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Gemma 2 9B vs Llama 3.1 405B Instruct

Llama 3.1 405B Instruct leads the LLM Stats Score 14.9 to -4.8.

Google · Meta · Updated for 2026

Which is better?

Llama 3.1 405B Instruct leads the overall LLM Stats Score 14.9 to -4.8, ranking #218 overall.

In the 5 individual benchmarks reported for both models, Llama 3.1 405B Instruct 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 are already invested in the Google ecosystem

Choose Llama 3.1 405B Instruct

  • overall performance matters — it scores 14.9 and ranks #218 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 5 of 5 exact shared results
  • you want the most recent training data — it shipped Jul 2024

At a glance

The differences that matter most.

Core performance indexes
-4.8
#337
14.9
#218
-5.1
#330
14.0
#218
-11.0
#251
11.6
#144
Cost, coverage & limits
Benchmark wins
0 of 5
5 of 5
Input price
— / M
$0.89 / M
Output price
— / M
$0.89 / M
Context window
128,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
Gemma 2 9B
Llama 3.1 405B Instruct
-3.4#304
19.5#160
0.4#173
17.9#84
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

16 reported for Gemma 2 9B · 18 for Llama 3.1 405B Instruct

5 shared

Gemma 2 9B outperforms in 0 benchmarks, while Llama 3.1 405B Instruct is better at 5 benchmarks (ARC-C, GSM8k, HumanEval, MATH, MMLU).

Llama 3.1 405B Instruct 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

395.8B diff

Llama 3.1 405B Instruct has 395.8B more parameters than Gemma 2 9B, making it 4283.1% larger.

Google
Gemma 2 9B
9.2Bparameters
Meta
Llama 3.1 405B Instruct
405.0Bparameters
9.2B
Gemma 2 9B
405.0B
Llama 3.1 405B Instruct

Context Window

Maximum input and output token capacity

Only Llama 3.1 405B Instruct specifies input context (128,000 tokens). Only Llama 3.1 405B Instruct specifies output context (128,000 tokens).

Google
Gemma 2 9B
Input- tokens
Output- tokens
Meta
Llama 3.1 405B Instruct
Input128,000 tokens
Output128,000 tokens
Wed Sep 02 2026 • llm-stats.com

License

Usage and distribution terms

Gemma 2 9B is licensed under Gemma, while Llama 3.1 405B Instruct uses Llama 3.1 Community License.

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

Gemma 2 9B

Gemma

Open weights

Llama 3.1 405B Instruct

Llama 3.1 Community License

Open weights

Release Timeline

When each model was launched

Gemma 2 9B was released on 2024-06-27, while Llama 3.1 405B Instruct was released on 2024-07-23.

Llama 3.1 405B Instruct is 1 month newer than Gemma 2 9B.

Gemma 2 9B

Jun 27, 2024

2.2 years ago

Llama 3.1 405B Instruct

Jul 23, 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 Llama 3.1 405B Instruct side-by-side, then vote on the output you prefer.

Gemma 2 9B
✓ Preferred
Llama 3.1 405B Instruct
Open in Playground

FAQ

Common questions about Gemma 2 9B vs Llama 3.1 405B Instruct.

Which is better, Gemma 2 9B or Llama 3.1 405B Instruct?

Llama 3.1 405B Instruct leads the LLM Stats Score 14.9 to -4.8. Gemma 2 9B is made by Google and Llama 3.1 405B Instruct is made by Meta. 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 Llama 3.1 405B Instruct in benchmarks?

Gemma 2 9B scores ARC-E: 88.0%, BoolQ: 84.2%, HellaSwag: 81.9%, PIQA: 81.7%, Winogrande: 80.6%. Llama 3.1 405B Instruct scores ARC-C: 96.9%, GSM8k: 96.8%, API-Bank: 92.0%, Multilingual MGSM (CoT): 91.6%, HumanEval: 89.0%.

What are the context window sizes for Gemma 2 9B and Llama 3.1 405B Instruct?

Gemma 2 9B supports an unknown number of tokens and Llama 3.1 405B 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 Llama 3.1 405B Instruct?

Key differences include LLM Stats Score (-4.8 vs 14.9), licensing (Gemma vs Llama 3.1 Community License). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemma 2 9B and Llama 3.1 405B Instruct?

Gemma 2 9B is developed by Google and Llama 3.1 405B Instruct is developed by Meta.