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

Qwen3.8 Flash leads the LLM Stats Score 49.6 to 14.6.

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 14.6, ranking #16 overall.

In the 1 individual benchmarks reported for both models, Qwen3.8 Flash wins 1; 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-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 — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you want the most recent training data — it shipped Aug 2026

At a glance

The differences that matter most.

Qwen2-VL-72B-Instruct
Alibaba Cloud / Qwen Team
Qwen3.8 Flash
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
14.6
#219
49.6
#16
Reasoning
11.9
#235
49.2
#16
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
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

2 shared
Index
Qwen2-VL-72B-Instruct
Qwen3.8 Flash
Vision
11.3#108
34.4#13
Multimodal
12.2#100
36.2#8
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

15 reported for Qwen2-VL-72B-Instruct · 22 for Qwen3.8 Flash

1 shared

Qwen2-VL-72B-Instruct outperforms in 0 benchmarks, while Qwen3.8 Flash is better at 1 benchmark (RealWorldQA).

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

51.6B diff

Qwen3.8 Flash has 51.6B more parameters than Qwen2-VL-72B-Instruct, making it 70.3% larger.

Alibaba Cloud / Qwen Team
Qwen2-VL-72B-Instruct
73.4Bparameters
Alibaba Cloud / Qwen Team
Qwen3.8 Flash
125.0Bparameters
73.4B
Qwen2-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-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-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-VL-72B-Instruct

Text
Images
Audio
Video

Qwen3.8 Flash

Text
Images
Audio
Video

License

Usage and distribution terms

Qwen2-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-VL-72B-Instruct

tongyi-qianwen

Open weights

Qwen3.8 Flash

Proprietary

Closed source

Release Timeline

When each model was launched

Qwen2-VL-72B-Instruct was released on 2024-08-29, while Qwen3.8 Flash was released on 2026-08-26.

Qwen3.8 Flash is 24 months newer than Qwen2-VL-72B-Instruct.

Qwen2-VL-72B-Instruct

Aug 29, 2024

2.0 years ago

Qwen3.8 Flash

Aug 26, 2026

4 days ago

2.0yr newer

Knowledge Cutoff

When training data ends

Qwen2-VL-72B-Instruct has a documented knowledge cutoff of 2023-06-30, while Qwen3.8 Flash's cutoff date is not specified.

We can confirm Qwen2-VL-72B-Instruct's training data extends to 2023-06-30, but cannot make a direct comparison without Qwen3.8 Flash's cutoff date.

Qwen2-VL-72B-Instruct

Jun 2023

Qwen3.8 Flash

—

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Qwen2-VL-72B-Instruct and Qwen3.8 Flash side-by-side, then vote on the output you prefer.

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

FAQ

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

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

Qwen3.8 Flash leads the LLM Stats Score 49.6 to 14.6. Qwen2-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-VL-72B-Instruct compare to Qwen3.8 Flash in benchmarks?

Qwen2-VL-72B-Instruct scores DocVQAtest: 96.5%, VCR_en_easy: 91.9%, ChartQA: 88.3%, OCRBench: 87.7%, MMBench: 86.5%. 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-VL-72B-Instruct and Qwen3.8 Flash?

Qwen2-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-VL-72B-Instruct and Qwen3.8 Flash?

Key differences include LLM Stats Score (14.6 vs 49.6), licensing (tongyi-qianwen vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

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