Model Comparison

Gemini 1.0 Pro vs Qwen3-235B-A22B-Thinking-2507

Qwen3-235B-A22B-Thinking-2507 significantly outperforms across most benchmarks. Gemini 1.0 Pro is 1.3x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Gemini 1.0 Pro outperforms in 0 benchmarks, while Qwen3-235B-A22B-Thinking-2507 is better at 1 benchmark (GPQA).

Qwen3-235B-A22B-Thinking-2507 significantly outperforms across most benchmarks.

Thu May 14 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Gemini 1.0 Pro costs less

For input processing, Gemini 1.0 Pro ($0.50/1M tokens) is 1.7x more expensive than Qwen3-235B-A22B-Thinking-2507 ($0.30/1M tokens).

For output processing, Gemini 1.0 Pro ($1.50/1M tokens) is 2.0x cheaper than Qwen3-235B-A22B-Thinking-2507 ($3.00/1M tokens).

In conclusion, Qwen3-235B-A22B-Thinking-2507 is more expensive than Gemini 1.0 Pro.*

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

Lowest available price from all providers

Thu May 14 2026 • llm-stats.com

Gemini 1.0 Pro

Input tokens$0.50

Output tokens$1.50

Best providerGoogle

Qwen3-235B-A22B-Thinking-2507

Input tokens$0.30

Output tokens$3.00

Best providerFireworks

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Context Window

Maximum input and output token capacity

Qwen3-235B-A22B-Thinking-2507 accepts 262,144 input tokens compared to Gemini 1.0 Pro's 32,760 tokens. Qwen3-235B-A22B-Thinking-2507 can generate longer responses up to 131,072 tokens, while Gemini 1.0 Pro is limited to 8,192 tokens.

Gemini 1.0 Pro

Input32,760 tokens

Output8,192 tokens

Qwen3-235B-A22B-Thinking-2507

Input262,144 tokens

Output131,072 tokens

Thu May 14 2026 • llm-stats.com

License

Usage and distribution terms

Gemini 1.0 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 1.0 Pro

Proprietary

Closed source

Qwen3-235B-A22B-Thinking-2507

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemini 1.0 Pro was released on 2024-02-15, while Qwen3-235B-A22B-Thinking-2507 was released on 2025-07-25.

Qwen3-235B-A22B-Thinking-2507 is 18 months newer than Gemini 1.0 Pro.

Gemini 1.0 Pro

Feb 15, 2024

2.2 years ago

Qwen3-235B-A22B-Thinking-2507

Jul 25, 2025

9 months ago

1.4yr newer

Knowledge Cutoff

When training data ends

Gemini 1.0 Pro has a documented knowledge cutoff of 2024-02-01, while Qwen3-235B-A22B-Thinking-2507's cutoff date is not specified.

We can confirm Gemini 1.0 Pro's training data extends to 2024-02-01, but cannot make a direct comparison without Qwen3-235B-A22B-Thinking-2507's cutoff date.

Gemini 1.0 Pro

Feb 2024

Qwen3-235B-A22B-Thinking-2507

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Provider Availability

Gemini 1.0 Pro is available from Google. Qwen3-235B-A22B-Thinking-2507 is available from Fireworks, Novita.

Gemini 1.0 Pro

Google

Input Price:Input: $0.50/1MOutput Price:Output: $1.50/1M

Qwen3-235B-A22B-Thinking-2507

Fireworks

Input Price:Input: $0.30/1MOutput Price:Output: $3.00/1M

Novita

Input Price:Input: $0.30/1MOutput Price:Output: $3.00/1M

* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Gemini 1.0 Pro

View details

Google

Less expensive output tokens

Qwen3-235B-A22B-Thinking-2507

View details

Alibaba Cloud / Qwen Team

Larger context window (262,144 tokens)

Less expensive input tokens

Has open weights

Higher GPQA score (81.1% vs 27.9%)

Detailed Comparison

AI Model Comparison Table
Feature	Gemini 1.0 Pro	Qwen3-235B-A22B-Thinking-2507

FAQ

Common questions about Gemini 1.0 Pro vs Qwen3-235B-A22B-Thinking-2507.

Which is better, Gemini 1.0 Pro or Qwen3-235B-A22B-Thinking-2507?

Qwen3-235B-A22B-Thinking-2507 significantly outperforms across most benchmarks. Gemini 1.0 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 benchmark scores, pricing, and capabilities above.

How does Gemini 1.0 Pro compare to Qwen3-235B-A22B-Thinking-2507 in benchmarks?

Gemini 1.0 Pro scores BIG-Bench: 75.0%, MMLU: 71.8%, WMT23: 71.7%, EgoSchema: 55.7%, MMMU: 47.9%. 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 1.0 Pro cheaper than Qwen3-235B-A22B-Thinking-2507?

Qwen3-235B-A22B-Thinking-2507 is 1.7x cheaper for input tokens. Gemini 1.0 Pro costs $0.50/M input and $1.50/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 1.0 Pro and Qwen3-235B-A22B-Thinking-2507?

Gemini 1.0 Pro supports 33K 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 1.0 Pro and Qwen3-235B-A22B-Thinking-2507?

Key differences include context window (33K vs 262K), input pricing ($0.50 vs $0.30/M), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 1.0 Pro and Qwen3-235B-A22B-Thinking-2507?

Gemini 1.0 Pro is developed by Google and Qwen3-235B-A22B-Thinking-2507 is developed by Alibaba Cloud / Qwen Team.