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DeepSeek-R1 vs Qwen2 72B Instruct

Comparing DeepSeek-R1 and Qwen2 72B Instruct across benchmarks, pricing, and capabilities.

DeepSeek · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

DeepSeek-R1 and Qwen2 72B Instruct trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

Based on current benchmark, pricing, and model metadata for 2026.

Choose DeepSeek-R1

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

Choose Qwen2 72B Instruct

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

At a glance

The differences that matter most.

Benchmark wins
Input price
$0.55 / M
— / M
Output price
$2.19 / M
— / M
Context window
131,072
Released
Jan 2025
Jul 2024
License
MIT
tongyi-qianwen

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek-R1 and Qwen2 72B Instructdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Playground indexes and blind preference scores

Model Size

Parameter count comparison

599.0B diff

DeepSeek-R1 has 599.0B more parameters than Qwen2 72B Instruct, making it 831.9% larger.

DeepSeek
DeepSeek-R1
671.0Bparameters
Alibaba Cloud / Qwen Team
Qwen2 72B Instruct
72.0Bparameters
671.0B
DeepSeek-R1
72.0B
Qwen2 72B Instruct

Context Window

Maximum input and output token capacity

Only DeepSeek-R1 specifies input context (131,072 tokens). Only DeepSeek-R1 specifies output context (131,072 tokens).

DeepSeek
DeepSeek-R1
Input131,072 tokens
Output131,072 tokens
Alibaba Cloud / Qwen Team
Qwen2 72B Instruct
Input- tokens
Output- tokens
Wed Aug 26 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-R1 is licensed under MIT, while Qwen2 72B Instruct uses tongyi-qianwen.

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

DeepSeek-R1

MIT

Open weights

Qwen2 72B Instruct

tongyi-qianwen

Open weights

Release Timeline

When each model was launched

DeepSeek-R1 was released on 2025-01-20, while Qwen2 72B Instruct was released on 2024-07-23.

DeepSeek-R1 is 6 months newer than Qwen2 72B Instruct.

DeepSeek-R1

Jan 20, 2025

1.6 years ago

6mo newer
Qwen2 72B Instruct

Jul 23, 2024

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

DeepSeek-R1
✓ Preferred
Qwen2 72B Instruct
Open in Playground

FAQ

Common questions about DeepSeek-R1 vs Qwen2 72B Instruct.

Which is better, DeepSeek-R1 or Qwen2 72B Instruct?

DeepSeek-R1 (DeepSeek) and Qwen2 72B Instruct (Alibaba Cloud / Qwen Team) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does DeepSeek-R1 compare to Qwen2 72B Instruct in benchmarks?

Qwen2 72B Instruct scores GSM8k: 91.1%, CMMLU: 90.1%, HellaSwag: 87.6%, HumanEval: 86.0%, Winogrande: 85.1%.

What are the context window sizes for DeepSeek-R1 and Qwen2 72B Instruct?

DeepSeek-R1 supports 131K tokens and Qwen2 72B Instruct 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 and Qwen2 72B Instruct?

Key differences include licensing (MIT vs tongyi-qianwen). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-R1 and Qwen2 72B Instruct?

DeepSeek-R1 is developed by DeepSeek and Qwen2 72B Instruct is developed by Alibaba Cloud / Qwen Team.