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Qwen3 32B vs Qwen3.8-Flash-Next

Comparing Qwen3 32B and Qwen3.8-Flash-Next across benchmarks, pricing, and capabilities.

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

Which is better?

Qwen3 32B and Qwen3.8-Flash-Next trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

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

Choose Qwen3 32B

  • you want predictable pricing at $0.10/M input and $0.30/M output

Choose Qwen3.8-Flash-Next

  • you want the most recent training data — it shipped Aug 2026

At a glance

The differences that matter most.

Qwen3 32B
Alibaba Cloud / Qwen Team
Qwen3.8-Flash-Next
Alibaba Cloud / Qwen Team
Benchmark wins
—
—
Input price
$0.10 / M
— / M
Output price
$0.30 / M
— / M
Context window
128,000
—
Released
Apr 2025
Aug 2026
License
Apache 2.0
Qwen Community License 1.0

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Qwen3 32B and Qwen3.8-Flash-Nextdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Playground indexes and blind preference scores

Model Size

Parameter count comparison

92.2B diff

Qwen3.8-Flash-Next has 92.2B more parameters than Qwen3 32B, making it 281.1% larger.

Alibaba Cloud / Qwen Team
Qwen3 32B
32.8Bparameters
Alibaba Cloud / Qwen Team
Qwen3.8-Flash-Next
125.0Bparameters
32.8B
Qwen3 32B
125.0B
Qwen3.8-Flash-Next

Context Window

Maximum input and output token capacity

Only Qwen3 32B specifies input context (128,000 tokens). Only Qwen3 32B specifies output context (128,000 tokens).

Alibaba Cloud / Qwen Team
Qwen3 32B
Input128,000 tokens
Output128,000 tokens
Alibaba Cloud / Qwen Team
Qwen3.8-Flash-Next
Input- tokens
Output- tokens
Thu Aug 27 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Qwen3.8-Flash-Next supports multimodal inputs, whereas Qwen3 32B does not.

Qwen3.8-Flash-Next can handle both text and other forms of data like images, making it suitable for multimodal applications.

Qwen3 32B

Text
Images
Audio
Video

Qwen3.8-Flash-Next

Text
Images
Audio
Video

License

Usage and distribution terms

Qwen3 32B is licensed under Apache 2.0, while Qwen3.8-Flash-Next uses Qwen Community License 1.0.

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

Qwen3 32B

Apache 2.0

Open weights

Qwen3.8-Flash-Next

Qwen Community License 1.0

Open weights

Release Timeline

When each model was launched

Qwen3 32B was released on 2025-04-29, while Qwen3.8-Flash-Next was released on 2026-08-26.

Qwen3.8-Flash-Next is 16 months newer than Qwen3 32B.

Qwen3 32B

Apr 29, 2025

1.3 years ago

Qwen3.8-Flash-Next

Aug 26, 2026

1 days ago

1.3yr 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 32B and Qwen3.8-Flash-Next side-by-side, then vote on the output you prefer.

Qwen3 32B
✓ Preferred
Qwen3.8-Flash-Next
Open in Playground

FAQ

Common questions about Qwen3 32B vs Qwen3.8-Flash-Next.

Which is better, Qwen3 32B or Qwen3.8-Flash-Next?

Qwen3 32B (Alibaba Cloud / Qwen Team) and Qwen3.8-Flash-Next (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 32B compare to Qwen3.8-Flash-Next in benchmarks?

Qwen3 32B scores Arena Hard: 93.8%, AIME 2024: 81.4%, LiveBench: 74.9%, MultiLF: 73.0%, AIME 2025: 72.9%. Qwen3.8-Flash-Next scores MathVision: 95.7%, LiveCodeBench v6: 91.9%, GPQA: 91.7%, CharXiv-R: 90.6%, RealWorldQA: 88.5%.

What are the context window sizes for Qwen3 32B and Qwen3.8-Flash-Next?

Qwen3 32B supports 128K tokens and Qwen3.8-Flash-Next 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 32B and Qwen3.8-Flash-Next?

Key differences include multimodal support (no vs yes), licensing (Apache 2.0 vs Qwen Community License 1.0). See the full comparison above for benchmark-by-benchmark results.

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