Model Comparison

DeepSeek-V3.2-Speciale vs Mistral Small 3 24B Instruct

Comparing DeepSeek-V3.2-Speciale and Mistral Small 3 24B Instruct across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek-V3.2-Speciale and Mistral Small 3 24B 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

Mistral Small 3 24B Instruct costs less

For input processing, DeepSeek-V3.2-Speciale ($0.28/1M tokens) is 4.0x more expensive than Mistral Small 3 24B Instruct ($0.07/1M tokens).

For output processing, DeepSeek-V3.2-Speciale ($0.42/1M tokens) is 3.0x more expensive than Mistral Small 3 24B Instruct ($0.14/1M tokens).

In conclusion, DeepSeek-V3.2-Speciale is more expensive than Mistral Small 3 24B Instruct.*

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

Lowest available price from all providers
Wed Apr 29 2026 • llm-stats.com
DeepSeek
DeepSeek-V3.2-Speciale
Input tokens$0.28
Output tokens$0.42
Best providerDeepSeek
Mistral AI
Mistral Small 3 24B Instruct
Input tokens$0.07
Output tokens$0.14
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

661.0B diff

DeepSeek-V3.2-Speciale has 661.0B more parameters than Mistral Small 3 24B Instruct, making it 2754.2% larger.

DeepSeek
DeepSeek-V3.2-Speciale
685.0Bparameters
Mistral AI
Mistral Small 3 24B Instruct
24.0Bparameters
685.0B
DeepSeek-V3.2-Speciale
24.0B
Mistral Small 3 24B Instruct

Context Window

Maximum input and output token capacity

DeepSeek-V3.2-Speciale accepts 131,072 input tokens compared to Mistral Small 3 24B Instruct's 32,000 tokens. DeepSeek-V3.2-Speciale can generate longer responses up to 131,072 tokens, while Mistral Small 3 24B Instruct is limited to 32,000 tokens.

DeepSeek
DeepSeek-V3.2-Speciale
Input131,072 tokens
Output131,072 tokens
Mistral AI
Mistral Small 3 24B Instruct
Input32,000 tokens
Output32,000 tokens
Wed Apr 29 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-V3.2-Speciale is licensed under MIT, while Mistral Small 3 24B Instruct uses Apache 2.0.

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

DeepSeek-V3.2-Speciale

MIT

Open weights

Mistral Small 3 24B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek-V3.2-Speciale was released on 2025-12-01, while Mistral Small 3 24B Instruct was released on 2025-01-30.

DeepSeek-V3.2-Speciale is 10 months newer than Mistral Small 3 24B Instruct.

DeepSeek-V3.2-Speciale

Dec 1, 2025

4 months ago

10mo newer
Mistral Small 3 24B Instruct

Jan 30, 2025

1.2 years ago

Knowledge Cutoff

When training data ends

Mistral Small 3 24B Instruct has a documented knowledge cutoff of 2023-10-01, while DeepSeek-V3.2-Speciale's cutoff date is not specified.

We can confirm Mistral Small 3 24B Instruct's training data extends to 2023-10-01, but cannot make a direct comparison without DeepSeek-V3.2-Speciale's cutoff date.

DeepSeek-V3.2-Speciale

—

Mistral Small 3 24B Instruct

Oct 2023

Provider Availability

DeepSeek-V3.2-Speciale is available from DeepSeek. Mistral Small 3 24B Instruct is available from DeepInfra, Mistral AI.

DeepSeek-V3.2-Speciale

deepseek logo
DeepSeek
Input Price:Input: $0.28/1MOutput Price:Output: $0.42/1M

Mistral Small 3 24B Instruct

deepinfra logo
Deepinfra
Input Price:Input: $0.07/1MOutput Price:Output: $0.14/1M
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
Less expensive input tokens
Less expensive output tokens

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V3.2-Speciale
Mistral AI
Mistral Small 3 24B Instruct

FAQ

Common questions about DeepSeek-V3.2-Speciale vs Mistral Small 3 24B Instruct

DeepSeek-V3.2-Speciale (DeepSeek) and Mistral Small 3 24B 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.
DeepSeek-V3.2-Speciale scores HMMT 2025: 99.2%, AIME 2025: 96.0%, CodeForces: 90.0%, t2-bench: 80.3%, SWE-Bench Verified: 73.1%. Mistral Small 3 24B Instruct scores Arena Hard: 87.6%, HumanEval: 84.8%, MT-Bench: 83.5%, IFEval: 82.9%, MATH: 70.6%.
Mistral Small 3 24B Instruct is 4.0x cheaper for input tokens. DeepSeek-V3.2-Speciale costs $0.28/M input and $0.42/M output via deepseek. Mistral Small 3 24B Instruct costs $0.07/M input and $0.14/M output via deepinfra.
DeepSeek-V3.2-Speciale supports 131K tokens and Mistral Small 3 24B Instruct supports 32K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (131K vs 32K), input pricing ($0.28 vs $0.07/M), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
DeepSeek-V3.2-Speciale is developed by DeepSeek and Mistral Small 3 24B Instruct is developed by Mistral AI.