Model Comparison

Devstral Small 1.1 vs Gemma 3n E4B Instructed

Comparing Devstral Small 1.1 and Gemma 3n E4B Instructed across benchmarks, pricing, and capabilities.

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Devstral Small 1.1 and Gemma 3n E4B Instructed don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Devstral Small 1.1 costs less

For input processing, Devstral Small 1.1 ($0.10/1M tokens) is 200.0x cheaper than Gemma 3n E4B Instructed ($20.00/1M tokens).

For output processing, Devstral Small 1.1 ($0.30/1M tokens) is 133.3x cheaper than Gemma 3n E4B Instructed ($40.00/1M tokens).

In conclusion, Gemma 3n E4B Instructed is more expensive than Devstral Small 1.1.*

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

Lowest available price from all providers
Thu Apr 16 2026 • llm-stats.com
Mistral AI
Devstral Small 1.1
Input tokens$0.10
Output tokens$0.30
Best providerMistral
Google
Gemma 3n E4B Instructed
Input tokens$20.00
Output tokens$40.00
Best providerTogether
Notice missing or incorrect data?Start an Issue

Model Size

Parameter count comparison

16.0B diff

Devstral Small 1.1 has 16.0B more parameters than Gemma 3n E4B Instructed, making it 200.0% larger.

Mistral AI
Devstral Small 1.1
24.0Bparameters
Google
Gemma 3n E4B Instructed
8.0Bparameters
24.0B
Devstral Small 1.1
8.0B
Gemma 3n E4B Instructed

Context Window

Maximum input and output token capacity

Devstral Small 1.1 accepts 128,000 input tokens compared to Gemma 3n E4B Instructed's 32,000 tokens. Devstral Small 1.1 can generate longer responses up to 128,000 tokens, while Gemma 3n E4B Instructed is limited to 32,000 tokens.

Mistral AI
Devstral Small 1.1
Input128,000 tokens
Output128,000 tokens
Google
Gemma 3n E4B Instructed
Input32,000 tokens
Output32,000 tokens
Thu Apr 16 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemma 3n E4B Instructed supports multimodal inputs, whereas Devstral Small 1.1 does not.

Gemma 3n E4B Instructed can handle both text and other forms of data like images, making it suitable for multimodal applications.

Devstral Small 1.1

Text
Images
Audio
Video

Gemma 3n E4B Instructed

Text
Images
Audio
Video

License

Usage and distribution terms

Devstral Small 1.1 is licensed under Apache 2.0, while Gemma 3n E4B Instructed uses a proprietary license.

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

Devstral Small 1.1

Apache 2.0

Open weights

Gemma 3n E4B Instructed

Proprietary

Closed source

Release Timeline

When each model was launched

Devstral Small 1.1 was released on 2025-07-11, while Gemma 3n E4B Instructed was released on 2025-06-26.

Devstral Small 1.1 is 1 month newer than Gemma 3n E4B Instructed.

Devstral Small 1.1

Jul 11, 2025

9 months ago

2w newer
Gemma 3n E4B Instructed

Jun 26, 2025

9 months ago

Knowledge Cutoff

When training data ends

Gemma 3n E4B Instructed has a documented knowledge cutoff of 2024-06-01, while Devstral Small 1.1'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 Devstral Small 1.1's cutoff date.

Devstral Small 1.1

Gemma 3n E4B Instructed

Jun 2024

Provider Availability

Devstral Small 1.1 is available from Mistral AI. Gemma 3n E4B Instructed is available from Together.

Devstral Small 1.1

mistral logo
Mistral
Input Price:Input: $0.10/1MOutput Price:Output: $0.30/1M

Gemma 3n E4B Instructed

together logo
Together
Input Price:Input: $20.00/1MOutput Price:Output: $40.00/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Key Takeaways

Larger context window (128,000 tokens)
Less expensive input tokens
Less expensive output tokens
Has open weights
Supports multimodal inputs

Detailed Comparison

AI Model Comparison Table
Feature
Mistral AI
Devstral Small 1.1
Google
Gemma 3n E4B Instructed

FAQ

Common questions about Devstral Small 1.1 vs Gemma 3n E4B Instructed

Devstral Small 1.1 (Mistral AI) and Gemma 3n E4B Instructed (Google) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.
Devstral Small 1.1 scores SWE-Bench Verified: 53.6%. Gemma 3n E4B Instructed scores HumanEval: 75.0%, MGSM: 67.0%, MMLU: 64.9%, Global-MMLU-Lite: 64.5%, MBPP: 63.6%.
Devstral Small 1.1 is 200.0x cheaper for input tokens. Devstral Small 1.1 costs $0.10/M input and $0.30/M output via mistral. Gemma 3n E4B Instructed costs $20.00/M input and $40.00/M output via together.
Devstral Small 1.1 supports 128K tokens and Gemma 3n E4B Instructed supports 32K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (128K vs 32K), input pricing ($0.10 vs $20.00/M), multimodal support (no vs yes), licensing (Apache 2.0 vs Proprietary). See the full comparison above for benchmark-by-benchmark results.
Devstral Small 1.1 is developed by Mistral AI and Gemma 3n E4B Instructed is developed by Google.