Value ranking
Best value on Output Stability
How consistent the model's outputs are across repeated runs of the same task. Higher means lower variance, fewer occasional hallucinations under identical inputs. Useful for production loops that need reproducible behaviour.
“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.
- 1Gemini 3 ProGoogle80.00100.0 / $1.25/M
- 2GPT-5.5OpenAI66.67100.0 / $1.50/M
- 3Claude Sonnet 4.5Anthropic33.33100.0 / $3.00/M
- 4Claude Sonnet 4.6Anthropic18.3555.0 / $3.00/M
- 5Claude Opus 4.6Anthropic6.67100.0 / $15.00/M
- 6Claude Opus 4.7Anthropic5.2678.9 / $15.00/M
- 7Claude Opus 4.5Anthropic2.7841.7 / $15.00/M
- 8GPT-5.4OpenAI0.000.0 / $1.50/M
AI Model Analyzer does not recommend specific vendors; rankings are derived from public data only.