Model Comparison

DeepSeek R1 Distill Llama 70B vs Devstral Small 1.1

Comparing DeepSeek R1 Distill Llama 70B and Devstral Small 1.1 across benchmarks, pricing, and capabilities.

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek R1 Distill Llama 70B and Devstral Small 1.1 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

Devstral Small 1.1 costs less

For input processing, DeepSeek R1 Distill Llama 70B ($0.10/1M tokens) costs the same as Devstral Small 1.1 ($0.10/1M tokens).

For output processing, DeepSeek R1 Distill Llama 70B ($0.40/1M tokens) is 1.3x more expensive than Devstral Small 1.1 ($0.30/1M tokens).

In conclusion, DeepSeek R1 Distill Llama 70B is more expensive than Devstral Small 1.1.*

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

Lowest available price from all providers
Sat May 02 2026 • llm-stats.com
DeepSeek
DeepSeek R1 Distill Llama 70B
Input tokens$0.10
Output tokens$0.40
Best providerDeepinfra
Mistral AI
Devstral Small 1.1
Input tokens$0.10
Output tokens$0.30
Best providerMistral
Notice missing or incorrect data?Start an Issue

Model Size

Parameter count comparison

46.6B diff

DeepSeek R1 Distill Llama 70B has 46.6B more parameters than Devstral Small 1.1, making it 194.2% larger.

DeepSeek
DeepSeek R1 Distill Llama 70B
70.6Bparameters
Mistral AI
Devstral Small 1.1
24.0Bparameters
70.6B
DeepSeek R1 Distill Llama 70B
24.0B
Devstral Small 1.1

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
Devstral Small 1.1
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 Devstral Small 1.1 uses Apache 2.0.

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

DeepSeek R1 Distill Llama 70B

MIT

Open weights

Devstral Small 1.1

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek R1 Distill Llama 70B was released on 2025-01-20, while Devstral Small 1.1 was released on 2025-07-11.

Devstral Small 1.1 is 6 months newer than DeepSeek R1 Distill Llama 70B.

DeepSeek R1 Distill Llama 70B

Jan 20, 2025

1.3 years ago

Devstral Small 1.1

Jul 11, 2025

9 months ago

5mo newer

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. Devstral Small 1.1 is available from Mistral AI.

DeepSeek R1 Distill Llama 70B

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

Devstral Small 1.1

mistral logo
Mistral
Input Price:Input: $0.10/1MOutput Price:Output: $0.30/1M
* 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

AI Model Comparison Table
Feature
DeepSeek
DeepSeek R1 Distill Llama 70B
Mistral AI
Devstral Small 1.1

FAQ

Common questions about DeepSeek R1 Distill Llama 70B vs Devstral Small 1.1.

Which is better, DeepSeek R1 Distill Llama 70B or Devstral Small 1.1?

DeepSeek R1 Distill Llama 70B (DeepSeek) and Devstral Small 1.1 (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 Devstral Small 1.1 in benchmarks?

DeepSeek R1 Distill Llama 70B scores MATH-500: 94.5%, AIME 2024: 86.7%, GPQA: 65.2%, LiveCodeBench: 57.5%. Devstral Small 1.1 scores SWE-Bench Verified: 53.6%.

Is DeepSeek R1 Distill Llama 70B cheaper than Devstral Small 1.1?

Both models cost $0.10 per million input tokens.

What are the context window sizes for DeepSeek R1 Distill Llama 70B and Devstral Small 1.1?

DeepSeek R1 Distill Llama 70B supports 128K tokens and Devstral Small 1.1 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 Devstral Small 1.1?

Key differences include licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek R1 Distill Llama 70B and Devstral Small 1.1?

DeepSeek R1 Distill Llama 70B is developed by DeepSeek and Devstral Small 1.1 is developed by Mistral AI.