Gemini 2.5 Pro vs Qwen3 Max
Gemini 2.5 Pro and Qwen3 Max are closely matched at 27.8 and 21.7 on the LLM Stats Score. Qwen3 Max is 2.1x cheaper per token.
Google · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Gemini 2.5 Pro and Qwen3 Max are closely matched on the overall LLM Stats Score at 27.8 and 21.7.
In the 3 individual benchmarks reported for both models, Gemini 2.5 Pro wins 2; this is a narrower head-to-head signal than the composite indexes.
On price, Qwen3 Max is roughly 2.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Gemini 2.5 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 2.5 Pro
- you value its reported benchmark strengths — it wins 2 of 3 exact shared results
- you process long inputs — it offers a 1,000,000 token context window
Choose Qwen3 Max
- cost matters — it's about 2.1x cheaper per token
- you want the most recent training data — it shipped Dec 2025
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
16 reported for Gemini 2.5 Pro · 6 for Qwen3 Max
Gemini 2.5 Pro outperforms in 2 benchmarks (AIME 2025, GPQA), while Qwen3 Max is better at 1 benchmark (SWE-Bench Verified).
Gemini 2.5 Pro 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 2.5 Pro ($1.25/1M tokens) is 2.5x more expensive than Qwen3 Max ($0.50/1M tokens).
For output processing, Gemini 2.5 Pro ($10.00/1M tokens) is 2.0x more expensive than Qwen3 Max ($5.00/1M tokens).
In conclusion, Gemini 2.5 Pro is more expensive than Qwen3 Max.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Gemini 2.5 Pro accepts 1,000,000 input tokens compared to Qwen3 Max's 256,000 tokens. Gemini 2.5 Pro can generate longer responses up to 1,000,000 tokens, while Qwen3 Max is limited to 131,072 tokens.
Input capabilities
Documented input modalities across available providers
Gemini 2.5 Pro supports multimodal inputs, whereas Qwen3 Max does not.
Gemini 2.5 Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.
Gemini 2.5 Pro
Qwen3 Max
License
Usage and distribution terms
Both models are licensed under proprietary licenses.
Both models have usage restrictions defined by their respective organizations.
Proprietary
Closed source
Proprietary
Closed source
Release Timeline
When each model was launched
Gemini 2.5 Pro was released on 2025-05-20, while Qwen3 Max was released on 2025-12-15.
Qwen3 Max is 7 months newer than Gemini 2.5 Pro.
May 20, 2025
1.3 years ago
Dec 15, 2025
9 months ago
6mo newerKnowledge Cutoff
When training data ends
Gemini 2.5 Pro has a documented knowledge cutoff of 2025-01-31, while Qwen3 Max's cutoff date is not specified.
We can confirm Gemini 2.5 Pro's training data extends to 2025-01-31, but cannot make a direct comparison without Qwen3 Max's cutoff date.
Jan 2025
—
Provider Availability
Gemini 2.5 Pro is available from DeepInfra, Google. Qwen3 Max is available from Novita, DeepInfra.
Gemini 2.5 Pro
Qwen3 Max
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemini 2.5 Pro and Qwen3 Max side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemini 2.5 Pro vs Qwen3 Max.