Gemini 1.5 Flash 8B vs Pixtral-12B
Gemini 1.5 Flash 8B and Pixtral-12B are closely matched at -0.8 and -1.6 on the LLM Stats Score. Gemini 1.5 Flash 8B is 1.2x cheaper per token.
Google · Mistral AI · Updated for 2026
Which is better?
Gemini 1.5 Flash 8B and Pixtral-12B are closely matched on the overall LLM Stats Score at -0.8 and -1.6.
In the 3 individual benchmarks reported for both models, Gemini 1.5 Flash 8B wins 2; this is a narrower head-to-head signal than the composite indexes.
On price, Gemini 1.5 Flash 8B is roughly 1.2x 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.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Gemini 1.5 Flash 8B
- you value its reported benchmark strengths — it wins 2 of 3 exact shared results
- cost matters — it's about 1.2x cheaper per token
- you process long inputs — it offers a 1,048,576 token context window
Choose Pixtral-12B
- 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.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
13 reported for Gemini 1.5 Flash 8B · 12 for Pixtral-12B
Gemini 1.5 Flash 8B outperforms in 2 benchmarks (MATH, MMMU), while Pixtral-12B is better at 1 benchmark (MathVista).
Gemini 1.5 Flash 8B shows notably better performance in the majority of benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Gemini 1.5 Flash 8B ($0.07/1M tokens) is 2.1x cheaper than Pixtral-12B ($0.15/1M tokens).
For output processing, Gemini 1.5 Flash 8B ($0.30/1M tokens) is 2.0x more expensive than Pixtral-12B ($0.15/1M tokens).
In conclusion, Pixtral-12B is more expensive than Gemini 1.5 Flash 8B.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Pixtral-12B has 4.4B more parameters than Gemini 1.5 Flash 8B, making it 55.0% larger.
Context Window
Maximum input and output token capacity
Gemini 1.5 Flash 8B accepts 1,048,576 input tokens compared to Pixtral-12B's 128,000 tokens. Both models can generate responses up to 8,192 tokens.
Input capabilities
Documented input modalities across available providers
Both Gemini 1.5 Flash 8B and Pixtral-12B support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemini 1.5 Flash 8B
Pixtral-12B
License
Usage and distribution terms
Gemini 1.5 Flash 8B is licensed under a proprietary license, while Pixtral-12B 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 1.5 Flash 8B was released on 2024-03-15, while Pixtral-12B was released on 2024-09-17.
Pixtral-12B is 6 months newer than Gemini 1.5 Flash 8B.
Mar 15, 2024
2.6 years ago
Sep 17, 2024
2.1 years ago
6mo newerKnowledge Cutoff
When training data ends
Gemini 1.5 Flash 8B has a documented knowledge cutoff of 2024-10-01, while Pixtral-12B'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 Pixtral-12B's cutoff date.
Oct 2024
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Provider Availability
Gemini 1.5 Flash 8B is available from Google. Pixtral-12B is available from Mistral AI.
Gemini 1.5 Flash 8B
Pixtral-12B
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemini 1.5 Flash 8B and Pixtral-12B side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemini 1.5 Flash 8B vs Pixtral-12B.