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QvQ-72B-Preview vs Qwen2 7B Instruct

QvQ-72B-Preview leads the LLM Stats Score 7.9 to -4.5.

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

Which is better?

QvQ-72B-Preview leads the overall LLM Stats Score 7.9 to -4.5, ranking #286 overall.

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

Choose QvQ-72B-Preview

  • overall performance matters — it scores 7.9 and ranks #286 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped Dec 2024

Choose Qwen2 7B Instruct

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

At a glance

The differences that matter most.

Core performance indexes
7.9
#286
-4.5
#352
8.2
#280
-4.2
#345
Cost, coverage & limits
Benchmark wins
Input price
— / M
— / M
Output price
— / M
— / M
Context window

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
QvQ-72B-Preview
Qwen2 7B Instruct
9.6#254
-1.5#304
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

4 reported for QvQ-72B-Preview · 14 for Qwen2 7B Instruct

No common benchmarks found

QvQ-72B-Preview and Qwen2 7B 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

65.8B diff

QvQ-72B-Preview has 65.8B more parameters than Qwen2 7B Instruct, making it 863.3% larger.

Alibaba Cloud / Qwen Team
QvQ-72B-Preview
73.4Bparameters
Alibaba Cloud / Qwen Team
Qwen2 7B Instruct
7.6Bparameters
73.4B
QvQ-72B-Preview
7.6B
Qwen2 7B Instruct

Input capabilities

Documented input modalities across available providers

QvQ-72B-Preview supports multimodal inputs, whereas Qwen2 7B 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 7B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

QvQ-72B-Preview is licensed under Qwen, while Qwen2 7B Instruct uses Apache 2.0.

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

QvQ-72B-Preview

Qwen

Open weights

Qwen2 7B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

QvQ-72B-Preview was released on 2024-12-25, while Qwen2 7B Instruct was released on 2024-07-23.

QvQ-72B-Preview is 5 months newer than Qwen2 7B Instruct.

QvQ-72B-Preview

Dec 25, 2024

1.7 years ago

5mo newer
Qwen2 7B Instruct

Jul 23, 2024

2.2 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 7B Instruct side-by-side, then vote on the output you prefer.

QvQ-72B-Preview
✓ Preferred
Qwen2 7B Instruct
Open in Playground

FAQ

Common questions about QvQ-72B-Preview vs Qwen2 7B Instruct.

Which is better, QvQ-72B-Preview or Qwen2 7B Instruct?

QvQ-72B-Preview leads the LLM Stats Score 7.9 to -4.5. QvQ-72B-Preview is made by Alibaba Cloud / Qwen Team and Qwen2 7B 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 7B Instruct in benchmarks?

QvQ-72B-Preview scores MathVista: 71.4%, MMMU: 70.3%, MathVision: 35.9%, OlympiadBench: 20.4%. Qwen2 7B Instruct scores MT-Bench: 84.1%, GSM8k: 82.3%, HumanEval: 79.9%, C-Eval: 77.2%, AlignBench: 72.1%.

What are the main differences between QvQ-72B-Preview and Qwen2 7B Instruct?

Key differences include LLM Stats Score (7.9 vs -4.5), multimodal support (yes vs no), licensing (Qwen vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.