Gemini 1.5 Pro vs Mistral Small
Comparing Gemini 1.5 Pro and Mistral Small across benchmarks, pricing, and capabilities.
Google · Mistral AI · Updated for 2026
Which is better?
Gemini 1.5 Pro and Mistral Small trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.
On price, Mistral Small is roughly 14.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Gemini 1.5 Pro also accepts a larger context window (2,097,152 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 1.5 Pro
- you process long inputs — it offers a 2,097,152 token context window
Choose Mistral Small
- cost matters — it's about 14.6x cheaper per token
- you want the most recent training data — it shipped Sep 2024
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Individual benchmarks
23 reported for Gemini 1.5 Pro · 0 for Mistral Small
Gemini 1.5 Pro and Mistral Smalldon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Gemini 1.5 Pro ($2.50/1M tokens) is 12.5x more expensive than Mistral Small ($0.20/1M tokens).
For output processing, Gemini 1.5 Pro ($10.00/1M tokens) is 16.7x more expensive than Mistral Small ($0.60/1M tokens).
In conclusion, Gemini 1.5 Pro is more expensive than Mistral Small.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Gemini 1.5 Pro accepts 2,097,152 input tokens compared to Mistral Small's 32,768 tokens. Mistral Small can generate longer responses up to 32,768 tokens, while Gemini 1.5 Pro is limited to 8,192 tokens.
Input capabilities
Documented input modalities across available providers
Gemini 1.5 Pro supports multimodal inputs, whereas Mistral Small does not.
Gemini 1.5 Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.
Gemini 1.5 Pro
Mistral Small
License
Usage and distribution terms
Gemini 1.5 Pro is licensed under a proprietary license, while Mistral Small uses Mistral Research License.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Mistral Research License
Open weights
Release Timeline
When each model was launched
Gemini 1.5 Pro was released on 2024-05-01, while Mistral Small was released on 2024-09-17.
Mistral Small is 5 months newer than Gemini 1.5 Pro.
May 1, 2024
2.3 years ago
Sep 17, 2024
2.0 years ago
4mo newerKnowledge Cutoff
When training data ends
Gemini 1.5 Pro has a documented knowledge cutoff of 2023-11-01, while Mistral Small's cutoff date is not specified.
We can confirm Gemini 1.5 Pro's training data extends to 2023-11-01, but cannot make a direct comparison without Mistral Small's cutoff date.
Nov 2023
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Provider Availability
Gemini 1.5 Pro is available from Google. Mistral Small is available from Mistral AI.
Gemini 1.5 Pro
Mistral Small
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemini 1.5 Pro and Mistral Small side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemini 1.5 Pro vs Mistral Small.