Model Comparison

Gemma 3n E4B Instructed vs Mistral Small 3.1 24B Base

Mistral Small 3.1 24B Base significantly outperforms across most benchmarks. Mistral Small 3.1 24B Base is 166.7x cheaper per token.

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Gemma 3n E4B Instructed outperforms in 0 benchmarks, while Mistral Small 3.1 24B Base is better at 3 benchmarks (GPQA, MMLU, MMLU-Pro).

Mistral Small 3.1 24B Base significantly outperforms across most benchmarks.

Fri May 15 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Mistral Small 3.1 24B Base costs less

For input processing, Gemma 3n E4B Instructed ($20.00/1M tokens) is 200.0x more expensive than Mistral Small 3.1 24B Base ($0.10/1M tokens).

For output processing, Gemma 3n E4B Instructed ($40.00/1M tokens) is 133.3x more expensive than Mistral Small 3.1 24B Base ($0.30/1M tokens).

In conclusion, Gemma 3n E4B Instructed is more expensive than Mistral Small 3.1 24B Base.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Fri May 15 2026 • llm-stats.com
Google
Gemma 3n E4B Instructed
Input tokens$20.00
Output tokens$40.00
Best providerTogether
Mistral AI
Mistral Small 3.1 24B Base
Input tokens$0.10
Output tokens$0.30
Best providerMistral
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Model Size

Parameter count comparison

16.0B diff

Mistral Small 3.1 24B Base has 16.0B more parameters than Gemma 3n E4B Instructed, making it 200.0% larger.

Google
Gemma 3n E4B Instructed
8.0Bparameters
Mistral AI
Mistral Small 3.1 24B Base
24.0Bparameters
8.0B
Gemma 3n E4B Instructed
24.0B
Mistral Small 3.1 24B Base

Context Window

Maximum input and output token capacity

Mistral Small 3.1 24B Base accepts 128,000 input tokens compared to Gemma 3n E4B Instructed's 32,000 tokens. Mistral Small 3.1 24B Base can generate longer responses up to 128,000 tokens, while Gemma 3n E4B Instructed is limited to 32,000 tokens.

Google
Gemma 3n E4B Instructed
Input32,000 tokens
Output32,000 tokens
Mistral AI
Mistral Small 3.1 24B Base
Input128,000 tokens
Output128,000 tokens
Fri May 15 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemma 3n E4B Instructed and Mistral Small 3.1 24B Base support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Gemma 3n E4B Instructed

Text
Images
Audio
Video

Mistral Small 3.1 24B Base

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 3n E4B Instructed is licensed under a proprietary license, while Mistral Small 3.1 24B Base uses Apache 2.0.

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

Gemma 3n E4B Instructed

Proprietary

Closed source

Mistral Small 3.1 24B Base

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemma 3n E4B Instructed was released on 2025-06-26, while Mistral Small 3.1 24B Base was released on 2025-03-17.

Gemma 3n E4B Instructed is 3 months newer than Mistral Small 3.1 24B Base.

Gemma 3n E4B Instructed

Jun 26, 2025

10 months ago

3mo newer
Mistral Small 3.1 24B Base

Mar 17, 2025

1.2 years ago

Knowledge Cutoff

When training data ends

Gemma 3n E4B Instructed has a documented knowledge cutoff of 2024-06-01, while Mistral Small 3.1 24B Base's cutoff date is not specified.

We can confirm Gemma 3n E4B Instructed's training data extends to 2024-06-01, but cannot make a direct comparison without Mistral Small 3.1 24B Base's cutoff date.

Gemma 3n E4B Instructed

Jun 2024

Mistral Small 3.1 24B Base

Provider Availability

Gemma 3n E4B Instructed is available from Together. Mistral Small 3.1 24B Base is available from Mistral AI.

Gemma 3n E4B Instructed

together logo
Together
Input Price:Input: $20.00/1MOutput Price:Output: $40.00/1M

Mistral Small 3.1 24B Base

mistral logo
Mistral
Input Price:Input: $0.10/1MOutput Price:Output: $0.30/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

No standout differentiators in the data we have for this pair.

Larger context window (128,000 tokens)
Less expensive input tokens
Less expensive output tokens
Has open weights
Higher GPQA score (37.5% vs 23.7%)
Higher MMLU score (81.0% vs 64.9%)
Higher MMLU-Pro score (56.0% vs 50.6%)

Detailed Comparison

FAQ

Common questions about Gemma 3n E4B Instructed vs Mistral Small 3.1 24B Base.

Which is better, Gemma 3n E4B Instructed or Mistral Small 3.1 24B Base?

Mistral Small 3.1 24B Base significantly outperforms across most benchmarks. Gemma 3n E4B Instructed is made by Google and Mistral Small 3.1 24B Base is made by Mistral AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Gemma 3n E4B Instructed compare to Mistral Small 3.1 24B Base in benchmarks?

Gemma 3n E4B Instructed scores HumanEval: 75.0%, MGSM: 67.0%, MMLU: 64.9%, Global-MMLU-Lite: 64.5%, MBPP: 63.6%. Mistral Small 3.1 24B Base scores MMLU: 81.0%, TriviaQA: 80.5%, MMMU: 59.3%, MMLU-Pro: 56.0%, GPQA: 37.5%.

Is Gemma 3n E4B Instructed cheaper than Mistral Small 3.1 24B Base?

Mistral Small 3.1 24B Base is 200.0x cheaper for input tokens. Gemma 3n E4B Instructed costs $20.00/M input and $40.00/M output via together. Mistral Small 3.1 24B Base costs $0.10/M input and $0.30/M output via mistral.

What are the context window sizes for Gemma 3n E4B Instructed and Mistral Small 3.1 24B Base?

Gemma 3n E4B Instructed supports 32K tokens and Mistral Small 3.1 24B Base 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 3n E4B Instructed and Mistral Small 3.1 24B Base?

Key differences include context window (32K vs 128K), input pricing ($20.00 vs $0.10/M), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemma 3n E4B Instructed and Mistral Small 3.1 24B Base?

Gemma 3n E4B Instructed is developed by Google and Mistral Small 3.1 24B Base is developed by Mistral AI.