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Claude 3.7 Sonnet vs Claude Opus 4.6

Claude Opus 4.6 significantly outperforms across most benchmarks. Claude 3.7 Sonnet is 1.7x cheaper per token.

Anthropic · Anthropic · Updated for 2026

Which is better?

Claude 3.7 Sonnet outperforms in 0 benchmarks, while Claude Opus 4.6 is better at 4 benchmarks (AIME 2025, GPQA, MMMLU, SWE-Bench Verified). Claude Opus 4.6 significantly outperforms across most benchmarks.

On price, Claude 3.7 Sonnet is roughly 1.7x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Claude Opus 4.6 also accepts a larger context window (1,000,000 input tokens), making it the stronger choice for long documents and large codebases.

Based on current benchmark, pricing, and model metadata for 2026.

Choose Claude 3.7 Sonnet

  • cost matters — it's about 1.7x cheaper per token

Choose Claude Opus 4.6

  • you want the strongest raw capability — it leads on 4 of 4 shared benchmarks
  • you process long inputs — it offers a 1,000,000 token context window
  • you want the most recent training data — it shipped Feb 2026

At a glance

The differences that matter most.

Benchmark wins
0 of 4
4 of 4
Input price
$3.00 / M
$5.00 / M
Output price
$15.00 / M
$25.00 / M
Context window
200,000
1,000,000
Released
Feb 2025
Feb 2026
License
Proprietary
Proprietary

Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

Claude 3.7 Sonnet outperforms in 0 benchmarks, while Claude Opus 4.6 is better at 4 benchmarks (AIME 2025, GPQA, MMMLU, SWE-Bench Verified).

Claude Opus 4.6 significantly outperforms across most benchmarks.

Tue Aug 25 2026 • llm-stats.com

Arena Performance

Playground indexes and blind preference scores

Pricing Analysis

Price comparison per million tokens

Claude 3.7 Sonnet costs less

For input processing, Claude 3.7 Sonnet ($3.00/1M tokens) is 1.7x cheaper than Claude Opus 4.6 ($5.00/1M tokens).

For output processing, Claude 3.7 Sonnet ($15.00/1M tokens) is 1.7x cheaper than Claude Opus 4.6 ($25.00/1M tokens).

In conclusion, Claude Opus 4.6 is more expensive than Claude 3.7 Sonnet.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Tue Aug 25 2026 • llm-stats.com
Anthropic
Claude 3.7 Sonnet
Input tokens$3.00
Output tokens$15.00
Best providerAnthropic
Anthropic
Claude Opus 4.6
Input tokens$5.00
Output tokens$25.00
Best providerAnthropic
Notice missing or incorrect data?Start an Issue

Context Window

Maximum input and output token capacity

Claude Opus 4.6 accepts 1,000,000 input tokens compared to Claude 3.7 Sonnet's 200,000 tokens. Both models can generate responses up to 128,000 tokens.

Anthropic
Claude 3.7 Sonnet
Input200,000 tokens
Output128,000 tokens
Anthropic
Claude Opus 4.6
Input1,000,000 tokens
Output128,000 tokens
Tue Aug 25 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Claude 3.7 Sonnet and Claude Opus 4.6 support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Claude 3.7 Sonnet

Text
Images
Audio
Video

Claude Opus 4.6

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under proprietary licenses.

Both models have usage restrictions defined by their respective organizations.

Claude 3.7 Sonnet

Proprietary

Closed source

Claude Opus 4.6

Proprietary

Closed source

Release Timeline

When each model was launched

Claude 3.7 Sonnet was released on 2025-02-24, while Claude Opus 4.6 was released on 2026-02-05.

Claude Opus 4.6 is 12 months newer than Claude 3.7 Sonnet.

Claude 3.7 Sonnet

Feb 24, 2025

1.5 years ago

Claude Opus 4.6

Feb 5, 2026

6 months ago

11mo newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

Claude 3.7 Sonnet is available from Anthropic, Bedrock, Google. Claude Opus 4.6 is available from Anthropic.

Claude 3.7 Sonnet

anthropic logo
Anthropic
Input Price:Input: $3.00/1MOutput Price:Output: $15.00/1M
bedrock logo
AWS Bedrock
Input Price:Input: $3.00/1MOutput Price:Output: $15.00/1M
google logo
Google
Input Price:Input: $3.00/1MOutput Price:Output: $15.00/1M

Claude Opus 4.6

anthropic logo
Anthropic
Input Price:Input: $5.00/1MOutput Price:Output: $25.00/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against Claude 3.7 Sonnet and Claude Opus 4.6 side-by-side, then vote on the output you prefer.

Claude 3.7 Sonnet
✓ Preferred
Claude Opus 4.6
Open in Playground

FAQ

Common questions about Claude 3.7 Sonnet vs Claude Opus 4.6.

Which is better, Claude 3.7 Sonnet or Claude Opus 4.6?

Claude Opus 4.6 significantly outperforms across most benchmarks. Claude 3.7 Sonnet is made by Anthropic and Claude Opus 4.6 is made by Anthropic. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Claude 3.7 Sonnet compare to Claude Opus 4.6 in benchmarks?

Claude 3.7 Sonnet scores MATH-500: 96.2%, IFEval: 93.2%, MMMLU: 86.1%, GPQA: 84.8%, TAU-bench Retail: 81.2%. Claude Opus 4.6 scores Vending-Bench 2: 100.0%, AIME 2025: 99.8%, Tau2 Telecom: 99.3%, Graphwalks parents >128k: 95.4%, Tau2 Retail: 91.9%.

Is Claude 3.7 Sonnet cheaper than Claude Opus 4.6?

Claude 3.7 Sonnet is 1.7x cheaper for input tokens. Claude 3.7 Sonnet costs $3.00/M input and $15.00/M output via anthropic. Claude Opus 4.6 costs $5.00/M input and $25.00/M output via anthropic.

What are the context window sizes for Claude 3.7 Sonnet and Claude Opus 4.6?

Claude 3.7 Sonnet supports 200K tokens and Claude Opus 4.6 supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Claude 3.7 Sonnet and Claude Opus 4.6?

Key differences include context window (200K vs 1.0M), input pricing ($3.00 vs $5.00/M). See the full comparison above for benchmark-by-benchmark results.