Model Comparison

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

DeepSeek R1 Distill Qwen 7B

DeepSeek

DeepSeek R1 Distill Qwen 7B is a language model developed by DeepSeek. It achieves strong performance with an average score of 65.7% across 4 benchmarks. It excels particularly in MATH-500 (92.8%), AIME 2024 (83.3%), GPQA (49.1%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek's latest advancement in AI technology.

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 R1 Distill Qwen 7B

DeepSeek

2025-01-20

Devstral Small 1.1

Mistral AI

2025-07-11

5 months newer

Performance Metrics

Context window and performance specifications

DeepSeek R1 Distill Qwen 7B

Max Context:-

Parameters:7.6B

Devstral Small 1.1

Larger context

Max Context:256.0K

Parameters:24.0B

Performance comparison across key benchmark categories

DeepSeek R1 Distill Qwen 7B

general

+12.6%

66.2%

Devstral Small 1.1

general

53.6%

Provider Availability & Performance

Available providers and their performance metrics

DeepSeek R1 Distill Qwen 7B

0 providers

Devstral Small 1.1

1 providers

Mistral AI

Throughput: 137.1 tok/s

Latency: 0.23ms

DeepSeek R1 Distill Qwen 7B

Avg Score:0.0%

Providers:0

Devstral Small 1.1

Avg Score:0.0%

Providers:1