The price of a token
Nearly the whole market prices output between 5× and 6× input, across 4 models from 1 labs. Distance along a ray is price class; distance off it is a pricing decision, not a cost difference.
API list prices for frontier models, in USD per million tokens — standard tier, text, base context. Each number is verified against the lab’s official pricing page (date shown); the daily series is in the free API. More labs get added as they’re verified — never before.
Anthropic
OpenAIThe dashed rays are constant output÷input ratios. Distance along a ray is price class; distance off it is pricing strategy.
Google
- gemini-3.1-pro-previewIn $2.00Out $12.006.0× out÷inblended 3:1 $4.50verified 2026-08-10
- gemini-3.5-flashIn $1.50Out $9.006.0× out÷inblended 3:1 $3.38verified 2026-08-10
- gemini-3.6-flashIn $1.50Out $7.505.0× out÷inblended 3:1 $3.00verified 2026-08-10
- gemini-3.5-flash-liteIn $0.30Out $2.508.3× out÷inblended 3:1 $0.85verified 2026-08-10
| Model | Input $/MTok | Output $/MTok | Out÷In | Blended 3:1 | Verified |
|---|---|---|---|---|---|
| gemini-3.1-pro-preview | $2.00 | $12.00 | 6.0× | $4.50 | 2026-08-10 |
| gemini-3.5-flash | $1.50 | $9.00 | 6.0× | $3.38 | 2026-08-10 |
| gemini-3.6-flash | $1.50 | $7.50 | 5.0× | $3.00 | 2026-08-10 |
| gemini-3.5-flash-lite | $0.30 | $2.50 | 8.3× | $0.85 | 2026-08-10 |
Last snapshot: 2026-09-20 06:17 UTC · List prices, not negotiated rates; cached-input, batch, and long-context tiers vary by lab and are noted where they differ. Same rule as the GPU side: a missing number beats a wrong one.