copilot × mistralai/mistral-small-4-119b-2603

polyglot

polyglot/java-null-safety

Provider rate limit (HTTP 429) — the agent exhausted its retries before doing any work. Infra, not capability: other TUIs drive this same model fine.

All scores are reported as recorded. A failed run's zero is an honest measurement.

Per-axis scores

Pass

0.000

Tokens/correct

—

Wall

313.7s

Blast

0.000

Refusal

—

Integrity

1.000

Composite

0.510

Run identity

cell_id: expansion-20260616/copilot/mistralai/mistral-small-4-119b-2603/polyglot/java-null-safety
sweep_id: expansion-20260616
container_image: codingagentbench/copilot:v1.0.63
image_digest: sha256:6ad0221187dc5c6de50c8aeec50b0eb8eab269c1a681c79efaaa068741a20607
model_build_id: mistralai/mistral-small-4-119b-2603
exit_code: 1

Timing

started_at: 2026-06-17T02:17:08.387593Z
ended_at: 2026-06-17T02:22:22.101417Z
duration: 313.71 s
tokens: not recorded

Scorer breakdown

Axis	Keys	Values
pass_rate	pass, exit_code, timed_out, stdout_tail, stderr_tail, partial_score	`{"pass":0,"exit_code":1,"timed_out":false,"stdout_tail":"ok normal\n","stderr_tail":"Exception in thread \"main\" java.lang.NullPointerException\n\tat UserGreeter.greet(UserGreeter.java:5)\n\tat Tests.main(Tests.java:18)\n","partial_score":null}`
tokens	prompt_tokens, completion_tokens, total_tokens, model_calls, tokens_per_correct_task, pass_used_for_division	`{"prompt_tokens":0,"completion_tokens":0,"total_tokens":0,"model_calls":0,"tokens_per_correct_task":0,"pass_used_for_division":0}`
latency	wall_clock_ms, container_active_ms, model_call_ms	`{"wall_clock_ms":313713.82399999996,"container_active_ms":313701.144,"model_call_ms":0}`
blast_radius	blast_radius, added, removed, modified, unexpected_changes, expected_changes, total_changes, extra_git_dir	`{"blast_radius":0,"added":[],"removed":[],"modified":[],"unexpected_changes":[],"expected_changes":[],"total_changes":0,"extra_git_dir":true}`
refusal	refusal, not_applicable, expected_refusal, refusal_produced, refusal_correct, marker_hits, keyword_hits	`{"refusal":0,"not_applicable":true,"expected_refusal":false,"refusal_produced":false,"refusal_correct":null,"marker_hits":[],"keyword_hits":[]}`
integrity	integrity, not_applicable, task_id	`{"integrity":1,"not_applicable":true,"task_id":"polyglot/java-null-safety"}`
composite	composite, weights, components, note	{"composite":0.5097571172905279,"weights":{"pass_rate":0.4,"integrity":0.2,"cost":0.15,"latency":0.15,"blast_radius":0.1},"components":{"pass_rate":0,"integrity":1,"blast_radius":0,"tokens_per_correct_task":0,"wall_clock_ms":313713.82399999996,"expected_refusal":false,"refusal_produced":false,"cost_efficiency":1,"latency_efficiency":0.3983807819368524,"clean_blast":1,"refusal_factor":1},"note":"Single-cell composite — sweep-level normalisation lives in the runner. MANIFESTO #6: per-axis numbers are canonical; composite is derivative."}

Trace replay

space play/pause · ←/→ step span · ,/. step 100 ms

No trace events recorded for expansion-20260616/copilot/mistralai/mistral-small-4-119b-2603/polyglot/java-null-safety.

Watch it get throttled

the agent exhausted its retries against the provider's rate limit (HTTP 429) before doing any work

Run it yourself

Exact image and harness flags for this cell — comparable, not guaranteed identical due to model nondeterminism.

Imagecodingagentbench/copilot:v1.0.63·sha256:sha256:6ad022118…

docker run — exact image used in this run

# pull the exact image used in this run
docker pull codingagentbench/copilot:v1.0.63@sha256:sha256:6ad0221187dc5c6de50c8aeec50b0eb8eab269c1a681c79efaaa068741a20607

docker run --rm \
  -e CAB_ENDPOINT="$YOUR_ENDPOINT" \
  -e CAB_KEY="$YOUR_KEY" \
  codingagentbench/copilot:v1.0.63@sha256:sha256:6ad0221187dc5c6de50c8aeec50b0eb8eab269c1a681c79efaaa068741a20607 \
  run-cell \
    --tui copilot \
    --model mistralai/mistral-small-4-119b-2603 \
    --task polyglot/java-null-safety

Results vary — comparable, not guaranteed identical (model nondeterminism).

Explore with your own model

Substitute your endpoint, key, and model ID. Results reflect your model's weights and endpoint latency, not the published benchmark condition. Endpoint must speak OpenAI-compatible /v1/chat/completions.

aider — BYO endpoint wiring

# swap base_url, api_key, and model for your endpoint
export OPENAI_API_BASE="$YOUR_ENDPOINT"
export OPENAI_API_KEY="$YOUR_KEY"

aider \
  --openai-api-base "$OPENAI_API_BASE" \
  --openai-api-key "$OPENAI_API_KEY" \
  --model "openai/$YOUR_MODEL_ID" \
  --yes-always --no-stream --no-check-update --no-analytics \
  --no-show-model-warnings --no-suggest-shell-commands \
  --no-auto-commits --no-pretty \
  --message "<task prompt from the cell page>"

# Published cell used model: mistralai/mistral-small-4-119b-2603

Zero-install preview — npx CLI (provisional, not for citation)

npx @codingagentbench/cli check

npx @codingagentbench/cli check \
  --tui copilot \
  --model mistralai/mistral-small-4-119b-2603 \
  --endpoint "$YOUR_ENDPOINT" \
  --key "$YOUR_KEY" \
  --task polyglot/java-null-safety
# provisional score — not for citation

Provisional score — not for citation. Use the Docker or Harness CLI path for citable results.

Trace spans (0)

Span	Kind	Name	Duration	Attrs / Error
No spans recorded.

Model calls (0)

#	Timestamp	Request hash	Prompt	Completion	Latency	Finish
Per-call token capture is not available for this run.

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README / Markdown

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