+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Command R+ vs Phi-3.5-mini-instruct
Comprehensive side-by-side LLM comparison
Phi-3.5-mini-instruct leads with 44.3% higher average benchmark score. Phi-3.5-mini-instruct is $1.05 cheaper per million tokens. Overall, Phi-3.5-mini-instruct is the stronger choice for coding tasks.
+
+
+
+
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%). 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.
+
+
+
+
Microsoft
Phi-3.5-mini-instruct is a language model developed by Microsoft. The model shows competitive results across 31 benchmarks. It excels particularly in GSM8k (86.2%), ARC-C (84.6%), RULER (84.1%). 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 2024, it represents Microsoft's latest advancement in AI technology.
7 days newer
Phi-3.5-mini-instruct
Microsoft
2024-08-23
Command R+
Cohere
2024-08-30
Pricing Comparison
Cost per million tokens (USD)
+
+
+
+
Command R+
Input:$0.25
Output:$1.00
+
+
+
+
Phi-3.5-mini-instruct
Input:$0.10
Output:$0.10($1.05 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 31 common benchmarks
+
+
+
+
Command R+
Average Score:14.4%
+
+
+
+
Phi-3.5-mini-instruct
Average Score:58.7%(+44.3%)
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
Command R+
2 providers
Bedrock
Throughput: 100 tok/s
Latency: 0.5ms
Cohere
Throughput: 59 tok/s
Latency: 0.65ms
+
+
+
+
+
+
+
+
Command R+
Avg Score:14.4%
Providers:2
+
+
+
+
Phi-3.5-mini-instruct
Avg Score:58.7%(+44.3%)
Providers:1