Model Comparison
Llama 3.1 70B Instruct vs DeepSeek-V3Which is better in 2026?
DeepSeek-V3 significantly outperforms across most benchmarks. Llama 3.1 70B Instruct is 2.4x cheaper per token.
Verdict: Llama 3.1 70B Instruct vs DeepSeek-V3 — which is better?
Llama 3.1 70B Instruct (by Meta) and DeepSeek-V3 (by DeepSeek) 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.
Llama 3.1 70B Instruct outperforms in 1 benchmarks (IFEval), while DeepSeek-V3 is better at 4 benchmarks (DROP, GPQA, MMLU, MMLU-Pro). DeepSeek-V3 significantly outperforms across most benchmarks.
On price, Llama 3.1 70B Instruct is roughly 2.4x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
DeepSeek-V3 also accepts a larger context window (131,072 input tokens), making it the stronger choice for long documents and large codebases.
Choose Llama 3.1 70B Instruct if…
- cost matters — it's about 2.4x cheaper per token
Choose DeepSeek-V3 if…
- you want the strongest raw capability — it leads on 4 of 5 shared benchmarks
- you process long inputs — it offers a 131,072 token context window
- you want the most recent training data — it shipped Dec 2024
Performance Benchmarks
Comparative analysis across standard metrics
Llama 3.1 70B Instruct outperforms in 1 benchmarks (IFEval), while DeepSeek-V3 is better at 4 benchmarks (DROP, GPQA, MMLU, MMLU-Pro).
DeepSeek-V3 significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Llama 3.1 70B Instruct ($0.20/1M tokens) is 1.4x cheaper than DeepSeek-V3 ($0.27/1M tokens).
For output processing, Llama 3.1 70B Instruct ($0.20/1M tokens) is 5.5x cheaper than DeepSeek-V3 ($1.10/1M tokens).
In conclusion, DeepSeek-V3 is more expensive than Llama 3.1 70B Instruct.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
DeepSeek-V3 has 601.0B more parameters than Llama 3.1 70B Instruct, making it 858.6% larger.
Context Window
Maximum input and output token capacity
DeepSeek-V3 accepts 131,072 input tokens compared to Llama 3.1 70B Instruct's 128,000 tokens. DeepSeek-V3 can generate longer responses up to 131,072 tokens, while Llama 3.1 70B Instruct is limited to 128,000 tokens.
License
Usage and distribution terms
Llama 3.1 70B Instruct is licensed under Llama 3.1 Community License, while DeepSeek-V3 uses MIT + Model License (Commercial use allowed).
License differences may affect how you can use these models in commercial or open-source projects.
Llama 3.1 Community License
Open weights
MIT + Model License (Commercial use allowed)
Open weights
Release Timeline
When each model was launched
Llama 3.1 70B Instruct was released on 2024-07-23, while DeepSeek-V3 was released on 2024-12-25.
DeepSeek-V3 is 5 months newer than Llama 3.1 70B Instruct.
Jul 23, 2024
2.0 years ago
Dec 25, 2024
1.6 years ago
5mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Llama 3.1 70B Instruct is available from Lambda, DeepInfra, Hyperbolic, Groq, Cerebras, Together, Fireworks, Bedrock, Sambanova. DeepSeek-V3 is available from DeepSeek.
Llama 3.1 70B Instruct
DeepSeek-V3
Outputs Comparison
Key Takeaways
DeepSeek-V3
View detailsDeepSeek
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against Llama 3.1 70B Instruct and DeepSeek-V3 side-by-side, then vote on the output you prefer.
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FAQ
Common questions about Llama 3.1 70B Instruct vs DeepSeek-V3.