Enter your usage once and see what it costs per month on every current Claude model, with GPT-5.6 and Gemini rows for comparison. Prices come from the vendors' own docs, verified July 2026.
| Model | Cost per request | Cost per month |
|---|---|---|
Claude Haiku 4.5 | $0.00450 | $45.00 |
Claude Sonnet 5 Introductory pricing through Aug 31, 2026; $3 input / $15 output per MTok from Sep 1, 2026. | $0.00900 | $90.00 |
Claude Sonnet 4.6 | $0.0135 | $135.00 |
Claude Sonnet 4.5 | $0.0135 | $135.00 |
Claude Opus 4.8 | $0.0225 | $225.00 |
Claude Opus 4.7 | $0.0225 | $225.00 |
Claude Opus 4.6 | $0.0225 | $225.00 |
Claude Opus 4.5 | $0.0225 | $225.00 |
Claude Fable 5 | $0.0450 | $450.00 |
Claude Opus 4.1 Retires Aug 5, 2026. Migrate to Opus 4.8. | $0.0675 | $675.00 |
| For comparison | ||
GPT-5.6 Sol OpenAI | $0.0250 | $250.00 |
GPT-5.6 Terra OpenAI | $0.0125 | $125.00 |
Gemini 2.5 Pro Google Prompts over 200K tokens bill at $2.50 input / $15 output per MTok. | $0.00750 | $75.00 |
Gemini 2.5 Flash Google Text input; audio input bills at $1 per MTok. | $0.00185 | $18.50 |
DeepSeek V4 Flash DeepSeek Cache-miss input; cache-hit input is $0.0028 per MTok. | $0.00042 | $4.20 |
DeepSeek V4 Pro DeepSeek Cache-miss input; cache-hit input is $0.003625 per MTok. | $0.00130 | $13.05 |
GLM-5.2 Zhipu Zhipu's Z.ai international API pricing (already quoted in USD). | $0.00500 | $50.00 |
Grok 4.5 xAI | $0.00700 | $70.00 |
Straight from the vendors' own documentation: Anthropic's pricing page for Claude, OpenAI's pricing page for GPT, and Google's Gemini API pricing page. Last verified July 12, 2026.
No. These are the standard per-token API rates. Prompt caching and batch processing can reduce real costs substantially; check each vendor's pricing page for those rates.
Input tokens are everything you send the model: the system prompt, conversation history, and documents. Output tokens are what the model writes back. Output tokens usually cost around five times more, so long answers dominate the bill faster than long prompts.
Opus 4.7 and later use a new tokenizer that produces roughly 30% more tokens for the same text. Even at an identical per-token price, a document costs more to process on a new-tokenizer model than the raw rate suggests.
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