Model Comparison

DeepSeek-V3 0324 vs Llama 3.1 70B Instruct

DeepSeek-V3 0324 significantly outperforms across most benchmarks. Llama 3.1 70B Instruct is 2.5x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

DeepSeek-V3 0324 outperforms in 2 benchmarks (GPQA, MMLU-Pro), while Llama 3.1 70B Instruct is better at 0 benchmarks.

DeepSeek-V3 0324 significantly outperforms across most benchmarks.

Sat May 30 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Llama 3.1 70B Instruct costs less

For input processing, DeepSeek-V3 0324 ($0.28/1M tokens) is 1.4x more expensive than Llama 3.1 70B Instruct ($0.20/1M tokens).

For output processing, DeepSeek-V3 0324 ($1.14/1M tokens) is 5.7x more expensive than Llama 3.1 70B Instruct ($0.20/1M tokens).

In conclusion, DeepSeek-V3 0324 is more expensive than Llama 3.1 70B Instruct.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers

Sat May 30 2026 • llm-stats.com

DeepSeek-V3 0324

Input tokens$0.28

Output tokens$1.14

Best providerNovita

Llama 3.1 70B Instruct

Input tokens$0.20

Output tokens$0.20

Best providerLambda

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Model Size

Parameter count comparison

601.0B diff

DeepSeek-V3 0324 has 601.0B more parameters than Llama 3.1 70B Instruct, making it 858.6% larger.

DeepSeek-V3 0324

671.0Bparameters

Llama 3.1 70B Instruct

70.0Bparameters

671.0B

DeepSeek-V3 0324

70.0B

Llama 3.1 70B Instruct

Context Window

Maximum input and output token capacity

DeepSeek-V3 0324 accepts 163,840 input tokens compared to Llama 3.1 70B Instruct's 128,000 tokens. DeepSeek-V3 0324 can generate longer responses up to 163,840 tokens, while Llama 3.1 70B Instruct is limited to 128,000 tokens.

DeepSeek-V3 0324

Input163,840 tokens

Output163,840 tokens

Llama 3.1 70B Instruct

Input128,000 tokens

Output128,000 tokens

Sat May 30 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-V3 0324 is licensed under MIT + Model License (Commercial use allowed), while Llama 3.1 70B Instruct uses Llama 3.1 Community License.

License differences may affect how you can use these models in commercial or open-source projects.

DeepSeek-V3 0324

MIT + Model License (Commercial use allowed)

Open weights

Llama 3.1 70B Instruct

Llama 3.1 Community License

Open weights

Release Timeline

When each model was launched

DeepSeek-V3 0324 was released on 2025-03-25, while Llama 3.1 70B Instruct was released on 2024-07-23.

DeepSeek-V3 0324 is 8 months newer than Llama 3.1 70B Instruct.

DeepSeek-V3 0324

Mar 25, 2025

1.2 years ago

8mo newer

Llama 3.1 70B Instruct

Jul 23, 2024

1.9 years ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

DeepSeek-V3 0324 is available from Novita. Llama 3.1 70B Instruct is available from Lambda, DeepInfra, Hyperbolic, Groq, Cerebras, Together, Fireworks, Bedrock, Sambanova.

DeepSeek-V3 0324

Novita

Input Price:Input: $0.28/1MOutput Price:Output: $1.14/1M

Llama 3.1 70B Instruct

Lambda

Input Price:Input: $0.20/1MOutput Price:Output: $0.20/1M

Deepinfra

Input Price:Input: $0.35/1MOutput Price:Output: $0.40/1M

Hyperbolic

Input Price:Input: $0.40/1MOutput Price:Output: $0.40/1M

Groq

Input Price:Input: $0.59/1MOutput Price:Output: $0.78/1M

Cerebras

Input Price:Input: $0.60/1MOutput Price:Output: $0.60/1M

Together

Input Price:Input: $0.89/1MOutput Price:Output: $0.89/1M

Fireworks

Input Price:Input: $0.89/1MOutput Price:Output: $0.89/1M

AWS Bedrock

Input Price:Input: $0.89/1MOutput Price:Output: $0.89/1M

Sambanova

Input Price:Input: $5.00/1MOutput Price:Output: $10.00/1M

* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

DeepSeek-V3 0324

View details

DeepSeek

Larger context window (163,840 tokens)

Higher GPQA score (68.4% vs 41.7%)

Higher MMLU-Pro score (81.2% vs 66.4%)

Llama 3.1 70B Instruct

View details

Detailed Comparison

AI Model Comparison Table
Feature	DeepSeek-V3 0324	Llama 3.1 70B Instruct

FAQ

Common questions about DeepSeek-V3 0324 vs Llama 3.1 70B Instruct.

Which is better, DeepSeek-V3 0324 or Llama 3.1 70B Instruct?

DeepSeek-V3 0324 significantly outperforms across most benchmarks. DeepSeek-V3 0324 is made by DeepSeek and Llama 3.1 70B Instruct is made by Meta. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does DeepSeek-V3 0324 compare to Llama 3.1 70B Instruct in benchmarks?

DeepSeek-V3 0324 scores MATH-500: 94.0%, MMLU-Pro: 81.2%, GPQA: 68.4%, AIME 2024: 59.4%, LiveCodeBench: 49.2%. Llama 3.1 70B Instruct scores GSM-8K (CoT): 95.1%, ARC-C: 94.8%, API-Bank: 90.0%, IFEval: 87.5%, Multilingual MGSM (CoT): 86.9%.

Is DeepSeek-V3 0324 cheaper than Llama 3.1 70B Instruct?

Llama 3.1 70B Instruct is 1.4x cheaper for input tokens. DeepSeek-V3 0324 costs $0.28/M input and $1.14/M output via novita. Llama 3.1 70B Instruct costs $0.20/M input and $0.20/M output via lambda.

What are the context window sizes for DeepSeek-V3 0324 and Llama 3.1 70B Instruct?

DeepSeek-V3 0324 supports 164K tokens and Llama 3.1 70B Instruct supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between DeepSeek-V3 0324 and Llama 3.1 70B Instruct?

Key differences include context window (164K vs 128K), input pricing ($0.28 vs $0.20/M), licensing (MIT + Model License (Commercial use allowed) vs Llama 3.1 Community License). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V3 0324 and Llama 3.1 70B Instruct?

DeepSeek-V3 0324 is developed by DeepSeek and Llama 3.1 70B Instruct is developed by Meta.