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DeepSeek R1 Distill Llama 70B vs QvQ-72B-Preview

DeepSeek R1 Distill Llama 70B and QvQ-72B-Preview are closely matched at 14.8 and 8.3 on the LLM Stats Score.

DeepSeek · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

DeepSeek R1 Distill Llama 70B and QvQ-72B-Preview are closely matched on the overall LLM Stats Score at 14.8 and 8.3.

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

Choose DeepSeek R1 Distill Llama 70B

  • you want the most recent training data — it shipped Jan 2025

Choose QvQ-72B-Preview

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

At a glance

The differences that matter most.

Core performance indexes
14.8
#214
8.3
#262
15.0
#208
8.6
#256
Cost, coverage & limits
Benchmark wins
Input price
$0.10 / M
— / M
Output price
$0.40 / M
— / M
Context window
128,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
DeepSeek R1 Distill Llama 70B
QvQ-72B-Preview
16.7#191
9.8#238
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

4 reported for DeepSeek R1 Distill Llama 70B · 4 for QvQ-72B-Preview

No common benchmarks found

DeepSeek R1 Distill Llama 70B 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

2.8B diff

QvQ-72B-Preview has 2.8B more parameters than DeepSeek R1 Distill Llama 70B, making it 4.0% larger.

DeepSeek
DeepSeek R1 Distill Llama 70B
70.6Bparameters
Alibaba Cloud / Qwen Team
QvQ-72B-Preview
73.4Bparameters
70.6B
DeepSeek R1 Distill Llama 70B
73.4B
QvQ-72B-Preview

Context Window

Maximum input and output token capacity

Only DeepSeek R1 Distill Llama 70B specifies input context (128,000 tokens). Only DeepSeek R1 Distill Llama 70B specifies output context (128,000 tokens).

DeepSeek
DeepSeek R1 Distill Llama 70B
Input128,000 tokens
Output128,000 tokens
Alibaba Cloud / Qwen Team
QvQ-72B-Preview
Input- tokens
Output- tokens
Sat Aug 29 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

QvQ-72B-Preview supports multimodal inputs, whereas DeepSeek R1 Distill Llama 70B does not.

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

DeepSeek R1 Distill Llama 70B

Text
Images
Audio
Video

QvQ-72B-Preview

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek R1 Distill Llama 70B is licensed under MIT, while QvQ-72B-Preview uses Qwen.

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

DeepSeek R1 Distill Llama 70B

MIT

Open weights

QvQ-72B-Preview

Qwen

Open weights

Release Timeline

When each model was launched

DeepSeek R1 Distill Llama 70B was released on 2025-01-20, while QvQ-72B-Preview was released on 2024-12-25.

DeepSeek R1 Distill Llama 70B is 1 month newer than QvQ-72B-Preview.

DeepSeek R1 Distill Llama 70B

Jan 20, 2025

1.6 years ago

3w newer
QvQ-72B-Preview

Dec 25, 2024

1.7 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 DeepSeek R1 Distill Llama 70B and QvQ-72B-Preview side-by-side, then vote on the output you prefer.

DeepSeek R1 Distill Llama 70B
✓ Preferred
QvQ-72B-Preview
Open in Playground

FAQ

Common questions about DeepSeek R1 Distill Llama 70B vs QvQ-72B-Preview.

Which is better, DeepSeek R1 Distill Llama 70B or QvQ-72B-Preview?

DeepSeek R1 Distill Llama 70B and QvQ-72B-Preview are closely matched on the LLM Stats Score at 14.8 and 8.3. DeepSeek R1 Distill Llama 70B is made by DeepSeek 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 DeepSeek R1 Distill Llama 70B compare to QvQ-72B-Preview in benchmarks?

DeepSeek R1 Distill Llama 70B scores MATH-500: 94.5%, AIME 2024: 86.7%, GPQA: 65.2%, LiveCodeBench: 57.5%. QvQ-72B-Preview scores MathVista: 71.4%, MMMU: 70.3%, MathVision: 35.9%, OlympiadBench: 20.4%.

What are the context window sizes for DeepSeek R1 Distill Llama 70B and QvQ-72B-Preview?

DeepSeek R1 Distill Llama 70B 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 DeepSeek R1 Distill Llama 70B and QvQ-72B-Preview?

Key differences include LLM Stats Score (14.8 vs 8.3), multimodal support (no vs yes), licensing (MIT vs Qwen). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek R1 Distill Llama 70B and QvQ-72B-Preview?

DeepSeek R1 Distill Llama 70B is developed by DeepSeek and QvQ-72B-Preview is developed by Alibaba Cloud / Qwen Team.