Model Comparison

DeepSeek R1 Distill Llama 70B vs Ministral 8B Instruct

Comparing DeepSeek R1 Distill Llama 70B and Ministral 8B Instruct across benchmarks, pricing, and capabilities.

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek R1 Distill Llama 70B and Ministral 8B Instruct 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

Ministral 8B Instruct costs less

For input processing, DeepSeek R1 Distill Llama 70B ($0.10/1M tokens) costs the same as Ministral 8B Instruct ($0.10/1M tokens).

For output processing, DeepSeek R1 Distill Llama 70B ($0.40/1M tokens) is 4.0x more expensive than Ministral 8B Instruct ($0.10/1M tokens).

In conclusion, DeepSeek R1 Distill Llama 70B is more expensive than Ministral 8B Instruct.*

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

Lowest available price from all providers
Tue May 26 2026 • llm-stats.com
DeepSeek
DeepSeek R1 Distill Llama 70B
Input tokens$0.10
Output tokens$0.40
Best providerDeepinfra
Mistral AI
Ministral 8B Instruct
Input tokens$0.10
Output tokens$0.10
Best providerMistral
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Model Size

Parameter count comparison

62.6B diff

DeepSeek R1 Distill Llama 70B has 62.6B more parameters than Ministral 8B Instruct, making it 780.3% larger.

DeepSeek
DeepSeek R1 Distill Llama 70B
70.6Bparameters
Mistral AI
Ministral 8B Instruct
8.0Bparameters
70.6B
DeepSeek R1 Distill Llama 70B
8.0B
Ministral 8B 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
DeepSeek R1 Distill Llama 70B
Input128,000 tokens
Output128,000 tokens
Mistral AI
Ministral 8B Instruct
Input128,000 tokens
Output128,000 tokens
Tue May 26 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek R1 Distill Llama 70B is licensed under MIT, while Ministral 8B Instruct uses Mistral Research 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

Ministral 8B Instruct

Mistral Research License

Open weights

Release Timeline

When each model was launched

DeepSeek R1 Distill Llama 70B was released on 2025-01-20, while Ministral 8B Instruct was released on 2024-10-16.

DeepSeek R1 Distill Llama 70B is 3 months newer than Ministral 8B Instruct.

DeepSeek R1 Distill Llama 70B

Jan 20, 2025

1.3 years ago

3mo newer
Ministral 8B Instruct

Oct 16, 2024

1.6 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. Ministral 8B Instruct is available from Mistral AI.

DeepSeek R1 Distill Llama 70B

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

Ministral 8B Instruct

mistral logo
Mistral
Input Price:Input: $0.10/1MOutput Price:Output: $0.10/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

No standout differentiators in the data we have for this pair.

Less expensive output tokens

Detailed Comparison

FAQ

Common questions about DeepSeek R1 Distill Llama 70B vs Ministral 8B Instruct.

Which is better, DeepSeek R1 Distill Llama 70B or Ministral 8B Instruct?

DeepSeek R1 Distill Llama 70B (DeepSeek) and Ministral 8B Instruct (Mistral AI) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does DeepSeek R1 Distill Llama 70B compare to Ministral 8B Instruct in benchmarks?

DeepSeek R1 Distill Llama 70B scores MATH-500: 94.5%, AIME 2024: 86.7%, GPQA: 65.2%, LiveCodeBench: 57.5%. Ministral 8B Instruct scores MT-Bench: 83.0%, Winogrande: 75.3%, ARC-C: 71.9%, Arena Hard: 70.9%, MBPP pass@1: 70.0%.

Is DeepSeek R1 Distill Llama 70B cheaper than Ministral 8B Instruct?

Both models cost $0.10 per million input tokens.

What are the context window sizes for DeepSeek R1 Distill Llama 70B and Ministral 8B Instruct?

DeepSeek R1 Distill Llama 70B supports 128K tokens and Ministral 8B 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 Ministral 8B Instruct?

Key differences include licensing (MIT vs Mistral Research License). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek R1 Distill Llama 70B and Ministral 8B Instruct?

DeepSeek R1 Distill Llama 70B is developed by DeepSeek and Ministral 8B Instruct is developed by Mistral AI.