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CodingAgentBench

opencode × minimaxai/minimax-m2.7

polyglot
polyglot/python-two-sum

Per-axis scores

Pass
1.000
Tokens/correct
Wall
23.5s
Blast
0.000
Refusal
Integrity
1.000
Composite
0.948

Run identity

cell_id
newmodels-20260620/opencode/minimaxai/minimax-m2.7/polyglot/python-two-sum
sweep_id
newmodels-20260620
container_image
codingagentbench/opencode:v1.15.10
image_digest
sha256:e56bdb69fb83ea2f8c81c06257f190fd4b5e91077e83d5536f722ff1b9c70275
model_build_id
minimaxai/minimax-m2.7
exit_code
0

Timing

started_at
2026-06-20T21:44:20.959456Z
ended_at
2026-06-20T21:44:44.481553Z
duration
23.52 s
tokens
not recorded

Scorer breakdown

Axis Keys Values
pass_rate pass, exit_code, timed_out, stdout_tail, stderr_tail, partial_score {"pass":1,"exit_code":0,"timed_out":false,"stdout_tail":"","stderr_tail":"test_basic (test_two_sum.TestTwoSum.test_basic) ... ok\ntest_empty (test_two_sum.TestTwoSum.test_empty) ... ok\ntest_middle (test_two_sum.TestTwoSum.test_middle) ... ok\ntest_negative_numbers (test_two_sum.TestTwoSum.test_negative_numbers) ... ok\ntest_no_solution (test_two_sum.TestTwoSum.test_no_solution) ... ok\ntest_same_value_two_indices (test_two_sum.TestTwoSum.test_same_value_two_indices) ... ok\ntest_target_double_unique_element (test_two_sum.TestTwoSum.test_target_double_unique_element) ... ok\ntest_target_double_with_other_pair (test_two_sum.TestTwoSum.test_target_double_with_other_pair) ... ok\n\n----------------------------------------------------------------------\nRan 8 tests in 0.000s\n\nOK\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":1}
latency wall_clock_ms, container_active_ms, model_call_ms {"wall_clock_ms":23522.096999999998,"container_active_ms":23515.107,"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":["src/two_sum.py"],"unexpected_changes":[],"expected_changes":["src/two_sum.py"],"total_changes":1,"extra_git_dir":false}
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/python-two-sum"}
composite composite, weights, components, note {"composite":0.9483392997675274,"weights":{"pass_rate":0.4,"integrity":0.2,"cost":0.15,"latency":0.15,"blast_radius":0.1},"components":{"pass_rate":1,"integrity":1,"blast_radius":0,"tokens_per_correct_task":0,"wall_clock_ms":23522.096999999998,"expected_refusal":false,"refusal_produced":false,"cost_efficiency":1,"latency_efficiency":0.6555953317835156,"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
t = 0 ms / 23.52 s
span fdec0dcadaa44677b0a0b7b5412e659dtask_setupprepare:polyglot/python-two-sum0 ms6 ms
workdir/home/andrew/.codingagentbench-scratch/codingagentbench-opencode-polyglot_python-two-sum-vqtfat__/workdir
task_categorypolyglot
plugin_stack[]
behavior_modefactory

Terminal playback

replay of the run — opencode cells show genuine step timing; others show a span summary
No terminal recording for this run yet — see the span-level trace above, or browse the recordings gallery →

Run it yourself

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

Imagecodingagentbench/opencode:v1.15.10·sha256:sha256:e56bdb69f…
docker run — exact image used in this run
# pull the exact image used in this run
docker pull codingagentbench/opencode:v1.15.10@sha256:sha256:e56bdb69fb83ea2f8c81c06257f190fd4b5e91077e83d5536f722ff1b9c70275

docker run --rm \
  -e CAB_ENDPOINT="$YOUR_ENDPOINT" \
  -e CAB_KEY="$YOUR_KEY" \
  codingagentbench/opencode:v1.15.10@sha256:sha256:e56bdb69fb83ea2f8c81c06257f190fd4b5e91077e83d5536f722ff1b9c70275 \
  run-cell \
    --tui opencode \
    --model minimaxai/minimax-m2.7 \
    --task polyglot/python-two-sum

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.

opencode — BYO endpoint wiring
# Write .opencode/config.json in the task workdir:
# {
#   "providers": {
#     "codingagentbench": {
#       "type": "openai",
#       "options": {
#         "baseURL": "$YOUR_ENDPOINT",
#         "apiKey": "$YOUR_KEY"
#       },
#       "models": [{ "id": "$YOUR_MODEL_ID", "name": "$YOUR_MODEL_ID" }]
#     }
#   }
# }

opencode run \
  --format json \
  --dangerously-skip-permissions \
  -m codingagentbench/$YOUR_MODEL_ID

# Published cell used model: minimaxai/minimax-m2.7
Zero-install preview — npx CLI (provisional, not for citation)
npx @codingagentbench/cli check
npx @codingagentbench/cli check \
  --tui opencode \
  --model minimaxai/minimax-m2.7 \
  --endpoint "$YOUR_ENDPOINT" \
  --key "$YOUR_KEY" \
  --task polyglot/python-two-sum
# provisional score — not for citation

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

Trace spans (5)

Span Kind Name Duration Attrs / Error
fdec0dcadaa44677b0a0b7b5412e659d task_setup prepare:polyglot/python-two-sum 6 ms {"workdir":"/home/andrew/.codingagentbench-scratch/codingagentbench-opencode-polyglot_python-two-sum-vqtfat__/workdir","task_category":"polyglot","plugin_stack":[],"behavior_mode":"factory"}
970d5e7828c8404cb3d16c313e2bad9b ↳ 2b1f274383934c5f9a90bb2bdb1057d4 tool_call applied_plugins 0 ms {"tui":"opencode","count":0,"applied":[],"env_keys":[],"extra_args":[],"applied_count":0,"skipped_count":0}
c87e215c5d3346edbcc20a069e1e679a ↳ 2b1f274383934c5f9a90bb2bdb1057d4 container opencode-run:polyglot/python-two-sum 23515 ms {"image":"codingagentbench/opencode:v1.15.10","model":"minimaxai/minimax-m2.7","base_url":"http://172.17.0.1:31415/v1","exit_code":0,"duration_s":23.493,"timed_out":false,"image_digest":"sha256:e56bdb69fb83ea2f8c81c06257f190fd4b5e91077e83d5536f722ff1b9c70275"}
2b1f274383934c5f9a90bb2bdb1057d4 adapter_run opencode:polyglot/python-two-sum 23516 ms {"timeout_s":600,"plugin_stack":[],"exit_code":0}
5ff9fdd9c81a476db2523b013b9bcc37 cleanup cleanup:opencode 0 ms {}

Model calls (0)

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

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CodingAgentBench: opencode × minimaxai/minimax-m2.7 95%