Model Comparison

DeepSeek-R1 vs DeepSeek R1 Distill Llama 70B

Comparing DeepSeek-R1 and DeepSeek R1 Distill Llama 70B across benchmarks, pricing, and capabilities.

Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek-R1 and DeepSeek R1 Distill Llama 70B don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

DeepSeek R1 Distill Llama 70B costs less

For input processing, DeepSeek-R1 ($0.55/1M tokens) is 5.5x more expensive than DeepSeek R1 Distill Llama 70B ($0.10/1M tokens).

For output processing, DeepSeek-R1 ($2.19/1M tokens) is 5.5x more expensive than DeepSeek R1 Distill Llama 70B ($0.40/1M tokens).

In conclusion, DeepSeek-R1 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
Wed Apr 08 2026 • llm-stats.com
DeepSeek
DeepSeek-R1
Input tokens$0.55
Output tokens$2.19
Best providerDeepSeek
DeepSeek
DeepSeek R1 Distill Llama 70B
Input tokens$0.10
Output tokens$0.40
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

600.4B diff

DeepSeek-R1 has 600.4B more parameters than DeepSeek R1 Distill Llama 70B, making it 850.4% larger.

DeepSeek
DeepSeek-R1
671.0Bparameters
DeepSeek
DeepSeek R1 Distill Llama 70B
70.6Bparameters
671.0B
DeepSeek-R1
70.6B
DeepSeek R1 Distill Llama 70B

Context Window

Maximum input and output token capacity

DeepSeek-R1 accepts 131,072 input tokens compared to DeepSeek R1 Distill Llama 70B's 128,000 tokens. DeepSeek-R1 can generate longer responses up to 131,072 tokens, while DeepSeek R1 Distill Llama 70B is limited to 128,000 tokens.

DeepSeek
DeepSeek-R1
Input131,072 tokens
Output131,072 tokens
DeepSeek
DeepSeek R1 Distill Llama 70B
Input128,000 tokens
Output128,000 tokens
Wed Apr 08 2026 • llm-stats.com

License

Usage and distribution terms

Both models are licensed under MIT.

Both models share the same licensing terms, providing consistent usage rights.

DeepSeek-R1

MIT

Open weights

DeepSeek R1 Distill Llama 70B

MIT

Open weights

Release Timeline

When each model was launched

Both models were released on 2025-01-20.

They likely represent similar generations of model development.

DeepSeek-R1

Jan 20, 2025

1.2 years ago

DeepSeek R1 Distill Llama 70B

Jan 20, 2025

1.2 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 is available from DeepSeek, DeepInfra, Together, Fireworks. DeepSeek R1 Distill Llama 70B is available from DeepInfra.

DeepSeek-R1

deepseek logo
DeepSeek
Input Price:Input: $0.55/1MOutput Price:Output: $2.19/1M
deepinfra logo
Deepinfra
Input Price:Input: $0.85/1MOutput Price:Output: $2.50/1M
together logo
Together
Input Price:Input: $7.00/1MOutput Price:Output: $7.00/1M
fireworks logo
Fireworks
Input Price:Input: $8.00/1MOutput Price:Output: $8.00/1M

DeepSeek R1 Distill Llama 70B

deepinfra logo
Deepinfra
Input Price:Input: $0.10/1MOutput Price:Output: $0.40/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

DeepSeek
Larger context window (131,072 tokens)
DeepSeek
Less expensive input tokens
Less expensive output tokens

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-R1
DeepSeek
DeepSeek R1 Distill Llama 70B

FAQ

Common questions about DeepSeek-R1 vs DeepSeek R1 Distill Llama 70B

DeepSeek-R1 (DeepSeek) and DeepSeek R1 Distill Llama 70B (DeepSeek) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.
DeepSeek R1 Distill Llama 70B scores MATH-500: 94.5%, AIME 2024: 86.7%, GPQA: 65.2%, LiveCodeBench: 57.5%.
DeepSeek R1 Distill Llama 70B is 5.5x cheaper for input tokens. DeepSeek-R1 costs $0.55/M input and $2.19/M output via deepseek. DeepSeek R1 Distill Llama 70B costs $0.10/M input and $0.40/M output via deepinfra.
DeepSeek-R1 supports 131K tokens and DeepSeek R1 Distill Llama 70B supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (131K vs 128K), input pricing ($0.55 vs $0.10/M). See the full comparison above for benchmark-by-benchmark results.