Model Comparison
Claude Haiku 4.5 vs Mistral Small 3.1 24B BaseWhich is better in 2026?
Claude Haiku 4.5 significantly outperforms across most benchmarks. Mistral Small 3.1 24B Base is 13.3x cheaper per token.
Verdict: Claude Haiku 4.5 vs Mistral Small 3.1 24B Base — which is better?
Claude Haiku 4.5 (by Anthropic) and Mistral Small 3.1 24B Base (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.
Claude Haiku 4.5 outperforms in 1 benchmarks (GPQA), while Mistral Small 3.1 24B Base is better at 0 benchmarks. Claude Haiku 4.5 significantly outperforms across most benchmarks.
On price, Mistral Small 3.1 24B Base is roughly 13.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Claude Haiku 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 Haiku 4.5 if…
- you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
- you process long inputs — it offers a 200,000 token context window
- you want the most recent training data — it shipped Oct 2025
Choose Mistral Small 3.1 24B Base if…
- cost matters — it's about 13.3x cheaper per token
- you need open weights you can self-host or fine-tune
Performance Benchmarks
Comparative analysis across standard metrics
Claude Haiku 4.5 outperforms in 1 benchmarks (GPQA), while Mistral Small 3.1 24B Base is better at 0 benchmarks.
Claude Haiku 4.5 significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Claude Haiku 4.5 ($1.00/1M tokens) is 10.0x more expensive than Mistral Small 3.1 24B Base ($0.10/1M tokens).
For output processing, Claude Haiku 4.5 ($5.00/1M tokens) is 16.7x more expensive than Mistral Small 3.1 24B Base ($0.30/1M tokens).
In conclusion, Claude Haiku 4.5 is more expensive than Mistral Small 3.1 24B Base.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Claude Haiku 4.5 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 Haiku 4.5 is limited to 64,000 tokens.
Input Capabilities
Supported data types and modalities
Both Claude Haiku 4.5 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 Haiku 4.5
Mistral Small 3.1 24B Base
License
Usage and distribution terms
Claude Haiku 4.5 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.
Proprietary
Closed source
Apache 2.0
Open weights
Release Timeline
When each model was launched
Claude Haiku 4.5 was released on 2025-10-15, while Mistral Small 3.1 24B Base was released on 2025-03-17.
Claude Haiku 4.5 is 7 months newer than Mistral Small 3.1 24B Base.
Oct 15, 2025
8 months ago
7mo newerMar 17, 2025
1.3 years ago
Knowledge Cutoff
When training data ends
Claude Haiku 4.5 has a documented knowledge cutoff of 2025-02-01, while Mistral Small 3.1 24B Base's cutoff date is not specified.
We can confirm Claude Haiku 4.5's training data extends to 2025-02-01, but cannot make a direct comparison without Mistral Small 3.1 24B Base's cutoff date.
Feb 2025
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Provider Availability
Claude Haiku 4.5 is available from Anthropic, Vertex AI. Mistral Small 3.1 24B Base is available from Mistral AI.
Claude Haiku 4.5
Mistral Small 3.1 24B Base
Outputs Comparison
Key Takeaways
Claude Haiku 4.5
View detailsAnthropic
Mistral Small 3.1 24B Base
View detailsMistral AI
Detailed Comparison
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FAQ
Common questions about Claude Haiku 4.5 vs Mistral Small 3.1 24B Base.