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Qwen2.5 VL 7B Instruct 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?

Qwen2.5 VL 7B Instruct outperforms in 0 benchmarks, while Qwen3.8-Flash-Next is better at 2 benchmarks (LVBench, MathVision). Qwen3.8-Flash-Next significantly outperforms across most benchmarks.

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

Choose Qwen2.5 VL 7B Instruct

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

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
— / M
— / M
Output price
— / M
— / M
Context window
Released
Jan 2025
Aug 2026
License
Apache 2.0
Qwen Community License 1.0

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Qwen2.5 VL 7B Instruct outperforms in 0 benchmarks, while Qwen3.8-Flash-Next is better at 2 benchmarks (LVBench, MathVision).

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

Thu Aug 27 2026 • llm-stats.com

Arena Performance

Playground indexes and blind preference scores

Model Size

Parameter count comparison

116.7B diff

Qwen3.8-Flash-Next has 116.7B more parameters than Qwen2.5 VL 7B Instruct, making it 1407.8% larger.

Alibaba Cloud / Qwen Team
Qwen2.5 VL 7B Instruct
8.3Bparameters
Alibaba Cloud / Qwen Team
Qwen3.8-Flash-Next
125.0Bparameters
8.3B
Qwen2.5 VL 7B Instruct
125.0B
Qwen3.8-Flash-Next

Input Capabilities

Supported data types and modalities

Both Qwen2.5 VL 7B Instruct and Qwen3.8-Flash-Next support multimodal inputs.

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

Qwen2.5 VL 7B Instruct

Text
Images
Audio
Video

Qwen3.8-Flash-Next

Text
Images
Audio
Video

License

Usage and distribution terms

Qwen2.5 VL 7B Instruct 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.

Qwen2.5 VL 7B Instruct

Apache 2.0

Open weights

Qwen3.8-Flash-Next

Qwen Community License 1.0

Open weights

Release Timeline

When each model was launched

Qwen2.5 VL 7B Instruct was released on 2025-01-26, while Qwen3.8-Flash-Next was released on 2026-08-26.

Qwen3.8-Flash-Next is 19 months newer than Qwen2.5 VL 7B Instruct.

Qwen2.5 VL 7B Instruct

Jan 26, 2025

1.6 years ago

Qwen3.8-Flash-Next

Aug 26, 2026

0 days ago

1.6yr 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 Qwen2.5 VL 7B Instruct and Qwen3.8-Flash-Next side-by-side, then vote on the output you prefer.

Qwen2.5 VL 7B Instruct
✓ Preferred
Qwen3.8-Flash-Next
Open in Playground

FAQ

Common questions about Qwen2.5 VL 7B Instruct vs Qwen3.8-Flash-Next.

Which is better, Qwen2.5 VL 7B Instruct or Qwen3.8-Flash-Next?

Qwen3.8-Flash-Next significantly outperforms across most benchmarks. Qwen2.5 VL 7B Instruct 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 Qwen2.5 VL 7B Instruct compare to Qwen3.8-Flash-Next in benchmarks?

Qwen2.5 VL 7B Instruct scores DocVQA: 95.7%, Android Control Low_EM: 91.4%, MobileMiniWob++_SR: 91.4%, ChartQA: 87.3%, OCRBench: 86.4%. 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 main differences between Qwen2.5 VL 7B Instruct and Qwen3.8-Flash-Next?

Key differences include licensing (Apache 2.0 vs Qwen Community License 1.0). See the full comparison above for benchmark-by-benchmark results.