Model Comparison

Gemini 2.0 Flash Thinking vs Qwen3-Next-80B-A3B-InstructWhich is better in 2026?

Gemini 2.0 Flash Thinking significantly outperforms across most benchmarks.

Verdict: Gemini 2.0 Flash Thinking vs Qwen3-Next-80B-A3B-Instruct — which is better?

Gemini 2.0 Flash Thinking (by Google) and Qwen3-Next-80B-A3B-Instruct (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 2.0 Flash Thinking outperforms in 1 benchmarks (GPQA), while Qwen3-Next-80B-A3B-Instruct is better at 0 benchmarks. Gemini 2.0 Flash Thinking significantly outperforms across most benchmarks.

Choose Gemini 2.0 Flash Thinking if…

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks

Choose Qwen3-Next-80B-A3B-Instruct if…

  • you want the most recent training data — it shipped Sep 2025
  • you need open weights you can self-host or fine-tune
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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Gemini 2.0 Flash Thinking outperforms in 1 benchmarks (GPQA), while Qwen3-Next-80B-A3B-Instruct is better at 0 benchmarks.

Gemini 2.0 Flash Thinking significantly outperforms across most benchmarks.

Fri Jun 12 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only Qwen3-Next-80B-A3B-Instruct specifies input context (65,536 tokens). Only Qwen3-Next-80B-A3B-Instruct specifies output context (65,536 tokens).

Google
Gemini 2.0 Flash Thinking
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3-Next-80B-A3B-Instruct
Input65,536 tokens
Output65,536 tokens
Fri Jun 12 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 2.0 Flash Thinking supports multimodal inputs, whereas Qwen3-Next-80B-A3B-Instruct does not.

Gemini 2.0 Flash Thinking can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 2.0 Flash Thinking

Text
Images
Audio
Video

Qwen3-Next-80B-A3B-Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 2.0 Flash Thinking is licensed under a proprietary license, while Qwen3-Next-80B-A3B-Instruct uses Apache 2.0.

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

Gemini 2.0 Flash Thinking

Proprietary

Closed source

Qwen3-Next-80B-A3B-Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemini 2.0 Flash Thinking was released on 2025-01-21, while Qwen3-Next-80B-A3B-Instruct was released on 2025-09-10.

Qwen3-Next-80B-A3B-Instruct is 8 months newer than Gemini 2.0 Flash Thinking.

Gemini 2.0 Flash Thinking

Jan 21, 2025

1.4 years ago

Qwen3-Next-80B-A3B-Instruct

Sep 10, 2025

9 months ago

7mo newer

Knowledge Cutoff

When training data ends

Gemini 2.0 Flash Thinking has a documented knowledge cutoff of 2024-08-01, while Qwen3-Next-80B-A3B-Instruct's cutoff date is not specified.

We can confirm Gemini 2.0 Flash Thinking's training data extends to 2024-08-01, but cannot make a direct comparison without Qwen3-Next-80B-A3B-Instruct's cutoff date.

Gemini 2.0 Flash Thinking

Aug 2024

Qwen3-Next-80B-A3B-Instruct

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Outputs Comparison

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Key Takeaways

Google
Supports multimodal inputs
Higher GPQA score (74.2% vs 72.9%)
Alibaba Cloud / Qwen Team
Larger context window (65,536 tokens)
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 2.0 Flash Thinking
Alibaba Cloud / Qwen Team
Qwen3-Next-80B-A3B-Instruct

FAQ

Common questions about Gemini 2.0 Flash Thinking vs Qwen3-Next-80B-A3B-Instruct.

Which is better, Gemini 2.0 Flash Thinking or Qwen3-Next-80B-A3B-Instruct?

Gemini 2.0 Flash Thinking significantly outperforms across most benchmarks. Gemini 2.0 Flash Thinking is made by Google and Qwen3-Next-80B-A3B-Instruct 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 2.0 Flash Thinking compare to Qwen3-Next-80B-A3B-Instruct in benchmarks?

Gemini 2.0 Flash Thinking scores MMMU: 75.4%, GPQA: 74.2%, AIME 2024: 73.3%. Qwen3-Next-80B-A3B-Instruct scores MMLU-Redux: 90.9%, MultiPL-E: 87.8%, IFEval: 87.6%, WritingBench: 87.3%, Creative Writing v3: 85.3%.

What are the context window sizes for Gemini 2.0 Flash Thinking and Qwen3-Next-80B-A3B-Instruct?

Gemini 2.0 Flash Thinking supports an unknown number of tokens and Qwen3-Next-80B-A3B-Instruct 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 2.0 Flash Thinking and Qwen3-Next-80B-A3B-Instruct?

Key differences include multimodal support (yes vs no), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 2.0 Flash Thinking and Qwen3-Next-80B-A3B-Instruct?

Gemini 2.0 Flash Thinking is developed by Google and Qwen3-Next-80B-A3B-Instruct is developed by Alibaba Cloud / Qwen Team.

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