AMA

Value ranking

Best value on Recovery Rate

How often the model self-corrects after producing an incorrect intermediate step (debugging axis upstream). Critical for agentic loops that depend on the model noticing and repairing its own mistakes rather than barrelling forward.

“Value” is normalized benchmark score (0–100 for this leaderboard cohort) divided by input price per million tokens. Higher means more capability per dollar on this axis only — always sanity-check latency, context length, and your real workload.

  1. 1
    Gemini 3 Pro
    Google
    80.00
    100.0 / $1.25/M
  2. 2
    GPT-5.4
    OpenAI
    66.67
    100.0 / $1.50/M
  3. 3
    GPT-5.5
    OpenAI
    66.67
    100.0 / $1.50/M
  4. 4
    Claude Sonnet 4.5
    Anthropic
    33.33
    100.0 / $3.00/M
  5. 5
    Claude Opus 4.6
    Anthropic
    6.67
    100.0 / $15.00/M
  6. 6
    Claude Opus 4.7
    Anthropic
    6.67
    100.0 / $15.00/M
  7. 7
    Claude Opus 4.5
    Anthropic
    5.41
    81.1 / $15.00/M
  8. 8
    Claude Sonnet 4.6
    Anthropic
    0.00
    0.0 / $3.00/M
Open full leaderboard

AI Model Analyzer does not recommend specific vendors; rankings are derived from public data only.