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OmniDocBench 1.5
We haven't written a description for this benchmark yet; see the card notes below for how each maker ran it.
Your workloadRAG over docs · 12K in · 600 out · 50K requests/mo · 30% cached
- ModelScoreYour cost / mo
- 1Qwen3.8-27B · Alibababest value91.1%
“Best value”: no other model here reports a higher score at a lower cost for your workload. Scores are self-reported by each maker with different settings, so treat close calls as ties.
How each maker reported it
- 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).
Only each model's own maker's number is shown; scores a maker reports for rival models are left out.