DeepSeek R1 Distill Qwen 32B vs Llama 3.3 70B Instruct
DeepSeek R1 Distill Qwen 32B and Llama 3.3 70B Instruct are closely matched at 13.1 and 13.8 on the LLM Stats Score. Llama 3.3 70B Instruct is 1.1x cheaper per token.
DeepSeek · Meta · Updated for 2026
Which is better?
DeepSeek R1 Distill Qwen 32B and Llama 3.3 70B Instruct are closely matched on the overall LLM Stats Score at 13.1 and 13.8.
In the 1 individual benchmarks reported for both models, DeepSeek R1 Distill Qwen 32B wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, Llama 3.3 70B Instruct is roughly 1.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Llama 3.3 70B 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 Qwen 32B
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- you want the most recent training data — it shipped Jan 2025
Choose Llama 3.3 70B Instruct
- cost matters — it's about 1.1x cheaper per token
- 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 Qwen 32B · 9 for Llama 3.3 70B Instruct
DeepSeek R1 Distill Qwen 32B outperforms in 1 benchmarks (GPQA), while Llama 3.3 70B Instruct is better at 0 benchmarks.
DeepSeek R1 Distill Qwen 32B 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 Qwen 32B ($0.12/1M tokens) is 1.2x more expensive than Llama 3.3 70B Instruct ($0.10/1M tokens).
For output processing, DeepSeek R1 Distill Qwen 32B ($0.18/1M tokens) is 1.1x cheaper than Llama 3.3 70B Instruct ($0.20/1M tokens).
In conclusion, DeepSeek R1 Distill Qwen 32B is more expensive than Llama 3.3 70B Instruct.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Llama 3.3 70B Instruct has 37.2B more parameters than DeepSeek R1 Distill Qwen 32B, making it 113.4% larger.
Context Window
Maximum input and output token capacity
Llama 3.3 70B Instruct accepts 131,072 input tokens compared to DeepSeek R1 Distill Qwen 32B's 128,000 tokens. Llama 3.3 70B Instruct can generate longer responses up to 131,072 tokens, while DeepSeek R1 Distill Qwen 32B is limited to 128,000 tokens.
License
Usage and distribution terms
DeepSeek R1 Distill Qwen 32B is licensed under MIT, while Llama 3.3 70B Instruct uses Llama 3.3 Community License Agreement.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Llama 3.3 Community License Agreement
Open weights
Release Timeline
When each model was launched
DeepSeek R1 Distill Qwen 32B was released on 2025-01-20, while Llama 3.3 70B Instruct was released on 2024-12-06.
DeepSeek R1 Distill Qwen 32B is 2 months newer than Llama 3.3 70B Instruct.
Jan 20, 2025
1.7 years ago
1mo newerDec 6, 2024
1.8 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 Qwen 32B is available from DeepInfra. Llama 3.3 70B Instruct is available from DeepInfra, Lambda, Hyperbolic, Groq, Sambanova, Cerebras, Bedrock, Together, Fireworks.
DeepSeek R1 Distill Qwen 32B
Llama 3.3 70B Instruct
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek R1 Distill Qwen 32B and Llama 3.3 70B Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek R1 Distill Qwen 32B vs Llama 3.3 70B Instruct.