Model Comparison

DeepSeek-R1 vs Devstral Small 1.1Which is better in 2026?

Comparing DeepSeek-R1 and Devstral Small 1.1 across benchmarks, pricing, and capabilities.

Verdict: DeepSeek-R1 vs Devstral Small 1.1 — which is better?

DeepSeek-R1 (by DeepSeek) and Devstral Small 1.1 (by Mistral AI) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

On price, Devstral Small 1.1 is roughly 6.4x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

DeepSeek-R1 also accepts a larger context window (131,072 input tokens), making it the stronger choice for long documents and large codebases.

Choose DeepSeek-R1 if…

  • you process long inputs — it offers a 131,072 token context window

Choose Devstral Small 1.1 if…

  • cost matters — it's about 6.4x cheaper per token
  • you want the most recent training data — it shipped Jul 2025
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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek-R1 and Devstral Small 1.1don'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 ($0.55/1M tokens) is 5.5x more expensive than Devstral Small 1.1 ($0.10/1M tokens).

For output processing, DeepSeek-R1 ($2.19/1M tokens) is 7.3x more expensive than Devstral Small 1.1 ($0.30/1M tokens).

In conclusion, DeepSeek-R1 is more expensive than Devstral Small 1.1.*

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

Lowest available price from all providers
Thu Jun 25 2026 • llm-stats.com
DeepSeek
DeepSeek-R1
Input tokens$0.55
Output tokens$2.19
Best providerDeepSeek
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

647.0B diff

DeepSeek-R1 has 647.0B more parameters than Devstral Small 1.1, making it 2695.8% larger.

DeepSeek
DeepSeek-R1
671.0Bparameters
Mistral AI
Devstral Small 1.1
24.0Bparameters
671.0B
DeepSeek-R1
24.0B
Devstral Small 1.1

Context Window

Maximum input and output token capacity

DeepSeek-R1 accepts 131,072 input tokens compared to Devstral Small 1.1's 128,000 tokens. DeepSeek-R1 can generate longer responses up to 131,072 tokens, while Devstral Small 1.1 is limited to 128,000 tokens.

DeepSeek
DeepSeek-R1
Input131,072 tokens
Output131,072 tokens
Mistral AI
Devstral Small 1.1
Input128,000 tokens
Output128,000 tokens
Thu Jun 25 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-R1 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

MIT

Open weights

Devstral Small 1.1

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek-R1 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.

DeepSeek-R1

Jan 20, 2025

1.4 years ago

Devstral Small 1.1

Jul 11, 2025

11 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 is available from DeepSeek, DeepInfra, Together, Fireworks. Devstral Small 1.1 is available from Mistral AI.

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

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

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

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

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-R1
Mistral AI
Devstral Small 1.1

FAQ

Common questions about DeepSeek-R1 vs Devstral Small 1.1.

Which is better, DeepSeek-R1 or Devstral Small 1.1?

DeepSeek-R1 (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 compare to Devstral Small 1.1 in benchmarks?

Devstral Small 1.1 scores SWE-Bench Verified: 53.6%.

Is DeepSeek-R1 cheaper than Devstral Small 1.1?

Devstral Small 1.1 is 5.5x cheaper for input tokens. DeepSeek-R1 costs $0.55/M input and $2.19/M output via deepseek. Devstral Small 1.1 costs $0.10/M input and $0.30/M output via mistral.

What are the context window sizes for DeepSeek-R1 and Devstral Small 1.1?

DeepSeek-R1 supports 131K 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 and Devstral Small 1.1?

Key differences include context window (131K vs 128K), input pricing ($0.55 vs $0.10/M), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-R1 and Devstral Small 1.1?

DeepSeek-R1 is developed by DeepSeek and Devstral Small 1.1 is developed by Mistral AI.

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