DeepSeek R1 Distill Qwen 32B vs Llama 4 Maverick
DeepSeek R1 Distill Qwen 32B and Llama 4 Maverick are closely matched at 13.3 and 14.9 on the LLM Stats Score. DeepSeek R1 Distill Qwen 32B is 2.1x cheaper per token.
DeepSeek · Meta · Updated for 2026
Which is better?
DeepSeek R1 Distill Qwen 32B and Llama 4 Maverick are closely matched on the overall LLM Stats Score at 13.3 and 14.9.
The models split the 2 individual benchmarks reported for both models evenly.
On price, DeepSeek R1 Distill Qwen 32B is roughly 2.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Llama 4 Maverick also accepts a larger context window (1,000,000 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
- cost matters — it's about 2.1x cheaper per token
Choose Llama 4 Maverick
- you process long inputs — it offers a 1,000,000 token context window
- you want the most recent training data — it shipped Apr 2025
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 · 13 for Llama 4 Maverick
DeepSeek R1 Distill Qwen 32B outperforms in 1 benchmarks (LiveCodeBench), while Llama 4 Maverick is better at 1 benchmark (GPQA).
Both models are evenly matched across the 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 1.4x cheaper than Llama 4 Maverick ($0.17/1M tokens).
For output processing, DeepSeek R1 Distill Qwen 32B ($0.18/1M tokens) is 3.3x cheaper than Llama 4 Maverick ($0.60/1M tokens).
In conclusion, Llama 4 Maverick is more expensive than DeepSeek R1 Distill Qwen 32B.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Llama 4 Maverick has 367.2B more parameters than DeepSeek R1 Distill Qwen 32B, making it 1119.5% larger.
Context Window
Maximum input and output token capacity
Llama 4 Maverick accepts 1,000,000 input tokens compared to DeepSeek R1 Distill Qwen 32B's 128,000 tokens. Llama 4 Maverick can generate longer responses up to 1,000,000 tokens, while DeepSeek R1 Distill Qwen 32B is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
Llama 4 Maverick supports multimodal inputs, whereas DeepSeek R1 Distill Qwen 32B does not.
Llama 4 Maverick can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek R1 Distill Qwen 32B
Llama 4 Maverick
License
Usage and distribution terms
DeepSeek R1 Distill Qwen 32B is licensed under MIT, while Llama 4 Maverick uses Llama 4 Community License Agreement.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Llama 4 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 4 Maverick was released on 2025-04-05.
Llama 4 Maverick is 3 months newer than DeepSeek R1 Distill Qwen 32B.
Jan 20, 2025
1.6 years ago
Apr 5, 2025
1.4 years ago
2mo newerKnowledge 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 4 Maverick is available from DeepInfra, Novita, Lambda, Groq, Fireworks, Together, Sambanova.
DeepSeek R1 Distill Qwen 32B
Llama 4 Maverick
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek R1 Distill Qwen 32B and Llama 4 Maverick side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek R1 Distill Qwen 32B vs Llama 4 Maverick.