Gemma 2 27B vs Ministral 8B Instruct Comparison

Comparing Gemma 2 27B and Ministral 8B Instruct across benchmarks, pricing, and capabilities.

Performance Benchmarks

Comparative analysis across standard metrics

7 benchmarks

Gemma 2 27B outperforms in 5 benchmarks (AGIEval, HumanEval, MMLU, TriviaQA, Winogrande), while Ministral 8B Instruct is better at 2 benchmarks (ARC-C, MATH).

Gemma 2 27B shows notably better performance in the majority of benchmarks.

Tue Mar 17 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Tue Mar 17 2026 • llm-stats.com
Google
Gemma 2 27B
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Mistral AI
Ministral 8B Instruct
Input tokens$0.10
Output tokens$0.10
Best providerMistral
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Model Size

Parameter count comparison

19.2B diff

Gemma 2 27B has 19.2B more parameters than Ministral 8B Instruct, making it 239.2% larger.

Google
Gemma 2 27B
27.2Bparameters
Mistral AI
Ministral 8B Instruct
8.0Bparameters
27.2B
Gemma 2 27B
8.0B
Ministral 8B Instruct

Context Window

Maximum input and output token capacity

Only Ministral 8B Instruct specifies input context (128,000 tokens). Only Ministral 8B Instruct specifies output context (128,000 tokens).

Google
Gemma 2 27B
Input- tokens
Output- tokens
Mistral AI
Ministral 8B Instruct
Input128,000 tokens
Output128,000 tokens
Tue Mar 17 2026 • llm-stats.com

License

Usage and distribution terms

Gemma 2 27B 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 2 27B

Gemma

Open weights

Ministral 8B Instruct

Mistral Research License

Open weights

Release Timeline

When each model was launched

Gemma 2 27B was released on 2024-06-27, while Ministral 8B Instruct was released on 2024-10-16.

Ministral 8B Instruct is 4 months newer than Gemma 2 27B.

Gemma 2 27B

Jun 27, 2024

1.7 years ago

Ministral 8B Instruct

Oct 16, 2024

1.4 years ago

3mo 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

Outputs Comparison

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Key Takeaways

Higher AGIEval score (55.1% vs 48.3%)
Higher HumanEval score (51.8% vs 34.8%)
Higher MMLU score (75.2% vs 65.0%)
Higher TriviaQA score (83.7% vs 65.5%)
Higher Winogrande score (83.7% vs 75.3%)
Larger context window (128,000 tokens)
Higher ARC-C score (71.9% vs 71.4%)
Higher MATH score (54.5% vs 42.3%)

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemma 2 27B
Mistral AI
Ministral 8B Instruct