Model Comparison

DeepSeek R1 Distill Llama 70B vs Llama 3.1 405B Instruct

DeepSeek R1 Distill Llama 70B significantly outperforms across most benchmarks. DeepSeek R1 Distill Llama 70B is 5.1x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

DeepSeek R1 Distill Llama 70B outperforms in 1 benchmarks (GPQA), while Llama 3.1 405B Instruct is better at 0 benchmarks.

DeepSeek R1 Distill Llama 70B significantly outperforms across most benchmarks.

Sat May 02 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

DeepSeek R1 Distill Llama 70B costs less

For input processing, DeepSeek R1 Distill Llama 70B ($0.10/1M tokens) is 8.9x cheaper than Llama 3.1 405B Instruct ($0.89/1M tokens).

For output processing, DeepSeek R1 Distill Llama 70B ($0.40/1M tokens) is 2.2x cheaper than Llama 3.1 405B Instruct ($0.89/1M tokens).

In conclusion, Llama 3.1 405B Instruct is more expensive than DeepSeek R1 Distill Llama 70B.*

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

Lowest available price from all providers

Sat May 02 2026 • llm-stats.com

DeepSeek R1 Distill Llama 70B

Input tokens$0.10

Output tokens$0.40

Best providerDeepinfra

Llama 3.1 405B Instruct

Input tokens$0.89

Output tokens$0.89

Best providerLambda

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Model Size

Parameter count comparison

334.4B diff

Llama 3.1 405B Instruct has 334.4B more parameters than DeepSeek R1 Distill Llama 70B, making it 473.7% larger.

DeepSeek R1 Distill Llama 70B

70.6Bparameters

Llama 3.1 405B Instruct

405.0Bparameters

70.6B

DeepSeek R1 Distill Llama 70B

405.0B

Llama 3.1 405B Instruct

Context Window

Maximum input and output token capacity

Both models have the same input context window of 128,000 tokens. Both models can generate responses up to 128,000 tokens.

DeepSeek R1 Distill Llama 70B

Input128,000 tokens

Output128,000 tokens

Llama 3.1 405B Instruct

Input128,000 tokens

Output128,000 tokens

Sat May 02 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek R1 Distill Llama 70B is licensed under MIT, while Llama 3.1 405B Instruct uses Llama 3.1 Community License.

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

DeepSeek R1 Distill Llama 70B

MIT

Open weights

Llama 3.1 405B Instruct

Llama 3.1 Community License

Open weights

Release Timeline

When each model was launched

DeepSeek R1 Distill Llama 70B was released on 2025-01-20, while Llama 3.1 405B Instruct was released on 2024-07-23.

DeepSeek R1 Distill Llama 70B is 6 months newer than Llama 3.1 405B Instruct.

DeepSeek R1 Distill Llama 70B

Jan 20, 2025

1.3 years ago

6mo newer

Llama 3.1 405B Instruct

Jul 23, 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.

No cutoff dates available

Provider Availability

DeepSeek R1 Distill Llama 70B is available from DeepInfra. Llama 3.1 405B Instruct is available from Lambda, DeepInfra, Fireworks, Bedrock, Together, Hyperbolic, Google, Replicate.

DeepSeek R1 Distill Llama 70B

Deepinfra

Input Price:Input: $0.10/1MOutput Price:Output: $0.40/1M

Llama 3.1 405B Instruct

Lambda

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

Deepinfra

Input Price:Input: $1.79/1MOutput Price:Output: $1.79/1M

Fireworks

Input Price:Input: $3.00/1MOutput Price:Output: $3.00/1M

AWS Bedrock

Input Price:Input: $3.00/1MOutput Price:Output: $3.00/1M

Together

Input Price:Input: $3.50/1MOutput Price:Output: $3.50/1M

Hyperbolic

Input Price:Input: $4.00/1MOutput Price:Output: $4.00/1M

Google

Input Price:Input: $5.00/1MOutput Price:Output: $16.00/1M

Replicate

Input Price:Input: $9.50/1MOutput Price:Output: $9.50/1M

* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

DeepSeek R1 Distill Llama 70B

View details

DeepSeek

Less expensive input tokens

Less expensive output tokens

Higher GPQA score (65.2% vs 50.7%)

Detailed Comparison

AI Model Comparison Table
Feature	DeepSeek R1 Distill Llama 70B	Llama 3.1 405B Instruct

FAQ

Common questions about DeepSeek R1 Distill Llama 70B vs Llama 3.1 405B Instruct.

Which is better, DeepSeek R1 Distill Llama 70B or Llama 3.1 405B Instruct?

DeepSeek R1 Distill Llama 70B significantly outperforms across most benchmarks. DeepSeek R1 Distill Llama 70B is made by DeepSeek and Llama 3.1 405B Instruct is made by Meta. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does DeepSeek R1 Distill Llama 70B compare to Llama 3.1 405B Instruct in benchmarks?

DeepSeek R1 Distill Llama 70B scores MATH-500: 94.5%, AIME 2024: 86.7%, GPQA: 65.2%, LiveCodeBench: 57.5%. Llama 3.1 405B Instruct scores ARC-C: 96.9%, GSM8k: 96.8%, API-Bank: 92.0%, Multilingual MGSM (CoT): 91.6%, HumanEval: 89.0%.

Is DeepSeek R1 Distill Llama 70B cheaper than Llama 3.1 405B Instruct?

DeepSeek R1 Distill Llama 70B is 8.9x cheaper for input tokens. DeepSeek R1 Distill Llama 70B costs $0.10/M input and $0.40/M output via deepinfra. Llama 3.1 405B Instruct costs $0.89/M input and $0.89/M output via lambda.

What are the context window sizes for DeepSeek R1 Distill Llama 70B and Llama 3.1 405B Instruct?

DeepSeek R1 Distill Llama 70B supports 128K tokens and Llama 3.1 405B 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 R1 Distill Llama 70B and Llama 3.1 405B Instruct?

Key differences include input pricing ($0.10 vs $0.89/M), licensing (MIT vs Llama 3.1 Community License). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek R1 Distill Llama 70B and Llama 3.1 405B Instruct?

DeepSeek R1 Distill Llama 70B is developed by DeepSeek and Llama 3.1 405B Instruct is developed by Meta.