DeepSeek V4 Flash 0731 hits 82.7% on Terminal-Bench 2.1 in an independent public-harness run (445 trials)
Mirrored from r/LocalLLaMA for archival readability. Support the source by reading on the original site.
Disclosure: I’m the author of Ante.
DeepSeek recently reported an 82.7% score on Terminal-Bench 2.1 for DeepSeek V4 Flash 0731. Its evaluation used “DeepSeek Harness minimal mode,” which hasn’t been released yet.
We wanted to see whether the reported result could be independently matched using a public, downloadable harness.
With Ante 0.preview.71, we got:
- 368 successful trials out of 445
- 82.7% accuracy (±1.79 SE)
- 89 Terminal-Bench 2.1 tasks
- 5 trials per task
- max reasoning effort
- no skills enabled
deepseek/deepseek-v4-flash-0731through OpenRouter
The complete Harbor job is public. It includes the pinned configuration and all 445 trial records, with rewards, exceptions, durations, and token usage.
Deep seek v4 seems to be sensitive to harness and this is probably useful data for anyone who is interested
Sources:
- DeepSeek’s reported result: https://api-docs.deepseek.com/updates/
- Public Harbor run and configuration: https://hub.harborframework.com/jobs/b2a14e4b-a422-45f2-832e-cf2eec5c8bff
- Ante benchmark page: https://antigma.ai/eval
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