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Qwen2.5 VL 72B Instruct vs Qwen3.8 Flash

Qwen3.8 Flash leads the LLM Stats Score 49.6 to 12.9.

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

Which is better?

Qwen3.8 Flash leads the overall LLM Stats Score 49.6 to 12.9, ranking #16 overall.

In the 2 individual benchmarks reported for both models, Qwen3.8 Flash wins 2; this is a narrower head-to-head signal than the composite indexes.

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

Choose Qwen2.5 VL 72B Instruct

  • you need open weights you can self-host or fine-tune

Choose Qwen3.8 Flash

  • overall performance matters — it scores 49.6 and ranks #16 on LLM Stats
  • your work emphasizes reasoning and agents — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 2 of 2 exact shared results
  • you want the most recent training data — it shipped Aug 2026

At a glance

The differences that matter most.

Qwen2.5 VL 72B Instruct
Alibaba Cloud / Qwen Team
Qwen3.8 Flash
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
12.9
#233
49.6
#16
Reasoning
13.0
#225
49.2
#16
Agents
5.2
#133
35.5
#14
Cost, coverage & limits
Benchmark wins
0 of 2
2 of 2
Input price
— / M
$0.15 / M
Output price
— / M
$0.47 / M
Context window
—
1,000,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
Qwen2.5 VL 72B Instruct
Qwen3.8 Flash
Math
7.9#253
32.6#55
Vision
9.9#117
34.4#13
Multimodal
12.8#98
36.2#8
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

30 reported for Qwen2.5 VL 72B Instruct · 22 for Qwen3.8 Flash

2 shared

Qwen2.5 VL 72B Instruct outperforms in 0 benchmarks, while Qwen3.8 Flash is better at 2 benchmarks (LVBench, MathVision).

Qwen3.8 Flash significantly outperforms across most benchmarks.

Mon Aug 31 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

53.0B diff

Qwen3.8 Flash has 53.0B more parameters than Qwen2.5 VL 72B Instruct, making it 73.6% larger.

Alibaba Cloud / Qwen Team
Qwen2.5 VL 72B Instruct
72.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3.8 Flash
125.0Bparameters
72.0B
Qwen2.5 VL 72B Instruct
125.0B
Qwen3.8 Flash

Context Window

Maximum input and output token capacity

Only Qwen3.8 Flash specifies input context (1,000,000 tokens). Only Qwen3.8 Flash specifies output context (131,072 tokens).

Alibaba Cloud / Qwen Team
Qwen2.5 VL 72B Instruct
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3.8 Flash
Input1,000,000 tokens
Output131,072 tokens
Mon Aug 31 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Qwen2.5 VL 72B Instruct and Qwen3.8 Flash support multimodal inputs.

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

Qwen2.5 VL 72B Instruct

Text
Images
Audio
Video

Qwen3.8 Flash

Text
Images
Audio
Video

License

Usage and distribution terms

Qwen2.5 VL 72B Instruct is licensed under tongyi-qianwen, while Qwen3.8 Flash uses a proprietary license.

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

Qwen2.5 VL 72B Instruct

tongyi-qianwen

Open weights

Qwen3.8 Flash

Proprietary

Closed source

Release Timeline

When each model was launched

Qwen2.5 VL 72B Instruct was released on 2025-01-26, while Qwen3.8 Flash was released on 2026-08-26.

Qwen3.8 Flash is 19 months newer than Qwen2.5 VL 72B Instruct.

Qwen2.5 VL 72B Instruct

Jan 26, 2025

1.6 years ago

Qwen3.8 Flash

Aug 26, 2026

5 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 72B Instruct and Qwen3.8 Flash side-by-side, then vote on the output you prefer.

Qwen2.5 VL 72B Instruct
✓ Preferred
Qwen3.8 Flash
Open in Playground

FAQ

Common questions about Qwen2.5 VL 72B Instruct vs Qwen3.8 Flash.

Which is better, Qwen2.5 VL 72B Instruct or Qwen3.8 Flash?

Qwen3.8 Flash leads the LLM Stats Score 49.6 to 12.9. Qwen2.5 VL 72B Instruct is made by Alibaba Cloud / Qwen Team and Qwen3.8 Flash is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Qwen2.5 VL 72B Instruct compare to Qwen3.8 Flash in benchmarks?

Qwen2.5 VL 72B Instruct scores DocVQA: 96.4%, Android Control Low_EM: 93.7%, ChartQA: 89.5%, OCRBench: 88.5%, AI2D: 88.4%. Qwen3.8 Flash 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 Qwen2.5 VL 72B Instruct and Qwen3.8 Flash?

Qwen2.5 VL 72B Instruct supports an unknown number of tokens and Qwen3.8 Flash supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Qwen2.5 VL 72B Instruct and Qwen3.8 Flash?

Key differences include LLM Stats Score (12.9 vs 49.6), licensing (tongyi-qianwen vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

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