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Gemini 3 Pro vs Qwen3 Max Thinking

Gemini 3 Pro leads the LLM Stats Score 38.6 to 33.0. Qwen3 Max Thinking is 1.9x cheaper per token.

Google · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Gemini 3 Pro leads the overall LLM Stats Score 38.6 to 33.0, ranking #63 overall.

In the 5 individual benchmarks reported for both models, Gemini 3 Pro wins 5; this is a narrower head-to-head signal than the composite indexes.

On price, Qwen3 Max Thinking is roughly 1.9x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Gemini 3 Pro also accepts a larger context window (1,048,576 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 Pro

  • overall performance matters — it scores 38.6 and ranks #63 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 5 of 5 exact shared results
  • you process long inputs — it offers a 1,048,576 token context window

Choose Qwen3 Max Thinking

  • cost matters — it's about 1.9x cheaper per token
  • you want the most recent training data — it shipped Feb 2026

At a glance

The differences that matter most.

Core performance indexes
38.6
#63
33.0
#101
38.6
#60
34.1
#90
24.6
#70
16.4
#124
15.5
#84
10.3
#115
Cost, coverage & limits
Benchmark wins
5 of 5
0 of 5
Input price
$2.00 / M
$1.20 / M
Output price
$12.00 / M
$6.00 / M
Context window
1,048,576
256,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
Gemini 3 Pro
Qwen3 Max Thinking
37.2#31
32.2#62
14.0#93
3.5#161
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

21 reported for Gemini 3 Pro · 34 for Qwen3 Max Thinking

5 shared

Gemini 3 Pro outperforms in 5 benchmarks (Global PIQA, GPQA, MMMLU, SWE-Bench Verified, Terminal-Bench 2.0), while Qwen3 Max Thinking is better at 0 benchmarks.

Gemini 3 Pro significantly outperforms across most benchmarks.

Wed Sep 09 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Qwen3 Max Thinking costs less

For input processing, Gemini 3 Pro ($2.00/1M tokens) is 1.7x more expensive than Qwen3 Max Thinking ($1.20/1M tokens).

For output processing, Gemini 3 Pro ($12.00/1M tokens) is 2.0x more expensive than Qwen3 Max Thinking ($6.00/1M tokens).

In conclusion, Gemini 3 Pro is more expensive than Qwen3 Max Thinking.*

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

Lowest available price from all providers
Wed Sep 09 2026 • llm-stats.com
Google
Gemini 3 Pro
Input tokens$2.00
Output tokens$12.00
Best providerGoogle
Alibaba Cloud / Qwen Team
Qwen3 Max Thinking
Input tokens$1.20
Output tokens$6.00
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue

Context Window

Maximum input and output token capacity

Gemini 3 Pro accepts 1,048,576 input tokens compared to Qwen3 Max Thinking's 256,000 tokens. Qwen3 Max Thinking can generate longer responses up to 256,000 tokens, while Gemini 3 Pro is limited to 65,536 tokens.

Google
Gemini 3 Pro
Input1,048,576 tokens
Output65,536 tokens
Alibaba Cloud / Qwen Team
Qwen3 Max Thinking
Input256,000 tokens
Output256,000 tokens
Wed Sep 09 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Gemini 3 Pro supports multimodal inputs, whereas Qwen3 Max Thinking does not.

Gemini 3 Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 3 Pro

Text
Images
Audio
Video

Qwen3 Max Thinking

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 Pro

Proprietary

Closed source

Qwen3 Max Thinking

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 3 Pro was released on 2025-11-18, while Qwen3 Max Thinking was released on 2026-02-13.

Qwen3 Max Thinking is 3 months newer than Gemini 3 Pro.

Gemini 3 Pro

Nov 18, 2025

9 months ago

Qwen3 Max Thinking

Feb 13, 2026

6 months ago

2mo newer

Knowledge Cutoff

When training data ends

Gemini 3 Pro has a documented knowledge cutoff of 2025-01-31, while Qwen3 Max Thinking's cutoff date is not specified.

We can confirm Gemini 3 Pro's training data extends to 2025-01-31, but cannot make a direct comparison without Qwen3 Max Thinking's cutoff date.

Gemini 3 Pro

Jan 2025

Qwen3 Max Thinking

Provider Availability

Gemini 3 Pro is available from Google. Qwen3 Max Thinking is available from DeepInfra.

Gemini 3 Pro

google logo
Google
Input Price:Input: $2.00/1MOutput Price:Output: $12.00/1M

Qwen3 Max Thinking

deepinfra logo
Deepinfra
Input Price:Input: $1.20/1MOutput Price:Output: $6.00/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against Gemini 3 Pro and Qwen3 Max Thinking side-by-side, then vote on the output you prefer.

Gemini 3 Pro
✓ Preferred
Qwen3 Max Thinking
Open in Playground

FAQ

Common questions about Gemini 3 Pro vs Qwen3 Max Thinking.

Which is better, Gemini 3 Pro or Qwen3 Max Thinking?

Gemini 3 Pro leads the LLM Stats Score 38.6 to 33.0. Gemini 3 Pro is made by Google and Qwen3 Max Thinking is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Gemini 3 Pro compare to Qwen3 Max Thinking in benchmarks?

Gemini 3 Pro scores AIME 2025: 100.0%, Vending-Bench 2: 100.0%, Global PIQA: 93.4%, GPQA: 91.9%, MMMLU: 91.8%. Qwen3 Max Thinking scores C-Eval: 93.7%, IFEval: 93.4%, AIME 2026: 93.3%, MMLU-Redux: 92.8%, GPQA: 87.4%.

Is Gemini 3 Pro cheaper than Qwen3 Max Thinking?

Qwen3 Max Thinking is 1.7x cheaper for input tokens. Gemini 3 Pro costs $2.00/M input and $12.00/M output via google. Qwen3 Max Thinking costs $1.20/M input and $6.00/M output via deepinfra.

What are the context window sizes for Gemini 3 Pro and Qwen3 Max Thinking?

Gemini 3 Pro supports 1.0M tokens and Qwen3 Max Thinking supports 256K 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 Pro and Qwen3 Max Thinking?

Key differences include LLM Stats Score (38.6 vs 33.0), context window (1.0M vs 256K), input pricing ($2.00 vs $1.20/M), multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 3 Pro and Qwen3 Max Thinking?

Gemini 3 Pro is developed by Google and Qwen3 Max Thinking is developed by Alibaba Cloud / Qwen Team.