Claude Sonnet 4.6
AnthropicClaude Sonnet 4.6 by Anthropic costs $3/M input, $15/M output with 200K context window. Updated February 2026. Compare with GPT-5, Claude, Gemini & 40+ models.
Input Price
$3.00
per 1M tokens
Output Price
$15.00
per 1M tokens
Context Window
200K
tokens
Specifications
| Provider | Anthropic |
| Model ID | claude-sonnet-4-6 |
| Input Price | $3 / 1M tokens |
| Output Price | $15 / 1M tokens |
| Context Window | 200K tokens |
| Max Output | 64K tokens |
| Capabilities | textvisionfunction_callingstructured_output |
| Release Date | 2026-02 |
| Notes | 1M context in beta. 79.6% SWE-bench. Best value flagship. |
Monthly Cost Estimates
Estimated monthly costs based on different daily usage levels (assuming 50% input / 50% output split).
| Daily Tokens | Monthly Cost | Annual Cost |
|---|---|---|
| 10K | $2.70 | $32.40 |
| 50K | $13.50 | $162.00 |
| 100K | $27.00 | $324.00 |
| 500K | $135.00 | $1620.00 |
| 1.0M | $270.00 | $3240.00 |
About Claude Sonnet 4.6
Claude Sonnet 4.6 is a large language model by Anthropic. It features a 200K token context window with up to 64K tokens of output per request. The model supports 4 capabilities: text, vision, function_calling, structured_output.
At $3 per million input tokens and $15 per million output tokens, Claude Sonnet 4.6 is positioned as a mid-range option in the Anthropic lineup. Use our Token Counter to estimate how many tokens your prompts use, and our Pricing Calculator to compare costs across all models.
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FAQ
How much does Claude Sonnet 4.6 cost?
Claude Sonnet 4.6 costs $3 per million input tokens and $15 per million output tokens. For a typical workload of 100K tokens/day, expect approximately $31.50/month.
What is Claude Sonnet 4.6's context window?
Claude Sonnet 4.6 supports a context window of 200K tokens. This means your combined input prompt and output response can be up to 200K tokens. The maximum output per response is 64K tokens.
Is Claude Sonnet 4.6 good for my use case?
Claude Sonnet 4.6 supports text, vision, function_calling, structured_output. As a mid-range model, it balances capability and cost for most production use cases. Use our Pricing Calculator to compare with alternatives.