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Qwen3-Next-80B-A3B-Thinking vs Qwen3 VL 32B Thinking

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

Alibaba Cloud / Qwen Team · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

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.

Based on current benchmark, pricing, and model metadata for 2026.

Choose Qwen3-Next-80B-A3B-Thinking

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

Choose Qwen3 VL 32B Thinking

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

At a glance

The differences that matter most.

Qwen3-Next-80B-A3B-Thinking
Alibaba Cloud / Qwen Team
Qwen3 VL 32B Thinking
Alibaba Cloud / Qwen Team
Benchmark wins
13 of 15
2 of 15
Input price
$0.15 / M
— / M
Output price
$1.50 / M
— / M
Context window
65,536
—
Released
Sep 2025
Sep 2025
License
Apache 2.0
Apache 2.0

Performance Benchmarks

Comparative analysis across standard metrics

15 benchmarks

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.

Wed Aug 26 2026 • llm-stats.com

Arena Performance

Playground indexes and blind preference scores

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.

Alibaba Cloud / Qwen Team
Qwen3-Next-80B-A3B-Thinking
80.0Bparameters
Alibaba Cloud / Qwen Team
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).

Alibaba Cloud / Qwen Team
Qwen3-Next-80B-A3B-Thinking
Input65,536 tokens
Output65,536 tokens
Alibaba Cloud / Qwen Team
Qwen3 VL 32B Thinking
Input- tokens
Output- tokens
Wed Aug 26 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

11 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→

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

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.

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