DeepSeek R1 Distill Llama 70B vs DeepSeek-V3.1 Comparison

Comparing DeepSeek R1 Distill Llama 70B and DeepSeek-V3.1 across benchmarks, pricing, and capabilities.

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

DeepSeek R1 Distill Llama 70B outperforms in 2 benchmarks (AIME 2024, LiveCodeBench), while DeepSeek-V3.1 is better at 1 benchmark (GPQA).

DeepSeek R1 Distill Llama 70B shows notably better performance in the majority of benchmarks.

Tue Mar 17 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 2.7x cheaper than DeepSeek-V3.1 ($0.27/1M tokens).

For output processing, DeepSeek R1 Distill Llama 70B ($0.40/1M tokens) is 2.5x cheaper than DeepSeek-V3.1 ($1.00/1M tokens).

In conclusion, DeepSeek-V3.1 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
Tue Mar 17 2026 • llm-stats.com
DeepSeek
DeepSeek R1 Distill Llama 70B
Input tokens$0.10
Output tokens$0.40
Best providerDeepinfra
DeepSeek
DeepSeek-V3.1
Input tokens$0.27
Output tokens$1.00
Best providerDeepinfra
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Model Size

Parameter count comparison

600.4B diff

DeepSeek-V3.1 has 600.4B more parameters than DeepSeek R1 Distill Llama 70B, making it 850.4% larger.

DeepSeek
DeepSeek R1 Distill Llama 70B
70.6Bparameters
DeepSeek
DeepSeek-V3.1
671.0Bparameters
70.6B
DeepSeek R1 Distill Llama 70B
671.0B
DeepSeek-V3.1

Context Window

Maximum input and output token capacity

DeepSeek-V3.1 accepts 163,840 input tokens compared to DeepSeek R1 Distill Llama 70B's 128,000 tokens. DeepSeek-V3.1 can generate longer responses up to 163,840 tokens, while DeepSeek R1 Distill Llama 70B is limited to 128,000 tokens.

DeepSeek
DeepSeek R1 Distill Llama 70B
Input128,000 tokens
Output128,000 tokens
DeepSeek
DeepSeek-V3.1
Input163,840 tokens
Output163,840 tokens
Tue Mar 17 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 Distill Llama 70B

MIT

Open weights

DeepSeek-V3.1

MIT

Open weights

Release Timeline

When each model was launched

DeepSeek R1 Distill Llama 70B was released on 2025-01-20, while DeepSeek-V3.1 was released on 2025-01-10.

DeepSeek R1 Distill Llama 70B is 0 month newer than DeepSeek-V3.1.

DeepSeek R1 Distill Llama 70B

Jan 20, 2025

1.2 years ago

1w newer
DeepSeek-V3.1

Jan 10, 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 Distill Llama 70B is available from DeepInfra. DeepSeek-V3.1 is available from DeepInfra, Novita. The availability of providers can affect quality of the model and reliability.

DeepSeek R1 Distill Llama 70B

deepinfra logo
Deepinfra
Input Price:Input: $0.10/1MOutput Price:Output: $0.40/1M

DeepSeek-V3.1

deepinfra logo
Deepinfra
Input Price:Input: $0.27/1MOutput Price:Output: $1.00/1M
novita logo
Novita
Input Price:Input: $0.27/1MOutput Price:Output: $1.00/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Less expensive input tokens
Less expensive output tokens
Higher AIME 2024 score (86.7% vs 66.3%)
Higher LiveCodeBench score (57.5% vs 56.4%)
Larger context window (163,840 tokens)
Higher GPQA score (74.9% vs 65.2%)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek R1 Distill Llama 70B
DeepSeek
DeepSeek-V3.1