Model Comparison

Command R+ vs Gemini 2.0 Flash Thinking

Comparing Command R+ and Gemini 2.0 Flash Thinking across benchmarks, pricing, and capabilities.

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Command R+ and Gemini 2.0 Flash Thinking don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

CallingBox

Done comparing? Ship the phone agent.

One API for outbound and inbound calls.

$0.05 /min all-in7 lines of code

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Fri Apr 24 2026 • llm-stats.com
Cohere
Command R+
Input tokens$0.25
Output tokens$1.00
Best providerCohere
Google
Gemini 2.0 Flash Thinking
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Notice missing or incorrect data?Start an Issue

Context Window

Maximum input and output token capacity

Only Command R+ specifies input context (128,000 tokens). Only Command R+ specifies output context (128,000 tokens).

Cohere
Command R+
Input128,000 tokens
Output128,000 tokens
Google
Gemini 2.0 Flash Thinking
Input- tokens
Output- tokens
Fri Apr 24 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 2.0 Flash Thinking supports multimodal inputs, whereas Command R+ does not.

Gemini 2.0 Flash Thinking can handle both text and other forms of data like images, making it suitable for multimodal applications.

Command R+

Text
Images
Audio
Video

Gemini 2.0 Flash Thinking

Text
Images
Audio
Video

License

Usage and distribution terms

Command R+ is licensed under CC BY-NC, while Gemini 2.0 Flash Thinking uses a proprietary license.

License differences may affect how you can use these models in commercial or open-source projects.

Command R+

CC BY-NC

Open weights

Gemini 2.0 Flash Thinking

Proprietary

Closed source

Release Timeline

When each model was launched

Command R+ was released on 2024-08-30, while Gemini 2.0 Flash Thinking was released on 2025-01-21.

Gemini 2.0 Flash Thinking is 5 months newer than Command R+.

Command R+

Aug 30, 2024

1.6 years ago

Gemini 2.0 Flash Thinking

Jan 21, 2025

1.3 years ago

4mo newer

Knowledge Cutoff

When training data ends

Gemini 2.0 Flash Thinking has a documented knowledge cutoff of 2024-08-01, while Command R+'s cutoff date is not specified.

We can confirm Gemini 2.0 Flash Thinking's training data extends to 2024-08-01, but cannot make a direct comparison without Command R+'s cutoff date.

Command R+

Gemini 2.0 Flash Thinking

Aug 2024

Outputs Comparison

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Key Takeaways

Larger context window (128,000 tokens)
Has open weights
Supports multimodal inputs

Detailed Comparison

AI Model Comparison Table
Feature
Cohere
Command R+
Google
Gemini 2.0 Flash Thinking

FAQ

Common questions about Command R+ vs Gemini 2.0 Flash Thinking

Command R+ (Cohere) and Gemini 2.0 Flash Thinking (Google) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.
Command R+ scores HellaSwag: 88.6%, Winogrande: 85.4%, MMLU: 75.7%, ARC-C: 71.0%, GSM8k: 70.7%. Gemini 2.0 Flash Thinking scores MMMU: 75.4%, GPQA: 74.2%, AIME 2024: 73.3%.
Command R+ supports 128K tokens and Gemini 2.0 Flash Thinking supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include multimodal support (no vs yes), licensing (CC BY-NC vs Proprietary). See the full comparison above for benchmark-by-benchmark results.
Command R+ is developed by Cohere and Gemini 2.0 Flash Thinking is developed by Google.