Model Comparison

Comprehensive side-by-side analysis of model capabilities and performance

DeepSeek

DeepSeek-V2.5

DeepSeek

DeepSeek-V2.5 is a language model developed by DeepSeek. It achieves strong performance with an average score of 71.1% across 15 benchmarks. It excels particularly in GSM8k (95.1%), MT-Bench (90.2%), HumanEval (89.0%). The model is available through 3 API providers. Released in 2024, it represents DeepSeek's latest advancement in AI technology.

Mistral AI

Magistral Small 2506

Mistral AI

Magistral Small 2506 is a language model developed by Mistral AI. It achieves strong performance with an average score of 63.2% across 4 benchmarks. Notable strengths include AIME 2024 (70.7%), GPQA (68.2%), AIME 2025 (62.8%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Mistral AI's latest advancement in AI technology.

DeepSeek

DeepSeek-V2.5

DeepSeek

2024-05-08

Mistral AI

Magistral Small 2506

Mistral AI

2025-06-10

1 year newer

Performance Metrics

Context window and performance specifications

DeepSeek

DeepSeek-V2.5

Larger context
Max Context:16.4K
Parameters:236.0B
Mistral AI

Magistral Small 2506

Max Context:-
Parameters:24.0B

Performance comparison across key benchmark categories

DeepSeek

DeepSeek-V2.5

general
+1.2%
68.4%
code
+14.8%
66.1%
Mistral AI

Magistral Small 2506

general
67.2%
code
51.3%
Knowledge Cutoff
Training data recency comparison

Magistral Small 2506

2025-06-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

DeepSeek

DeepSeek-V2.5

3 providers

Hyperbolic

Throughput: 100 tok/s
Latency: 0.5ms

DeepInfra

Throughput: 63 tok/s
Latency: 0.5ms

DeepSeek

Throughput: 100 tok/s
Latency: 0.5ms
Mistral AI

Magistral Small 2506

0 providers
DeepSeek

DeepSeek-V2.5

Avg Score:0.0%
Providers:3
Mistral AI

Magistral Small 2506

Avg Score:0.0%
Providers:0