Gemma 3 12B vs Mistral Large 2
Gemma 3 12B and Mistral Large 2 are closely matched at 5.6 and 7.4 on the LLM Stats Score. Gemma 3 12B is 40.0x cheaper per token.
Google · Mistral AI · Updated for 2026
Which is better?
Gemma 3 12B and Mistral Large 2 are closely matched on the overall LLM Stats Score at 5.6 and 7.4.
The models split the 2 individual benchmarks reported for both models evenly.
On price, Gemma 3 12B is roughly 40.0x 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.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Gemma 3 12B
- cost matters — it's about 40.0x 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 Mistral Large 2
- you want predictable pricing at $2.00/M input and $6.00/M output
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
26 reported for Gemma 3 12B · 5 for Mistral Large 2
Gemma 3 12B outperforms in 1 benchmarks (GSM8k), while Mistral Large 2 is better at 1 benchmark (HumanEval).
Both models are evenly matched across the benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Gemma 3 12B ($0.05/1M tokens) is 40.0x cheaper than Mistral Large 2 ($2.00/1M tokens).
For output processing, Gemma 3 12B ($0.15/1M tokens) is 40.0x cheaper than Mistral Large 2 ($6.00/1M tokens).
In conclusion, Mistral Large 2 is more expensive than Gemma 3 12B.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Mistral Large 2 has 111.0B more parameters than Gemma 3 12B, making it 925.0% larger.
Context Window
Maximum input and output token capacity
Gemma 3 12B accepts 131,072 input tokens compared to Mistral Large 2's 128,000 tokens. Gemma 3 12B can generate longer responses up to 131,072 tokens, while Mistral Large 2 is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
Gemma 3 12B supports multimodal inputs, whereas Mistral Large 2 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
Mistral Large 2
License
Usage and distribution terms
Gemma 3 12B is licensed under Gemma, while Mistral Large 2 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 Mistral Large 2 was released on 2024-07-24.
Gemma 3 12B is 8 months newer than Mistral Large 2.
Mar 12, 2025
1.5 years ago
7mo newerJul 24, 2024
2.2 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. Mistral Large 2 is available from Google, Mistral AI.
Gemma 3 12B
Mistral Large 2
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemma 3 12B and Mistral Large 2 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemma 3 12B vs Mistral Large 2.