Model Comparison

Gemini 3.1 Pro vs Qwen3.7 Max

Gemini 3.1 Pro shows notably better performance in the majority of benchmarks. Qwen3.7 Max is 3.0x cheaper per token.

Performance Benchmarks

Comparative analysis across standard metrics

8 benchmarks

Gemini 3.1 Pro outperforms in 5 benchmarks (GPQA, Humanity's Last Exam, MMMLU, SciCode, SWE-Bench Verified), while Qwen3.7 Max is better at 3 benchmarks (MCP Atlas, SWE-Bench Pro, Terminal-Bench 2.0).

Gemini 3.1 Pro shows notably better performance in the majority of benchmarks.

Tue May 26 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Qwen3.7 Max costs less

For input processing, Gemini 3.1 Pro ($2.50/1M tokens) is 2.0x more expensive than Qwen3.7 Max ($1.25/1M tokens).

For output processing, Gemini 3.1 Pro ($15.00/1M tokens) is 4.0x more expensive than Qwen3.7 Max ($3.75/1M tokens).

In conclusion, Gemini 3.1 Pro is more expensive than Qwen3.7 Max.*

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

Lowest available price from all providers
Tue May 26 2026 • llm-stats.com
Google
Gemini 3.1 Pro
Input tokens$2.50
Output tokens$15.00
Best providerGoogle
Alibaba Cloud / Qwen Team
Qwen3.7 Max
Input tokens$1.25
Output tokens$3.75
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 Qwen3.7 Max's 1,000,000 tokens. Both models can generate responses up to 65,536 tokens.

Google
Gemini 3.1 Pro
Input1,048,576 tokens
Output65,536 tokens
Alibaba Cloud / Qwen Team
Qwen3.7 Max
Input1,000,000 tokens
Output65,536 tokens
Tue May 26 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 3.1 Pro supports multimodal inputs, whereas Qwen3.7 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

Qwen3.7 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

Qwen3.7 Max

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 3.1 Pro was released on 2026-02-19, while Qwen3.7 Max was released on 2026-05-19.

Qwen3.7 Max is 3 months newer than Gemini 3.1 Pro.

Gemini 3.1 Pro

Feb 19, 2026

3 months ago

Qwen3.7 Max

May 19, 2026

1 weeks ago

2mo newer

Knowledge Cutoff

When training data ends

Gemini 3.1 Pro has a documented knowledge cutoff of 2025-01-31, while Qwen3.7 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 Qwen3.7 Max's cutoff date.

Gemini 3.1 Pro

Jan 2025

Qwen3.7 Max

Provider Availability

Gemini 3.1 Pro is available from Google. Qwen3.7 Max is available from Novita, Together.

Gemini 3.1 Pro

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

Qwen3.7 Max

novita logo
Novita
Input Price:Input: $1.25/1MOutput Price:Output: $3.75/1M
together logo
Together
Input Price:Input: $2.50/1MOutput Price:Output: $7.50/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Key Takeaways

Larger context window (1,048,576 tokens)
Supports multimodal inputs
Higher GPQA score (94.3% vs 92.4%)
Higher Humanity's Last Exam score (51.4% vs 41.4%)
Higher MMMLU score (92.6% vs 90.3%)
Higher SciCode score (59.0% vs 53.5%)
Higher SWE-Bench Verified score (80.6% vs 80.4%)
Alibaba Cloud / Qwen Team

Qwen3.7 Max

View details

Alibaba Cloud / Qwen Team

Less expensive input tokens
Less expensive output tokens
Higher MCP Atlas score (76.4% vs 69.2%)
Higher SWE-Bench Pro score (60.6% vs 54.2%)
Higher Terminal-Bench 2.0 score (69.7% vs 68.5%)

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 3.1 Pro
Alibaba Cloud / Qwen Team
Qwen3.7 Max

FAQ

Common questions about Gemini 3.1 Pro vs Qwen3.7 Max.

Which is better, Gemini 3.1 Pro or Qwen3.7 Max?

Gemini 3.1 Pro shows notably better performance in the majority of benchmarks. Gemini 3.1 Pro is made by Google and Qwen3.7 Max is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Gemini 3.1 Pro compare to Qwen3.7 Max in benchmarks?

Gemini 3.1 Pro scores t2-bench: 99.3%, LiveCodeBench Pro: 96.2%, GPQA: 94.3%, MMMLU: 92.6%, BrowseComp: 85.9%. Qwen3.7 Max scores HMMT Feb 26: 97.1%, Kernel Bench L3: 96.0%, MMLU-Redux: 95.0%, IFEval: 94.3%, GPQA: 92.4%.

Is Gemini 3.1 Pro cheaper than Qwen3.7 Max?

Qwen3.7 Max is 2.0x cheaper for input tokens. Gemini 3.1 Pro costs $2.50/M input and $15.00/M output via google. Qwen3.7 Max costs $1.25/M input and $3.75/M output via novita.

What are the context window sizes for Gemini 3.1 Pro and Qwen3.7 Max?

Gemini 3.1 Pro supports 1.0M tokens and Qwen3.7 Max supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemini 3.1 Pro and Qwen3.7 Max?

Key differences include context window (1.0M vs 1.0M), input pricing ($2.50 vs $1.25/M), multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 3.1 Pro and Qwen3.7 Max?

Gemini 3.1 Pro is developed by Google and Qwen3.7 Max is developed by Alibaba Cloud / Qwen Team.