Model Comparison

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

DeepSeek

DeepSeek R1 Distill Qwen 1.5B

DeepSeek

DeepSeek R1 Distill Qwen 1.5B is a language model developed by DeepSeek. The model shows competitive results across 4 benchmarks. It excels particularly in MATH-500 (83.9%), AIME 2024 (52.7%), GPQA (33.8%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek's latest advancement in AI technology.

Mistral AI

Devstral Small 1.1

Mistral AI

Devstral Small 1.1 is a language model developed by Mistral AI. The model shows competitive results across 1 benchmarks. Notable strengths include SWE-Bench Verified (53.6%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. 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 R1 Distill Qwen 1.5B

DeepSeek

2025-01-20

Mistral AI

Devstral Small 1.1

Mistral AI

2025-07-11

5 months newer

Performance Metrics

Context window and performance specifications

DeepSeek

DeepSeek R1 Distill Qwen 1.5B

Max Context:-
Parameters:1.8B
Mistral AI

Devstral Small 1.1

Larger context
Max Context:256.0K
Parameters:24.0B

Performance comparison across key benchmark categories

DeepSeek

DeepSeek R1 Distill Qwen 1.5B

general
43.3%
Mistral AI

Devstral Small 1.1

general
+10.4%
53.6%

Provider Availability & Performance

Available providers and their performance metrics

DeepSeek

DeepSeek R1 Distill Qwen 1.5B

0 providers
Mistral AI

Devstral Small 1.1

1 providers

Mistral AI

Throughput: 137.1 tok/s
Latency: 0.23ms
DeepSeek

DeepSeek R1 Distill Qwen 1.5B

Avg Score:0.0%
Providers:0
Mistral AI

Devstral Small 1.1

Avg Score:0.0%
Providers:1