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Qwen3-235B-A22B-Instruct-2507 vs Qwen3.8-Flash-Next

Qwen3.8-Flash-Next significantly outperforms across most benchmarks.

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

Which is better?

Qwen3-235B-A22B-Instruct-2507 outperforms in 0 benchmarks, while Qwen3.8-Flash-Next is better at 2 benchmarks (GPQA, LiveCodeBench v6). Qwen3.8-Flash-Next significantly outperforms across most benchmarks.

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

Choose Qwen3-235B-A22B-Instruct-2507

  • you want predictable pricing at $0.15/M input and $0.80/M output

Choose Qwen3.8-Flash-Next

  • you want the strongest raw capability — it leads on 2 of 2 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 2
2 of 2
Input price
$0.15 / M
— / M
Output price
$0.80 / M
— / M
Context window
262,144
Released
Jul 2025
Aug 2026
License
Apache 2.0
Qwen Community License 1.0

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Qwen3-235B-A22B-Instruct-2507 outperforms in 0 benchmarks, while Qwen3.8-Flash-Next is better at 2 benchmarks (GPQA, LiveCodeBench v6).

Qwen3.8-Flash-Next 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

55.0B diff

Qwen3-235B-A22B-Instruct-2507 has 55.0B more parameters than Qwen3.8-Flash-Next, making it 30.6% larger.

Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Instruct-2507
235.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3.8-Flash-Next
180.0Bparameters
235.0B
Qwen3-235B-A22B-Instruct-2507
180.0B
Qwen3.8-Flash-Next

Context Window

Maximum input and output token capacity

Only Qwen3-235B-A22B-Instruct-2507 specifies input context (262,144 tokens). Only Qwen3-235B-A22B-Instruct-2507 specifies output context (131,072 tokens).

Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Instruct-2507
Input262,144 tokens
Output131,072 tokens
Alibaba Cloud / Qwen Team
Qwen3.8-Flash-Next
Input- tokens
Output- tokens
Wed Aug 26 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Qwen3.8-Flash-Next supports multimodal inputs, whereas Qwen3-235B-A22B-Instruct-2507 does not.

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

Qwen3-235B-A22B-Instruct-2507

Text
Images
Audio
Video

Qwen3.8-Flash-Next

Text
Images
Audio
Video

License

Usage and distribution terms

Qwen3-235B-A22B-Instruct-2507 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.

Qwen3-235B-A22B-Instruct-2507

Apache 2.0

Open weights

Qwen3.8-Flash-Next

Qwen Community License 1.0

Open weights

Release Timeline

When each model was launched

Qwen3-235B-A22B-Instruct-2507 was released on 2025-07-22, while Qwen3.8-Flash-Next was released on 2026-08-26.

Qwen3.8-Flash-Next is 13 months newer than Qwen3-235B-A22B-Instruct-2507.

Qwen3-235B-A22B-Instruct-2507

Jul 22, 2025

1.1 years ago

Qwen3.8-Flash-Next

Aug 26, 2026

0 days ago

1.1yr 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 Qwen3-235B-A22B-Instruct-2507 and Qwen3.8-Flash-Next side-by-side, then vote on the output you prefer.

Qwen3-235B-A22B-Instruct-2507
✓ Preferred
Qwen3.8-Flash-Next
Open in Playground

FAQ

Common questions about Qwen3-235B-A22B-Instruct-2507 vs Qwen3.8-Flash-Next.

Which is better, Qwen3-235B-A22B-Instruct-2507 or Qwen3.8-Flash-Next?

Qwen3.8-Flash-Next significantly outperforms across most benchmarks. Qwen3-235B-A22B-Instruct-2507 is made by Alibaba Cloud / Qwen Team and Qwen3.8-Flash-Next 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 Qwen3-235B-A22B-Instruct-2507 compare to Qwen3.8-Flash-Next in benchmarks?

Qwen3-235B-A22B-Instruct-2507 scores ZebraLogic: 95.0%, MMLU-Redux: 93.1%, IFEval: 88.7%, MultiPL-E: 87.9%, Creative Writing v3: 87.5%. 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 Qwen3-235B-A22B-Instruct-2507 and Qwen3.8-Flash-Next?

Qwen3-235B-A22B-Instruct-2507 supports 262K 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 Qwen3-235B-A22B-Instruct-2507 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.