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Claude Opus 4.1 vs Mistral Small 3.1 24B Base

Claude Opus 4.1 leads the LLM Stats Score 30.1 to 0.5. Mistral Small 3.1 24B Base is 200.0x cheaper per token.

Anthropic · Mistral AI · Updated for 2026

Which is better?

Claude Opus 4.1 leads the overall LLM Stats Score 30.1 to 0.5, ranking #110 overall.

In the 1 individual benchmarks reported for both models, Claude Opus 4.1 wins 1; this is a narrower head-to-head signal than the composite indexes.

On price, Mistral Small 3.1 24B Base is roughly 200.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Claude Opus 4.1 also accepts a larger context window (200,000 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 Opus 4.1

  • overall performance matters — it scores 30.1 and ranks #110 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you process long inputs — it offers a 200,000 token context window
  • you want the most recent training data — it shipped Aug 2025

Choose Mistral Small 3.1 24B Base

  • cost matters — it's about 200.0x cheaper per token
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Claude Opus 4.1
Anthropic
Mistral Small 3.1 24B Base
Mistral AI
Core performance indexes
LLM Stats Score
30.1
#110
0.5
#308
Reasoning
30.2
#106
0.7
#299
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
Input price
$15.00 / M
$0.10 / M
Output price
$75.00 / M
$0.30 / M
Context window
200,000
128,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Claude Opus 4.1
Mistral Small 3.1 24B Base
Math
22.4#130
5.0#268
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

8 reported for Claude Opus 4.1 · 5 for Mistral Small 3.1 24B Base

1 shared

Claude Opus 4.1 outperforms in 1 benchmarks (GPQA), while Mistral Small 3.1 24B Base is better at 0 benchmarks.

Claude Opus 4.1 significantly outperforms across most benchmarks.

Tue Sep 01 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Mistral Small 3.1 24B Base costs less

For input processing, Claude Opus 4.1 ($15.00/1M tokens) is 150.0x more expensive than Mistral Small 3.1 24B Base ($0.10/1M tokens).

For output processing, Claude Opus 4.1 ($75.00/1M tokens) is 250.0x more expensive than Mistral Small 3.1 24B Base ($0.30/1M tokens).

In conclusion, Claude Opus 4.1 is more expensive than Mistral Small 3.1 24B Base.*

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

Lowest available price from all providers
Tue Sep 01 2026 • llm-stats.com
Anthropic
Claude Opus 4.1
Input tokens$15.00
Output tokens$75.00
Best providerAnthropic
Mistral AI
Mistral Small 3.1 24B Base
Input tokens$0.10
Output tokens$0.30
Best providerMistral
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Claude Opus 4.1 accepts 200,000 input tokens compared to Mistral Small 3.1 24B Base's 128,000 tokens. Mistral Small 3.1 24B Base can generate longer responses up to 128,000 tokens, while Claude Opus 4.1 is limited to 32,000 tokens.

Anthropic
Claude Opus 4.1
Input200,000 tokens
Output32,000 tokens
Mistral AI
Mistral Small 3.1 24B Base
Input128,000 tokens
Output128,000 tokens
Tue Sep 01 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Claude Opus 4.1 and Mistral Small 3.1 24B Base support multimodal inputs.

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

Claude Opus 4.1

Text
Images
Audio
Video

Mistral Small 3.1 24B Base

Text
Images
Audio
Video

License

Usage and distribution terms

Claude Opus 4.1 is licensed under a proprietary license, while Mistral Small 3.1 24B Base uses Apache 2.0.

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

Claude Opus 4.1

Proprietary

Closed source

Mistral Small 3.1 24B Base

Apache 2.0

Open weights

Release Timeline

When each model was launched

Claude Opus 4.1 was released on 2025-08-05, while Mistral Small 3.1 24B Base was released on 2025-03-17.

Claude Opus 4.1 is 5 months newer than Mistral Small 3.1 24B Base.

Claude Opus 4.1

Aug 5, 2025

1.1 years ago

4mo newer
Mistral Small 3.1 24B Base

Mar 17, 2025

1.5 years ago

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 Opus 4.1 is available from Anthropic, Bedrock, Google. Mistral Small 3.1 24B Base is available from Mistral AI.

Claude Opus 4.1

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

Mistral Small 3.1 24B Base

mistral logo
Mistral
Input Price:Input: $0.10/1MOutput Price:Output: $0.30/1M
* 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 Opus 4.1 and Mistral Small 3.1 24B Base side-by-side, then vote on the output you prefer.

Claude Opus 4.1
✓ Preferred
Mistral Small 3.1 24B Base
Open in Playground

FAQ

Common questions about Claude Opus 4.1 vs Mistral Small 3.1 24B Base.

Which is better, Claude Opus 4.1 or Mistral Small 3.1 24B Base?

Claude Opus 4.1 leads the LLM Stats Score 30.1 to 0.5. Claude Opus 4.1 is made by Anthropic and Mistral Small 3.1 24B Base is made by Mistral AI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Claude Opus 4.1 compare to Mistral Small 3.1 24B Base in benchmarks?

Claude Opus 4.1 scores MMMLU: 89.5%, TAU-bench Retail: 82.4%, GPQA: 80.9%, AIME 2025: 78.0%, MMMU (validation): 77.1%. Mistral Small 3.1 24B Base scores MMLU: 81.0%, TriviaQA: 80.5%, MMMU: 59.3%, MMLU-Pro: 56.0%, GPQA: 37.5%.

Is Claude Opus 4.1 cheaper than Mistral Small 3.1 24B Base?

Mistral Small 3.1 24B Base is 150.0x cheaper for input tokens. Claude Opus 4.1 costs $15.00/M input and $75.00/M output via anthropic. Mistral Small 3.1 24B Base costs $0.10/M input and $0.30/M output via mistral.

What are the context window sizes for Claude Opus 4.1 and Mistral Small 3.1 24B Base?

Claude Opus 4.1 supports 200K tokens and Mistral Small 3.1 24B Base 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 4.1 and Mistral Small 3.1 24B Base?

Key differences include LLM Stats Score (30.1 vs 0.5), context window (200K vs 128K), input pricing ($15.00 vs $0.10/M), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Claude Opus 4.1 and Mistral Small 3.1 24B Base?

Claude Opus 4.1 is developed by Anthropic and Mistral Small 3.1 24B Base is developed by Mistral AI.

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