DeepSeek R1 Distill Llama 70B vs Qwen2.5 72B Instruct
DeepSeek R1 Distill Llama 70B and Qwen2.5 72B Instruct are closely matched at 14.6 and 12.5 on the LLM Stats Score. DeepSeek R1 Distill Llama 70B is 2.1x cheaper per token.
DeepSeek · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
DeepSeek R1 Distill Llama 70B and Qwen2.5 72B Instruct are closely matched on the overall LLM Stats Score at 14.6 and 12.5.
In the 2 individual benchmarks reported for both models, DeepSeek R1 Distill Llama 70B wins 2; this is a narrower head-to-head signal than the composite indexes.
On price, DeepSeek R1 Distill Llama 70B is roughly 2.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Qwen2.5 72B Instruct also accepts a larger context window (131,072 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose DeepSeek R1 Distill Llama 70B
- you value its reported benchmark strengths — it wins 2 of 2 exact shared results
- cost matters — it's about 2.1x cheaper per token
- you want the most recent training data — it shipped Jan 2025
Choose Qwen2.5 72B Instruct
- you process long inputs — it offers a 131,072 token context window
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
4 reported for DeepSeek R1 Distill Llama 70B · 14 for Qwen2.5 72B Instruct
DeepSeek R1 Distill Llama 70B outperforms in 2 benchmarks (GPQA, LiveCodeBench), while Qwen2.5 72B Instruct is better at 0 benchmarks.
DeepSeek R1 Distill Llama 70B significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, DeepSeek R1 Distill Llama 70B ($0.10/1M tokens) is 3.5x cheaper than Qwen2.5 72B Instruct ($0.35/1M tokens).
For output processing, DeepSeek R1 Distill Llama 70B ($0.40/1M tokens) costs the same as Qwen2.5 72B Instruct ($0.40/1M tokens).
In conclusion, Qwen2.5 72B Instruct is more expensive than DeepSeek R1 Distill Llama 70B.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Qwen2.5 72B Instruct has 2.1B more parameters than DeepSeek R1 Distill Llama 70B, making it 3.0% larger.
Context Window
Maximum input and output token capacity
Qwen2.5 72B Instruct accepts 131,072 input tokens compared to DeepSeek R1 Distill Llama 70B's 128,000 tokens. DeepSeek R1 Distill Llama 70B can generate longer responses up to 128,000 tokens, while Qwen2.5 72B Instruct is limited to 8,192 tokens.
License
Usage and distribution terms
DeepSeek R1 Distill Llama 70B is licensed under MIT, while Qwen2.5 72B Instruct uses Qwen.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Qwen
Open weights
Release Timeline
When each model was launched
DeepSeek R1 Distill Llama 70B was released on 2025-01-20, while Qwen2.5 72B Instruct was released on 2024-09-19.
DeepSeek R1 Distill Llama 70B is 4 months newer than Qwen2.5 72B Instruct.
Jan 20, 2025
1.6 years ago
4mo newerSep 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.
Provider Availability
DeepSeek R1 Distill Llama 70B is available from DeepInfra. Qwen2.5 72B Instruct is available from DeepInfra, Hyperbolic, Fireworks, Together.
DeepSeek R1 Distill Llama 70B
Qwen2.5 72B Instruct
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek R1 Distill Llama 70B and Qwen2.5 72B Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek R1 Distill Llama 70B vs Qwen2.5 72B Instruct.