Model Comparison

DeepSeek-R1 vs Mistral Small 3.1 24B Base

Comparing DeepSeek-R1 and Mistral Small 3.1 24B Base across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek-R1 and Mistral Small 3.1 24B Base 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

Mistral Small 3.1 24B Base costs less

For input processing, DeepSeek-R1 ($0.55/1M tokens) is 5.5x more expensive than Mistral Small 3.1 24B Base ($0.10/1M tokens).

For output processing, DeepSeek-R1 ($2.19/1M tokens) is 7.3x more expensive than Mistral Small 3.1 24B Base ($0.30/1M tokens).

In conclusion, DeepSeek-R1 is more expensive than Mistral Small 3.1 24B Base.*

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

Lowest available price from all providers
Thu Apr 02 2026 • llm-stats.com
DeepSeek
DeepSeek-R1
Input tokens$0.55
Output tokens$2.19
Best providerDeepSeek
Mistral AI
Mistral Small 3.1 24B Base
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 Mistral Small 3.1 24B Base, making it 2695.8% larger.

DeepSeek
DeepSeek-R1
671.0Bparameters
Mistral AI
Mistral Small 3.1 24B Base
24.0Bparameters
671.0B
DeepSeek-R1
24.0B
Mistral Small 3.1 24B Base

Context Window

Maximum input and output token capacity

DeepSeek-R1 accepts 131,072 input tokens compared to Mistral Small 3.1 24B Base's 128,000 tokens. DeepSeek-R1 can generate longer responses up to 131,072 tokens, while Mistral Small 3.1 24B Base is limited to 128,000 tokens.

DeepSeek
DeepSeek-R1
Input131,072 tokens
Output131,072 tokens
Mistral AI
Mistral Small 3.1 24B Base
Input128,000 tokens
Output128,000 tokens
Thu Apr 02 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Mistral Small 3.1 24B Base supports multimodal inputs, whereas DeepSeek-R1 does not.

Mistral Small 3.1 24B Base can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek-R1

Text
Images
Audio
Video

Mistral Small 3.1 24B Base

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-R1 is licensed under MIT, while Mistral Small 3.1 24B Base 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

Mistral Small 3.1 24B Base

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek-R1 was released on 2025-01-20, while Mistral Small 3.1 24B Base was released on 2025-03-17.

Mistral Small 3.1 24B Base is 2 months newer than DeepSeek-R1.

DeepSeek-R1

Jan 20, 2025

1.2 years ago

Mistral Small 3.1 24B Base

Mar 17, 2025

1.0 years ago

1mo 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. Mistral Small 3.1 24B Base 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

Mistral Small 3.1 24B Base

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

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

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-R1
Mistral AI
Mistral Small 3.1 24B Base

FAQ

Common questions about DeepSeek-R1 vs Mistral Small 3.1 24B Base

DeepSeek-R1 (DeepSeek) and Mistral Small 3.1 24B Base (Mistral AI) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.
Mistral Small 3.1 24B Base scores MMLU: 81.0%, TriviaQA: 80.5%, MMMU: 59.3%, MMLU-Pro: 56.0%, GPQA: 37.5%.
Mistral Small 3.1 24B Base is 5.5x cheaper for input tokens. DeepSeek-R1 costs $0.55/M input and $2.19/M output via deepseek. Mistral Small 3.1 24B Base costs $0.10/M input and $0.30/M output via mistral.
DeepSeek-R1 supports 131K tokens and Mistral Small 3.1 24B Base 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), multimodal support (no vs yes), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
DeepSeek-R1 is developed by DeepSeek and Mistral Small 3.1 24B Base is developed by Mistral AI.