Model Comparison
Gemini 1.0 Pro vs Pixtral LargeWhich is better in 2026?
Pixtral Large significantly outperforms across most benchmarks. Gemini 1.0 Pro is 4.0x cheaper per token.
Verdict: Gemini 1.0 Pro vs Pixtral Large — which is better?
Gemini 1.0 Pro (by Google) and Pixtral Large (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 1.0 Pro outperforms in 0 benchmarks, while Pixtral Large is better at 2 benchmarks (MathVista, MMMU). Pixtral Large significantly outperforms across most benchmarks.
On price, Gemini 1.0 Pro is roughly 4.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Pixtral Large also accepts a larger context window (128,000 input tokens), making it the stronger choice for long documents and large codebases.
Choose Gemini 1.0 Pro if…
- cost matters — it's about 4.0x cheaper per token
Choose Pixtral Large if…
- you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
- you process long inputs — it offers a 128,000 token context window
- you want the most recent training data — it shipped Nov 2024
- you need open weights you can self-host or fine-tune
Performance Benchmarks
Comparative analysis across standard metrics
Gemini 1.0 Pro outperforms in 0 benchmarks, while Pixtral Large is better at 2 benchmarks (MathVista, MMMU).
Pixtral Large significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Gemini 1.0 Pro ($0.50/1M tokens) is 4.0x cheaper than Pixtral Large ($2.00/1M tokens).
For output processing, Gemini 1.0 Pro ($1.50/1M tokens) is 4.0x cheaper than Pixtral Large ($6.00/1M tokens).
In conclusion, Pixtral Large is more expensive than Gemini 1.0 Pro.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Pixtral Large accepts 128,000 input tokens compared to Gemini 1.0 Pro's 32,760 tokens. Pixtral Large can generate longer responses up to 128,000 tokens, while Gemini 1.0 Pro is limited to 8,192 tokens.
Input Capabilities
Supported data types and modalities
Pixtral Large supports multimodal inputs, whereas Gemini 1.0 Pro does not.
Pixtral Large can handle both text and other forms of data like images, making it suitable for multimodal applications.
Gemini 1.0 Pro
Pixtral Large
License
Usage and distribution terms
Gemini 1.0 Pro is licensed under a proprietary license, while Pixtral Large uses Mistral Research License (MRL) for research; Mistral Commercial License for commercial use.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Mistral Research License (MRL) for research; Mistral Commercial License for commercial use
Open weights
Release Timeline
When each model was launched
Gemini 1.0 Pro was released on 2024-02-15, while Pixtral Large was released on 2024-11-18.
Pixtral Large is 9 months newer than Gemini 1.0 Pro.
Feb 15, 2024
2.3 years ago
Nov 18, 2024
1.6 years ago
9mo newerKnowledge Cutoff
When training data ends
Gemini 1.0 Pro has a documented knowledge cutoff of 2024-02-01, while Pixtral Large's cutoff date is not specified.
We can confirm Gemini 1.0 Pro's training data extends to 2024-02-01, but cannot make a direct comparison without Pixtral Large's cutoff date.
Feb 2024
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Provider Availability
Gemini 1.0 Pro is available from Google. Pixtral Large is available from Mistral AI.
Gemini 1.0 Pro
Pixtral Large
Outputs Comparison
Key Takeaways
Pixtral Large
View detailsMistral AI
Detailed Comparison
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FAQ
Common questions about Gemini 1.0 Pro vs Pixtral Large.