Model Comparison

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

Cohere

Command R+

Cohere

Command R+ is a language model developed by Cohere. It achieves strong performance with an average score of 74.6% across 6 benchmarks. It excels particularly in HellaSwag (88.6%), Winogrande (85.4%), MMLU (75.7%). The model shows particular specialization in reasoning tasks with an average performance of 81.7%. It supports a 256K token context window for handling large documents. The model is available through 2 API providers. Released in 2024, it represents Cohere's latest advancement in AI technology.

DeepSeek

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.

Cohere

Command R+

Cohere

2024-08-30

DeepSeek

DeepSeek R1 Distill Qwen 7B

DeepSeek

2025-01-20

4 months newer

Performance Metrics

Context window and performance specifications

Cohere

Command R+

Larger context
Max Context:256.0K
Parameters:104.0B
DeepSeek

DeepSeek R1 Distill Qwen 7B

Max Context:-
Parameters:7.6B

Performance comparison across key benchmark categories

Cohere

Command R+

math
70.7%
general
+9.5%
75.7%
DeepSeek

DeepSeek R1 Distill Qwen 7B

math
+22.1%
92.8%
general
66.2%

Provider Availability & Performance

Available providers and their performance metrics

Cohere

Command R+

2 providers

Cohere

Throughput: 59 tok/s
Latency: 0.65ms

Bedrock

Throughput: 100 tok/s
Latency: 0.5ms
DeepSeek

DeepSeek R1 Distill Qwen 7B

0 providers
Cohere

Command R+

Avg Score:0.0%
Providers:2
DeepSeek

DeepSeek R1 Distill Qwen 7B

Avg Score:0.0%
Providers:0