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CharXiv Reasoning

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
  1. 1Muse Spark 1.1 · Metabest value
    88.4%
  2. 2Muse Glimmer 30B · Metabest value
    78.8%
  3. 3Gemini 3.1 Flash-Lite · Googlebest value
    73.2%

“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

  • Muse Spark 1.1 model page; report §5

    Highest reasoning effort for every model (high for Gemini 3.1 Pro, max for Opus 4.8). "Muse Spark (1.0)" is the earlier model. Third-party scores are Meta's best-effort runs.

  • Muse Glimmer 30B Benchmarks

    Meta's own results. Muse Glimmer at high reasoning; Gemma4-31B and Qwen3.6-27B in thinking mode. GDPVal-AA v2 is an Elo-style score.

  • Gemini 3.1 Flash-Lite p.4 (table also on the model card web page)

    Results as of March 2026, as published in Google's model card. Settings as labelled by Google: 3.1 Flash-Lite High, 2.5 Flash and 2.5 Flash-Lite Dynamic, GPT-5 mini High, Claude 4.5 Haiku Extended Thinking, Grok 4.1 Fast Reasoning. GPT-5 mini CharXiv value is with python.

Only each model's own maker's number is shown; scores a maker reports for rival models are left out.