Model Comparison

Gemini 2.5 Pro vs Qwen3-Next-80B-A3B-Thinking

Both models are evenly matched across the benchmarks. Qwen3-Next-80B-A3B-Thinking is 7.1x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Gemini 2.5 Pro outperforms in 1 benchmarks (GPQA), while Qwen3-Next-80B-A3B-Thinking is better at 1 benchmark (AIME 2025).

Both models are evenly matched across the benchmarks.

Sun May 10 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Qwen3-Next-80B-A3B-Thinking costs less

For input processing, Gemini 2.5 Pro ($1.25/1M tokens) is 8.3x more expensive than Qwen3-Next-80B-A3B-Thinking ($0.15/1M tokens).

For output processing, Gemini 2.5 Pro ($10.00/1M tokens) is 6.7x more expensive than Qwen3-Next-80B-A3B-Thinking ($1.50/1M tokens).

In conclusion, Gemini 2.5 Pro is more expensive than Qwen3-Next-80B-A3B-Thinking.*

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

Lowest available price from all providers

Sun May 10 2026 • llm-stats.com

Gemini 2.5 Pro

Input tokens$1.25

Output tokens$10.00

Best providerGoogle

Qwen3-Next-80B-A3B-Thinking

Input tokens$0.15

Output tokens$1.50

Best providerNovita

Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Gemini 2.5 Pro accepts 1,048,576 input tokens compared to Qwen3-Next-80B-A3B-Thinking's 65,536 tokens. Both models can generate responses up to 65,536 tokens.

Gemini 2.5 Pro

Input1,048,576 tokens

Output65,536 tokens

Qwen3-Next-80B-A3B-Thinking

Input65,536 tokens

Output65,536 tokens

Sun May 10 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 2.5 Pro supports multimodal inputs, whereas Qwen3-Next-80B-A3B-Thinking 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-Next-80B-A3B-Thinking

Text

Images

Audio

Video

License

Usage and distribution terms

Gemini 2.5 Pro is licensed under a proprietary license, while Qwen3-Next-80B-A3B-Thinking 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-Next-80B-A3B-Thinking

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemini 2.5 Pro was released on 2025-05-20, while Qwen3-Next-80B-A3B-Thinking was released on 2025-09-10.

Qwen3-Next-80B-A3B-Thinking is 4 months newer than Gemini 2.5 Pro.

Gemini 2.5 Pro

May 20, 2025

11 months ago

Qwen3-Next-80B-A3B-Thinking

Sep 10, 2025

8 months ago

3mo newer

Knowledge Cutoff

When training data ends

Gemini 2.5 Pro has a documented knowledge cutoff of 2025-01-31, while Qwen3-Next-80B-A3B-Thinking'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-Next-80B-A3B-Thinking's cutoff date.

Gemini 2.5 Pro

Jan 2025

Qwen3-Next-80B-A3B-Thinking

—

Provider Availability

Gemini 2.5 Pro is available from Google. Qwen3-Next-80B-A3B-Thinking is available from Novita.

Gemini 2.5 Pro

Google

Input Price:Input: $1.25/1MOutput Price:Output: $10.00/1M

Qwen3-Next-80B-A3B-Thinking

Novita

Input Price:Input: $0.15/1MOutput Price:Output: $1.50/1M

* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Gemini 2.5 Pro

View details

Google

Larger context window (1,048,576 tokens)

Supports multimodal inputs

Higher GPQA score (83.0% vs 77.2%)

Qwen3-Next-80B-A3B-Thinking

View details

Alibaba Cloud / Qwen Team

Less expensive input tokens

Less expensive output tokens

Has open weights

Higher AIME 2025 score (87.8% vs 83.0%)

Gemini 2.5 Pro

Qwen3-Next-80B-A3B-Thinking

Compare in Playground

Detailed Comparison

AI Model Comparison Table
Feature	Gemini 2.5 Pro	Qwen3-Next-80B-A3B-Thinking

FAQ

Common questions about Gemini 2.5 Pro vs Qwen3-Next-80B-A3B-Thinking.

Which is better, Gemini 2.5 Pro or Qwen3-Next-80B-A3B-Thinking?

Both models are evenly matched across the benchmarks. Gemini 2.5 Pro is made by Google and Qwen3-Next-80B-A3B-Thinking 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 compare to Qwen3-Next-80B-A3B-Thinking 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-Next-80B-A3B-Thinking scores MMLU-Redux: 92.5%, IFEval: 88.9%, AIME 2025: 87.8%, WritingBench: 84.6%, MMLU-Pro: 82.7%.

Is Gemini 2.5 Pro cheaper than Qwen3-Next-80B-A3B-Thinking?

Qwen3-Next-80B-A3B-Thinking is 8.3x cheaper for input tokens. Gemini 2.5 Pro costs $1.25/M input and $10.00/M output via google. Qwen3-Next-80B-A3B-Thinking costs $0.15/M input and $1.50/M output via novita.

What are the context window sizes for Gemini 2.5 Pro and Qwen3-Next-80B-A3B-Thinking?

Gemini 2.5 Pro supports 1.0M tokens and Qwen3-Next-80B-A3B-Thinking supports 66K 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-Next-80B-A3B-Thinking?

Key differences include context window (1.0M vs 66K), input pricing ($1.25 vs $0.15/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-Next-80B-A3B-Thinking?

Gemini 2.5 Pro is developed by Google and Qwen3-Next-80B-A3B-Thinking is developed by Alibaba Cloud / Qwen Team.