Model Comparison
Gemma 3 12B vs Ministral 8B InstructWhich is better in 2026?
Gemma 3 12B significantly outperforms across most benchmarks. Gemma 3 12B is 1.6x cheaper per token.
Verdict: Gemma 3 12B vs Ministral 8B Instruct — which is better?
Gemma 3 12B (by Google) and Ministral 8B Instruct (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.
Gemma 3 12B outperforms in 2 benchmarks (HumanEval, MATH), while Ministral 8B Instruct is better at 0 benchmarks. Gemma 3 12B significantly outperforms across most benchmarks.
On price, Gemma 3 12B is roughly 1.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Gemma 3 12B also accepts a larger context window (131,072 input tokens), making it the stronger choice for long documents and large codebases.
Choose Gemma 3 12B if…
- you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
- cost matters — it's about 1.6x cheaper per token
- you process long inputs — it offers a 131,072 token context window
- you want the most recent training data — it shipped Mar 2025
Choose Ministral 8B Instruct if…
- you want predictable pricing at $0.10/M input and $0.10/M output
Performance Benchmarks
Comparative analysis across standard metrics
Gemma 3 12B outperforms in 2 benchmarks (HumanEval, MATH), while Ministral 8B Instruct is better at 0 benchmarks.
Gemma 3 12B significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Gemma 3 12B ($0.05/1M tokens) is 2.0x cheaper than Ministral 8B Instruct ($0.10/1M tokens).
For output processing, Gemma 3 12B ($0.10/1M tokens) costs the same as Ministral 8B Instruct ($0.10/1M tokens).
In conclusion, Ministral 8B Instruct is more expensive than Gemma 3 12B.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Gemma 3 12B has 4.0B more parameters than Ministral 8B Instruct, making it 49.6% larger.
Context Window
Maximum input and output token capacity
Gemma 3 12B accepts 131,072 input tokens compared to Ministral 8B Instruct's 128,000 tokens. Gemma 3 12B can generate longer responses up to 131,072 tokens, while Ministral 8B Instruct is limited to 128,000 tokens.
Input Capabilities
Supported data types and modalities
Gemma 3 12B supports multimodal inputs, whereas Ministral 8B Instruct does not.
Gemma 3 12B can handle both text and other forms of data like images, making it suitable for multimodal applications.
Gemma 3 12B
Ministral 8B Instruct
License
Usage and distribution terms
Gemma 3 12B is licensed under Gemma, while Ministral 8B Instruct uses Mistral Research License.
License differences may affect how you can use these models in commercial or open-source projects.
Gemma
Open weights
Mistral Research License
Open weights
Release Timeline
When each model was launched
Gemma 3 12B was released on 2025-03-12, while Ministral 8B Instruct was released on 2024-10-16.
Gemma 3 12B is 5 months newer than Ministral 8B Instruct.
Mar 12, 2025
1.4 years ago
4mo newerOct 16, 2024
1.8 years ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Gemma 3 12B is available from DeepInfra. Ministral 8B Instruct is available from Mistral AI.
Gemma 3 12B
Ministral 8B Instruct
Outputs Comparison
Key Takeaways
Gemma 3 12B
View detailsMinistral 8B Instruct
View detailsMistral AI
No standout differentiators in the data we have for this pair.
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against Gemma 3 12B and Ministral 8B Instruct side-by-side, then vote on the output you prefer.
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FAQ
Common questions about Gemma 3 12B vs Ministral 8B Instruct.