Current task set: v0.19.0 · Wave 19

471 mechanically verified agent tasks

Compare agent harnesses on coding, tools, memory and long-context tasks. Every result is checked mechanically. Wave 19 adds 40 tasks: solve, diagnose or stop within 120 seconds. Individual task credit is the main score; matched-pair credit is an additional metric. Calibration of the released protocol is pending.

cowork: GLM-5.3 high 87.2% · 431 tasks · Haiku 4.5 79.6% · 411 tasks

471tasks
40wave 19 tasks · 20 pairs
80full v0.18.0 runs published
v0.19.0task-set version

No v0.19.0 model results yet. Published scores below use 431 or fewer tasks and are historical.

1–253Files, code, data & memory
254–313Agent workflows & Git
314–351Skills & adversarial tasks
352–391Terminal & CLI composition
392–411Long context
412–431Wave 18 · Tool reflection
432–471Wave 19 · Feasibility

Task-set v0.18.0

Historical leaderboard · v0.18.0 · 431 tasks

Tools and budgets vary across runs. Token counts are raw telemetry; 0 means unavailable.

Measurement notes: models, budgets and audits

Secret-700-SFT + native deepagents 0.6.12: completed October 17, 2026; 377/431 (87.5%), 54 failures, no pending tasks or unresolved infrastructure failures. All 431 unique tasks validated. Ordinary 368/391 (94.1%), long context 0/20, tool reflection 9/20 (45.0%). Nineteen long tasks timed out after 7,200 s; the remaining task failed its verifier. k=1, Linux bwrap, concurrency 2; reasoning enabled, effort default, history forwarded; temperature 0.8, top_p 0.95, max output 81,920 tokens per response. Task timeout 900 s with long/reflection floors of 7,200/1,800 s. Interactive-client reasoning limits were not applied.

Secret-700-SFT telemetry: steps cover 402/431 tasks; tokens cover 409/431. Raw token counters contain duplicate usage and omit final telemetry from some interrupted tasks. Native-trace and API totals are not yet reconciled; these are not verified spend or cost. Score validation is independent of the telemetry audit. Completed public aggregate replaces the earlier 409-task snapshot. Raw traces and backend identifiers remain private.

MultiTool CLI 1.14.33: completed 2026-10-14, @mean1 on all 431 tasks, Linux bwrap, concurrency 4. GLM-5.3 (z-ai/glm-5.3, high): ordinary 386/391, long 10/20, reflection 15/20; Claude Haiku 4.5 (anthropic/claude-haiku-4.5, default): 371/391, 1/20, 4/20. Custom evaluation profile: max output 16,384 tokens per response (native CLI default 32,000), timeout 900 s with 7200 s long and 1800 s reflection floors. Steps count native tool attempts; tokens include input, output, reasoning and cache usage across all parent and child sessions, audited from native SQLite telemetry for all 431 tasks. Token totals are not monetary cost. Transport-affected attempts were replaced after fixing streaming; no transient infrastructure failures remain. Six GLM long-task failures exhausted the output budget and were retained. API responses confirmed the requested model IDs but provided no build fingerprint.

cowork + GLM-5.3 (OpenRouter, high): 376/431 (87.2%), k=1, completed in two disjoint batches on October 13–14: retained 367/411 plus 9/20 reflection tasks. Legacy task definitions and the CLI runner were checked unchanged. Mimir local CLI with reduced evaluation tools, Linux bwrap, temperature 0.2, max_tokens 16,384, 80 tool calls, timeout 900 s with task floors. Native-trace usage covers 429/431; steps and tokens are lower bounds when timed-out tasks have no final telemetry. The prior task-397 technical retry remains disclosed in the v0.17 notes.

Scores and ranks here use the full historical 431-task set. @mean3 remains a mean of three runs. Scores use the v0.18.0 definitions of this 431-task result snapshot; wave 19 is not included. Steps and tokens below remain full-run totals.

Completed, validated full runs measured 2026-10-02–14. The PROM matrix is still running; incomplete runs and infrastructure failures are excluded. The PROM matrix uses one run per configuration (k=1), eight task slots across the matrix, bwrap isolation. The separate maestro harness run used four task workers and bwrap.

All listed PROM matrix runs scored 0/20 on the long-context wave. Reflection: GigaChat 2 Reasoning + mini-SWE-agent: 8/20; GigaChat 2 Reasoning + OpenCode: 1/20; GigaChat 2 Reasoning + deepagents: 1/20; GigaChat 2 Pro + mini-SWE-agent: 1/20; GigaChat 2 Reasoning + deepagents (GigaChat profile): 2/20; maestro harness: 1/20 (and 0/20 long); other listed runs 0/20. Tools, profiles and budgets differ; these single runs do not isolate the effect of the harness.

GigaChat 2 and GigaChat 3 Lightning (PROM): build 32.4.16.3. GigaChat 2 Pro and GigaChat 3 Pro (PROM): build 32.4.30.3. GigaChat 2 Max, GigaChat 3 Ultra and GigaChat 3.5 (PROM): build 32.9.16.9. GigaChat 2 Reasoning (PROM): build 3.5.16.9, reasoning medium. For non-Reasoning models, reasoning: default for deepagents, pi-mono, mini-SWE-agent and OpenCode; not requested for OpenHands; medium (native default) for Hermes. Runtime versions and integration details are recorded in the README.

GigaChat 2 Max + Hermes completed with 0/431 and no infrastructure failures recorded by the runner; the cause of the all-fail result remains under investigation.

‡ Three deepagents runs without profile (GigaChat 2 Pro, GigaChat 2 Reasoning and GigaChat 3 Pro) had HTTP 422 CONTEXT_TOO_LONG incorrectly classified as infrastructure errors. These are normal model/harness failures. Corrected derived reports retain the full denominator and original scores; source reports remain unchanged.

Telemetry: 0 means absent from the artifact. * Deepagents tokens are raw, unaudited counters with known duplicate usage accounting, not verified spend or cost. CLI counters await native-trace audit except for recorded mini-SWE-agent and maestro harness metrics.

maestro harness: MAESTRO CARL with a custom shell coding adapter and reasoning-history replay, not an upstream ready-made coding agent. Measured 2026-10-05, k=1; no compaction, self-critic or subagents. Ordinary 247/391 (63.2%), long 0/20, reflection 1/20; no infrastructure failures. Budget: 200 model turns / 900 s with native task-specific floors, max_tokens 16384. Steps count completed model responses; token totals were checked against native traces for all 431 tasks. Elapsed time 63.8 minutes. This result describes this adapter configuration; raw traces remain private.

Earlier task-set versions are historical and cannot be compared directly with v0.18.0.

One complete k=1 run on the full v0.18.0 set, including the long-context and tool-reflection waves. dsh 0.2.0-rc.2 headless, profile hbf, DeepSeek V4.1 Flash (deepseek-v4.1-flash), reasoning high, concurrency 3, Linux bwrap isolation; measured 2026-10-03/04.

Server-outage attempts were replaced by recovery attempts. The subsequent repeat hit another outage and is excluded; this is not mean@3. Steps and tokens cover 430/431 tasks and are lower bounds because usage for the timed-out task is absent. See the README measurement notes.

Free-code 2.1.251-free-code.1 + DeepSeek V4.1 Flash Uncensored FP8 (high): 419/431 (97.2%), @mean3, measured 2026-10-04/05. Individual runs: 421, 416, 420; sample standard deviation 0.6 percentage points. Average ordinary score 99.6%, long 63.3%, reflection 85.0%; pass@3 425/431 (98.6%), pass^3 409/431 (94.9%). No server outages. Steps and tokens are rounded per-run means; telemetry coverage was 430/431, 428/431, 430/431 and tokens are not independently audited.

Pi-mono 0.73.1 + DeepSeek V4.1 Flash Uncensored FP8 (high): 423/431 (98.1%), @mean1, measured 2026-10-05, concurrency 3, bwrap; ordinary 391/391, long 13/20, reflection 19/20. No infrastructure failures recorded. Steps and tokens are absent from the artifact (shown as 0). Both configurations use timeout 900 s with task-specific floors of 7200 s for long tasks and 1800 s for reflection. The dsh result is @mean1.

Additional completed DeepSeek V4.1 Flash Uncensored FP8 (high) runs, measured 2026-10-05/06: mini-SWE-agent 2.4.6, deepagents 0.6.12, OpenCode 1.18.33 and Hermes (revision 5307e93252ac), each @mean1 on all 431 tasks, concurrency 3, Linux bwrap. Interrupted jobs resumed from completed-task checkpoints; no infrastructure failures remain in the final reports. Raw token counters are not independently audited; deepagents telemetry covers 429/431 tasks and has known duplicate usage accounting. Zero denotes absent telemetry.

GLM-5.3 Flash Uncensored (glm-5.3-flash-uncensored), reasoning high: eight completed @mean1 runs, measured 2026-10-06/07 on v0.18.0, Linux bwrap, concurrency 3, with the same frozen harness versions as the DeepSeek matrix. Infrastructure attempts were replaced by retries; final reports contain no infrastructure errors. Token telemetry is raw and not independently audited; zero means absent.

The DeepSeek V4.1 Flash and GLM-5.3 Flash measurements here use dealignai uncensored FP8 snapshots, as identified by the stand owner: dealignai/DeepSeek-V4.1-Flash-UNCENSORED-FP8 and dealignai/GLM-5.3-Flash-UNCENSORED-FP8. These scores describe the modified snapshots and are not measurements of the original base checkpoints.

GigaCode Universal Agent gc-cli 0.4.0 (commit 8c76e8b0c) + DeepSeek V4.1 Flash Uncensored FP8 (high): 419/431 (97.2%), @mean1, measured 2026-10-09, concurrency 3, Linux bwrap via run-cli; ordinary 389/391, long 12/20, reflection 18/20. No infrastructure failures, retries or timeouts. Main loop reasoning high, auxiliary finish-gate/summary calls without thinking; guards and built-in skills disabled. Steps count model responses; tokens are the agent's own usage counters (coverage 431/431), not independently audited. Timeout 900 s with floors of 7200 s for long and 1800 s for reflection.

GigaCode Universal Agent gc-cli 0.4.0 + GLM-5.3 (z-ai/glm-5.3, upstream weights through OpenRouter, reasoning high): 423/431 (98.1%), @mean1, measured 2026-10-09/10 with the same run-cli/bwrap setup; ordinary 388/391, long 16/20, reflection 19/20. No infrastructure failures; two long tasks timed out at 7200 s and count as fails. Steps and tokens are the agent's own counters with coverage 429/431 (lower bounds), not independently audited. This is not the glm-5.3-flash-uncensored FP8 snapshot of the eight-harness GLM matrix and is not comparable to it.

GLM-5.3 (z-ai/glm-5.3, upstream weights through OpenRouter, reasoning high) harness matrix, all six runs completed 2026-10-09/10, each @mean1 on all 431 tasks with the same frozen runtimes as the DeepSeek matrix, Linux bwrap, concurrency 3: OpenCode 413/431 (ordinary 386, long 12, reflection 15), deepagents 408/431 (381/14/13), mini-SWE-agent 407/431 (385/9/13), pi-mono 396/431 (376/6/14), OpenHands 404/431 (384/6/14), Hermes 402/431 (387/3/12). No infrastructure failures remain; timed-out tasks count as fails. Token telemetry is raw and not independently audited; zero means absent. Not comparable with the glm-5.3-flash-uncensored FP8 rows.

GigaCode Universal Agent gc-cli 0.4.0, further OpenRouter runs with the same run-cli/bwrap setup, @mean1: Kimi-K3 (moonshotai/kimi-k3, reasoning high), measured 2026-10-10/11: 417/431 (96.7%), ordinary 387/391, long 13/20, reflection 17/20; six transient gateway errors were replaced by retries, no infrastructure failures remain; five tasks timed out and count as fails; usage coverage 426/431. GPT-6 Luna (openai/gpt-6-luna), measured 2026-10-11: 388/431 (90.0%), ordinary 376/391, long 3/20, reflection 9/20. The gateway accepts tool calls for this model on Chat Completions only with reasoning_effort: none, so this run has no reasoning and is not comparable with the high-effort rows; three tasks timed out; usage coverage 428/431. Tokens are the agent's own counters, not independently audited.

Codex CLI 0.159.3 + GPT-6.1 Sol (gpt-6.1-sol), reasoning low: completed @mean1 on 2026-10-07, 420/431 (97.4%). Ordinary 388/391, long 19/20, reflection 13/20; no infrastructure failures in the final report. Linux bwrap, concurrency 3, ChatGPT OAuth, multi-agent disabled, no user configs. Task timeout 900 s with floors of 7200 s for long and 1800 s for reflection. Native sessions confirm model and low effort. Tokens are raw runner telemetry, not independently audited. Network transport used end-to-end TLS through a Mac CONNECT/SSH tunnel; runner and task execution stayed on bench.

Historical full-run scores on 431 tasks. Light / Medium leaderboard →

1

pi-mono

DeepSeek V4.1 Flash Uncensored FP8 (high)

423/431
98.1%
@mean1 · Long wave 13/20 · Reflection 19/20 · Steps 0 · Tokens 0 (metrics absent)
1

GigaCode Universal Agent (gc-cli)

GLM-5.3 (OpenRouter) (high)

423/431
98.1%
@mean1 · Long wave 16/20 · Reflection 19/20 · Steps 4,581 · Tokens 271,316,552 (coverage 429/431)
3

dsh headless

DeepSeek V4.1 Flash Uncensored FP8 (high)

422/431
97.9%
@mean1 · Long wave 14/20 · Reflection 18/20 · Steps 3,973 · Tokens 249,558,870
3

Hermes

DeepSeek V4.1 Flash Uncensored FP8 (high)

422/431
97.9%
@mean1 · Long wave 14/20 · Reflection 20/20 · Steps 0 · Tokens 0 (metrics absent)
5

OpenCode

DeepSeek V4.1 Flash Uncensored FP8 (high)

421/431
97.7%
@mean1 · Long wave 14/20 · Reflection 19/20 · Steps 3,818 · Tokens 0 (metric absent)
6

Codex CLI

GPT-6.1 Sol (low)

420/431
97.4%
@mean1 · Long wave 19/20 · Reflection 13/20 · Steps 2,817 · Tokens 69,419,504 (raw)
7

free-code

DeepSeek V4.1 Flash Uncensored FP8 (high)

419/431
97.2%
@mean3 · SD 0.6 pp · Long mean 63.3% · Reflection mean 85.0% · Mean steps 4,311 · Mean tokens 631,963,525
7

GigaCode Universal Agent (gc-cli)

DeepSeek V4.1 Flash Uncensored FP8 (high)

419/431
97.2%
@mean1 · Long wave 12/20 · Reflection 18/20 · Steps 5,210 · Tokens 386,165,256
9

mini-SWE-agent

DeepSeek V4.1 Flash Uncensored FP8 (high)

418/431
97.0%
@mean1 · Long wave 10/20 · Reflection 20/20 · Steps 5,846 · Tokens 967,731,127 (raw)
10

GigaCode Universal Agent (gc-cli)

Kimi-K3 (OpenRouter) (high)

417/431
96.8%
@mean1 · Long wave 13/20 · Reflection 17/20 · Steps 3,402 · Tokens 171,347,666 (coverage 426/431)
11

OpenCode

GLM-5.3 (OpenRouter) (high)

413/431
95.8%
@mean1 · Long wave 12/20 · Reflection 15/20 · Steps 3,745 · Tokens 0 (metrics absent)
12

deepagents

DeepSeek V4.1 Flash Uncensored FP8 (high)

411/431
95.4%
@mean1 · Long wave 10/20 · Reflection 18/20 · Steps 10,086 · Tokens 854,671,935 (raw)*
12

MultiTool CLI

GLM-5.3 (OpenRouter) (high)

411/431
95.4%
@mean1 · Long wave 10/20 · Reflection 15/20 · Steps 3,600 · Tokens 155,371,241 (native audit, including child sessions)
14

deepagents*

GLM-5.3 (OpenRouter) (high)

408/431
94.7%
@mean1 · Long wave 14/20 · Reflection 13/20 · Steps 8,271 · Tokens 696,504,696* (coverage 429/431)
15

mini-SWE-agent

GLM-5.3 (OpenRouter) (high)

407/431
94.4%
@mean1 · Long wave 9/20 · Reflection 13/20 · Steps 5,191 · Tokens 769,563,983 (coverage 428/431)
16

dsh headless

GLM-5.3 Flash Uncensored FP8 (high)

405/431
94.0%
@mean1 · Long wave 7/20 · Reflection 15/20 · Steps 3,833 · Tokens 234,756,961 (raw; 0 means absent)
17

mini-SWE-agent

GLM-5.3 Flash Uncensored FP8 (high)

404/431
93.7%
@mean1 · Long wave 5/20 · Reflection 15/20 · Steps 5,109 · Tokens (raw) 375,324,319
17

free-code

GLM-5.3 Flash Uncensored FP8 (high)

404/431
93.7%
@mean1 · Long wave 12/20 · Reflection 11/20 · Steps 4,924 · Tokens 516,879,409 (raw; 0 means absent)
17

OpenHands

GLM-5.3 (OpenRouter) (high)

404/431
93.7%
@mean1 · Long wave 6/20 · Reflection 14/20 · Steps 0 · Tokens 0 (metrics absent)
20

Hermes

GLM-5.3 (OpenRouter) (high)

402/431
93.3%
@mean1 · Long wave 3/20 · Reflection 12/20 · Steps 0 · Tokens 0 (metrics absent)
21

Hermes

GLM-5.3 Flash Uncensored FP8 (high)

399/431
92.6%
@mean1 · Long wave 5/20 · Reflection 10/20 · Steps 0 · Tokens 0 (raw; 0 means absent)
22

pi-mono

GLM-5.3 Flash Uncensored FP8 (high)

397/431
92.1%
@mean1 · Long wave 4/20 · Reflection 13/20 · Steps 0 · Tokens (raw) 0
22

OpenCode

GLM-5.3 Flash Uncensored FP8 (high)

397/431
92.1%
@mean1 · Long wave 6/20 · Reflection 13/20 · Steps 2,911 · Tokens (raw) 0
24

pi-mono

GLM-5.3 (OpenRouter) (high)

396/431
91.9%
@mean1 · Long wave 6/20 · Reflection 14/20 · Steps 0 · Tokens 0 (metrics absent)
25

OpenHands

GLM-5.3 Flash Uncensored FP8 (high)

393/431
91.2%
@mean1 · Long wave 2/20 · Reflection 8/20 · Steps 0 · Tokens 0 (raw; 0 means absent)
26

GigaCode Universal Agent (gc-cli)

GPT-6 Luna (OpenRouter) (reasoning none)

388/431
90.0%
@mean1 · Long wave 3/20 · Reflection 9/20 · Steps 8,716 · Tokens 762,784,868 (coverage 428/431)
27

deepagents

Secret-700-SFT (reasoning default)

377/431
87.5%
@mean1 · Long wave 0/20 · Reflection 9/20 · Steps 6,321 · Tokens (raw, unaudited)* 149,806,005 · Measurement notes
28

MultiTool CLI

Claude Haiku 4.5 (default)

376/431
87.2%
@mean1 · Long wave 1/20 · Reflection 4/20 · Steps 5,460 · Tokens 212,030,792 (native audit, including child sessions)
28

cowork

GLM-5.3 (OpenRouter) (high)

376/431
87.2%
@mean1 · Long wave 1/20 · Reflection 9/20 · Steps ≥3,568 · Tokens ≥89,614,312 (coverage 429/431)
30

deepagents

GLM-5.3 Flash Uncensored FP8 (high)

375/431
87.0%
@mean1 · Long wave 3/20 · Reflection 13/20 · Steps 6,627 · Tokens (raw) 373,783,977
31

mini-SWE-agent

GigaChat 2 Reasoning (PROM) (medium)

371/431
86.1%
Long wave 0/20 · Reflection 8/20 · Steps 6,233 · Tokens (raw) 72,482,990
32

OpenCode

GigaChat 3 Ultra (PROM)

331/431
76.8%
Long wave 0/20 · Reflection 0/20 · Steps 5,271 · Tokens (raw) 0
33

OpenCode

GigaChat 2 Reasoning (PROM) (medium)

329/431
76.3%
Long wave 0/20 · Reflection 1/20 · Steps 3,612 · Tokens (raw) 0
34

OpenCode

GigaChat 2 Max (PROM)

327/431
75.9%
Long wave 0/20 · Reflection 0/20 · Steps 4,693 · Tokens (raw) 0
35

deepagents (GigaChat profile)

GigaChat 2 Max (PROM)

322/431
74.7%
Long wave 0/20 · Reflection 0/20 · Steps 4,976 · Tokens (raw) 267,982,386*
35

deepagents (GigaChat profile)

GigaChat 3.5 (PROM)

322/431
74.7%
Long wave 0/20 · Reflection 0/20 · Steps 5,329 · Tokens (raw) 317,335,707*
35

deepagents (GigaChat profile)

GigaChat 3 Ultra (PROM)

322/431
74.7%
Long wave 0/20 · Reflection 0/20 · Steps 4,447 · Tokens (raw) 366,492,603*
38

deepagents

GigaChat 3 Ultra (PROM)

305/431
70.8%
Long wave 0/20 · Reflection 1/20 · Steps 10,351 · Tokens (raw) 841,669,092*
39

deepagents

GigaChat 2 Max (PROM)

302/431
70.1%
Long wave 0/20 · Reflection 0/20 · Steps 10,433 · Tokens (raw) 1,004,755,677*
40

deepagents

GigaChat 3.5 (PROM)

299/431
69.4%
Long wave 0/20 · Reflection 0/20 · Steps 11,130 · Tokens (raw) 718,324,734*
41

pi-mono

GigaChat 2 Max (PROM)

298/431
69.1%
Long wave 0/20 · Reflection 0/20 · Steps 0 · Tokens (raw) 0
42

pi-mono

GigaChat 3 Ultra (PROM)

295/431
68.4%
Long wave 0/20 · Reflection 0/20 · Steps 0 · Tokens (raw) 0
43

pi-mono

GigaChat 3.5 (PROM)

294/431
68.2%
Long wave 0/20 · Reflection 0/20 · Steps 0 · Tokens (raw) 0
44

deepagents‡

GigaChat 2 Reasoning (PROM) (medium)

273/431
63.3%
Long wave 0/20 · Reflection 1/20 · Steps 10,702 · Tokens (raw) 453,994,698*
45

mini-SWE-agent

GigaChat 2 Pro (PROM)

266/431
61.7%
Long wave 0/20 · Reflection 1/20 · Steps 11,451 · Tokens (raw) 231,616,980
46

mini-SWE-agent

GigaChat 3 Pro (PROM)

253/431
58.7%
Long wave 0/20 · Reflection 1/20 · Steps 9,169 · Tokens (raw) 172,168,626
47

deepagents (GigaChat profile)

GigaChat 2 Reasoning (PROM) (medium)

252/431
58.5%
Long wave 0/20 · Reflection 2/20 · Steps 5,595 · Tokens (raw) 138,611,193*
48

maestro harness

GigaChat 2 Reasoning (PROM) (medium)

248/431
57.5%
@mean1 · Long wave 0/20 · Reflection 1/20 · Steps 2,214 · Tokens 6,210,278
49

deepagents (GigaChat profile)

GigaChat 2 Pro (PROM)

224/431
52.0%
Long wave 0/20 · Reflection 0/20 · Steps 5,159 · Tokens (raw) 368,044,770*
50

Hermes

GigaChat 2 Pro (PROM)

220/431
51.0%
Long wave 0/20 · Reflection 0/20 · Steps 0 · Tokens (raw) 0
51

Hermes

GigaChat 3 Pro (PROM)

217/431
50.3%
Long wave 0/20 · Reflection 0/20 · Steps 0 · Tokens (raw) 0
52

pi-mono

GigaChat 3 Pro (PROM)

216/431
50.1%
Long wave 0/20 · Reflection 0/20 · Steps 0 · Tokens (raw) 0
53

mini-SWE-agent

GigaChat 3.5 (PROM)

212/431
49.2%
Long wave 0/20 · Reflection 0/20 · Steps 3,744 · Tokens (raw) 54,768,767
53

deepagents (GigaChat profile)

GigaChat 3 Pro (PROM)

212/431
49.2%
Long wave 0/20 · Reflection 0/20 · Steps 6,289 · Tokens (raw) 486,699,543*
55

mini-SWE-agent

GigaChat 3 Ultra (PROM)

207/431
48.0%
Long wave 0/20 · Reflection 1/20 · Steps 4,820 · Tokens (raw) 124,288,018
56

pi-mono

GigaChat 2 Pro (PROM)

205/431
47.6%
Long wave 0/20 · Reflection 0/20 · Steps 0 · Tokens (raw) 0
57

mini-SWE-agent

GigaChat 2 Max (PROM)

198/431
45.9%
Long wave 0/20 · Reflection 0/20 · Steps 4,932 · Tokens (raw) 107,919,373
58

deepagents‡

GigaChat 3 Pro (PROM)

191/431
44.3%
Long wave 0/20 · Reflection 0/20 · Steps 5,711 · Tokens (raw) 295,423,833*
59

deepagents‡

GigaChat 2 Pro (PROM)

188/431
43.6%
Long wave 0/20 · Reflection 0/20 · Steps 5,749 · Tokens (raw) 349,701,240*
60

OpenCode

GigaChat 3 Pro (PROM)

174/431
40.4%
Long wave 0/20 · Reflection 0/20 · Steps 3,071 · Tokens (raw) 0
61

pi-mono

GigaChat 3 Lightning (PROM)

171/431
39.7%
Long wave 0/20 · Reflection 0/20 · Steps 0 · Tokens (raw) 0
62

OpenCode

GigaChat 2 Pro (PROM)

169/431
39.2%
Long wave 0/20 · Reflection 0/20 · Steps 3,001 · Tokens (raw) 0
63

pi-mono

GigaChat 2 (PROM)

164/431
38.1%
Long wave 0/20 · Reflection 0/20 · Steps 0 · Tokens (raw) 0
64

OpenHands

GigaChat 2 Reasoning (PROM) (medium)

160/431
37.1%
Long wave 0/20 · Reflection 0/20 · Steps 0 · Tokens (raw) 0
65

OpenHands

GigaChat 2 (PROM)

159/431
36.9%
Long wave 0/20 · Reflection 0/20 · Steps 0 · Tokens (raw) 0
65

Hermes

GigaChat 2 Reasoning (PROM) (medium)

159/431
36.9%
Long wave 0/20 · Reflection 0/20 · Steps 0 · Tokens (raw) 0
67

Hermes

GigaChat 3 Lightning (PROM)

156/431
36.2%
Long wave 0/20 · Reflection 0/20 · Steps 0 · Tokens (raw) 0
68

OpenHands

GigaChat 3 Lightning (PROM)

146/431
33.9%
Long wave 0/20 · Reflection 0/20 · Steps 0 · Tokens (raw) 0
69

deepagents (GigaChat profile)

GigaChat 2 (PROM)

144/431
33.4%
Long wave 0/20 · Reflection 0/20 · Steps 2,817 · Tokens (raw) 136,240,902*
70

Hermes

GigaChat 2 (PROM)

141/431
32.7%
Long wave 0/20 · Reflection 0/20 · Steps 0 · Tokens (raw) 0
71

OpenCode

GigaChat 2 (PROM)

139/431
32.3%
Long wave 0/20 · Reflection 0/20 · Steps 8,575 · Tokens (raw) 0
72

deepagents (GigaChat profile)

GigaChat 3 Lightning (PROM)

134/431
31.1%
Long wave 0/20 · Reflection 0/20 · Steps 3,545 · Tokens (raw) 148,656,135*
72

OpenCode

GigaChat 3 Lightning (PROM)

134/431
31.1%
Long wave 0/20 · Reflection 0/20 · Steps 10,580 · Tokens (raw) 0
74

deepagents

GigaChat 3 Lightning (PROM)

113/431
26.2%
Long wave 0/20 · Reflection 0/20 · Steps 5,330 · Tokens (raw) 326,514,969*
75

deepagents

GigaChat 2 (PROM)

111/431
25.8%
Long wave 0/20 · Reflection 0/20 · Steps 5,336 · Tokens (raw) 288,537,210*
76

mini-SWE-agent

GigaChat 2 (PROM)

21/431
4.9%
Long wave 0/20 · Reflection 0/20 · Steps 1,786 · Tokens (raw) 4,976,949
77

mini-SWE-agent

GigaChat 3 Lightning (PROM)

9/431
2.1%
Long wave 0/20 · Reflection 0/20 · Steps 2,042 · Tokens (raw) 4,511,527
Zero-score runs (1)
78

Hermes

GigaChat 2 Max (PROM)

0/431
0.0%
Long wave 0/20 · Reflection 0/20 · Steps 0 · Tokens (raw) 0
History Earlier results: task-set v0.17.0, 411 tasks

Full 411-task runs. Different task-set versions are not directly comparable.

cowork: Mimir local CLI · measured October 13. GLM-5.3 high: 16,384 tokens / 80 tool calls; Haiku: 2,048 / 12.

Measurement notes: v0.17 and cowork

Every run covers the full 411-task set, including the long-context wave (tasks 392–411). One full run per harness + model setup, measured 2026-09-29/30, except cowork (2026-10-13). DeepSeek V4.1 Flash, GPT-6 Luna and GLM-5.3 run on stock deepagents with reasoning effort high (GPT-6 Luna through the Responses API); Claude Haiku 4.5 with the built-in Anthropic harness profile. The deepagents GigaChat rows use deepagents-gigachat 0.0.4 through the native runner, builds 32.9.16.9 (xxxB, internal version) and 3.5.16.9 (Ultra Reasoning, PROM); all Ultra Reasoning runs use a client workaround for a PROM function-calling defect (see the README). The four GigaChat CLI runs use mini-SWE-agent 2.4.6 or pi-mono 0.73.1 in bwrap: reasoning default for the internal version, medium with reasoning-history replay for PROM. Tools, isolation and budgets differ between configurations; these are single runs, not a controlled comparison of harnesses alone. CLI token counts were audited from native traces and can undercount interrupted responses. Historical deepagents token totals are runner telemetry that can overcount duplicated usage fields; they are not independently verified cost estimates. The mini-SWE PROM score includes one correction for service telemetry mistaken for a secret leak; see the README audit notes.

cowork: local CLI adapter around Mimir's model loop, production prompt and reduced evaluation tools; excludes the full Yggdrasil/Restate/MCP/HITL stack. Measured 2026-10-13, k=1, frozen v0.17.0, OpenRouter, Linux bwrap, concurrency 8, temperature 0.2. GLM-5.3 high: 16,384 tokens per response / 80 tool calls; Haiku 4.5 default: 2,048 / 12. Timeout 900 s with long-wave floors. Native-trace metrics cover 411/411 retained task attempts. Including infrastructure attempts: GLM 87,296,288 tokens, Haiku 37,809,500. GLM task 397 received one technical retry after HTTP 400 of unresolved origin and a streaming replay returning 502; the retry failed at the tool limit, so the score is unchanged. Budgets differ; no repeat-based variance estimate. See the README for audit details.

1

deepagents

DeepSeek V4.1 Flash (high)

406/411
98.8%
Long wave 18/20 · Steps 10,457 · Tokens 1,693,784,997
2

deepagents

GPT-6 Luna (high, Responses API)

390/411
94.9%
Long wave 12/20 · Steps 9,822 · Tokens 360,640,300
3

deepagents

GLM-5.3 (high)

389/411
94.6%
Long wave 14/20 · Steps 8,031 · Tokens 1,005,651,882
4

cowork

GLM-5.3 (high)

367/411
89.3%
@mean1 · Mimir local CLI · Long wave 1/20 · Steps 3,187 · Tokens 82,088,043
5

mini-SWE-agent

GigaChat 3.5 Ultra Reasoning (PROM)

366/411
89.1%
Long wave 0/20 · Steps 5,898 · Tokens 60,635,573
6

deepagents + Anthropic profile

Claude Haiku 4.5

361/411
87.8%
Long wave 1/20 · Steps 7,326 · Tokens 600,214,572
7

deepagents + GigaChat profile

GigaChat 3.5 xxxB (internal version)

348/411
84.7%
Long wave 0/20 · Steps 5,207 · Tokens 61,842,876
8

cowork

Claude Haiku 4.5 (default)

327/411
79.6%
@mean1 · Mimir local CLI · Long wave 0/20 · Steps 2,133 · Tokens 37,464,508
9

pi-mono

GigaChat 3.5 xxxB (internal version)

316/411
76.9%
Long wave 0/20 · Steps 5,027 · Tokens 331,507,322
10

pi-mono

GigaChat 3.5 Ultra Reasoning (PROM)

299/411
72.7%
Long wave 0/20 · Steps 3,291 · Tokens 139,229,464
11

mini-SWE-agent

GigaChat 3.5 xxxB (internal version)

237/411
57.7%
Long wave 0/20 · Steps 5,044 · Tokens 44,772,995
12

deepagents + GigaChat profile

GigaChat 3.5 Ultra Reasoning (PROM, workaround)

222/411
54.0%
Long wave 0/20 · Steps 3,879 · Tokens 38,611,899
History Earlier results: task-set v0.16.0, 391 tasks
Measurement notes: v0.16

Results below use the full 391-task set (task-set v0.16.0). The current task set is v0.18.0 (431 tasks); these rows are not runs of it, and the v0.16.0 audit already made earlier scores incomparable. One full run per harness + model setup is listed (k=1). The 13 archived benchmark-server runs were verified against their JSON artifacts on 2026-10-01; the separately recorded Pi run is also retained. This is a verification date, not a measurement date. Different harnesses and profiles measure complete configurations, not model weights alone. Reasoning is default unless explicitly labelled; historical artifacts do not establish the provider default. Filter by model group or a single harness; steps and tokens are shown only when the harness exposes them. GigaChat rows are the internal version, build 32.9.23.6; GigaChat-profile rows were measured with deepagents-gigachat 0.0.3 (see the README for the result-affecting 0.0.4 pin change). One run per configuration does not establish repeatability or the significance of small score differences.

14 of 14 shown

1

Kimi CLI

Kimi K3

390/391
99.7%
Steps — · Tokens —
2

Pi

DeepSeek V4 Flash 0731 (high)

387/391
99.0%
Steps 1,694 · Tokens 10,004,355
3

Claude Code CLI

Claude Haiku 4.5

380/391
97.2%
Steps 1,645 · Tokens 176,430,286
4

opencode

GLM-5.2 (self-hosted)

362/391
92.6%
Steps — · Tokens —
5

deepagents + GigaChat profile

GigaChat 3.5

340/391
87.0%
Steps 3,316 · Tokens 4,319,421
5

deepagents + GigaChat profile

GigaChat 3 Ultra

340/391
87.0%
Steps 3,258 · Tokens 4,415,043
7

deepagents

DeepSeek V4 Flash

320/391
81.8%
Steps 5,048 · Tokens 61,715,547
8

deepagents

GigaChat 3 Ultra

312/391
79.8%
Steps 3,591 · Tokens 7,994,643
9

deepagents

GigaChat 3.5

302/391
77.2%
Steps 3,542 · Tokens 7,371,576
10

deepagents

Qwen3 Coder 30B-A3B

284/391
72.6%
Steps 5,467 · Tokens 90,234,558
11

deepagents + GigaChat profile

GigaChat 3 Pro

241/391
61.6%
Steps 2,993 · Tokens 3,975,672
12

deepagents

GPT-OSS-20B

193/391
49.4%
Steps 2,727 · Tokens 29,137,983
13

deepagents

GPT-OSS-120B

186/391
47.6%
Steps 2,193 · Tokens 23,831,283
14

deepagents + GigaChat profile

GigaChat 3 Lightning

178/391
45.5%
Steps 2,520 · Tokens 2,275,821

Verification

No LLM judge

Each task is checked mechanically: exact files, JSON shape and values, pytest outcomes, SQLite/XLSX checks, regex matches, and deterministic command outputs.