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Llama 3.3 70B Instruct vs QvQ-72B-Preview

Llama 3.3 70B Instruct and QvQ-72B-Preview are closely matched at 13.9 and 8.0 on the LLM Stats Score.

Meta · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Llama 3.3 70B Instruct and QvQ-72B-Preview are closely matched on the overall LLM Stats Score at 13.9 and 8.0.

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

Choose Llama 3.3 70B Instruct

  • you want predictable pricing at $0.20/M input and $0.20/M output

Choose QvQ-72B-Preview

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

At a glance

The differences that matter most.

Core performance indexes
13.9
#231
8.0
#271
11.8
#240
8.3
#264
Cost, coverage & limits
Benchmark wins
Input price
$0.20 / M
— / M
Output price
$0.20 / M
— / M
Context window
128,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Llama 3.3 70B Instruct
QvQ-72B-Preview
17.7#185
9.8#245
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

9 reported for Llama 3.3 70B Instruct · 4 for QvQ-72B-Preview

No common benchmarks found

Llama 3.3 70B Instruct and QvQ-72B-Previewdon'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

3.4B diff

QvQ-72B-Preview has 3.4B more parameters than Llama 3.3 70B Instruct, making it 4.9% larger.

Meta
Llama 3.3 70B Instruct
70.0Bparameters
Alibaba Cloud / Qwen Team
QvQ-72B-Preview
73.4Bparameters
70.0B
Llama 3.3 70B Instruct
73.4B
QvQ-72B-Preview

Context Window

Maximum input and output token capacity

Only Llama 3.3 70B Instruct specifies input context (128,000 tokens). Only Llama 3.3 70B Instruct specifies output context (128,000 tokens).

Meta
Llama 3.3 70B Instruct
Input128,000 tokens
Output128,000 tokens
Alibaba Cloud / Qwen Team
QvQ-72B-Preview
Input- tokens
Output- tokens
Fri Sep 04 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

QvQ-72B-Preview supports multimodal inputs, whereas Llama 3.3 70B Instruct does not.

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

Llama 3.3 70B Instruct

Text
Images
Audio
Video

QvQ-72B-Preview

Text
Images
Audio
Video

License

Usage and distribution terms

Llama 3.3 70B Instruct is licensed under Llama 3.3 Community License Agreement, while QvQ-72B-Preview uses Qwen.

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

Llama 3.3 70B Instruct

Llama 3.3 Community License Agreement

Open weights

QvQ-72B-Preview

Qwen

Open weights

Release Timeline

When each model was launched

Llama 3.3 70B Instruct was released on 2024-12-06, while QvQ-72B-Preview was released on 2024-12-25.

QvQ-72B-Preview is 1 month newer than Llama 3.3 70B Instruct.

Llama 3.3 70B Instruct

Dec 6, 2024

1.7 years ago

QvQ-72B-Preview

Dec 25, 2024

1.7 years ago

2w 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 Llama 3.3 70B Instruct and QvQ-72B-Preview side-by-side, then vote on the output you prefer.

Llama 3.3 70B Instruct
✓ Preferred
QvQ-72B-Preview
Open in Playground

FAQ

Common questions about Llama 3.3 70B Instruct vs QvQ-72B-Preview.

Which is better, Llama 3.3 70B Instruct or QvQ-72B-Preview?

Llama 3.3 70B Instruct and QvQ-72B-Preview are closely matched on the LLM Stats Score at 13.9 and 8.0. Llama 3.3 70B Instruct is made by Meta and QvQ-72B-Preview 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 Llama 3.3 70B Instruct compare to QvQ-72B-Preview in benchmarks?

Llama 3.3 70B Instruct scores IFEval: 92.1%, MGSM: 91.1%, HumanEval: 88.4%, MBPP EvalPlus: 87.6%, MMLU: 86.0%. QvQ-72B-Preview scores MathVista: 71.4%, MMMU: 70.3%, MathVision: 35.9%, OlympiadBench: 20.4%.

What are the context window sizes for Llama 3.3 70B Instruct and QvQ-72B-Preview?

Llama 3.3 70B Instruct supports 128K tokens and QvQ-72B-Preview supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Llama 3.3 70B Instruct and QvQ-72B-Preview?

Key differences include LLM Stats Score (13.9 vs 8.0), multimodal support (no vs yes), licensing (Llama 3.3 Community License Agreement vs Qwen). See the full comparison above for benchmark-by-benchmark results.

Who makes Llama 3.3 70B Instruct and QvQ-72B-Preview?

Llama 3.3 70B Instruct is developed by Meta and QvQ-72B-Preview is developed by Alibaba Cloud / Qwen Team.