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Gemini 2.5 Pro vs Qwen3-235B-A22B-Thinking-2507

Gemini 2.5 Pro and Qwen3-235B-A22B-Thinking-2507 are closely matched at 27.8 and 28.0 on the LLM Stats Score. Qwen3-235B-A22B-Thinking-2507 is 3.5x cheaper per token.

Google · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Gemini 2.5 Pro and Qwen3-235B-A22B-Thinking-2507 are closely matched on the overall LLM Stats Score at 27.8 and 28.0.

In the 3 individual benchmarks reported for both models, Qwen3-235B-A22B-Thinking-2507 wins 2; this is a narrower head-to-head signal than the composite indexes.

On price, Qwen3-235B-A22B-Thinking-2507 is roughly 3.5x 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 process long inputs — it offers a 1,000,000 token context window

Choose Qwen3-235B-A22B-Thinking-2507

  • you value its reported benchmark strengths — it wins 2 of 3 exact shared results
  • cost matters — it's about 3.5x cheaper per token
  • you want the most recent training data — it shipped Jul 2025
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Gemini 2.5 Pro
Google
Qwen3-235B-A22B-Thinking-2507
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
27.8
#145
28.0
#143
Reasoning
27.2
#146
28.4
#136
Cost, coverage & limits
Benchmark wins
1 of 3
2 of 3
Input price
$1.25 / M
$0.30 / M
Output price
$10.00 / M
$3.00 / M
Context window
1,000,000
262,144

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
Gemini 2.5 Pro
Qwen3-235B-A22B-Thinking-2507
Math
22.6#137
31.3#71
Vision
16.1#94
12.1#112
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

16 reported for Gemini 2.5 Pro · 25 for Qwen3-235B-A22B-Thinking-2507

3 shared

Gemini 2.5 Pro outperforms in 1 benchmarks (GPQA), while Qwen3-235B-A22B-Thinking-2507 is better at 2 benchmarks (AIME 2025, Humanity's Last Exam).

Qwen3-235B-A22B-Thinking-2507 shows notably better performance in the majority of benchmarks.

Fri Oct 02 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Qwen3-235B-A22B-Thinking-2507 costs less

For input processing, Gemini 2.5 Pro ($1.25/1M tokens) is 4.2x more expensive than Qwen3-235B-A22B-Thinking-2507 ($0.30/1M tokens).

For output processing, Gemini 2.5 Pro ($10.00/1M tokens) is 3.3x more expensive than Qwen3-235B-A22B-Thinking-2507 ($3.00/1M tokens).

In conclusion, Gemini 2.5 Pro is more expensive than Qwen3-235B-A22B-Thinking-2507.*

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

Lowest available price from all providers
Fri Oct 02 2026 • llm-stats.com
Google
Gemini 2.5 Pro
Input tokens$1.25
Output tokens$10.00
Best providerDeepinfra
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Thinking-2507
Input tokens$0.30
Output tokens$3.00
Best providerFireworks
Notice missing or incorrect data?

Context Window

Maximum input and output token capacity

Gemini 2.5 Pro accepts 1,000,000 input tokens compared to Qwen3-235B-A22B-Thinking-2507's 262,144 tokens. Gemini 2.5 Pro can generate longer responses up to 1,000,000 tokens, while Qwen3-235B-A22B-Thinking-2507 is limited to 131,072 tokens.

Google
Gemini 2.5 Pro
Input1,000,000 tokens
Output1,000,000 tokens
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Thinking-2507
Input262,144 tokens
Output131,072 tokens
Fri Oct 02 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Gemini 2.5 Pro supports multimodal inputs, whereas Qwen3-235B-A22B-Thinking-2507 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

Text
Images
Audio
Video

Qwen3-235B-A22B-Thinking-2507

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 2.5 Pro is licensed under a proprietary license, while Qwen3-235B-A22B-Thinking-2507 uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

Gemini 2.5 Pro

Proprietary

Closed source

Qwen3-235B-A22B-Thinking-2507

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemini 2.5 Pro was released on 2025-05-20, while Qwen3-235B-A22B-Thinking-2507 was released on 2025-07-25.

Qwen3-235B-A22B-Thinking-2507 is 2 months newer than Gemini 2.5 Pro.

Gemini 2.5 Pro

May 20, 2025

1.4 years ago

Qwen3-235B-A22B-Thinking-2507

Jul 25, 2025

1.2 years ago

2mo newer

Knowledge Cutoff

When training data ends

Gemini 2.5 Pro has a documented knowledge cutoff of 2025-01-31, while Qwen3-235B-A22B-Thinking-2507'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 Qwen3-235B-A22B-Thinking-2507's cutoff date.

Gemini 2.5 Pro

Jan 2025

Qwen3-235B-A22B-Thinking-2507

—

Provider Availability

Gemini 2.5 Pro is available from DeepInfra, Google. Qwen3-235B-A22B-Thinking-2507 is available from Fireworks, Novita.

Gemini 2.5 Pro

deepinfra logo
Deepinfra
Input Price:Input: $1.25/1MOutput Price:Output: $10.00/1M
google logo
Google
Input Price:Input: $1.25/1MOutput Price:Output: $10.00/1M

Qwen3-235B-A22B-Thinking-2507

fireworks logo
Fireworks
Input Price:Input: $0.30/1MOutput Price:Output: $3.00/1M
novita logo
Novita
Input Price:Input: $0.30/1MOutput Price:Output: $3.00/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Gemini 2.5 Pro and Qwen3-235B-A22B-Thinking-2507 side-by-side, then vote on the output you prefer.

Gemini 2.5 Pro
✓ Preferred
Qwen3-235B-A22B-Thinking-2507
Open in Playground

FAQ

Common questions about Gemini 2.5 Pro vs Qwen3-235B-A22B-Thinking-2507.

Which is better, Gemini 2.5 Pro or Qwen3-235B-A22B-Thinking-2507?

Gemini 2.5 Pro and Qwen3-235B-A22B-Thinking-2507 are closely matched on the LLM Stats Score at 27.8 and 28.0. Gemini 2.5 Pro is made by Google and Qwen3-235B-A22B-Thinking-2507 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 2.5 Pro compare to Qwen3-235B-A22B-Thinking-2507 in benchmarks?

Gemini 2.5 Pro scores MRCR: 93.0%, AIME 2024: 92.0%, Global-MMLU-Lite: 88.6%, Video-MME: 84.8%, AIME 2025: 83.0%. Qwen3-235B-A22B-Thinking-2507 scores MMLU-Redux: 93.8%, AIME 2025: 92.3%, WritingBench: 88.3%, IFEval: 87.8%, Creative Writing v3: 86.1%.

Is Gemini 2.5 Pro cheaper than Qwen3-235B-A22B-Thinking-2507?

Qwen3-235B-A22B-Thinking-2507 is 4.2x cheaper for input tokens. Gemini 2.5 Pro costs $1.25/M input and $10.00/M output via deepinfra. Qwen3-235B-A22B-Thinking-2507 costs $0.30/M input and $3.00/M output via fireworks.

What are the context window sizes for Gemini 2.5 Pro and Qwen3-235B-A22B-Thinking-2507?

Gemini 2.5 Pro supports 1.0M tokens and Qwen3-235B-A22B-Thinking-2507 supports 262K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemini 2.5 Pro and Qwen3-235B-A22B-Thinking-2507?

Key differences include LLM Stats Score (27.8 vs 28.0), context window (1.0M vs 262K), input pricing ($1.25 vs $0.30/M), multimodal support (yes vs no), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 2.5 Pro and Qwen3-235B-A22B-Thinking-2507?

Gemini 2.5 Pro is developed by Google and Qwen3-235B-A22B-Thinking-2507 is developed by Alibaba Cloud / Qwen Team.

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