Model Comparison

Qwen3.5-397B-A17B vs Gemma 3n E2B Instructed

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

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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 E2B Instructed is better at 0 benchmarks.

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

Fri Apr 17 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers

Fri Apr 17 2026 • llm-stats.com

Qwen3.5-397B-A17B

Input tokens$0.60

Output tokens$3.60

Best providerNovita

Gemma 3n E2B Instructed

Input tokens$0.00

Output tokens$0.00

Best providerUnknown Organization

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 E2B Instructed, making it 4862.5% larger.

Qwen3.5-397B-A17B

397.0Bparameters

Gemma 3n E2B Instructed

8.0Bparameters

397.0B

Qwen3.5-397B-A17B

8.0B

Gemma 3n E2B Instructed

Context Window

Maximum input and output token capacity

Only Qwen3.5-397B-A17B specifies input context (262,144 tokens). Only Qwen3.5-397B-A17B specifies output context (64,000 tokens).

Qwen3.5-397B-A17B

Input262,144 tokens

Output64,000 tokens

Gemma 3n E2B Instructed

Input- tokens

Output- tokens

Fri Apr 17 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Qwen3.5-397B-A17B and Gemma 3n E2B 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 E2B Instructed

Text

Images

Audio

Video

License

Usage and distribution terms

Qwen3.5-397B-A17B is licensed under Apache 2.0, while Gemma 3n E2B 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 E2B Instructed

Proprietary

Closed source

Release Timeline

When each model was launched

Qwen3.5-397B-A17B was released on 2026-02-16, while Gemma 3n E2B Instructed was released on 2025-06-26.

Qwen3.5-397B-A17B is 8 months newer than Gemma 3n E2B Instructed.

Qwen3.5-397B-A17B

Feb 16, 2026

2 months ago

7mo newer

Gemma 3n E2B Instructed

Jun 26, 2025

9 months ago

Knowledge Cutoff

When training data ends

Gemma 3n E2B 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 E2B 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 E2B Instructed

Jun 2024

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Qwen3.5-397B-A17B

View details

Alibaba Cloud / Qwen Team

Larger context window (262,144 tokens)

Has open weights

Higher GPQA score (88.4% vs 24.8%)

Higher Include score (85.6% vs 38.6%)

Higher MMLU-Pro score (87.8% vs 40.5%)

Higher MMLU-ProX score (84.7% vs 8.1%)

Higher WMT24++ score (78.9% vs 42.7%)

Detailed Comparison

AI Model Comparison Table
Feature	Qwen3.5-397B-A17B	Gemma 3n E2B Instructed

FAQ

Common questions about Qwen3.5-397B-A17B vs Gemma 3n E2B Instructed

Qwen3.5-397B-A17B significantly outperforms across most benchmarks. Qwen3.5-397B-A17B is made by Alibaba Cloud / Qwen Team and Gemma 3n E2B 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 E2B Instructed scores HumanEval: 66.5%, MMLU: 60.1%, Global-MMLU-Lite: 59.0%, MBPP: 56.6%, Global-MMLU: 55.1%.

Qwen3.5-397B-A17B supports 262K tokens and Gemma 3n E2B Instructed supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

Key differences include 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 E2B Instructed is developed by Google.

Qwen3.5-397B-A17B vs Gemma 3n E2B Instructed

Performance Benchmarks

Arena Performance

Pricing Analysis

Model Size

Context Window

Input Capabilities

Qwen3.5-397B-A17B

Gemma 3n E2B Instructed

License

Release Timeline

Knowledge Cutoff

Outputs Comparison

Key Takeaways

Qwen3.5-397B-A17B

Gemma 3n E2B Instructed

Detailed Comparison

FAQ

Which is better, Qwen3.5-397B-A17B or Gemma 3n E2B Instructed?

How does Qwen3.5-397B-A17B compare to Gemma 3n E2B Instructed in benchmarks?

What are the context window sizes for Qwen3.5-397B-A17B and Gemma 3n E2B Instructed?

What are the main differences between Qwen3.5-397B-A17B and Gemma 3n E2B Instructed?

Who makes Qwen3.5-397B-A17B and Gemma 3n E2B Instructed?