Model Comparison

Claude 3 Opus vs Claude 3.7 SonnetWhich is better in 2026?

Claude 3.7 Sonnet significantly outperforms across most benchmarks. Claude 3.7 Sonnet is 5.0x cheaper per token.

Verdict: Claude 3 Opus vs Claude 3.7 Sonnet — which is better?

Claude 3 Opus (by Anthropic) and Claude 3.7 Sonnet (by Anthropic) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Claude 3 Opus outperforms in 0 benchmarks, while Claude 3.7 Sonnet is better at 1 benchmark (GPQA). Claude 3.7 Sonnet significantly outperforms across most benchmarks.

On price, Claude 3.7 Sonnet is roughly 5.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Choose Claude 3 Opus if…

  • you want predictable pricing at $15.00/M input and $75.00/M output

Choose Claude 3.7 Sonnet if…

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
  • cost matters — it's about 5.0x cheaper per token
  • you want the most recent training data — it shipped Feb 2025
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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Claude 3 Opus outperforms in 0 benchmarks, while Claude 3.7 Sonnet is better at 1 benchmark (GPQA).

Claude 3.7 Sonnet significantly outperforms across most benchmarks.

Sat Jun 13 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Claude 3.7 Sonnet costs less

For input processing, Claude 3 Opus ($15.00/1M tokens) is 5.0x more expensive than Claude 3.7 Sonnet ($3.00/1M tokens).

For output processing, Claude 3 Opus ($75.00/1M tokens) is 5.0x more expensive than Claude 3.7 Sonnet ($15.00/1M tokens).

In conclusion, Claude 3 Opus is more expensive than Claude 3.7 Sonnet.*

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

Lowest available price from all providers
Sat Jun 13 2026 • llm-stats.com
Anthropic
Claude 3 Opus
Input tokens$15.00
Output tokens$75.00
Best providerAnthropic
Anthropic
Claude 3.7 Sonnet
Input tokens$3.00
Output tokens$15.00
Best providerAnthropic
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Both models have the same input context window of 200,000 tokens. Claude 3 Opus can generate longer responses up to 200,000 tokens, while Claude 3.7 Sonnet is limited to 128,000 tokens.

Anthropic
Claude 3 Opus
Input200,000 tokens
Output200,000 tokens
Anthropic
Claude 3.7 Sonnet
Input200,000 tokens
Output128,000 tokens
Sat Jun 13 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Claude 3 Opus and Claude 3.7 Sonnet support multimodal inputs.

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

Claude 3 Opus

Text
Images
Audio
Video

Claude 3.7 Sonnet

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 Opus

Proprietary

Closed source

Claude 3.7 Sonnet

Proprietary

Closed source

Release Timeline

When each model was launched

Claude 3 Opus was released on 2024-02-29, while Claude 3.7 Sonnet was released on 2025-02-24.

Claude 3.7 Sonnet is 12 months newer than Claude 3 Opus.

Claude 3 Opus

Feb 29, 2024

2.3 years ago

Claude 3.7 Sonnet

Feb 24, 2025

1.3 years ago

12mo 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 Opus is available from Anthropic, Bedrock, Google. Claude 3.7 Sonnet is available from Anthropic, Bedrock, Google.

Claude 3 Opus

anthropic logo
Anthropic
Input Price:Input: $15.00/1MOutput Price:Output: $75.00/1M
bedrock logo
AWS Bedrock
Input Price:Input: $15.00/1MOutput Price:Output: $75.00/1M
google logo
Google
Input Price:Input: $15.00/1MOutput Price:Output: $75.00/1M

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
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Anthropic

No standout differentiators in the data we have for this pair.

Anthropic
Less expensive input tokens
Less expensive output tokens
Higher GPQA score (84.8% vs 50.4%)
AnthropicClaude 3 Opus
AnthropicClaude 3.7 Sonnet
Compare in Playground

Detailed Comparison

AI Model Comparison Table
Feature
Anthropic
Claude 3 Opus
Anthropic
Claude 3.7 Sonnet

FAQ

Common questions about Claude 3 Opus vs Claude 3.7 Sonnet.

Which is better, Claude 3 Opus or Claude 3.7 Sonnet?

Claude 3.7 Sonnet significantly outperforms across most benchmarks. Claude 3 Opus is made by Anthropic and Claude 3.7 Sonnet is made by Anthropic. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Claude 3 Opus compare to Claude 3.7 Sonnet in benchmarks?

Claude 3 Opus scores ARC-C: 96.4%, HellaSwag: 95.4%, GSM8k: 95.0%, MGSM: 90.7%, BIG-Bench Hard: 86.8%. Claude 3.7 Sonnet scores MATH-500: 96.2%, IFEval: 93.2%, MMMLU: 86.1%, GPQA: 84.8%, TAU-bench Retail: 81.2%.

Is Claude 3 Opus cheaper than Claude 3.7 Sonnet?

Claude 3.7 Sonnet is 5.0x cheaper for input tokens. Claude 3 Opus costs $15.00/M input and $75.00/M output via anthropic. Claude 3.7 Sonnet costs $3.00/M input and $15.00/M output via anthropic.

What are the context window sizes for Claude 3 Opus and Claude 3.7 Sonnet?

Claude 3 Opus supports 200K tokens and Claude 3.7 Sonnet supports 200K 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 Opus and Claude 3.7 Sonnet?

Key differences include input pricing ($15.00 vs $3.00/M). See the full comparison above for benchmark-by-benchmark results.

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