Model Comparison
Gemini 3 Pro vs Mistral Small 3 24B InstructWhich is better in 2026?
Gemini 3 Pro significantly outperforms across most benchmarks. Mistral Small 3 24B Instruct is 51.4x cheaper per token.
Verdict: Gemini 3 Pro vs Mistral Small 3 24B Instruct — which is better?
Gemini 3 Pro (by Google) and Mistral Small 3 24B Instruct (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 Pro outperforms in 1 benchmarks (GPQA), while Mistral Small 3 24B Instruct is better at 0 benchmarks. Gemini 3 Pro significantly outperforms across most benchmarks.
On price, Mistral Small 3 24B Instruct is roughly 51.4x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Gemini 3 Pro also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.
Choose Gemini 3 Pro if…
- you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Nov 2025
Choose Mistral Small 3 24B Instruct if…
- cost matters — it's about 51.4x cheaper per token
- you need open weights you can self-host or fine-tune
Performance Benchmarks
Comparative analysis across standard metrics
Gemini 3 Pro outperforms in 1 benchmarks (GPQA), while Mistral Small 3 24B Instruct is better at 0 benchmarks.
Gemini 3 Pro significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Gemini 3 Pro ($2.00/1M tokens) is 28.6x more expensive than Mistral Small 3 24B Instruct ($0.07/1M tokens).
For output processing, Gemini 3 Pro ($12.00/1M tokens) is 85.7x more expensive than Mistral Small 3 24B Instruct ($0.14/1M tokens).
In conclusion, Gemini 3 Pro is more expensive than Mistral Small 3 24B Instruct.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Gemini 3 Pro accepts 1,048,576 input tokens compared to Mistral Small 3 24B Instruct's 32,000 tokens. Gemini 3 Pro can generate longer responses up to 65,536 tokens, while Mistral Small 3 24B Instruct is limited to 32,000 tokens.
Input Capabilities
Supported data types and modalities
Gemini 3 Pro supports multimodal inputs, whereas Mistral Small 3 24B Instruct does not.
Gemini 3 Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.
Gemini 3 Pro
Mistral Small 3 24B Instruct
License
Usage and distribution terms
Gemini 3 Pro is licensed under a proprietary license, while Mistral Small 3 24B Instruct 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 Pro was released on 2025-11-18, while Mistral Small 3 24B Instruct was released on 2025-01-30.
Gemini 3 Pro is 10 months newer than Mistral Small 3 24B Instruct.
Nov 18, 2025
6 months ago
9mo newerJan 30, 2025
1.4 years ago
Knowledge Cutoff
When training data ends
Gemini 3 Pro has a knowledge cutoff of 2025-01-31, while Mistral Small 3 24B Instruct has a cutoff of 2023-10-01.
Gemini 3 Pro has more recent training data (up to 2025-01-31), making it potentially better informed about events through that date compared to Mistral Small 3 24B Instruct (2023-10-01).
Jan 2025
1.3 yr newerOct 2023
Provider Availability
Gemini 3 Pro is available from Google. Mistral Small 3 24B Instruct is available from DeepInfra, Mistral AI.
Gemini 3 Pro
Mistral Small 3 24B Instruct
Outputs Comparison
Key Takeaways
Gemini 3 Pro
View detailsMistral Small 3 24B Instruct
View detailsMistral AI
Detailed Comparison
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FAQ
Common questions about Gemini 3 Pro vs Mistral Small 3 24B Instruct.