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Qwen3 VL 8B Thinking vs Qwen3.8-27B

Qwen3.8-27B significantly outperforms across most benchmarks.

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

Which is better?

Qwen3 VL 8B Thinking outperforms in 0 benchmarks, while Qwen3.8-27B is better at 6 benchmarks (CharXiv-R, ERQA, GPQA, LiveCodeBench v6, MathVision, RealWorldQA). Qwen3.8-27B significantly outperforms across most benchmarks.

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

Choose Qwen3 VL 8B Thinking

  • you want predictable pricing at $0.18/M input and $2.09/M output

Choose Qwen3.8-27B

  • you want the strongest raw capability — it leads on 6 of 6 shared benchmarks
  • you want the most recent training data — it shipped Aug 2026

At a glance

The differences that matter most.

Benchmark wins
0 of 6
6 of 6
Input price
$0.18 / M
— / M
Output price
$2.09 / M
— / M
Context window
262,144
Released
Sep 2025
Aug 2026
License
Apache 2.0
Apache 2.0

Performance Benchmarks

Comparative analysis across standard metrics

6 benchmarks

Qwen3 VL 8B Thinking outperforms in 0 benchmarks, while Qwen3.8-27B is better at 6 benchmarks (CharXiv-R, ERQA, GPQA, LiveCodeBench v6, MathVision, RealWorldQA).

Qwen3.8-27B significantly outperforms across most benchmarks.

Mon Aug 24 2026 • llm-stats.com

Arena Performance

Playground indexes and blind preference scores

Model Size

Parameter count comparison

18.8B diff

Qwen3.8-27B has 18.8B more parameters than Qwen3 VL 8B Thinking, making it 208.7% larger.

Alibaba Cloud / Qwen Team
Qwen3 VL 8B Thinking
9.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3.8-27B
27.8Bparameters
9.0B
Qwen3 VL 8B Thinking
27.8B
Qwen3.8-27B

Context Window

Maximum input and output token capacity

Only Qwen3 VL 8B Thinking specifies input context (262,144 tokens). Only Qwen3 VL 8B Thinking specifies output context (262,144 tokens).

Alibaba Cloud / Qwen Team
Qwen3 VL 8B Thinking
Input262,144 tokens
Output262,144 tokens
Alibaba Cloud / Qwen Team
Qwen3.8-27B
Input- tokens
Output- tokens
Mon Aug 24 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Qwen3 VL 8B Thinking and Qwen3.8-27B support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Qwen3 VL 8B Thinking

Text
Images
Audio
Video

Qwen3.8-27B

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 VL 8B Thinking

Apache 2.0

Open weights

Qwen3.8-27B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Qwen3 VL 8B Thinking was released on 2025-09-22, while Qwen3.8-27B was released on 2026-08-14.

Qwen3.8-27B is 11 months newer than Qwen3 VL 8B Thinking.

Qwen3 VL 8B Thinking

Sep 22, 2025

11 months ago

Qwen3.8-27B

Aug 14, 2026

1 weeks ago

10mo 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 VL 8B Thinking and Qwen3.8-27B side-by-side, then vote on the output you prefer.

Qwen3 VL 8B Thinking
✓ Preferred
Qwen3.8-27B
Open in Playground

FAQ

Common questions about Qwen3 VL 8B Thinking vs Qwen3.8-27B.

Which is better, Qwen3 VL 8B Thinking or Qwen3.8-27B?

Qwen3.8-27B significantly outperforms across most benchmarks. Qwen3 VL 8B Thinking is made by Alibaba Cloud / Qwen Team and Qwen3.8-27B 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 VL 8B Thinking compare to Qwen3.8-27B in benchmarks?

Qwen3 VL 8B Thinking scores DocVQAtest: 95.3%, ScreenSpot: 93.6%, MMLU-Redux: 88.8%, MMBench-V1.1: 87.5%, InfoVQAtest: 86.0%. Qwen3.8-27B scores MathVision: 94.6%, OmniDocBench 1.5: 91.1%, LiveCodeBench v6: 90.3%, CharXiv-R: 90.2%, GPQA: 89.2%.

What are the context window sizes for Qwen3 VL 8B Thinking and Qwen3.8-27B?

Qwen3 VL 8B Thinking supports 262K tokens and Qwen3.8-27B supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.