NL2Repo-Bench

How each maker reported it

• DeepSeek-V4.1-Flash Table 3, p.33

  All models at max reasoning effort. Code-agent benchmarks use DeepSeek Harness Minimal mode with 1M context; DeepSWE uses mini-SWE; visual agent tasks use the Claude Code harness with 512K context. HLE for some models is the text-only subset. The Hugging Face card lists NL2Repo-Bench as 64.0; the report and change log say 65.4.

• Qwen3.8-Max model card (Benchmark Results)

  Qwen's own table. Terminal Bench 2.1 run with Claude Code (avg@10); competitor scores are the best published across harnesses. SWE-bench Pro uses a corrected task set. Rows marked in-house are Qwen benchmarks. Fable 5 results may involve fallbacks. Agents' Last Exam is split into pass rate and score.

• Qwen3.8-Flash model card (Benchmark Results)

  Qwen's own tables. SWE tasks use Claude Code or mini-SWE-agent at temperature 1.0 and 256K context; HLE judged by GPT-4o. OSWorld 2.0 and two-setting rows are split. DeepSeek-V4-Flash is not in the vision table.

• Dola Seed 2.1 Turbo Tables 1, 2, 5, 11 (pp.9, 10, 19, 53)

  ByteDance's own runs from the Seed2.1 model card. Seed 2.1 Pro (not on BytePlus) is shown for reference. ProgramBench is reported as the average pass rate.

• Qwen3.8-27B model card (Text Performance, VL Performance)

  Qwen's own tables. SWE-bench Pro uses Claude Code on a corrected task set (Opus 4.6 is its published score). HLE judged by GPT-4o. Muse Glimmer-30B's CharXiv cell (78.8) does not say which setting, so it is left out. Qwen3.7-Plus figures here differ slightly from the Flash-Next card (e.g. SWE-bench Pro 57.6 vs 55.8).

• Qwen3.7-Plus Qwen3.8-Flash-Next model card (Benchmark Results)

  Qwen published Qwen3.7-Plus scores as a comparison column in its Qwen3.8 cards. The Qwen3.8-27B card reports slightly different Qwen3.7-Plus numbers for some rows (e.g. SWE-bench Pro 57.6, DeepSWE 14.2).