Command R+ vs GPT-5
Pricing, benchmarks, and use case comparison
Quick take
- •GPT-5 is meaningfully stronger at multimodal (83 vs 5).
- •GPT-5 is 50% cheaper on input tokens, which compounds fast on high-volume or agentic workloads.
- •Command R+ has a 128K tokens context window vs 400,000 tokens (128,000 max output) - better for whole-repo or long-document work.
Specs comparison
| Command R+ | GPT-5 | |
|---|---|---|
| Provider | Cohere | OpenAI |
| Type | Closed source | Closed source |
| Context window | ✓128K tokens | 400,000 tokens (128,000 max output) |
| Input / 1M tokens | $2.50 | ✓$1.25 |
| Output / 1M tokens | $10.00 | $10.00 |
| Release date | 2024-08 | 2025-08 |
Benchmarks
| Benchmark | Command R+ | GPT-5 |
|---|---|---|
| RAG (BEIR) | Top-5 | - |
| MMLU | ~75% | - |
| SWE-bench Verified | - | 74.9% |
| AIME 2025 | - | 94.6% |
| GPQA (GPT-5 pro) | - | 88.4% |
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 GPT-5 if...
- →You want strong reasoning at the lowest frontier-model price
- →Existing GPT-5-based systems that are already tuned and validated
- →General coding, math, and reasoning workloads on a budget