Model Comparison

Qwen3.5-397B-A17B vs Gemma 3n E4B Instructed

Qwen3.5-397B-A17B significantly outperforms across most benchmarks. Qwen3.5-397B-A17B is 18.5x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

Qwen3.5-397B-A17B outperforms in 5 benchmarks (GPQA, Include, MMLU-Pro, MMLU-ProX, WMT24++), while Gemma 3n E4B Instructed is better at 0 benchmarks.

Qwen3.5-397B-A17B significantly outperforms across most benchmarks.

Thu Apr 16 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Qwen3.5-397B-A17B costs less

For input processing, Qwen3.5-397B-A17B ($0.60/1M tokens) is 33.3x cheaper than Gemma 3n E4B Instructed ($20.00/1M tokens).

For output processing, Qwen3.5-397B-A17B ($3.60/1M tokens) is 11.1x cheaper than Gemma 3n E4B Instructed ($40.00/1M tokens).

In conclusion, Gemma 3n E4B Instructed is more expensive than Qwen3.5-397B-A17B.*

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

Lowest available price from all providers
Thu Apr 16 2026 • llm-stats.com
Alibaba Cloud / Qwen Team
Qwen3.5-397B-A17B
Input tokens$0.60
Output tokens$3.60
Best providerNovita
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

389.0B diff

Qwen3.5-397B-A17B has 389.0B more parameters than Gemma 3n E4B Instructed, making it 4862.5% larger.

Alibaba Cloud / Qwen Team
Qwen3.5-397B-A17B
397.0Bparameters
Google
Gemma 3n E4B Instructed
8.0Bparameters
397.0B
Qwen3.5-397B-A17B
8.0B
Gemma 3n E4B Instructed

Context Window

Maximum input and output token capacity

Qwen3.5-397B-A17B accepts 262,144 input tokens compared to Gemma 3n E4B Instructed's 32,000 tokens. Qwen3.5-397B-A17B can generate longer responses up to 64,000 tokens, while Gemma 3n E4B Instructed is limited to 32,000 tokens.

Alibaba Cloud / Qwen Team
Qwen3.5-397B-A17B
Input262,144 tokens
Output64,000 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

Both Qwen3.5-397B-A17B and Gemma 3n E4B Instructed support multimodal inputs.

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

Qwen3.5-397B-A17B

Text
Images
Audio
Video

Gemma 3n E4B Instructed

Text
Images
Audio
Video

License

Usage and distribution terms

Qwen3.5-397B-A17B 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.

Qwen3.5-397B-A17B

Apache 2.0

Open weights

Gemma 3n E4B Instructed

Proprietary

Closed source

Release Timeline

When each model was launched

Qwen3.5-397B-A17B was released on 2026-02-16, while Gemma 3n E4B Instructed was released on 2025-06-26.

Qwen3.5-397B-A17B is 8 months newer than Gemma 3n E4B Instructed.

Qwen3.5-397B-A17B

Feb 16, 2026

1 months ago

7mo 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 Qwen3.5-397B-A17B'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 Qwen3.5-397B-A17B's cutoff date.

Qwen3.5-397B-A17B

—

Gemma 3n E4B Instructed

Jun 2024

Provider Availability

Qwen3.5-397B-A17B is available from Novita. Gemma 3n E4B Instructed is available from Together.

Qwen3.5-397B-A17B

novita logo
Novita
Input Price:Input: $0.60/1MOutput Price:Output: $3.60/1M

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

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Key Takeaways

Alibaba Cloud / Qwen Team

Qwen3.5-397B-A17B

View details

Alibaba Cloud / Qwen Team

Larger context window (262,144 tokens)
Less expensive input tokens
Less expensive output tokens
Has open weights
Higher GPQA score (88.4% vs 23.7%)
Higher Include score (85.6% vs 57.2%)
Higher MMLU-Pro score (87.8% vs 50.6%)
Higher MMLU-ProX score (84.7% vs 19.9%)
Higher WMT24++ score (78.9% vs 50.1%)
Google

Detailed Comparison

AI Model Comparison Table
Feature
Alibaba Cloud / Qwen Team
Qwen3.5-397B-A17B
Google
Gemma 3n E4B Instructed

FAQ

Common questions about Qwen3.5-397B-A17B vs Gemma 3n E4B Instructed

Qwen3.5-397B-A17B significantly outperforms across most benchmarks. Qwen3.5-397B-A17B is made by Alibaba Cloud / Qwen Team and Gemma 3n E4B Instructed is made by Google. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Qwen3.5-397B-A17B scores MMLU-Redux: 94.9%, HMMT 2025: 94.8%, C-Eval: 93.0%, HMMT25: 92.7%, IFEval: 92.6%. Gemma 3n E4B Instructed scores HumanEval: 75.0%, MGSM: 67.0%, MMLU: 64.9%, Global-MMLU-Lite: 64.5%, MBPP: 63.6%.
Qwen3.5-397B-A17B is 33.3x cheaper for input tokens. Qwen3.5-397B-A17B costs $0.60/M input and $3.60/M output via novita. Gemma 3n E4B Instructed costs $20.00/M input and $40.00/M output via together.
Qwen3.5-397B-A17B supports 262K 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 (262K vs 32K), input pricing ($0.60 vs $20.00/M), licensing (Apache 2.0 vs Proprietary). See the full comparison above for benchmark-by-benchmark results.
Qwen3.5-397B-A17B is developed by Alibaba Cloud / Qwen Team and Gemma 3n E4B Instructed is developed by Google.