Which is cheaper for input tokens: Anthropic: Claude 3.7 Sonnet (thinking) or Anthropic: Claude 3.7 Sonnet?
Anthropic: Claude 3.7 Sonnet (thinking) is cheaper or equal on input token cost by $0.00 per 1M tokens.
Head-to-Head Pricing Benchmark
Side-by-side pricing and context window comparison for production model selection.
Default Recommendation (120M input + 60M output)
Anthropic: Claude 3.7 Sonnet (thinking) is lower-cost for the default monthly workload scenario.
Adjust the workload in the calculator below to see a live recommendation for your usage.
| Metric | Anthropic: Claude 3.7 Sonnet (thinking) | Anthropic: Claude 3.7 Sonnet |
|---|---|---|
| Developer | anthropic | anthropic |
| Context Window | 200,000 | 200,000 |
| Input Cost / 1M Tokens | $3.00 | $3.00 |
| Output Cost / 1M Tokens | $15.00 | $15.00 |
| Projected Monthly Cost | $1,260 | $1,260 |
| Vision | ✅ Yes | ✅ Yes |
| Tool Calling | ✅ Yes | ✅ Yes |
| Structured Output | ❌ No | ❌ No |
| Reasoning | ✅ Yes | ✅ Yes |
| MMLU Score | 87.5 | N/A |
| GPQA | 83.4 | N/A |
Price History
Current Input / 1M
$3.00
Current Output / 1M
$15.00
Price History
Current Input / 1M
$3.00
Current Output / 1M
$15.00
Adjust your workload to see projected monthly costs.
Anthropic: Claude 3.7 Sonnet (thinking)
$1,260
per month
Lower costAnthropic: Claude 3.7 Sonnet
$1,260
per month
Live Recommendation
Anthropic: Claude 3.7 Sonnet (thinking) is lower-cost at 120M input + 60M output tokens/month.
Continue evaluation with more “A vs B pricing” decision pages.
Quick Compare
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Common questions for Anthropic: Claude 3.7 Sonnet (thinking) vs Anthropic: Claude 3.7 Sonnet pricing decisions.
Anthropic: Claude 3.7 Sonnet (thinking) is cheaper or equal on input token cost by $0.00 per 1M tokens.
Anthropic: Claude 3.7 Sonnet (thinking) is cheaper or equal on output token cost by $0.00 per 1M tokens.
$0.00 difference for the default scenario (120M input + 60M output tokens/month).
Use this page to compare context window and token pricing, then open each model page to evaluate additional alternatives and monthly workload fit.