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Claude Sonnet 5.5 vs Mistral Small

Comparing Claude Sonnet 5.5 and Mistral Small across benchmarks, pricing, and capabilities.

Anthropic · Mistral AI · Updated for 2026

Which is better?

Claude Sonnet 5.5 and Mistral Small trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

On price, Mistral Small is roughly 13.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Claude Sonnet 5.5 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 LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Claude Sonnet 5.5

  • you process long inputs — it offers a 1,000,000 token context window
  • you want the most recent training data — it shipped Sep 2026

Choose Mistral Small

  • cost matters — it's about 13.3x cheaper per token
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Benchmark wins
—
—
Input price
$2.00 / M
$0.20 / M
Output price
$10.00 / M
$0.60 / M
Context window
1,000,000
32,768

Individual benchmarks

47 reported for Claude Sonnet 5.5 · 0 for Mistral Small

No common benchmarks found

Claude Sonnet 5.5 and Mistral Smalldon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Mistral Small costs less

For input processing, Claude Sonnet 5.5 ($2.00/1M tokens) is 10.0x more expensive than Mistral Small ($0.20/1M tokens).

For output processing, Claude Sonnet 5.5 ($10.00/1M tokens) is 16.7x more expensive than Mistral Small ($0.60/1M tokens).

In conclusion, Claude Sonnet 5.5 is more expensive than Mistral Small.*

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

Lowest available price from all providers
Thu Oct 01 2026 • llm-stats.com
Anthropic
Claude Sonnet 5.5
Input tokens$2.00
Output tokens$10.00
Best providerAnthropic
Mistral AI
Mistral Small
Input tokens$0.20
Output tokens$0.60
Best providerMistral
Notice missing or incorrect data?

Context Window

Maximum input and output token capacity

Claude Sonnet 5.5 accepts 1,000,000 input tokens compared to Mistral Small's 32,768 tokens. Claude Sonnet 5.5 can generate longer responses up to 128,000 tokens, while Mistral Small is limited to 32,768 tokens.

Anthropic
Claude Sonnet 5.5
Input1,000,000 tokens
Output128,000 tokens
Mistral AI
Mistral Small
Input32,768 tokens
Output32,768 tokens
Thu Oct 01 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Claude Sonnet 5.5 supports multimodal inputs, whereas Mistral Small does not.

Claude Sonnet 5.5 can handle both text and other forms of data like images, making it suitable for multimodal applications.

Claude Sonnet 5.5

Text
Images
Audio
Video

Mistral Small

Text
Images
Audio
Video

License

Usage and distribution terms

Claude Sonnet 5.5 is licensed under a proprietary license, while Mistral Small uses Mistral Research License.

License differences may affect how you can use these models in commercial or open-source projects.

Claude Sonnet 5.5

Proprietary

Closed source

Mistral Small

Mistral Research License

Open weights

Release Timeline

When each model was launched

Claude Sonnet 5.5 was released on 2026-09-28, while Mistral Small was released on 2024-09-17.

Claude Sonnet 5.5 is 25 months newer than Mistral Small.

Claude Sonnet 5.5

Sep 28, 2026

3 days ago

2.0yr newer
Mistral Small

Sep 17, 2024

2.0 years ago

Knowledge Cutoff

When training data ends

Claude Sonnet 5.5 has a documented knowledge cutoff of 2026-06-01, while Mistral Small's cutoff date is not specified.

We can confirm Claude Sonnet 5.5's training data extends to 2026-06-01, but cannot make a direct comparison without Mistral Small's cutoff date.

Claude Sonnet 5.5

Jun 2026

Mistral Small

—

Provider Availability

Claude Sonnet 5.5 is available from Anthropic. Mistral Small is available from Mistral AI.

Claude Sonnet 5.5

anthropic logo
Anthropic
Input Price:Input: $2.00/1MOutput Price:Output: $10.00/1M

Mistral Small

mistral logo
Mistral
Input Price:Input: $0.20/1MOutput Price:Output: $0.60/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Claude Sonnet 5.5 and Mistral Small side-by-side, then vote on the output you prefer.

Claude Sonnet 5.5
✓ Preferred
Mistral Small
Open in Playground

FAQ

Common questions about Claude Sonnet 5.5 vs Mistral Small.

Which is better, Claude Sonnet 5.5 or Mistral Small?

Claude Sonnet 5.5 (Anthropic) and Mistral Small (Mistral AI) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Claude Sonnet 5.5 compare to Mistral Small in benchmarks?

Claude Sonnet 5.5 scores BenchCAD (with Python tool): 96.3%, ArXivMath (with tools): 95.2%, Global-MMLU: 92.1%, MILU: 91.6%, SWE-bench Multilingual: 90.3%.

Is Claude Sonnet 5.5 cheaper than Mistral Small?

Mistral Small is 10.0x cheaper for input tokens. Claude Sonnet 5.5 costs $2.00/M input and $10.00/M output via anthropic. Mistral Small costs $0.20/M input and $0.60/M output via mistral.

What are the context window sizes for Claude Sonnet 5.5 and Mistral Small?

Claude Sonnet 5.5 supports 1.0M tokens and Mistral Small supports 33K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Claude Sonnet 5.5 and Mistral Small?

Key differences include context window (1.0M vs 33K), input pricing ($2.00 vs $0.20/M), multimodal support (yes vs no), licensing (Proprietary vs Mistral Research License). See the full comparison above for benchmark-by-benchmark results.

Who makes Claude Sonnet 5.5 and Mistral Small?

Claude Sonnet 5.5 is developed by Anthropic and Mistral Small is developed by Mistral AI.