Model Comparison

Qwen3-Next-80B-A3B-Thinking vs Qwen3 VL 32B ThinkingWhich is better in 2026?

Qwen3-Next-80B-A3B-Thinking significantly outperforms across most benchmarks.

Verdict: Qwen3-Next-80B-A3B-Thinking vs Qwen3 VL 32B Thinking — which is better?

Qwen3-Next-80B-A3B-Thinking (by Alibaba Cloud / Qwen Team) and Qwen3 VL 32B Thinking (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.

Qwen3-Next-80B-A3B-Thinking outperforms in 13 benchmarks (AIME 2025, Arena-Hard v2, BFCL-v3, GPQA, IFEval, Include, LiveBench 20241125, LiveCodeBench v6, MMLU-Pro, MMLU-ProX, MMLU-Redux, PolyMATH, SuperGPQA), while Qwen3 VL 32B Thinking is better at 2 benchmarks (Multi-IF, WritingBench). Qwen3-Next-80B-A3B-Thinking significantly outperforms across most benchmarks.

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

you want the strongest raw capability — it leads on 13 of 15 shared benchmarks

Choose Qwen3 VL 32B Thinking if…

you want the most recent training data — it shipped Sep 2025

Performance Benchmarks

Comparative analysis across standard metrics

15 benchmarks

Qwen3-Next-80B-A3B-Thinking significantly outperforms across most benchmarks.

Fri Aug 07 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

47.0B diff

Qwen3-Next-80B-A3B-Thinking has 47.0B more parameters than Qwen3 VL 32B Thinking, making it 142.4% larger.

Qwen3-Next-80B-A3B-Thinking

80.0Bparameters

Qwen3 VL 32B Thinking

33.0Bparameters

80.0B

Qwen3-Next-80B-A3B-Thinking

33.0B

Qwen3 VL 32B Thinking

Context Window

Maximum input and output token capacity

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

Qwen3-Next-80B-A3B-Thinking

Input65,536 tokens

Output65,536 tokens

Qwen3 VL 32B Thinking

Input- tokens

Output- tokens

Fri Aug 07 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Qwen3 VL 32B Thinking supports multimodal inputs, whereas Qwen3-Next-80B-A3B-Thinking does not.

Qwen3 VL 32B Thinking can handle both text and other forms of data like images, making it suitable for multimodal applications.

Qwen3-Next-80B-A3B-Thinking

Text

Images

Audio

Video

Qwen3 VL 32B Thinking

Text

Images

Audio

Video

License

Usage and distribution terms

Both models are licensed under Apache 2.0.

Both models share the same licensing terms, providing consistent usage rights.

Qwen3-Next-80B-A3B-Thinking

Apache 2.0

Open weights

Qwen3 VL 32B Thinking

Apache 2.0

Open weights

Release Timeline

When each model was launched

Qwen3-Next-80B-A3B-Thinking was released on 2025-09-10, while Qwen3 VL 32B Thinking was released on 2025-09-22.

Qwen3 VL 32B Thinking is 0 month newer than Qwen3-Next-80B-A3B-Thinking.

Qwen3-Next-80B-A3B-Thinking

Sep 10, 2025

11 months ago

Qwen3 VL 32B Thinking

Sep 22, 2025

10 months ago

1w newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Qwen3-Next-80B-A3B-Thinking

View details

Alibaba Cloud / Qwen Team

Larger context window (65,536 tokens)

Higher AIME 2025 score (87.8% vs 83.7%)

Higher Arena-Hard v2 score (62.3% vs 60.5%)

Higher BFCL-v3 score (72.0% vs 71.7%)

Higher GPQA score (77.2% vs 73.1%)

Higher IFEval score (88.9% vs 87.8%)

Higher Include score (78.9% vs 76.3%)

Higher LiveBench 20241125 score (76.6% vs 74.7%)

Higher LiveCodeBench v6 score (68.7% vs 65.6%)

Higher MMLU-Pro score (82.7% vs 82.1%)

Higher MMLU-ProX score (78.7% vs 77.2%)

Higher MMLU-Redux score (92.5% vs 91.9%)

Higher PolyMATH score (56.3% vs 52.0%)

Higher SuperGPQA score (60.8% vs 59.0%)

Qwen3 VL 32B Thinking

View details

Alibaba Cloud / Qwen Team

Supports multimodal inputs

Higher Multi-IF score (78.0% vs 77.8%)

Higher WritingBench score (86.2% vs 84.6%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Qwen3-Next-80B-A3B-Thinking and Qwen3 VL 32B Thinking side-by-side, then vote on the output you prefer.

Qwen3-Next-80B-A3B-Thinking

✓ Preferred

Qwen3 VL 32B Thinking

Open in Playground

AI Model Comparison Table
Feature	Qwen3-Next-80B-A3B-Thinking	Qwen3 VL 32B Thinking

FAQ

Common questions about Qwen3-Next-80B-A3B-Thinking vs Qwen3 VL 32B Thinking.

Which is better, Qwen3-Next-80B-A3B-Thinking or Qwen3 VL 32B Thinking?

Qwen3-Next-80B-A3B-Thinking significantly outperforms across most benchmarks. Qwen3-Next-80B-A3B-Thinking is made by Alibaba Cloud / Qwen Team and Qwen3 VL 32B 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 Qwen3-Next-80B-A3B-Thinking compare to Qwen3 VL 32B Thinking in benchmarks?

Qwen3-Next-80B-A3B-Thinking scores MMLU-Redux: 92.5%, IFEval: 88.9%, AIME 2025: 87.8%, WritingBench: 84.6%, MMLU-Pro: 82.7%. Qwen3 VL 32B Thinking scores DocVQAtest: 96.1%, ScreenSpot: 95.7%, MMLU-Redux: 91.9%, MMBench-V1.1: 90.8%, CharXiv-D: 90.2%.

What are the context window sizes for Qwen3-Next-80B-A3B-Thinking and Qwen3 VL 32B Thinking?

Qwen3-Next-80B-A3B-Thinking supports 66K tokens and Qwen3 VL 32B Thinking supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Qwen3-Next-80B-A3B-Thinking and Qwen3 VL 32B Thinking?

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

Qwen3-Next-80B-A3B-Thinking vs Qwen3 VL 32B ThinkingWhich is better in 2026?

Verdict: Qwen3-Next-80B-A3B-Thinking vs Qwen3 VL 32B Thinking — which is better?

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

Choose Qwen3 VL 32B Thinking if…

Performance Benchmarks

Arena Performance

Model Size

Context Window

Input Capabilities

Qwen3-Next-80B-A3B-Thinking

Qwen3 VL 32B Thinking

License

Release Timeline

Knowledge Cutoff

Outputs Comparison

Key Takeaways

Qwen3-Next-80B-A3B-Thinking

Qwen3 VL 32B Thinking

Detailed Comparison

Judge for yourself.

FAQ

Which is better, Qwen3-Next-80B-A3B-Thinking or Qwen3 VL 32B Thinking?

How does Qwen3-Next-80B-A3B-Thinking compare to Qwen3 VL 32B Thinking in benchmarks?

What are the context window sizes for Qwen3-Next-80B-A3B-Thinking and Qwen3 VL 32B Thinking?

What are the main differences between Qwen3-Next-80B-A3B-Thinking and Qwen3 VL 32B Thinking?

More Qwen3-Next-80B-A3B-Thinking comparisons

More Qwen3 VL 32B Thinking comparisons

Qwen3-Next-80B-A3B-Thinking vs Qwen3 VL 32B ThinkingWhich is better in 2026?

Verdict: Qwen3-Next-80B-A3B-Thinking vs Qwen3 VL 32B Thinking — which is better?

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

Choose Qwen3 VL 32B Thinking if…

Performance Benchmarks

Arena Performance

Model Size

Context Window

Input Capabilities

Qwen3-Next-80B-A3B-Thinking

Qwen3 VL 32B Thinking

License

Release Timeline

Knowledge Cutoff

Outputs Comparison

Key Takeaways

Qwen3-Next-80B-A3B-Thinking

Qwen3 VL 32B Thinking

Detailed Comparison

Judge for yourself.

Which is better, Qwen3-Next-80B-A3B-Thinking or Qwen3 VL 32B Thinking?

How does Qwen3-Next-80B-A3B-Thinking compare to Qwen3 VL 32B Thinking in benchmarks?

What are the context window sizes for Qwen3-Next-80B-A3B-Thinking and Qwen3 VL 32B Thinking?

What are the main differences between Qwen3-Next-80B-A3B-Thinking and Qwen3 VL 32B Thinking?

Related comparisons

More Qwen3-Next-80B-A3B-Thinking comparisons

More Qwen3 VL 32B Thinking comparisons