Model Comparison

Gemini 3.1 Pro vs Qwen3 Max

Gemini 3.1 Pro significantly outperforms across most benchmarks. Qwen3 Max is 3.5x cheaper per token.

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Gemini 3.1 Pro outperforms in 3 benchmarks (GPQA, SWE-Bench Verified, t2-bench), while Qwen3 Max 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 Max costs less

For input processing, Gemini 3.1 Pro ($2.50/1M tokens) is 5.0x more expensive than Qwen3 Max ($0.50/1M tokens).

For output processing, Gemini 3.1 Pro ($15.00/1M tokens) is 3.0x more expensive than Qwen3 Max ($5.00/1M tokens).

In conclusion, Gemini 3.1 Pro is more expensive than Qwen3 Max.*

* 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 Max
Input tokens$0.50
Output tokens$5.00
Best providerNovita
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Context Window

Maximum input and output token capacity

Gemini 3.1 Pro accepts 1,048,576 input tokens compared to Qwen3 Max's 256,000 tokens. Qwen3 Max can generate longer responses up to 131,072 tokens, while Gemini 3.1 Pro is limited to 65,536 tokens.

Google
Gemini 3.1 Pro
Input1,048,576 tokens
Output65,536 tokens
Alibaba Cloud / Qwen Team
Qwen3 Max
Input256,000 tokens
Output131,072 tokens
Tue Apr 07 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 3.1 Pro supports multimodal inputs, whereas Qwen3 Max does not.

Gemini 3.1 Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 3.1 Pro

Text
Images
Audio
Video

Qwen3 Max

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under proprietary licenses.

Both models have usage restrictions defined by their respective organizations.

Gemini 3.1 Pro

Proprietary

Closed source

Qwen3 Max

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 3.1 Pro was released on 2026-02-19, while Qwen3 Max was released on 2025-12-15.

Gemini 3.1 Pro is 2 months newer than Qwen3 Max.

Gemini 3.1 Pro

Feb 19, 2026

1 months ago

2mo newer
Qwen3 Max

Dec 15, 2025

3 months ago

Knowledge Cutoff

When training data ends

Gemini 3.1 Pro has a documented knowledge cutoff of 2025-01-31, while Qwen3 Max'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 Max's cutoff date.

Gemini 3.1 Pro

Jan 2025

Qwen3 Max

Provider Availability

Gemini 3.1 Pro is available from Google. Qwen3 Max is available from Novita.

Gemini 3.1 Pro

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

Qwen3 Max

novita logo
Novita
Input Price:Input: $0.50/1MOutput Price:Output: $5.00/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Larger context window (1,048,576 tokens)
Supports multimodal inputs
Higher GPQA score (94.3% vs 62.0%)
Higher SWE-Bench Verified score (80.6% vs 69.6%)
Higher t2-bench score (99.3% vs 74.8%)
Alibaba Cloud / Qwen Team

Qwen3 Max

View details

Alibaba Cloud / Qwen Team

Less expensive input tokens
Less expensive output tokens

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 3.1 Pro
Alibaba Cloud / Qwen Team
Qwen3 Max

FAQ

Common questions about Gemini 3.1 Pro vs Qwen3 Max

Gemini 3.1 Pro significantly outperforms across most benchmarks. Gemini 3.1 Pro is made by Google and Qwen3 Max 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 Max scores AIME 2025: 81.6%, t2-bench: 74.8%, SWE-Bench Verified: 69.6%, LiveCodeBench v6: 69.0%, SuperGPQA: 65.1%.
Qwen3 Max is 5.0x cheaper for input tokens. Gemini 3.1 Pro costs $2.50/M input and $15.00/M output via google. Qwen3 Max costs $0.50/M input and $5.00/M output via novita.
Gemini 3.1 Pro supports 1.0M tokens and Qwen3 Max supports 256K 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 256K), input pricing ($2.50 vs $0.50/M), multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.
Gemini 3.1 Pro is developed by Google and Qwen3 Max is developed by Alibaba Cloud / Qwen Team.