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 2.5 Pro Preview 06-05

Google

Gemini 2.5 Pro Preview 06-05 is a multimodal language model developed by Google. It achieves strong performance with an average score of 68.8% across 13 benchmarks. It excels particularly in Global-MMLU-Lite (89.2%), AIME 2025 (88.0%), FACTS Grounding (87.8%). With a 1.1M 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 2025, it represents Google's latest advancement in AI technology.

Cohere

Command R+

Cohere

2024-08-30

Google

Gemini 2.5 Pro Preview 06-05

Google

2025-06-05

9 months newer

Pricing Comparison

Cost per million tokens (USD)

Cohere

Command R+

$10.00 cheaper
Input:$0.25
Output:$1.00
Google

Gemini 2.5 Pro Preview 06-05

Input:$1.25
Output:$10.00

Performance Metrics

Context window and performance specifications

Cohere

Command R+

Max Context:256.0K
Parameters:104.0B
Google

Gemini 2.5 Pro Preview 06-05

Larger context
Max Context:1.1M

Performance comparison across key benchmark categories

Cohere

Command R+

factuality
56.3%
general
+5.9%
75.7%
Google

Gemini 2.5 Pro Preview 06-05

factuality
+31.5%
87.8%
general
69.8%
Knowledge Cutoff
Training data recency comparison

Gemini 2.5 Pro Preview 06-05

2025-01-31

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 2.5 Pro Preview 06-05

1 providers

Google

Throughput: 85 tok/s
Latency: 0.7ms
Cohere

Command R+

Avg Score:0.0%
Providers:2
Google

Gemini 2.5 Pro Preview 06-05

Avg Score:0.0%
Providers:1