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 | Kimi K2.7 Code Moonshot AI | Grok Build 0.1 xAI | Claude Sonnet 5 Anthropic |
|---|---|---|---|
| Input $/1M | $0.95CHEAPEST | $1.00+5% | $2.00+111% |
| Cached input $/1M | $0.19CHEAPEST | $0.20+5% | $0.20+5% |
| Output $/1M | $4.00+100% | $2.00CHEAPEST | $10.00+400% |
| Blended $/1M (3:1) | $1.71+37% | $1.25CHEAPEST | $4.00+220% |
| Context window | 262K−74% | 256K−74% | 1MLARGEST |
| Capabilities | REASONINGVISIONTOOL USEOPEN WEIGHTS | REASONINGVISIONTOOL USE | REASONINGVISIONTOOL 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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