Model Comparison

Gemini 2.5 Pro Preview 06-05 vs Qwen3-235B-A22B-Thinking-2507Which is better in 2026?

Gemini 2.5 Pro Preview 06-05 shows notably better performance in the majority of benchmarks. Qwen3-235B-A22B-Thinking-2507 is 3.5x cheaper per token.

Verdict: Gemini 2.5 Pro Preview 06-05 vs Qwen3-235B-A22B-Thinking-2507 — which is better?

Gemini 2.5 Pro Preview 06-05 (by Google) and Qwen3-235B-A22B-Thinking-2507 (by Alibaba Cloud / Qwen Team) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Gemini 2.5 Pro Preview 06-05 outperforms in 2 benchmarks (GPQA, Humanity's Last Exam), while Qwen3-235B-A22B-Thinking-2507 is better at 1 benchmark (AIME 2025). Gemini 2.5 Pro Preview 06-05 shows notably better performance in the majority of benchmarks.

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 Preview 06-05 also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.

Choose Gemini 2.5 Pro Preview 06-05 if…

  • you want the strongest raw capability — it leads on 2 of 3 shared benchmarks
  • you process long inputs — it offers a 1,048,576 token context window

Choose Qwen3-235B-A22B-Thinking-2507 if…

  • 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

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Gemini 2.5 Pro Preview 06-05 outperforms in 2 benchmarks (GPQA, Humanity's Last Exam), while Qwen3-235B-A22B-Thinking-2507 is better at 1 benchmark (AIME 2025).

Gemini 2.5 Pro Preview 06-05 shows notably better performance in the majority of benchmarks.

Sun Jul 26 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

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

For input processing, Gemini 2.5 Pro Preview 06-05 ($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 Preview 06-05 ($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 Preview 06-05 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
Sun Jul 26 2026 • llm-stats.com
Google
Gemini 2.5 Pro Preview 06-05
Input tokens$1.25
Output tokens$10.00
Best providerGoogle
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Thinking-2507
Input tokens$0.30
Output tokens$3.00
Best providerFireworks
Notice missing or incorrect data?Start an Issue

Context Window

Maximum input and output token capacity

Gemini 2.5 Pro Preview 06-05 accepts 1,048,576 input tokens compared to Qwen3-235B-A22B-Thinking-2507's 262,144 tokens. Qwen3-235B-A22B-Thinking-2507 can generate longer responses up to 131,072 tokens, while Gemini 2.5 Pro Preview 06-05 is limited to 65,535 tokens.

Google
Gemini 2.5 Pro Preview 06-05
Input1,048,576 tokens
Output65,535 tokens
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Thinking-2507
Input262,144 tokens
Output131,072 tokens
Sun Jul 26 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 2.5 Pro Preview 06-05 supports multimodal inputs, whereas Qwen3-235B-A22B-Thinking-2507 does not.

Gemini 2.5 Pro Preview 06-05 can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 2.5 Pro Preview 06-05

Text
Images
Audio
Video

Qwen3-235B-A22B-Thinking-2507

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 2.5 Pro Preview 06-05 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 Preview 06-05

Proprietary

Closed source

Qwen3-235B-A22B-Thinking-2507

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemini 2.5 Pro Preview 06-05 was released on 2025-06-05, 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 Preview 06-05.

Gemini 2.5 Pro Preview 06-05

Jun 5, 2025

1.1 years ago

Qwen3-235B-A22B-Thinking-2507

Jul 25, 2025

1.0 years ago

1mo newer

Knowledge Cutoff

When training data ends

Gemini 2.5 Pro Preview 06-05 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 Preview 06-05'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 Preview 06-05

Jan 2025

Qwen3-235B-A22B-Thinking-2507

Provider Availability

Gemini 2.5 Pro Preview 06-05 is available from Google. Qwen3-235B-A22B-Thinking-2507 is available from Fireworks, Novita.

Gemini 2.5 Pro Preview 06-05

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?Start an Issue discussion

Key Takeaways

Larger context window (1,048,576 tokens)
Supports multimodal inputs
Higher GPQA score (86.4% vs 81.1%)
Higher Humanity's Last Exam score (21.6% vs 18.2%)
Less expensive input tokens
Less expensive output tokens
Has open weights
Higher AIME 2025 score (92.3% vs 88.0%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Gemini 2.5 Pro Preview 06-05 and Qwen3-235B-A22B-Thinking-2507 side-by-side, then vote on the output you prefer.

Gemini 2.5 Pro Preview 06-05
✓ Preferred
Qwen3-235B-A22B-Thinking-2507
Open in Playground

FAQ

Common questions about Gemini 2.5 Pro Preview 06-05 vs Qwen3-235B-A22B-Thinking-2507.

Which is better, Gemini 2.5 Pro Preview 06-05 or Qwen3-235B-A22B-Thinking-2507?

Gemini 2.5 Pro Preview 06-05 shows notably better performance in the majority of benchmarks. Gemini 2.5 Pro Preview 06-05 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 benchmark scores, pricing, and capabilities above.

How does Gemini 2.5 Pro Preview 06-05 compare to Qwen3-235B-A22B-Thinking-2507 in benchmarks?

Gemini 2.5 Pro Preview 06-05 scores Global-MMLU-Lite: 89.2%, AIME 2025: 88.0%, FACTS Grounding: 87.8%, GPQA: 86.4%, VideoMMMU: 83.6%. 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 Preview 06-05 cheaper than Qwen3-235B-A22B-Thinking-2507?

Qwen3-235B-A22B-Thinking-2507 is 4.2x cheaper for input tokens. Gemini 2.5 Pro Preview 06-05 costs $1.25/M input and $10.00/M output via google. 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 Preview 06-05 and Qwen3-235B-A22B-Thinking-2507?

Gemini 2.5 Pro Preview 06-05 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 Preview 06-05 and Qwen3-235B-A22B-Thinking-2507?

Key differences include 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 Preview 06-05 and Qwen3-235B-A22B-Thinking-2507?

Gemini 2.5 Pro Preview 06-05 is developed by Google and Qwen3-235B-A22B-Thinking-2507 is developed by Alibaba Cloud / Qwen Team.