Claude Sonnet 4.6 vs Claude Opus 4.7Benchmark Comparison 2026

Objective comparison based on public benchmarks updated weekly: Intelligence Index, GPQA Diamond, Chatbot Arena ELO, pricing and speed.

Anthropic

Claude Sonnet 4.6

Intelligence Index

44.4

Coding Index

46.4

3 criteria won

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Anthropic

Claude Opus 4.7

Intelligence Index

57.3

Coding Index

53.1

3 criteria won

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Detailed Comparison

CritérioClaude Sonnet 4.6Claude Opus 4.7
Chatbot Arena ELO
Intelligence Index (AA)44.457.3
Coding Index (AA)46.453.1
GPQA Diamond80.0%91.0%
Input price ($/1M tok)$3.75$6.25
Output price ($/1M tok)$15.00$25.00
Context window1.0M tokens1.0M tokens
Speed (tokens/s)54 tok/s49 tok/s

✓ = winner in this criterion • Source: Artificial Analysis, LMArena, official APIs • Updated weekly

Technical Specifications

Claude Sonnet 4.6

Company
Anthropic
Context window
1.0M tokens
Input ($/1M tok)
$3.75
Output ($/1M tok)
$15.00
Speed
54 tok/s
Release
Feb 2026
Multimodal
Yes
Open Source
No
Official website
Visit

Claude Opus 4.7

Company
Anthropic
Context window
1.0M tokens
Input ($/1M tok)
$6.25
Output ($/1M tok)
$25.00
Speed
49 tok/s
Release
Apr 2026
Multimodal
Yes
Open Source
No
Official website
Visit

When to use Claude Sonnet 4.6 vs Claude Opus 4.7?

Choosing between Claude Sonnet 4.6 and Claude Opus 4.7 depends on your use case, budget and technical requirements. Below, a practical guide based on benchmark data and each model's specifications.

Use Claude Sonnet 4.6 when:

Anthropic · Multimodal

  • Complex reasoning, math and advanced programming — reasoning models are optimized for problems requiring multiple logical steps
  • Processing images, PDFs and visual documents alongside text — useful for analyzing contracts, reports with charts and mixed content
  • Long document analysis — 1.0M tokens context window allows processing books, legal databases and extensive logs
  • AI agents with tool calling — workflow automation, external API integration and data pipelines
  • API integration in SaaS applications — direct API access with documented SLA
View full Claude Sonnet 4.6 profile

Use Claude Opus 4.7 when:

Anthropic · Multimodal

  • Complex reasoning, math and advanced programming — reasoning models are optimized for problems requiring multiple logical steps
  • Processing images, PDFs and visual documents alongside text — useful for analyzing contracts, reports with charts and mixed content
  • Long document analysis — 1.0M tokens context window allows processing books, legal databases and extensive logs
  • AI agents with tool calling — workflow automation, external API integration and data pipelines
  • API integration in SaaS applications — direct API access with documented SLA
View full Claude Opus 4.7 profile

Frequently Asked Questions

Claude Sonnet 4.6 or Claude Opus 4.7: which is better?

Claude Sonnet 4.6 and Claude Opus 4.7 are evenly matched in this comparison. Choose based on the criterion most important for your project.

Where does this benchmark data come from?

Data is aggregated from Artificial Analysis (Intelligence Index, Coding Index) and Chatbot Arena/LMArena (ELO). Pricing and specs come from official APIs. Updated weekly.

What is the Intelligence Index?

The Intelligence Index is an aggregate score from Artificial Analysis that combines multiple academic benchmarks (MMLU, GPQA, LiveBench, etc.) into a single rating. The higher the score, the more capable the model is at reasoning tasks.

Is Claude Sonnet 4.6 cheaper than Claude Opus 4.7?

Yes. Claude Sonnet 4.6 costs $3.75/1M input tokens, while Claude Opus 4.7 costs $6.25/1M tokens — 67% more expensive. For high-volume projects, Claude Sonnet 4.6 represents significant savings. Total cost also depends on output pricing and your application's usage pattern.

Claude Sonnet 4.6 or Claude Opus 4.7: which has a larger context window?

Claude Sonnet 4.6 and Claude Opus 4.7 have the same context window: 1.0M tokens. For this criterion, the choice should be based on other factors like pricing and quality for your specific use case.

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Claude Sonnet 4.6 vs Claude Opus 4.7: Benchmark Comparison 2026 | SWEN.AI