The AI arena is free today

Open Superagent

Gemma 2 27B vs Mistral NeMo Instruct

Gemma 2 27B and Mistral NeMo Instruct are closely matched at -0.5 and -4.9 on the LLM Stats Score.

Google · Mistral AI · Updated for 2026

Which is better?

Gemma 2 27B and Mistral NeMo Instruct are closely matched on the overall LLM Stats Score at -0.5 and -4.9.

In the 5 individual benchmarks reported for both models, Gemma 2 27B 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 27B

  • you value its reported benchmark strengths — it wins 5 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.

Core performance indexes
-0.5
#316
-4.9
#341
-0.9
#312
-5.1
#332
Cost, coverage & limits
Benchmark wins
5 of 5
0 of 5
Input price
— / M
$0.15 / M
Output price
— / M
$0.15 / M
Context window
128,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Gemma 2 27B
Mistral NeMo Instruct
2.5#164
-7.7#195
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

16 reported for Gemma 2 27B · 8 for Mistral NeMo Instruct

5 shared

Gemma 2 27B outperforms in 5 benchmarks (HellaSwag, MMLU, Natural Questions, TriviaQA, Winogrande), while Mistral NeMo Instruct is better at 0 benchmarks.

Gemma 2 27B significantly outperforms across most benchmarks.

Wed Sep 02 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

15.2B diff

Gemma 2 27B has 15.2B more parameters than Mistral NeMo Instruct, making it 126.7% larger.

Google
Gemma 2 27B
27.2Bparameters
Mistral AI
Mistral NeMo Instruct
12.0Bparameters
27.2B
Gemma 2 27B
12.0B
Mistral NeMo Instruct

Context Window

Maximum input and output token capacity

Only Mistral NeMo Instruct specifies input context (128,000 tokens). Only Mistral NeMo Instruct specifies output context (128,000 tokens).

Google
Gemma 2 27B
Input- tokens
Output- tokens
Mistral AI
Mistral NeMo Instruct
Input128,000 tokens
Output128,000 tokens
Wed Sep 02 2026 • llm-stats.com

License

Usage and distribution terms

Gemma 2 27B 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 27B

Gemma

Open weights

Mistral NeMo Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemma 2 27B 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 27B.

Gemma 2 27B

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 27B and Mistral NeMo Instruct side-by-side, then vote on the output you prefer.

Gemma 2 27B
✓ Preferred
Mistral NeMo Instruct
Open in Playground

FAQ

Common questions about Gemma 2 27B vs Mistral NeMo Instruct.

Which is better, Gemma 2 27B or Mistral NeMo Instruct?

Gemma 2 27B and Mistral NeMo Instruct are closely matched on the LLM Stats Score at -0.5 and -4.9. Gemma 2 27B 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 27B compare to Mistral NeMo Instruct in benchmarks?

Gemma 2 27B scores ARC-E: 88.6%, HellaSwag: 86.4%, BoolQ: 84.8%, TriviaQA: 83.7%, Winogrande: 83.7%. 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 27B and Mistral NeMo Instruct?

Gemma 2 27B supports an unknown number of tokens and Mistral NeMo 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 27B and Mistral NeMo Instruct?

Key differences include LLM Stats Score (-0.5 vs -4.9), licensing (Gemma vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemma 2 27B and Mistral NeMo Instruct?

Gemma 2 27B is developed by Google and Mistral NeMo Instruct is developed by Mistral AI.