aiaimodel.cards
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CharXiv Reasoning (no tools)

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. 1Gemini 3.8 Flash · Googlebest value
    86.2%
  2. 2Gemini 3.6 Flash · Googlebest value
    85.2%
  3. 3Claude Opus 4.7 · Anthropic
    82.1%
  4. 4Gemini 3.5 Flash-Lite · Googlebest value
    74.5%

“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

  • Gemini 3.8 Flash p.5

    Results as of September 2026, as published in Google's model card. Prices in the card list $0.75 / $3.75 with $1.50 / $7.50 as the regular rate. LVBench value for 3.8 Flash is the agentic setting (static: 87.1%).

  • Gemini 3.6 Flash p.4 (table also on the model card web page)

    Results as of July 2026, as published in Google's model card. Competitor figures are as listed by Google.

  • Claude Opus 4.7 Table 8.1.A, p.191–192

    Opus 4.7 uses adaptive thinking at max effort with default sampling, averaged over 5 trials (Terminal-Bench 2.0 with thinking disabled; Finance Agent at high effort). Competitor figures come from the developers' own published cards or leaderboards.

  • Gemini 3.5 Flash-Lite p.4

    Results as of July 2026, as published in Google's model card. Competitor figures are as listed by Google.

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