Model Comparison

Gemini 3.1 Pro vs Qwen3.5-397B-A17B

Gemini 3.1 Pro significantly outperforms across most benchmarks. Qwen3.5-397B-A17B is 4.2x cheaper per token.

Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

7 benchmarks

Gemini 3.1 Pro outperforms in 7 benchmarks (BrowseComp, GPQA, Humanity's Last Exam, MMMLU, SWE-Bench Verified, t2-bench, Terminal-Bench 2.0), while Qwen3.5-397B-A17B is better at 0 benchmarks.

Gemini 3.1 Pro significantly outperforms across most benchmarks.

Tue Apr 07 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, Gemini 3.1 Pro ($2.50/1M tokens) is 4.2x more expensive than Qwen3.5-397B-A17B ($0.60/1M tokens).

For output processing, Gemini 3.1 Pro ($15.00/1M tokens) is 4.2x more expensive than Qwen3.5-397B-A17B ($3.60/1M tokens).

In conclusion, Gemini 3.1 Pro is more expensive than Qwen3.5-397B-A17B.*

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

Lowest available price from all providers
Tue Apr 07 2026 • llm-stats.com
Google
Gemini 3.1 Pro
Input tokens$2.50
Output tokens$15.00
Best providerGoogle
Alibaba Cloud / Qwen Team
Qwen3.5-397B-A17B
Input tokens$0.60
Output tokens$3.60
Best providerNovita
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Gemini 3.1 Pro accepts 1,048,576 input tokens compared to Qwen3.5-397B-A17B's 262,144 tokens. Gemini 3.1 Pro can generate longer responses up to 65,536 tokens, while Qwen3.5-397B-A17B is limited to 64,000 tokens.

Google
Gemini 3.1 Pro
Input1,048,576 tokens
Output65,536 tokens
Alibaba Cloud / Qwen Team
Qwen3.5-397B-A17B
Input262,144 tokens
Output64,000 tokens
Tue Apr 07 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemini 3.1 Pro and Qwen3.5-397B-A17B support multimodal inputs.

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

Gemini 3.1 Pro

Text
Images
Audio
Video

Qwen3.5-397B-A17B

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 3.1 Pro is licensed under a proprietary license, while Qwen3.5-397B-A17B uses Apache 2.0.

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

Gemini 3.1 Pro

Proprietary

Closed source

Qwen3.5-397B-A17B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemini 3.1 Pro was released on 2026-02-19, while Qwen3.5-397B-A17B was released on 2026-02-16.

Gemini 3.1 Pro is 0 month newer than Qwen3.5-397B-A17B.

Gemini 3.1 Pro

Feb 19, 2026

1 months ago

3d newer
Qwen3.5-397B-A17B

Feb 16, 2026

1 months ago

Knowledge Cutoff

When training data ends

Gemini 3.1 Pro has a documented knowledge cutoff of 2025-01-31, while Qwen3.5-397B-A17B's cutoff date is not specified.

We can confirm Gemini 3.1 Pro's training data extends to 2025-01-31, but cannot make a direct comparison without Qwen3.5-397B-A17B's cutoff date.

Gemini 3.1 Pro

Jan 2025

Qwen3.5-397B-A17B

—

Provider Availability

Gemini 3.1 Pro is available from Google. Qwen3.5-397B-A17B is available from Novita.

Gemini 3.1 Pro

google logo
Google
Input Price:Input: $2.50/1MOutput Price:Output: $15.00/1M

Qwen3.5-397B-A17B

novita logo
Novita
Input Price:Input: $0.60/1MOutput Price:Output: $3.60/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Google
Larger context window (1,048,576 tokens)
Higher BrowseComp score (85.9% vs 69.0%)
Higher GPQA score (94.3% vs 88.4%)
Higher Humanity's Last Exam score (51.4% vs 28.7%)
Higher MMMLU score (92.6% vs 88.5%)
Higher SWE-Bench Verified score (80.6% vs 76.4%)
Higher t2-bench score (99.3% vs 86.7%)
Higher Terminal-Bench 2.0 score (68.5% vs 52.5%)
Alibaba Cloud / Qwen Team

Qwen3.5-397B-A17B

View details

Alibaba Cloud / Qwen Team

Less expensive input tokens
Less expensive output tokens
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 3.1 Pro
Alibaba Cloud / Qwen Team
Qwen3.5-397B-A17B

FAQ

Common questions about Gemini 3.1 Pro vs Qwen3.5-397B-A17B

Gemini 3.1 Pro significantly outperforms across most benchmarks. Gemini 3.1 Pro is made by Google and Qwen3.5-397B-A17B is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Gemini 3.1 Pro scores t2-bench: 99.3%, LiveCodeBench Pro: 96.2%, GPQA: 94.3%, MMMLU: 92.6%, BrowseComp: 85.9%. Qwen3.5-397B-A17B scores MMLU-Redux: 94.9%, HMMT 2025: 94.8%, C-Eval: 93.0%, HMMT25: 92.7%, IFEval: 92.6%.
Qwen3.5-397B-A17B is 4.2x cheaper for input tokens. Gemini 3.1 Pro costs $2.50/M input and $15.00/M output via google. Qwen3.5-397B-A17B costs $0.60/M input and $3.60/M output via novita.
Gemini 3.1 Pro supports 1.0M tokens and Qwen3.5-397B-A17B supports 262K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (1.0M vs 262K), input pricing ($2.50 vs $0.60/M), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
Gemini 3.1 Pro is developed by Google and Qwen3.5-397B-A17B is developed by Alibaba Cloud / Qwen Team.