DeepSeek-V3 0324 vs Llama 4 Maverick
DeepSeek-V3 0324 and Llama 4 Maverick are closely matched at 13.7 and 14.9 on the LLM Stats Score. Llama 4 Maverick is 1.8x cheaper per token.
DeepSeek · Meta · Updated for 2026
Which is better?
DeepSeek-V3 0324 and Llama 4 Maverick are closely matched on the overall LLM Stats Score at 13.7 and 14.9.
In the 3 individual benchmarks reported for both models, DeepSeek-V3 0324 wins 2; this is a narrower head-to-head signal than the composite indexes.
On price, Llama 4 Maverick is roughly 1.8x 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-V3 0324
- you value its reported benchmark strengths — it wins 2 of 3 exact shared results
Choose Llama 4 Maverick
- cost matters — it's about 1.8x cheaper per token
- 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
5 reported for DeepSeek-V3 0324 · 13 for Llama 4 Maverick
DeepSeek-V3 0324 outperforms in 2 benchmarks (LiveCodeBench, MMLU-Pro), while Llama 4 Maverick is better at 1 benchmark (GPQA).
DeepSeek-V3 0324 shows notably better performance in the majority of benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, DeepSeek-V3 0324 ($0.28/1M tokens) is 1.6x more expensive than Llama 4 Maverick ($0.17/1M tokens).
For output processing, DeepSeek-V3 0324 ($1.14/1M tokens) is 1.9x more expensive than Llama 4 Maverick ($0.60/1M tokens).
In conclusion, DeepSeek-V3 0324 is more expensive than Llama 4 Maverick.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
DeepSeek-V3 0324 has 271.0B more parameters than Llama 4 Maverick, making it 67.8% larger.
Context Window
Maximum input and output token capacity
Llama 4 Maverick accepts 1,000,000 input tokens compared to DeepSeek-V3 0324's 163,840 tokens. Llama 4 Maverick can generate longer responses up to 1,000,000 tokens, while DeepSeek-V3 0324 is limited to 163,840 tokens.
Input capabilities
Documented input modalities across available providers
Llama 4 Maverick supports multimodal inputs, whereas DeepSeek-V3 0324 does not.
Llama 4 Maverick can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek-V3 0324
Llama 4 Maverick
License
Usage and distribution terms
DeepSeek-V3 0324 is licensed under MIT + Model License (Commercial use allowed), 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 + Model License (Commercial use allowed)
Open weights
Llama 4 Community License Agreement
Open weights
Release Timeline
When each model was launched
DeepSeek-V3 0324 was released on 2025-03-25, while Llama 4 Maverick was released on 2025-04-05.
Llama 4 Maverick is 0 month newer than DeepSeek-V3 0324.
Mar 25, 2025
1.4 years ago
Apr 5, 2025
1.4 years ago
1w 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-V3 0324 is available from Novita. Llama 4 Maverick is available from DeepInfra, Novita, Lambda, Groq, Fireworks, Together, Sambanova.
DeepSeek-V3 0324
Llama 4 Maverick
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek-V3 0324 and Llama 4 Maverick side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-V3 0324 vs Llama 4 Maverick.