Text Embedding 3 (Large) is 98% cheaper than Command R+ on blended 3:1 token pricing. Command R+ costs $2.50/1M in and $10.00/1M out, while Text Embedding 3 (Large) costs $0.13/1M in and $0.00/1M out.
Command R+ vs Text Embedding 3 (Large)
Compare verified input/output token rates, prompt caching discounts, latency tiers, and context limits between Cohere and OpenAI.
| Metric / Feature | Command R+ (Cohere) | Text Embedding 3 (Large) (OpenAI) |
|---|---|---|
| Input Price ($ / 1M Tokens) | $2.50 | $0.13 |
| Output Price ($ / 1M Tokens) | $10.00 | $0.00 |
| Prompt Caching Input Rate | Not Available | Not Available |
| Blended 3:1 Rate (Production) | $4.375 / 1M | $0.098 / 1M |
| Max Context Window | 128k | 8k |
| Multimodal Vision | ❌ Text Only | ❌ Text Only |
| MMLU Benchmark | 75.7% | N/A |
| Throughput & Latency | Fast (~40 t/s) | Fast |
| Best For | Grounded RAG with citation generation, enterprise business tooling | Dense multilingual retrieval, legal/medical knowledge bases |
When to Choose Command R+
Choose Command R+ if your workload requires grounded rag with citation generation, enterprise business tooling. Ideal for teams needing Cohere's infrastructure and ecosystem tooling.
When to Choose Text Embedding 3 (Large)
Choose Text Embedding 3 (Large) if your primary objective is dense multilingual retrieval, legal/medical knowledge bases. Ideal for scaling high-throughput pipelines with OpenAI.
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