Model Comparison

Gemma 3 12B vs Mistral Large 3

Mistral Large 3 significantly outperforms across most benchmarks. Gemma 3 12B is 44.0x cheaper per token.

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Gemma 3 12B outperforms in 0 benchmarks, while Mistral Large 3 is better at 1 benchmark (MATH).

Mistral Large 3 significantly outperforms across most benchmarks.

Mon May 18 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 3 ($2.00/1M tokens).

For output processing, Gemma 3 12B ($0.10/1M tokens) is 50.0x cheaper than Mistral Large 3 ($5.00/1M tokens).

In conclusion, Mistral Large 3 is more expensive than Gemma 3 12B.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Mon May 18 2026 • llm-stats.com
Google
Gemma 3 12B
Input tokens$0.05
Output tokens$0.10
Best providerDeepinfra
Mistral AI
Mistral Large 3
Input tokens$2.00
Output tokens$5.00
Best providerMistral
Notice missing or incorrect data?Start an Issue

Model Size

Parameter count comparison

663.0B diff

Mistral Large 3 has 663.0B more parameters than Gemma 3 12B, making it 5525.0% larger.

Google
Gemma 3 12B
12.0Bparameters
Mistral AI
Mistral Large 3
675.0Bparameters
12.0B
Gemma 3 12B
675.0B
Mistral Large 3

Context Window

Maximum input and output token capacity

Gemma 3 12B accepts 131,072 input tokens compared to Mistral Large 3's 128,000 tokens. Gemma 3 12B can generate longer responses up to 131,072 tokens, while Mistral Large 3 is limited to 8,192 tokens.

Google
Gemma 3 12B
Input131,072 tokens
Output131,072 tokens
Mistral AI
Mistral Large 3
Input128,000 tokens
Output8,192 tokens
Mon May 18 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemma 3 12B and Mistral Large 3 support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Gemma 3 12B

Text
Images
Audio
Video

Mistral Large 3

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 3 12B is licensed under Gemma, while Mistral Large 3 uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

Gemma 3 12B

Gemma

Open weights

Mistral Large 3

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemma 3 12B was released on 2025-03-12, while Mistral Large 3 was released on 2025-09-01.

Mistral Large 3 is 6 months newer than Gemma 3 12B.

Gemma 3 12B

Mar 12, 2025

1.2 years ago

Mistral Large 3

Sep 1, 2025

8 months ago

5mo newer

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 3 is available from Mistral AI.

Gemma 3 12B

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

Mistral Large 3

mistral logo
Mistral
Input Price:Input: $2.00/1MOutput Price:Output: $5.00/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Key Takeaways

Larger context window (131,072 tokens)
Less expensive input tokens
Less expensive output tokens
Higher MATH score (90.4% vs 83.8%)

Detailed Comparison

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

FAQ

Common questions about Gemma 3 12B vs Mistral Large 3.

Which is better, Gemma 3 12B or Mistral Large 3?

Mistral Large 3 significantly outperforms across most benchmarks. Gemma 3 12B is made by Google and Mistral Large 3 is made by Mistral AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Gemma 3 12B compare to Mistral Large 3 in benchmarks?

Gemma 3 12B scores GSM8k: 94.4%, IFEval: 88.9%, DocVQA: 87.1%, BIG-Bench Hard: 85.7%, HumanEval: 85.4%. Mistral Large 3 scores MATH: 90.4%, MM-MT-Bench: 84.9%, MMLU-Redux: 82.0%, TriviaQA: 74.9%, MMMLU: 74.2%.

Is Gemma 3 12B cheaper than Mistral Large 3?

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 3 costs $2.00/M input and $5.00/M output via mistral.

What are the context window sizes for Gemma 3 12B and Mistral Large 3?

Gemma 3 12B supports 131K tokens and Mistral Large 3 supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemma 3 12B and Mistral Large 3?

Key differences include context window (131K vs 128K), input pricing ($0.05 vs $2.00/M), licensing (Gemma vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemma 3 12B and Mistral Large 3?

Gemma 3 12B is developed by Google and Mistral Large 3 is developed by Mistral AI.