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QvQ-72B-Preview vs Qwen2.5 72B Instruct

QvQ-72B-Preview and Qwen2.5 72B Instruct are closely matched at 8.0 and 12.5 on the LLM Stats Score.

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

Which is better?

QvQ-72B-Preview and Qwen2.5 72B Instruct are closely matched on the overall LLM Stats Score at 8.0 and 12.5.

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

Choose QvQ-72B-Preview

  • you want the most recent training data — it shipped Dec 2024

Choose Qwen2.5 72B Instruct

  • you want predictable pricing at $0.35/M input and $0.40/M output

At a glance

The differences that matter most.

Core performance indexes
8.0
#271
12.5
#239
8.3
#264
12.6
#233
Cost, coverage & limits
Benchmark wins
Input price
— / M
$0.35 / M
Output price
— / M
$0.40 / M
Context window
131,072

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
QvQ-72B-Preview
Qwen2.5 72B Instruct
9.8#245
18.4#172
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

4 reported for QvQ-72B-Preview · 14 for Qwen2.5 72B Instruct

No common benchmarks found

QvQ-72B-Preview and Qwen2.5 72B Instructdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

700.0M diff

QvQ-72B-Preview has 0.7B more parameters than Qwen2.5 72B Instruct, making it 1.0% larger.

Alibaba Cloud / Qwen Team
QvQ-72B-Preview
73.4Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5 72B Instruct
72.7Bparameters
73.4B
QvQ-72B-Preview
72.7B
Qwen2.5 72B Instruct

Context Window

Maximum input and output token capacity

Only Qwen2.5 72B Instruct specifies input context (131,072 tokens). Only Qwen2.5 72B Instruct specifies output context (8,192 tokens).

Alibaba Cloud / Qwen Team
QvQ-72B-Preview
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen2.5 72B Instruct
Input131,072 tokens
Output8,192 tokens
Fri Sep 04 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

QvQ-72B-Preview supports multimodal inputs, whereas Qwen2.5 72B Instruct does not.

QvQ-72B-Preview can handle both text and other forms of data like images, making it suitable for multimodal applications.

QvQ-72B-Preview

Text
Images
Audio
Video

Qwen2.5 72B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under Qwen.

Both models share the same licensing terms, providing consistent usage rights.

QvQ-72B-Preview

Qwen

Open weights

Qwen2.5 72B Instruct

Qwen

Open weights

Release Timeline

When each model was launched

QvQ-72B-Preview was released on 2024-12-25, while Qwen2.5 72B Instruct was released on 2024-09-19.

QvQ-72B-Preview is 3 months newer than Qwen2.5 72B Instruct.

QvQ-72B-Preview

Dec 25, 2024

1.7 years ago

3mo newer
Qwen2.5 72B Instruct

Sep 19, 2024

2.0 years ago

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 QvQ-72B-Preview and Qwen2.5 72B Instruct side-by-side, then vote on the output you prefer.

QvQ-72B-Preview
✓ Preferred
Qwen2.5 72B Instruct
Open in Playground

FAQ

Common questions about QvQ-72B-Preview vs Qwen2.5 72B Instruct.

Which is better, QvQ-72B-Preview or Qwen2.5 72B Instruct?

QvQ-72B-Preview and Qwen2.5 72B Instruct are closely matched on the LLM Stats Score at 8.0 and 12.5. QvQ-72B-Preview is made by Alibaba Cloud / Qwen Team and Qwen2.5 72B Instruct 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 QvQ-72B-Preview compare to Qwen2.5 72B Instruct in benchmarks?

QvQ-72B-Preview scores MathVista: 71.4%, MMMU: 70.3%, MathVision: 35.9%, OlympiadBench: 20.4%. Qwen2.5 72B Instruct scores GSM8k: 95.8%, MT-Bench: 93.5%, MBPP: 88.2%, MMLU-Redux: 86.8%, HumanEval: 86.6%.

What are the context window sizes for QvQ-72B-Preview and Qwen2.5 72B Instruct?

QvQ-72B-Preview supports an unknown number of tokens and Qwen2.5 72B Instruct supports 131K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between QvQ-72B-Preview and Qwen2.5 72B Instruct?

Key differences include LLM Stats Score (8.0 vs 12.5), multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.