Model Comparison

Gemma 3 12B vs Mistral Large 2

Both models are evenly matched across the benchmarks. Gemma 3 12B is 48.0x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

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.

Tue Apr 14 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Gemma 3 12B costs less

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 ($0.10/1M tokens) is 60.0x 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

Lowest available price from all providers
Tue Apr 14 2026 • llm-stats.com
Google
Gemma 3 12B
Input tokens$0.05
Output tokens$0.10
Best providerDeepinfra
Mistral AI
Mistral Large 2
Input tokens$2.00
Output tokens$6.00
Best providerGoogle
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Model Size

Parameter count comparison

111.0B diff

Mistral Large 2 has 111.0B more parameters than Gemma 3 12B, making it 925.0% larger.

Google
Gemma 3 12B
12.0Bparameters
Mistral AI
Mistral Large 2
123.0Bparameters
12.0B
Gemma 3 12B
123.0B
Mistral Large 2

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.

Google
Gemma 3 12B
Input131,072 tokens
Output131,072 tokens
Mistral AI
Mistral Large 2
Input128,000 tokens
Output128,000 tokens
Tue Apr 14 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

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

Text
Images
Audio
Video

Mistral Large 2

Text
Images
Audio
Video

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 3 12B

Gemma

Open weights

Mistral Large 2

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.

Gemma 3 12B

Mar 12, 2025

1.1 years ago

7mo newer
Mistral Large 2

Jul 24, 2024

1.7 years ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

Gemma 3 12B is available from DeepInfra. Mistral Large 2 is available from Google, Mistral AI.

Gemma 3 12B

deepinfra logo
Deepinfra
Input Price:Input: $0.05/1MOutput Price:Output: $0.10/1M

Mistral Large 2

google logo
Google
Input Price:Input: $2.00/1MOutput Price:Output: $6.00/1M
mistral logo
Mistral
Input Price:Input: $2.00/1MOutput Price:Output: $6.00/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Google
Larger context window (131,072 tokens)
Supports multimodal inputs
Less expensive input tokens
Less expensive output tokens
Higher GSM8k score (94.4% vs 93.0%)
Mistral AI
Higher HumanEval score (92.0% vs 85.4%)

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemma 3 12B
Mistral AI
Mistral Large 2

FAQ

Common questions about Gemma 3 12B vs Mistral Large 2

Both models are evenly matched across the benchmarks. Gemma 3 12B is made by Google and Mistral Large 2 is made by Mistral AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Gemma 3 12B scores GSM8k: 94.4%, IFEval: 88.9%, DocVQA: 87.1%, BIG-Bench Hard: 85.7%, HumanEval: 85.4%. Mistral Large 2 scores GSM8k: 93.0%, HumanEval: 92.0%, MT-Bench: 86.3%, MMLU: 84.0%, MMLU French: 82.8%.
Gemma 3 12B is 40.0x cheaper for input tokens. Gemma 3 12B costs $0.05/M input and $0.10/M output via deepinfra. Mistral Large 2 costs $2.00/M input and $6.00/M output via google.
Gemma 3 12B supports 131K tokens and Mistral Large 2 supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (131K vs 128K), input pricing ($0.05 vs $2.00/M), multimodal support (yes vs no), licensing (Gemma vs Mistral Research License). See the full comparison above for benchmark-by-benchmark results.
Gemma 3 12B is developed by Google and Mistral Large 2 is developed by Mistral AI.