Pick two or three models and see exactly how far apart they are — price per million tokens, context window, and what each one can actually do.
| METRIC | GPT-6 Sol OpenAI | Claude Opus 5.5 Anthropic | Gemini 3.1 Pro Google |
|---|---|---|---|
| Input $/1M | $2.00CHEAPEST | $4.00+100% | $2.00CHEAPEST |
| Cached input $/1M | $0.20CHEAPEST | $0.20CHEAPEST | $0.20CHEAPEST |
| Output $/1M | $10.00CHEAPEST | $20.00+100% | $12.00+20% |
| Blended $/1M (3:1) | $4.00CHEAPEST | $8.00+100% | $4.50+13% |
| Context window | 1.05MLARGEST | 1M−5% | 1.05M−0% |
| Capabilities | REASONINGVISIONTOOL USE | REASONINGVISIONTOOL USE | REASONINGVISIONAUDIO INPUTVIDEO INPUTTOOL USE |
Percentages are relative to the “best” value in each row — cheapest price, largest context. Blended assumes a typical 3:1 input-to-output token ratio.
ReqKey gives every API key a credit balance — validate, deduct, enforce limits, and see per-consumer spend in real time.
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