Model Comparison
Gemini 1.5 Flash 8B vs Mistral SmallWhich is better in 2026?
Comparing Gemini 1.5 Flash 8B and Mistral Small across benchmarks, pricing, and capabilities.
Verdict: Gemini 1.5 Flash 8B vs Mistral Small — which is better?
Gemini 1.5 Flash 8B (by Google) and Mistral Small (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.
On price, Gemini 1.5 Flash 8B is roughly 2.4x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Gemini 1.5 Flash 8B also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.
Choose Gemini 1.5 Flash 8B if…
- cost matters — it's about 2.4x cheaper per token
- you process long inputs — it offers a 1,048,576 token context window
Choose Mistral Small if…
- you want the most recent training data — it shipped Sep 2024
- you need open weights you can self-host or fine-tune
Performance Benchmarks
Comparative analysis across standard metrics
Gemini 1.5 Flash 8B and Mistral Smalldon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Gemini 1.5 Flash 8B ($0.07/1M tokens) is 2.9x cheaper than Mistral Small ($0.20/1M tokens).
For output processing, Gemini 1.5 Flash 8B ($0.30/1M tokens) is 2.0x cheaper than Mistral Small ($0.60/1M tokens).
In conclusion, Mistral Small is more expensive than Gemini 1.5 Flash 8B.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Mistral Small has 14.0B more parameters than Gemini 1.5 Flash 8B, making it 175.0% larger.
Context Window
Maximum input and output token capacity
Gemini 1.5 Flash 8B accepts 1,048,576 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 Flash 8B is limited to 8,192 tokens.
Input Capabilities
Supported data types and modalities
Gemini 1.5 Flash 8B supports multimodal inputs, whereas Mistral Small does not.
Gemini 1.5 Flash 8B can handle both text and other forms of data like images, making it suitable for multimodal applications.
Gemini 1.5 Flash 8B
Mistral Small
License
Usage and distribution terms
Gemini 1.5 Flash 8B 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 Flash 8B was released on 2024-03-15, while Mistral Small was released on 2024-09-17.
Mistral Small is 6 months newer than Gemini 1.5 Flash 8B.
Mar 15, 2024
2.3 years ago
Sep 17, 2024
1.8 years ago
6mo newerKnowledge Cutoff
When training data ends
Gemini 1.5 Flash 8B has a documented knowledge cutoff of 2024-10-01, while Mistral Small's cutoff date is not specified.
We can confirm Gemini 1.5 Flash 8B's training data extends to 2024-10-01, but cannot make a direct comparison without Mistral Small's cutoff date.
Oct 2024
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Provider Availability
Gemini 1.5 Flash 8B is available from Google. Mistral Small is available from Mistral AI.
Gemini 1.5 Flash 8B
Mistral Small
Outputs Comparison
Key Takeaways
Mistral Small
View detailsMistral AI
Gemini 1.5 Flash 8BMistral SmallDetailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against Gemini 1.5 Flash 8B and Mistral Small side-by-side, then vote on the output you prefer.
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FAQ
Common questions about Gemini 1.5 Flash 8B vs Mistral Small.