GPT-4o (Omni) vs Command R+ (Cohere)
Compare GPT-4o (Omni) vs Command R+ (Cohere) API pricing, token costs, context windows, and latency. See which model is cheaper and better for your stack.
GPT-4o (Omni) charges $2.50/1M input and $10.00/1M output tokens, compared to Command R+ (Cohere) at $2.50/1M input and $10.00/1M output. GPT-4o (Omni) is 1.0x cheaper on input tokens. In benchmark reasoning, GPT-4o (Omni) holds the higher intelligence rating (92/100). For latency-critical streaming, GPT-4o (Omni) delivers 90 t/s (420ms TTFT) while Command R+ (Cohere) provides 68 t/s (410ms TTFT).
Full Metric & Specification Comparison
| Metric | GPT-4o (Omni) | Command R+ (Cohere) | Advantage |
|---|---|---|---|
| Provider | OpenAI | Cohere | - |
| Input Token Cost (1M) | $2.500 | $2.500 | Tie |
| Output Token Cost (1M) | $10.000 | $10.000 | Tie |
| Context Window | 128k tokens | 128k tokens | Tie |
| Intelligence Benchmark Score | 92/100 | 90/100 | GPT-4o (Omni) |
| Streaming Latency | Fast | Fast | - |
Key Architectural Takeaways
- Input Token Cost: GPT-4o (Omni) is $2.50/1M vs Command R+ (Cohere) at $2.50/1M
- Output Token Cost: GPT-4o (Omni) is $10.00/1M vs Command R+ (Cohere) at $10.00/1M
- Context Window: GPT-4o (Omni) supports 128k tokens vs Command R+ (Cohere) with 128k tokens
- Benchmark Intelligence Rating: GPT-4o (Omni) scores 92/100 vs Command R+ (Cohere) at 90/100
- Inference Latency: GPT-4o (Omni) is rated Fast vs Command R+ (Cohere) rated Fast
Calculate Your Team's Exact Bill Difference
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Frequently Asked Questions
Is GPT-4o (Omni) cheaper than Command R+ (Cohere)?
GPT-4o (Omni) is significantly more economical, charging $2.50/1M input compared to $2.50/1M for Command R+ (Cohere).
Which model should I choose for production?
If your primary constraint is API cost and high query throughput, choose GPT-4o (Omni). If you require peak reasoning accuracy and complex tool use, GPT-4o (Omni) is recommended.
How does context window compare between GPT-4o (Omni) and Command R+ (Cohere)?
GPT-4o (Omni) offers the larger context window (128k tokens), allowing you to pass significantly larger codebases or documents without chunking.
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