The AI arena is free today

Open Superagent

Gemma 2 9B vs Ministral 8B Instruct

Gemma 2 9B and Ministral 8B Instruct are closely matched at -4.4 and -4.1 on the LLM Stats Score.

Google · Mistral AI · Updated for 2026

Which is better?

Gemma 2 9B and Ministral 8B Instruct are closely matched on the overall LLM Stats Score at -4.4 and -4.1.

In the 7 individual benchmarks reported for both models, Gemma 2 9B wins 5; this is a narrower head-to-head signal than the composite indexes.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Gemma 2 9B

  • you value its reported benchmark strengths — it wins 5 of 7 exact shared results

Choose Ministral 8B Instruct

  • you want the most recent training data — it shipped Oct 2024

At a glance

The differences that matter most.

Core performance indexes
-4.4
#331
-4.1
#328
-4.7
#324
-4.2
#320
-11.0
#246
-14.4
#248
Cost, coverage & limits
Benchmark wins
5 of 7
2 of 7
Input price
— / M
$0.10 / M
Output price
— / M
$0.10 / M
Context window
128,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
Gemma 2 9B
Ministral 8B Instruct
-3.3#298
-3.6#300
0.5#168
-7.5#188
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

16 reported for Gemma 2 9B · 11 for Ministral 8B Instruct

7 shared

Gemma 2 9B outperforms in 5 benchmarks (AGIEval, HumanEval, MMLU, TriviaQA, Winogrande), while Ministral 8B Instruct is better at 2 benchmarks (ARC-C, MATH).

Gemma 2 9B shows notably better performance in the majority of benchmarks.

Fri Aug 28 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

1.2B diff

Gemma 2 9B has 1.2B more parameters than Ministral 8B Instruct, making it 15.2% larger.

Google
Gemma 2 9B
9.2Bparameters
Mistral AI
Ministral 8B Instruct
8.0Bparameters
9.2B
Gemma 2 9B
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 9B
Input- tokens
Output- tokens
Mistral AI
Ministral 8B Instruct
Input128,000 tokens
Output128,000 tokens
Fri Aug 28 2026 • llm-stats.com

License

Usage and distribution terms

Gemma 2 9B 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 9B

Gemma

Open weights

Ministral 8B Instruct

Mistral Research License

Open weights

Release Timeline

When each model was launched

Gemma 2 9B 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 9B.

Gemma 2 9B

Jun 27, 2024

2.2 years ago

Ministral 8B Instruct

Oct 16, 2024

1.9 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

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against Gemma 2 9B and Ministral 8B Instruct side-by-side, then vote on the output you prefer.

Gemma 2 9B
✓ Preferred
Ministral 8B Instruct
Open in Playground

FAQ

Common questions about Gemma 2 9B vs Ministral 8B Instruct.

Which is better, Gemma 2 9B or Ministral 8B Instruct?

Gemma 2 9B and Ministral 8B Instruct are closely matched on the LLM Stats Score at -4.4 and -4.1. Gemma 2 9B is made by Google and Ministral 8B Instruct is made by Mistral AI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Gemma 2 9B compare to Ministral 8B Instruct in benchmarks?

Gemma 2 9B scores ARC-E: 88.0%, BoolQ: 84.2%, HellaSwag: 81.9%, PIQA: 81.7%, Winogrande: 80.6%. Ministral 8B Instruct scores MT-Bench: 83.0%, Winogrande: 75.3%, ARC-C: 71.9%, Arena Hard: 70.9%, MBPP pass@1: 70.0%.

What are the context window sizes for Gemma 2 9B and Ministral 8B Instruct?

Gemma 2 9B supports an unknown number of tokens and Ministral 8B Instruct 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 2 9B and Ministral 8B Instruct?

Key differences include LLM Stats Score (-4.4 vs -4.1), licensing (Gemma vs Mistral Research License). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemma 2 9B and Ministral 8B Instruct?

Gemma 2 9B is developed by Google and Ministral 8B Instruct is developed by Mistral AI.