Model Comparison
Gemini 3 Flash vs Mistral Small 3.1 24B BaseWhich is better in 2026?
Gemini 3 Flash significantly outperforms across most benchmarks. Mistral Small 3.1 24B Base is 7.5x cheaper per token.
Verdict: Gemini 3 Flash vs Mistral Small 3.1 24B Base — which is better?
Gemini 3 Flash (by Google) 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.
Gemini 3 Flash outperforms in 1 benchmarks (GPQA), while Mistral Small 3.1 24B Base is better at 0 benchmarks. Gemini 3 Flash significantly outperforms across most benchmarks.
On price, Mistral Small 3.1 24B Base is roughly 7.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Gemini 3 Flash also accepts a larger context window (1,000,000 input tokens), making it the stronger choice for long documents and large codebases.
Choose Gemini 3 Flash if…
- you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
- you process long inputs — it offers a 1,000,000 token context window
- you want the most recent training data — it shipped Dec 2025
Choose Mistral Small 3.1 24B Base if…
- cost matters — it's about 7.5x cheaper per token
- you need open weights you can self-host or fine-tune
Performance Benchmarks
Comparative analysis across standard metrics
Gemini 3 Flash outperforms in 1 benchmarks (GPQA), while Mistral Small 3.1 24B Base is better at 0 benchmarks.
Gemini 3 Flash significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Gemini 3 Flash ($0.50/1M tokens) is 5.0x more expensive than Mistral Small 3.1 24B Base ($0.10/1M tokens).
For output processing, Gemini 3 Flash ($3.00/1M tokens) is 10.0x more expensive than Mistral Small 3.1 24B Base ($0.30/1M tokens).
In conclusion, Gemini 3 Flash 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
Gemini 3 Flash accepts 1,000,000 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 Gemini 3 Flash is limited to 65,536 tokens.
Input Capabilities
Supported data types and modalities
Both Gemini 3 Flash and Mistral Small 3.1 24B Base support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemini 3 Flash
Mistral Small 3.1 24B Base
License
Usage and distribution terms
Gemini 3 Flash 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
Gemini 3 Flash was released on 2025-12-17, while Mistral Small 3.1 24B Base was released on 2025-03-17.
Gemini 3 Flash is 9 months newer than Mistral Small 3.1 24B Base.
Dec 17, 2025
6 months ago
9mo newerMar 17, 2025
1.3 years ago
Knowledge Cutoff
When training data ends
Gemini 3 Flash has a documented knowledge cutoff of 2025-01-31, while Mistral Small 3.1 24B Base's cutoff date is not specified.
We can confirm Gemini 3 Flash's training data extends to 2025-01-31, but cannot make a direct comparison without Mistral Small 3.1 24B Base's cutoff date.
Jan 2025
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Provider Availability
Gemini 3 Flash is available from Google. Mistral Small 3.1 24B Base is available from Mistral AI.
Gemini 3 Flash
Mistral Small 3.1 24B Base
Outputs Comparison
Key Takeaways
Mistral Small 3.1 24B Base
View detailsMistral AI
Detailed Comparison
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FAQ
Common questions about Gemini 3 Flash vs Mistral Small 3.1 24B Base.