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Gemma 2 9B vs Mistral NeMo Instruct

Gemma 2 9B and Mistral NeMo Instruct are closely matched at -4.8 and -4.7 on the LLM Stats Score.

Google · Mistral AI · Updated for 2026

Which is better?

Gemma 2 9B and Mistral NeMo Instruct are closely matched on the overall LLM Stats Score at -4.8 and -4.7.

In the 5 individual benchmarks reported for both models, Gemma 2 9B wins 3; 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 3 of 5 exact shared results

Choose Mistral NeMo Instruct

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

At a glance

The differences that matter most.

Gemma 2 9B
Google
Mistral NeMo Instruct
Mistral AI
Core performance indexes
LLM Stats Score
-4.8
#352
-4.7
#351
Reasoning
-5.1
#345
-4.9
#343
Cost, coverage & limits
Benchmark wins
3 of 5
2 of 5
Input price
— / M
$0.02 / M
Output price
— / M
$0.03 / M
Context window
—
131,072

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Gemma 2 9B
Mistral NeMo Instruct
Legal
-0.1#183
-8.1#204
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

16 reported for Gemma 2 9B · 8 for Mistral NeMo Instruct

5 shared

Gemma 2 9B outperforms in 3 benchmarks (MMLU, TriviaQA, Winogrande), while Mistral NeMo Instruct is better at 2 benchmarks (HellaSwag, Natural Questions).

Gemma 2 9B has a slight edge in benchmark performance.

Thu Sep 10 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

2.8B diff

Mistral NeMo Instruct has 2.8B more parameters than Gemma 2 9B, making it 29.9% larger.

Google
Gemma 2 9B
9.2Bparameters
Mistral AI
Mistral NeMo Instruct
12.0Bparameters
9.2B
Gemma 2 9B
12.0B
Mistral NeMo Instruct

Context Window

Maximum input and output token capacity

Only Mistral NeMo Instruct specifies input context (131,072 tokens). Only Mistral NeMo Instruct specifies output context (131,072 tokens).

Google
Gemma 2 9B
Input- tokens
Output- tokens
Mistral AI
Mistral NeMo Instruct
Input131,072 tokens
Output131,072 tokens
Thu Sep 10 2026 • llm-stats.com

License

Usage and distribution terms

Gemma 2 9B is licensed under Gemma, while Mistral NeMo Instruct uses Apache 2.0.

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

Gemma 2 9B

Gemma

Open weights

Mistral NeMo Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemma 2 9B was released on 2024-06-27, while Mistral NeMo Instruct was released on 2024-07-18.

Mistral NeMo Instruct is 1 month newer than Gemma 2 9B.

Gemma 2 9B

Jun 27, 2024

2.2 years ago

Mistral NeMo Instruct

Jul 18, 2024

2.1 years ago

3w 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 Mistral NeMo Instruct side-by-side, then vote on the output you prefer.

Gemma 2 9B
✓ Preferred
Mistral NeMo Instruct
Open in Playground

FAQ

Common questions about Gemma 2 9B vs Mistral NeMo Instruct.

Which is better, Gemma 2 9B or Mistral NeMo Instruct?

Gemma 2 9B and Mistral NeMo Instruct are closely matched on the LLM Stats Score at -4.8 and -4.7. Gemma 2 9B is made by Google and Mistral NeMo 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 Mistral NeMo Instruct in benchmarks?

Gemma 2 9B scores ARC-E: 88.0%, BoolQ: 84.2%, HellaSwag: 81.9%, PIQA: 81.7%, Winogrande: 80.6%. Mistral NeMo Instruct scores HellaSwag: 83.5%, Winogrande: 76.8%, TriviaQA: 73.8%, CommonSenseQA: 70.4%, MMLU: 68.0%.

What are the context window sizes for Gemma 2 9B and Mistral NeMo Instruct?

Gemma 2 9B supports an unknown number of tokens and Mistral NeMo Instruct supports 131K 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 Mistral NeMo Instruct?

Key differences include LLM Stats Score (-4.8 vs -4.7), licensing (Gemma vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemma 2 9B and Mistral NeMo Instruct?

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

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