Model Comparison

Claude Opus 4.5 vs Pixtral LargeWhich is better in 2026?

Comparing Claude Opus 4.5 and Pixtral Large across benchmarks, pricing, and capabilities.

Verdict: Claude Opus 4.5 vs Pixtral Large — which is better?

Claude Opus 4.5 (by Anthropic) and Pixtral Large (by Mistral AI) 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.

On price, Pixtral Large is roughly 3.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Claude Opus 4.5 also accepts a larger context window (200,000 input tokens), making it the stronger choice for long documents and large codebases.

Choose Claude Opus 4.5 if…

  • you process long inputs — it offers a 200,000 token context window
  • you want the most recent training data — it shipped Nov 2025

Choose Pixtral Large if…

  • cost matters — it's about 3.3x cheaper per token
  • you need open weights you can self-host or fine-tune
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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Claude Opus 4.5 and Pixtral Large don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Pixtral Large costs less

For input processing, Claude Opus 4.5 ($5.00/1M tokens) is 2.5x more expensive than Pixtral Large ($2.00/1M tokens).

For output processing, Claude Opus 4.5 ($25.00/1M tokens) is 4.2x more expensive than Pixtral Large ($6.00/1M tokens).

In conclusion, Claude Opus 4.5 is more expensive than Pixtral Large.*

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

Lowest available price from all providers
Sat Jun 06 2026 • llm-stats.com
Anthropic
Claude Opus 4.5
Input tokens$5.00
Output tokens$25.00
Best providerAnthropic
Mistral AI
Pixtral Large
Input tokens$2.00
Output tokens$6.00
Best providerMistral
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Claude Opus 4.5 accepts 200,000 input tokens compared to Pixtral Large's 128,000 tokens. Pixtral Large can generate longer responses up to 128,000 tokens, while Claude Opus 4.5 is limited to 64,000 tokens.

Anthropic
Claude Opus 4.5
Input200,000 tokens
Output64,000 tokens
Mistral AI
Pixtral Large
Input128,000 tokens
Output128,000 tokens
Sat Jun 06 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Claude Opus 4.5 and Pixtral Large support multimodal inputs.

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

Claude Opus 4.5

Text
Images
Audio
Video

Pixtral Large

Text
Images
Audio
Video

License

Usage and distribution terms

Claude Opus 4.5 is licensed under a proprietary license, while Pixtral Large uses Mistral Research License (MRL) for research; Mistral Commercial License for commercial use.

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

Claude Opus 4.5

Proprietary

Closed source

Pixtral Large

Mistral Research License (MRL) for research; Mistral Commercial License for commercial use

Open weights

Release Timeline

When each model was launched

Claude Opus 4.5 was released on 2025-11-24, while Pixtral Large was released on 2024-11-18.

Claude Opus 4.5 is 12 months newer than Pixtral Large.

Claude Opus 4.5

Nov 24, 2025

6 months ago

1.0yr newer
Pixtral Large

Nov 18, 2024

1.5 years ago

Knowledge Cutoff

When training data ends

Claude Opus 4.5 has a documented knowledge cutoff of 2025-03-31, while Pixtral Large's cutoff date is not specified.

We can confirm Claude Opus 4.5's training data extends to 2025-03-31, but cannot make a direct comparison without Pixtral Large's cutoff date.

Claude Opus 4.5

Mar 2025

Pixtral Large

—

Provider Availability

Claude Opus 4.5 is available from Anthropic. Pixtral Large is available from Mistral AI.

Claude Opus 4.5

anthropic logo
Anthropic
Input Price:Input: $5.00/1MOutput Price:Output: $25.00/1M

Pixtral Large

mistral logo
Mistral
Input Price:Input: $2.00/1MOutput Price:Output: $6.00/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Anthropic
Larger context window (200,000 tokens)
Mistral AI
Less expensive input tokens
Less expensive output tokens
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
Anthropic
Claude Opus 4.5
Mistral AI
Pixtral Large

FAQ

Common questions about Claude Opus 4.5 vs Pixtral Large.

Which is better, Claude Opus 4.5 or Pixtral Large?

Claude Opus 4.5 (Anthropic) and Pixtral Large (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 Opus 4.5 compare to Pixtral Large in benchmarks?

Claude Opus 4.5 scores Tau2 Telecom: 98.2%, MMMLU: 90.8%, Tau2 Retail: 88.9%, GPQA: 87.0%, SWE-Bench Verified: 80.9%. Pixtral Large scores AI2D: 93.8%, DocVQA: 93.3%, ChartQA: 88.1%, VQAv2: 80.9%, MM-MT-Bench: 74.0%.

Is Claude Opus 4.5 cheaper than Pixtral Large?

Pixtral Large is 2.5x cheaper for input tokens. Claude Opus 4.5 costs $5.00/M input and $25.00/M output via anthropic. Pixtral Large costs $2.00/M input and $6.00/M output via mistral.

What are the context window sizes for Claude Opus 4.5 and Pixtral Large?

Claude Opus 4.5 supports 200K tokens and Pixtral Large supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Claude Opus 4.5 and Pixtral Large?

Key differences include context window (200K vs 128K), input pricing ($5.00 vs $2.00/M), licensing (Proprietary vs Mistral Research License (MRL) for research; Mistral Commercial License for commercial use). See the full comparison above for benchmark-by-benchmark results.

Who makes Claude Opus 4.5 and Pixtral Large?

Claude Opus 4.5 is developed by Anthropic and Pixtral Large is developed by Mistral AI.

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