Model Comparison
Grok 4.5 vs Mistral Small 3.1 24B BaseWhich is better in 2026?
Grok 4.5 significantly outperforms across most benchmarks. Mistral Small 3.1 24B Base is 20.0x cheaper per token.
Verdict: Grok 4.5 vs Mistral Small 3.1 24B Base — which is better?
Grok 4.5 (by xAI) 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.
Grok 4.5 outperforms in 1 benchmarks (GPQA), while Mistral Small 3.1 24B Base is better at 0 benchmarks. Grok 4.5 significantly outperforms across most benchmarks.
On price, Mistral Small 3.1 24B Base is roughly 20.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Grok 4.5 also accepts a larger context window (500,000 input tokens), making it the stronger choice for long documents and large codebases.
Choose Grok 4.5 if…
- you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
- you process long inputs — it offers a 500,000 token context window
- you want the most recent training data — it shipped Jul 2026
Choose Mistral Small 3.1 24B Base if…
- cost matters — it's about 20.0x cheaper per token
- you need open weights you can self-host or fine-tune
Performance Benchmarks
Comparative analysis across standard metrics
Grok 4.5 outperforms in 1 benchmarks (GPQA), while Mistral Small 3.1 24B Base is better at 0 benchmarks.
Grok 4.5 significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Grok 4.5 ($2.00/1M tokens) is 20.0x more expensive than Mistral Small 3.1 24B Base ($0.10/1M tokens).
For output processing, Grok 4.5 ($6.00/1M tokens) is 20.0x more expensive than Mistral Small 3.1 24B Base ($0.30/1M tokens).
In conclusion, Grok 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
Grok 4.5 accepts 500,000 input tokens compared to Mistral Small 3.1 24B Base's 128,000 tokens. Only Mistral Small 3.1 24B Base specifies output context (128,000 tokens).
Input Capabilities
Supported data types and modalities
Both Grok 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.
Grok 4.5
Mistral Small 3.1 24B Base
License
Usage and distribution terms
Grok 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
Grok 4.5 was released on 2026-07-16, while Mistral Small 3.1 24B Base was released on 2025-03-17.
Grok 4.5 is 16 months newer than Mistral Small 3.1 24B Base.
Jul 16, 2026
3 days ago
1.3yr newerMar 17, 2025
1.3 years ago
Knowledge Cutoff
When training data ends
Grok 4.5 has a documented knowledge cutoff of 2026-02-01, while Mistral Small 3.1 24B Base's cutoff date is not specified.
We can confirm Grok 4.5's training data extends to 2026-02-01, but cannot make a direct comparison without Mistral Small 3.1 24B Base's cutoff date.
Feb 2026
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Provider Availability
Grok 4.5 is available from xAI. Mistral Small 3.1 24B Base is available from Mistral AI.
Grok 4.5
Mistral Small 3.1 24B Base
Outputs Comparison
Key Takeaways
Mistral Small 3.1 24B Base
View detailsMistral AI
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against Grok 4.5 and Mistral Small 3.1 24B Base side-by-side, then vote on the output you prefer.
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FAQ
Common questions about Grok 4.5 vs Mistral Small 3.1 24B Base.