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Gemma 3 1B vs Mistral Small 3.2 24B Instruct

Mistral Small 3.2 24B Instruct leads the LLM Stats Score 8.4 to -10.5.

Google · Mistral AI · Updated for 2026

Which is better?

Mistral Small 3.2 24B Instruct leads the overall LLM Stats Score 8.4 to -10.5, ranking #281 overall.

In the 4 individual benchmarks reported for both models, Mistral Small 3.2 24B Instruct wins 4; 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 3 1B

  • you are already invested in the Google ecosystem

Choose Mistral Small 3.2 24B Instruct

  • overall performance matters — it scores 8.4 and ranks #281 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 4 of 4 exact shared results
  • you want the most recent training data — it shipped Jun 2025

At a glance

The differences that matter most.

Core performance indexes
-10.5
#370
8.4
#281
-12.2
#364
7.9
#282
Cost, coverage & limits
Benchmark wins
0 of 4
4 of 4
Input price
— / M
$0.07 / M
Output price
— / M
$0.20 / M
Context window
128,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Gemma 3 1B
Mistral Small 3.2 24B Instruct
-9.2#325
11.1#245
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

18 reported for Gemma 3 1B · 15 for Mistral Small 3.2 24B Instruct

4 shared

Gemma 3 1B outperforms in 0 benchmarks, while Mistral Small 3.2 24B Instruct is better at 4 benchmarks (GPQA, MATH, MMLU-Pro, SimpleQA).

Mistral Small 3.2 24B Instruct significantly outperforms across most benchmarks.

Tue Sep 22 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

22.6B diff

Mistral Small 3.2 24B Instruct has 22.6B more parameters than Gemma 3 1B, making it 2260.0% larger.

Google
Gemma 3 1B
1.0Bparameters
Mistral AI
Mistral Small 3.2 24B Instruct
23.6Bparameters
1.0B
Gemma 3 1B
23.6B
Mistral Small 3.2 24B Instruct

Context Window

Maximum input and output token capacity

Only Mistral Small 3.2 24B Instruct specifies input context (128,000 tokens). Only Mistral Small 3.2 24B Instruct specifies output context (128,000 tokens).

Google
Gemma 3 1B
Input- tokens
Output- tokens
Mistral AI
Mistral Small 3.2 24B Instruct
Input128,000 tokens
Output128,000 tokens
Tue Sep 22 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Mistral Small 3.2 24B Instruct supports multimodal inputs, whereas Gemma 3 1B does not.

Mistral Small 3.2 24B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemma 3 1B

Text
Images
Audio
Video

Mistral Small 3.2 24B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 3 1B is licensed under Gemma, while Mistral Small 3.2 24B Instruct uses Apache 2.0.

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

Gemma 3 1B

Gemma

Open weights

Mistral Small 3.2 24B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemma 3 1B was released on 2025-03-12, while Mistral Small 3.2 24B Instruct was released on 2025-06-20.

Mistral Small 3.2 24B Instruct is 3 months newer than Gemma 3 1B.

Gemma 3 1B

Mar 12, 2025

1.5 years ago

Mistral Small 3.2 24B Instruct

Jun 20, 2025

1.3 years ago

3mo newer

Knowledge Cutoff

When training data ends

Mistral Small 3.2 24B Instruct has a documented knowledge cutoff of 2023-10-01, while Gemma 3 1B's cutoff date is not specified.

We can confirm Mistral Small 3.2 24B Instruct's training data extends to 2023-10-01, but cannot make a direct comparison without Gemma 3 1B's cutoff date.

Gemma 3 1B

Mistral Small 3.2 24B Instruct

Oct 2023

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against Gemma 3 1B and Mistral Small 3.2 24B Instruct side-by-side, then vote on the output you prefer.

Gemma 3 1B
✓ Preferred
Mistral Small 3.2 24B Instruct
Open in Playground

FAQ

Common questions about Gemma 3 1B vs Mistral Small 3.2 24B Instruct.

Which is better, Gemma 3 1B or Mistral Small 3.2 24B Instruct?

Mistral Small 3.2 24B Instruct leads the LLM Stats Score 8.4 to -10.5. Gemma 3 1B is made by Google and Mistral Small 3.2 24B 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 3 1B compare to Mistral Small 3.2 24B Instruct in benchmarks?

Gemma 3 1B scores IFEval: 80.2%, GSM8k: 62.8%, Natural2Code: 56.0%, MATH: 48.0%, HumanEval: 41.5%. Mistral Small 3.2 24B Instruct scores DocVQA: 94.9%, AI2D: 92.9%, HumanEval Plus: 92.9%, ChartQA: 87.4%, IF: 84.8%.

What are the context window sizes for Gemma 3 1B and Mistral Small 3.2 24B Instruct?

Gemma 3 1B supports an unknown number of tokens and Mistral Small 3.2 24B 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 3 1B and Mistral Small 3.2 24B Instruct?

Key differences include LLM Stats Score (-10.5 vs 8.4), multimodal support (no vs yes), licensing (Gemma vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemma 3 1B and Mistral Small 3.2 24B Instruct?

Gemma 3 1B is developed by Google and Mistral Small 3.2 24B Instruct is developed by Mistral AI.