Model Comparison

Gemma 3 27B vs Mistral Small 3 24B Instruct

Gemma 3 27B significantly outperforms across most benchmarks. Mistral Small 3 24B Instruct is 1.4x cheaper per token.

Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

Gemma 3 27B outperforms in 4 benchmarks (HumanEval, IFEval, MATH, MMLU-Pro), while Mistral Small 3 24B Instruct is better at 1 benchmark (GPQA).

Gemma 3 27B significantly outperforms across most benchmarks.

Thu Jun 04 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Mistral Small 3 24B Instruct costs less

For input processing, Gemma 3 27B ($0.10/1M tokens) is 1.4x more expensive than Mistral Small 3 24B Instruct ($0.07/1M tokens).

For output processing, Gemma 3 27B ($0.20/1M tokens) is 1.4x more expensive than Mistral Small 3 24B Instruct ($0.14/1M tokens).

In conclusion, Gemma 3 27B is more expensive than Mistral Small 3 24B Instruct.*

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

Lowest available price from all providers
Thu Jun 04 2026 • llm-stats.com
Google
Gemma 3 27B
Input tokens$0.10
Output tokens$0.20
Best providerDeepinfra
Mistral AI
Mistral Small 3 24B Instruct
Input tokens$0.07
Output tokens$0.14
Best providerDeepinfra
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Model Size

Parameter count comparison

3.0B diff

Gemma 3 27B has 3.0B more parameters than Mistral Small 3 24B Instruct, making it 12.5% larger.

Google
Gemma 3 27B
27.0Bparameters
Mistral AI
Mistral Small 3 24B Instruct
24.0Bparameters
27.0B
Gemma 3 27B
24.0B
Mistral Small 3 24B Instruct

Context Window

Maximum input and output token capacity

Gemma 3 27B accepts 131,072 input tokens compared to Mistral Small 3 24B Instruct's 32,000 tokens. Gemma 3 27B can generate longer responses up to 131,072 tokens, while Mistral Small 3 24B Instruct is limited to 32,000 tokens.

Google
Gemma 3 27B
Input131,072 tokens
Output131,072 tokens
Mistral AI
Mistral Small 3 24B Instruct
Input32,000 tokens
Output32,000 tokens
Thu Jun 04 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemma 3 27B supports multimodal inputs, whereas Mistral Small 3 24B Instruct does not.

Gemma 3 27B can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemma 3 27B

Text
Images
Audio
Video

Mistral Small 3 24B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 3 27B is licensed under Gemma, while Mistral Small 3 24B Instruct uses Apache 2.0.

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

Gemma 3 27B

Gemma

Open weights

Mistral Small 3 24B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemma 3 27B was released on 2025-03-12, while Mistral Small 3 24B Instruct was released on 2025-01-30.

Gemma 3 27B is 1 month newer than Mistral Small 3 24B Instruct.

Gemma 3 27B

Mar 12, 2025

1.2 years ago

1mo newer
Mistral Small 3 24B Instruct

Jan 30, 2025

1.3 years ago

Knowledge Cutoff

When training data ends

Mistral Small 3 24B Instruct has a documented knowledge cutoff of 2023-10-01, while Gemma 3 27B's cutoff date is not specified.

We can confirm Mistral Small 3 24B Instruct's training data extends to 2023-10-01, but cannot make a direct comparison without Gemma 3 27B's cutoff date.

Gemma 3 27B

Mistral Small 3 24B Instruct

Oct 2023

Provider Availability

Gemma 3 27B is available from DeepInfra, Novita. Mistral Small 3 24B Instruct is available from DeepInfra, Mistral AI.

Gemma 3 27B

deepinfra logo
Deepinfra
Input Price:Input: $0.10/1MOutput Price:Output: $0.20/1M
novita logo
Novita
Input Price:Input: $0.11/1MOutput Price:Output: $0.20/1M

Mistral Small 3 24B Instruct

deepinfra logo
Deepinfra
Input Price:Input: $0.07/1MOutput Price:Output: $0.14/1M
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

Larger context window (131,072 tokens)
Supports multimodal inputs
Higher HumanEval score (87.8% vs 84.8%)
Higher IFEval score (90.4% vs 82.9%)
Higher MATH score (89.0% vs 70.6%)
Higher MMLU-Pro score (67.5% vs 66.3%)
Less expensive input tokens
Less expensive output tokens
Higher GPQA score (45.3% vs 42.4%)

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemma 3 27B
Mistral AI
Mistral Small 3 24B Instruct

FAQ

Common questions about Gemma 3 27B vs Mistral Small 3 24B Instruct.

Which is better, Gemma 3 27B or Mistral Small 3 24B Instruct?

Gemma 3 27B significantly outperforms across most benchmarks. Gemma 3 27B is made by Google and Mistral Small 3 24B Instruct is made by Mistral AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Gemma 3 27B compare to Mistral Small 3 24B Instruct in benchmarks?

Gemma 3 27B scores GSM8k: 95.9%, IFEval: 90.4%, MATH: 89.0%, HumanEval: 87.8%, BIG-Bench Hard: 87.6%. Mistral Small 3 24B Instruct scores Arena Hard: 87.6%, HumanEval: 84.8%, MT-Bench: 83.5%, IFEval: 82.9%, MATH: 70.6%.

Is Gemma 3 27B cheaper than Mistral Small 3 24B Instruct?

Mistral Small 3 24B Instruct is 1.4x cheaper for input tokens. Gemma 3 27B costs $0.10/M input and $0.20/M output via deepinfra. Mistral Small 3 24B Instruct costs $0.07/M input and $0.14/M output via deepinfra.

What are the context window sizes for Gemma 3 27B and Mistral Small 3 24B Instruct?

Gemma 3 27B supports 131K tokens and Mistral Small 3 24B Instruct supports 32K 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 27B and Mistral Small 3 24B Instruct?

Key differences include context window (131K vs 32K), input pricing ($0.10 vs $0.07/M), multimodal support (yes vs no), licensing (Gemma vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemma 3 27B and Mistral Small 3 24B Instruct?

Gemma 3 27B is developed by Google and Mistral Small 3 24B Instruct is developed by Mistral AI.