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.

Alibaba

Qwen2.5-Coder 32B Instruct

Alibaba

Qwen2.5-Coder 32B Instruct is a language model developed by Alibaba. It achieves strong performance with an average score of 64.9% across 15 benchmarks. It excels particularly in HumanEval (92.7%), GSM8k (91.1%), MBPP (90.2%). The model shows particular specialization in reasoning tasks with an average performance of 78.1%. It supports a 256K token context window for handling large documents. The model is available through 4 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba's latest advancement in AI technology.

Cohere

Command R+

Cohere

2024-08-30

Alibaba

Qwen2.5-Coder 32B Instruct

Alibaba

2024-09-19

20 days newer

Pricing Comparison

Cost per million tokens (USD)

Cohere

Command R+

Input:$0.25
Output:$1.00
Alibaba

Qwen2.5-Coder 32B Instruct

$1.07 cheaper
Input:$0.09
Output:$0.09

Performance Metrics

Context window and performance specifications

Cohere

Command R+

Max Context:256.0K
Parameters:104.0B
Alibaba

Qwen2.5-Coder 32B Instruct

Max Context:256.0K
Parameters:32.0B

Average performance across 6 common benchmarks

Cohere

Command R+

Average Score:74.6%
Alibaba

Qwen2.5-Coder 32B Instruct

+1.2%
Average Score:75.8%

Performance comparison across key benchmark categories

Cohere

Command R+

reasoning
+3.6%
81.7%
general
+14.2%
75.7%
math
70.7%
factuality
+2.1%
56.3%
Alibaba

Qwen2.5-Coder 32B Instruct

reasoning
78.1%
general
61.5%
math
+3.5%
74.2%
factuality
54.2%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores

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
Alibaba

Qwen2.5-Coder 32B Instruct

4 providers

Hyperbolic

Throughput: 100 tok/s
Latency: 0.5ms

DeepInfra

Throughput: 44 tok/s
Latency: 0.5ms

Fireworks

Throughput: 110 tok/s
Latency: 0.26ms

Lambda

Throughput: 42 tok/s
Latency: 0.5ms
Cohere

Command R+

Avg Score:74.6%
Providers:2
Alibaba

Qwen2.5-Coder 32B Instruct

+1.2%
Avg Score:75.8%
Providers:4