The AI arena is free today

Open Superagent

Qwen3-Next-80B-A3B-Base vs Qwen3 VL 235B A22B Thinking

Comparing Qwen3-Next-80B-A3B-Base and Qwen3 VL 235B A22B Thinking across benchmarks, pricing, and capabilities.

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

Which is better?

Qwen3-Next-80B-A3B-Base and Qwen3 VL 235B A22B Thinking trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Qwen3-Next-80B-A3B-Base

  • you are already invested in the Alibaba Cloud / Qwen Team ecosystem

Choose Qwen3 VL 235B A22B Thinking

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

At a glance

The differences that matter most.

Benchmark wins
Input price
— / M
$0.45 / M
Output price
— / M
$3.49 / M
Context window
262,144

Individual benchmarks

0 reported for Qwen3-Next-80B-A3B-Base · 67 for Qwen3 VL 235B A22B Thinking

No common benchmarks found

Qwen3-Next-80B-A3B-Base and Qwen3 VL 235B A22B Thinkingdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

156.0B diff

Qwen3 VL 235B A22B Thinking has 156.0B more parameters than Qwen3-Next-80B-A3B-Base, making it 195.0% larger.

Alibaba Cloud / Qwen Team
Qwen3-Next-80B-A3B-Base
80.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3 VL 235B A22B Thinking
236.0Bparameters
80.0B
Qwen3-Next-80B-A3B-Base
236.0B
Qwen3 VL 235B A22B Thinking

Context Window

Maximum input and output token capacity

Only Qwen3 VL 235B A22B Thinking specifies input context (262,144 tokens). Only Qwen3 VL 235B A22B Thinking specifies output context (262,144 tokens).

Alibaba Cloud / Qwen Team
Qwen3-Next-80B-A3B-Base
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3 VL 235B A22B Thinking
Input262,144 tokens
Output262,144 tokens
Sun Sep 20 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Qwen3 VL 235B A22B Thinking supports multimodal inputs, whereas Qwen3-Next-80B-A3B-Base does not.

Qwen3 VL 235B A22B Thinking can handle both text and other forms of data like images, making it suitable for multimodal applications.

Qwen3-Next-80B-A3B-Base

Text
Images
Audio
Video

Qwen3 VL 235B A22B 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-Base

Apache 2.0

Open weights

Qwen3 VL 235B A22B Thinking

Apache 2.0

Open weights

Release Timeline

When each model was launched

Qwen3-Next-80B-A3B-Base was released on 2025-09-10, while Qwen3 VL 235B A22B Thinking was released on 2025-09-22.

Qwen3 VL 235B A22B Thinking is 0 month newer than Qwen3-Next-80B-A3B-Base.

Qwen3-Next-80B-A3B-Base

Sep 10, 2025

1.0 years ago

Qwen3 VL 235B A22B Thinking

Sep 22, 2025

12 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-Base and Qwen3 VL 235B A22B Thinking side-by-side, then vote on the output you prefer.

Qwen3-Next-80B-A3B-Base
✓ Preferred
Qwen3 VL 235B A22B Thinking
Open in Playground

FAQ

Common questions about Qwen3-Next-80B-A3B-Base vs Qwen3 VL 235B A22B Thinking.

Which is better, Qwen3-Next-80B-A3B-Base or Qwen3 VL 235B A22B Thinking?

Qwen3-Next-80B-A3B-Base (Alibaba Cloud / Qwen Team) and Qwen3 VL 235B A22B Thinking (Alibaba Cloud / Qwen Team) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Qwen3-Next-80B-A3B-Base compare to Qwen3 VL 235B A22B Thinking in benchmarks?

Qwen3 VL 235B A22B Thinking scores ZebraLogic: 97.3%, DocVQAtest: 96.5%, ScreenSpot: 95.4%, CountBench: 93.7%, MMLU-Redux: 93.7%.

What are the context window sizes for Qwen3-Next-80B-A3B-Base and Qwen3 VL 235B A22B Thinking?

Qwen3-Next-80B-A3B-Base supports an unknown number of tokens and Qwen3 VL 235B A22B Thinking 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 Qwen3-Next-80B-A3B-Base and Qwen3 VL 235B A22B Thinking?

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