Command R+ vs Gemini 2.5 Pro
Pricing, benchmarks, and use case comparison
Quick take
- •Gemini 2.5 Pro is meaningfully stronger at multimodal (85 vs 5).
- •Gemini 2.5 Pro is 50% cheaper on input tokens, which compounds fast on high-volume or agentic workloads.
- •Command R+ has a 128K tokens context window vs 1,048,576 tokens (1M) input; up to 65K output - better for whole-repo or long-document work.
Specs comparison
| Command R+ | Gemini 2.5 Pro | |
|---|---|---|
| Provider | Cohere | Google DeepMind |
| Type | Closed source | Closed source |
| Context window | ✓128K tokens | 1,048,576 tokens (1M) input; up to 65K output |
| Input / 1M tokens | $2.50 | ✓$1.25 |
| Output / 1M tokens | $10.00 | $10.00 |
| Release date | 2024-08 | 2025-06 |
Benchmarks
| Benchmark | Command R+ | Gemini 2.5 Pro |
|---|---|---|
| RAG (BEIR) | Top-5 | - |
| MMLU | ~75% | - |
| Context window | - | 1M tokens |
| Pricing tier break | - | 200K tokens |
Scores sourced from official provider release posts and independent benchmark aggregators.
Which should you choose?
Choose Command R+ if...
- →Your core use case is grounded RAG with citations
- →You need reliable multi-step tool/agent orchestration
- →You want an enterprise model available on Bedrock
- →You need multilingual responses across the 10 optimized languages
Choose Gemini 2.5 Pro if...
- →Complex reasoning, analysis, or STEM tasks that benefit from a thinking model
- →Processing very long inputs (long documents, large repos)
- →Multimodal tasks needing high quality