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.

Google

Gemini 1.5 Pro

Google

Gemini 1.5 Pro is a multimodal language model developed by Google. It achieves strong performance with an average score of 72.6% across 23 benchmarks. It excels particularly in XSTest (98.8%), HellaSwag (93.3%), GSM8k (90.8%). With a 2.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents Google's latest advancement in AI technology.

Google

Gemini 1.5 Pro

Google

2024-05-01

Cohere

Command R+

Cohere

2024-08-30

4 months newer

Pricing Comparison

Cost per million tokens (USD)

Cohere

Command R+

$11.25 cheaper
Input:$0.25
Output:$1.00
Google

Gemini 1.5 Pro

Input:$2.50
Output:$10.00

Performance Metrics

Context window and performance specifications

Cohere

Command R+

Max Context:256.0K
Parameters:104.0B
Google

Gemini 1.5 Pro

Larger context
Max Context:2.1M

Average performance across 3 common benchmarks

Cohere

Command R+

Average Score:78.3%
Google

Gemini 1.5 Pro

+11.7%
Average Score:90.0%

Performance comparison across key benchmark categories

Cohere

Command R+

reasoning
81.7%
general
+6.8%
75.7%
math
70.7%
Google

Gemini 1.5 Pro

reasoning
+11.6%
93.3%
general
68.9%
math
+4.2%
74.9%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Gemini 1.5 Pro

2023-11-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

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
Google

Gemini 1.5 Pro

1 providers

Google

Throughput: 85 tok/s
Latency: 0.7ms
Cohere

Command R+

Avg Score:78.3%
Providers:2
Google

Gemini 1.5 Pro

+11.7%
Avg Score:90.0%
Providers:1