DeepSeek-V3 0324 vs Llama 3.3 70B Instruct
DeepSeek-V3 0324 and Llama 3.3 70B Instruct are closely matched at 13.4 and 13.8 on the LLM Stats Score. Llama 3.3 70B Instruct is 3.2x cheaper per token.
DeepSeek · Meta · Updated for 2026
Which is better?
DeepSeek-V3 0324 and Llama 3.3 70B Instruct are closely matched on the overall LLM Stats Score at 13.4 and 13.8.
In the 2 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 3.3 70B Instruct is roughly 3.2x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
DeepSeek-V3 0324 also accepts a larger context window (163,840 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 2 exact shared results
- you process long inputs — it offers a 163,840 token context window
- you want the most recent training data — it shipped Mar 2025
Choose Llama 3.3 70B Instruct
- cost matters — it's about 3.2x cheaper per token
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 · 9 for Llama 3.3 70B Instruct
DeepSeek-V3 0324 outperforms in 2 benchmarks (GPQA, MMLU-Pro), while Llama 3.3 70B Instruct is better at 0 benchmarks.
DeepSeek-V3 0324 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-V3 0324 ($0.24/1M tokens) is 2.4x more expensive than Llama 3.3 70B Instruct ($0.10/1M tokens).
For output processing, DeepSeek-V3 0324 ($0.90/1M tokens) is 4.5x more expensive than Llama 3.3 70B Instruct ($0.20/1M tokens).
In conclusion, DeepSeek-V3 0324 is more expensive than Llama 3.3 70B Instruct.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
DeepSeek-V3 0324 has 601.0B more parameters than Llama 3.3 70B Instruct, making it 858.6% larger.
Context Window
Maximum input and output token capacity
DeepSeek-V3 0324 accepts 163,840 input tokens compared to Llama 3.3 70B Instruct's 131,072 tokens. DeepSeek-V3 0324 can generate longer responses up to 163,840 tokens, while Llama 3.3 70B Instruct is limited to 131,072 tokens.
License
Usage and distribution terms
DeepSeek-V3 0324 is licensed under MIT + Model License (Commercial use allowed), 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 + Model License (Commercial use allowed)
Open weights
Llama 3.3 Community License Agreement
Open weights
Release Timeline
When each model was launched
DeepSeek-V3 0324 was released on 2025-03-25, while Llama 3.3 70B Instruct was released on 2024-12-06.
DeepSeek-V3 0324 is 4 months newer than Llama 3.3 70B Instruct.
Mar 25, 2025
1.5 years ago
3mo 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-V3 0324 is available from DeepInfra, Novita. Llama 3.3 70B Instruct is available from DeepInfra, Lambda, Hyperbolic, Groq, Sambanova, Cerebras, Bedrock, Together, Fireworks.
DeepSeek-V3 0324
Llama 3.3 70B Instruct
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek-V3 0324 and Llama 3.3 70B Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-V3 0324 vs Llama 3.3 70B Instruct.