Model Comparison
DeepSeek-V3 0324 vs Llama 4 ScoutWhich is better in 2026?
DeepSeek-V3 0324 significantly outperforms across most benchmarks. Llama 4 Scout is 3.7x cheaper per token.
Verdict: DeepSeek-V3 0324 vs Llama 4 Scout — which is better?
DeepSeek-V3 0324 (by DeepSeek) and Llama 4 Scout (by Meta) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
DeepSeek-V3 0324 outperforms in 3 benchmarks (GPQA, LiveCodeBench, MMLU-Pro), while Llama 4 Scout is better at 0 benchmarks. DeepSeek-V3 0324 significantly outperforms across most benchmarks.
On price, Llama 4 Scout is roughly 3.7x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Llama 4 Scout also accepts a larger context window (10,000,000 input tokens), making it the stronger choice for long documents and large codebases.
Choose DeepSeek-V3 0324 if…
- you want the strongest raw capability — it leads on 3 of 3 shared benchmarks
Choose Llama 4 Scout if…
- cost matters — it's about 3.7x cheaper per token
- you process long inputs — it offers a 10,000,000 token context window
- you want the most recent training data — it shipped Apr 2025
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek-V3 0324 outperforms in 3 benchmarks (GPQA, LiveCodeBench, MMLU-Pro), while Llama 4 Scout is better at 0 benchmarks.
DeepSeek-V3 0324 significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, DeepSeek-V3 0324 ($0.28/1M tokens) is 3.5x more expensive than Llama 4 Scout ($0.08/1M tokens).
For output processing, DeepSeek-V3 0324 ($1.14/1M tokens) is 3.8x more expensive than Llama 4 Scout ($0.30/1M tokens).
In conclusion, DeepSeek-V3 0324 is more expensive than Llama 4 Scout.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
DeepSeek-V3 0324 has 562.0B more parameters than Llama 4 Scout, making it 515.6% larger.
Context Window
Maximum input and output token capacity
Llama 4 Scout accepts 10,000,000 input tokens compared to DeepSeek-V3 0324's 163,840 tokens. Llama 4 Scout can generate longer responses up to 10,000,000 tokens, while DeepSeek-V3 0324 is limited to 163,840 tokens.
Input Capabilities
Supported data types and modalities
Llama 4 Scout supports multimodal inputs, whereas DeepSeek-V3 0324 does not.
Llama 4 Scout can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek-V3 0324
Llama 4 Scout
License
Usage and distribution terms
DeepSeek-V3 0324 is licensed under MIT + Model License (Commercial use allowed), while Llama 4 Scout 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 Scout was released on 2025-04-05.
Llama 4 Scout is 0 month newer than DeepSeek-V3 0324.
Mar 25, 2025
1.2 years ago
Apr 5, 2025
1.2 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 Scout is available from DeepInfra, Lambda, Novita, Groq, Fireworks, Together.
DeepSeek-V3 0324
Llama 4 Scout
Outputs Comparison
Key Takeaways
DeepSeek-V3 0324
View detailsDeepSeek
Detailed Comparison
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FAQ
Common questions about DeepSeek-V3 0324 vs Llama 4 Scout.