Gemini 3.1 Pro vs Qwen3.8 Max
Qwen3.8 Max leads the LLM Stats Score 51.9 to 43.4. Qwen3.8 Max is 1.8x cheaper per token.
Google · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Qwen3.8 Max leads the overall LLM Stats Score 51.9 to 43.4, ranking #11 overall.
In the 7 individual benchmarks reported for both models, Qwen3.8 Max wins 5; this is a narrower head-to-head signal than the composite indexes.
On price, Qwen3.8 Max is roughly 1.8x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Gemini 3.1 Pro also accepts a larger context window (1,000,000 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Gemini 3.1 Pro
- you process long inputs — it offers a 1,000,000 token context window
Choose Qwen3.8 Max
- overall performance matters — it scores 51.9 and ranks #11 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you value its reported benchmark strengths — it wins 5 of 7 exact shared results
- cost matters — it's about 1.8x cheaper per token
- you want the most recent training data — it shipped Aug 2026
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
20 reported for Gemini 3.1 Pro · 42 for Qwen3.8 Max
Gemini 3.1 Pro outperforms in 2 benchmarks (GPQA, Humanity's Last Exam), while Qwen3.8 Max is better at 5 benchmarks (DeepSWE 1.1, FrontierSWE, MMMU-Pro, MRCR v2 (8-needle), SWE-Bench Pro).
Qwen3.8 Max shows notably better performance in the majority of benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Gemini 3.1 Pro ($2.00/1M tokens) is 1.2x more expensive than Qwen3.8 Max ($1.65/1M tokens).
For output processing, Gemini 3.1 Pro ($12.00/1M tokens) is 2.4x more expensive than Qwen3.8 Max ($4.95/1M tokens).
In conclusion, Gemini 3.1 Pro is more expensive than Qwen3.8 Max.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Gemini 3.1 Pro accepts 1,000,000 input tokens compared to Qwen3.8 Max's 256,000 tokens. Gemini 3.1 Pro can generate longer responses up to 1,000,000 tokens, while Qwen3.8 Max is limited to 256,000 tokens.
Input capabilities
Documented input modalities across available providers
Both Gemini 3.1 Pro and Qwen3.8 Max support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemini 3.1 Pro
Qwen3.8 Max
License
Usage and distribution terms
Gemini 3.1 Pro is licensed under a proprietary license, while Qwen3.8 Max uses Qwen3.8-Max License.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Qwen3.8-Max License
Open weights
Release Timeline
When each model was launched
Gemini 3.1 Pro was released on 2026-02-19, while Qwen3.8 Max was released on 2026-08-02.
Qwen3.8 Max is 5 months newer than Gemini 3.1 Pro.
Feb 19, 2026
6 months ago
Aug 2, 2026
1 months ago
5mo newerKnowledge Cutoff
When training data ends
Gemini 3.1 Pro has a documented knowledge cutoff of 2025-01-31, while Qwen3.8 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 Qwen3.8 Max's cutoff date.
Jan 2025
—
Provider Availability
Gemini 3.1 Pro is available from DeepInfra, Google. Qwen3.8 Max is available from DeepInfra, Fireworks, Novita, Together.
Gemini 3.1 Pro
Qwen3.8 Max
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemini 3.1 Pro and Qwen3.8 Max side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemini 3.1 Pro vs Qwen3.8 Max.