Command R+ vs GPT-5.6
Pricing, benchmarks, and use case comparison
Quick take
- •GPT-5.6 is meaningfully stronger at multimodal (87 vs 5).
- •Command R+ is 50% cheaper on input tokens, which compounds fast on high-volume or agentic workloads.
Specs comparison
| Command R+ | GPT-5.6 | |
|---|---|---|
| Provider | Cohere | OpenAI |
| Type | Closed source | Closed source |
| Context window | ✓128K tokens | Not announced |
| Input / 1M tokens | ✓$2.50 | 5 |
| Output / 1M tokens | $10.00 | 30 |
| Release date | 2024-08 | 2026-06 |
Benchmarks
| Benchmark | Command R+ | GPT-5.6 |
|---|---|---|
| RAG (BEIR) | Top-5 | - |
| MMLU | ~75% | - |
| Terminal-Bench 2.1 (Sol) | - | 88.8% |
| Terminal-Bench 2.1 (Terra) | - | 82.5% |
| Terminal-Bench 2.1 (Luna) | - | 84.3% |
| Terminal-Bench 2.1 | - | 88.8 |
| ExploitBench | - | Competitive with Anthropic Mythos Preview |
| ExploitGym | - | Significant improvements |
| GeneBench v1 | - | Not announced |
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-5.6 if...
- →You want to standardize on one model generation but route requests across cost/quality tiers
- →You are an approved preview partner exploring the newest OpenAI capabilities
- →Workloads spanning agentic coding, knowledge work, and research where tier flexibility helps