Gemini 1.0 Pro vs Pixtral Large
Pixtral Large leads the LLM Stats Score 12.2 to -4.8. Gemini 1.0 Pro is 4.0x cheaper per token.
Google · Mistral AI · Updated for 2026
Which is better?
Pixtral Large leads the overall LLM Stats Score 12.2 to -4.8, ranking #235 overall.
In the 2 individual benchmarks reported for both models, Pixtral Large wins 2; this is a narrower head-to-head signal than the composite indexes.
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.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Gemini 1.0 Pro
- cost matters — it's about 4.0x cheaper per token
Choose Pixtral Large
- overall performance matters — it scores 12.2 and ranks #235 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 2 of 2 exact shared results
- 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
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
9 reported for Gemini 1.0 Pro · 7 for Pixtral Large
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.
Human preference
Blind head-to-head votes and playground preference scores
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
Documented input modalities across available providers
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
2.5 years ago
Nov 18, 2024
1.8 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
Judge for yourself.
Run your own prompts against Gemini 1.0 Pro and Pixtral Large side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemini 1.0 Pro vs Pixtral Large.