Model Comparison

DeepSeek-V2.5 vs Mistral Small 3 24B Instruct

DeepSeek-V2.5 shows notably better performance in the majority of benchmarks. Mistral Small 3 24B Instruct is 2.0x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

DeepSeek-V2.5 outperforms in 3 benchmarks (HumanEval, MATH, MT-Bench), while Mistral Small 3 24B Instruct is better at 1 benchmark (Arena Hard).

DeepSeek-V2.5 shows notably better performance in the majority of benchmarks.

Tue Apr 14 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Mistral Small 3 24B Instruct costs less

For input processing, DeepSeek-V2.5 ($0.14/1M tokens) is 2.0x more expensive than Mistral Small 3 24B Instruct ($0.07/1M tokens).

For output processing, DeepSeek-V2.5 ($0.28/1M tokens) is 2.0x more expensive than Mistral Small 3 24B Instruct ($0.14/1M tokens).

In conclusion, DeepSeek-V2.5 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
Tue Apr 14 2026 • llm-stats.com
DeepSeek
DeepSeek-V2.5
Input tokens$0.14
Output tokens$0.28
Best providerDeepSeek
Mistral AI
Mistral Small 3 24B Instruct
Input tokens$0.07
Output tokens$0.14
Best providerDeepinfra
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Model Size

Parameter count comparison

212.0B diff

DeepSeek-V2.5 has 212.0B more parameters than Mistral Small 3 24B Instruct, making it 883.3% larger.

DeepSeek
DeepSeek-V2.5
236.0Bparameters
Mistral AI
Mistral Small 3 24B Instruct
24.0Bparameters
236.0B
DeepSeek-V2.5
24.0B
Mistral Small 3 24B Instruct

Context Window

Maximum input and output token capacity

Mistral Small 3 24B Instruct accepts 32,000 input tokens compared to DeepSeek-V2.5's 8,192 tokens. Mistral Small 3 24B Instruct can generate longer responses up to 32,000 tokens, while DeepSeek-V2.5 is limited to 8,192 tokens.

DeepSeek
DeepSeek-V2.5
Input8,192 tokens
Output8,192 tokens
Mistral AI
Mistral Small 3 24B Instruct
Input32,000 tokens
Output32,000 tokens
Tue Apr 14 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-V2.5 is licensed under deepseek, 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-V2.5

deepseek

Open weights

Mistral Small 3 24B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek-V2.5 was released on 2024-05-08, while Mistral Small 3 24B Instruct was released on 2025-01-30.

Mistral Small 3 24B Instruct is 9 months newer than DeepSeek-V2.5.

DeepSeek-V2.5

May 8, 2024

1.9 years ago

Mistral Small 3 24B Instruct

Jan 30, 2025

1.2 years ago

8mo newer

Knowledge Cutoff

When training data ends

Mistral Small 3 24B Instruct has a documented knowledge cutoff of 2023-10-01, while DeepSeek-V2.5'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-V2.5's cutoff date.

DeepSeek-V2.5

—

Mistral Small 3 24B Instruct

Oct 2023

Provider Availability

DeepSeek-V2.5 is available from DeepSeek, DeepInfra, Hyperbolic. Mistral Small 3 24B Instruct is available from DeepInfra, Mistral AI.

DeepSeek-V2.5

deepseek logo
DeepSeek
Input Price:Input: $0.14/1MOutput Price:Output: $0.28/1M
deepinfra logo
Deepinfra
Input Price:Input: $0.70/1MOutput Price:Output: $1.40/1M
hyperbolic logo
Hyperbolic
Input Price:Input: $2.00/1MOutput Price:Output: $2.00/1M

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
Higher HumanEval score (89.0% vs 84.8%)
Higher MATH score (74.7% vs 70.6%)
Higher MT-Bench score (90.2% vs 83.5%)
Mistral AI
Larger context window (32,000 tokens)
Less expensive input tokens
Less expensive output tokens
Higher Arena Hard score (87.6% vs 76.2%)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V2.5
Mistral AI
Mistral Small 3 24B Instruct

FAQ

Common questions about DeepSeek-V2.5 vs Mistral Small 3 24B Instruct

DeepSeek-V2.5 shows notably better performance in the majority of benchmarks. DeepSeek-V2.5 is made by DeepSeek and Mistral Small 3 24B Instruct is made by Mistral AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
DeepSeek-V2.5 scores GSM8k: 95.1%, MT-Bench: 90.2%, HumanEval: 89.0%, BBH: 84.3%, AlignBench: 80.4%. 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 2.0x cheaper for input tokens. DeepSeek-V2.5 costs $0.14/M input and $0.28/M output via deepseek. Mistral Small 3 24B Instruct costs $0.07/M input and $0.14/M output via deepinfra.
DeepSeek-V2.5 supports 8K 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 (8K vs 32K), input pricing ($0.14 vs $0.07/M), licensing (deepseek vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
DeepSeek-V2.5 is developed by DeepSeek and Mistral Small 3 24B Instruct is developed by Mistral AI.