| Signal | Command R (08-2024) | Delta | GPT-4o (2024-05-13) |
|---|---|---|---|
Capabilities | 50 | -17 | |
Benchmarks | 47 | -13 | |
Pricing | 1 | -14 | |
Context window size | 81 | -- | |
Recency | 29 | +20 | |
Output Capacity | 60 | 0 | |
| Overall Result | 1 wins | of 6 | 4 wins |
0
days ranked higher
2
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28
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Cohere
OpenAI
Command R (08-2024) saves you $1205.00/month
That's $14460.00/year compared to GPT-4o (2024-05-13) at your current usage level of 100K calls/month.
| Metric | Command R (08-2024) | GPT-4o (2024-05-13) | Winner |
|---|---|---|---|
| Overall Score | 48 | 53 | GPT-4o (2024-05-13) |
| Rank | #264 | #258 | GPT-4o (2024-05-13) |
| Quality Rank | #264 | #258 | GPT-4o (2024-05-13) |
| Adoption Rank | #264 | #258 | GPT-4o (2024-05-13) |
| Parameters | -- | -- | -- |
| Context Window | 128K | 128K | -- |
| Pricing | $0.15/$0.60/M | $5.00/$15.00/M | -- |
| Signal Scores | |||
| Capabilities | 50 | 67 | GPT-4o (2024-05-13) |
| Benchmarks | 47 | 60 | GPT-4o (2024-05-13) |
| Pricing | 1 | 15 | GPT-4o (2024-05-13) |
| Context window size | 81 | 81 | Command R (08-2024) |
| Recency | 29 | 9 | Command R (08-2024) |
| Output Capacity | 60 | 60 | GPT-4o (2024-05-13) |
Our composite score (0–100) combines six weighted signals: benchmark performance (25%), pricing efficiency (25%), context window size (15%), model recency (15%), output capacity (10%), and capability versatility (10%). Here's what the scores mean for these two models:
Scores 48/100 (rank #264), placing it in the top 9% of all 290 models tracked.
Scores 53/100 (rank #258), placing it in the top 11% of all 290 models tracked.
With only a 5-point gap, these models are in the same performance tier. The practical difference in output quality is minimal - your choice should depend on pricing, latency requirements, and specific feature needs.
Command R (08-2024) offers 96% better value per quality point. At 1M tokens/day, you'd spend $11.25/month with Command R (08-2024) vs $300.00/month with GPT-4o (2024-05-13) - a $288.75 monthly difference.
Both models have comparable response speeds. For most applications, the latency difference is negligible.
When latency matters most: Interactive chatbots, IDE code completion, real-time translation, and user-facing applications where response time directly impacts experience. For batch processing, background summarization, or offline analysis, latency is less critical.
Code generation & review
Higher benchmark score (0/100) indicates stronger performance on coding tasks like generating functions, debugging, and refactoring
Customer support chatbot
Faster response time (speed score 0/100) is critical for user-facing chat. Command R (08-2024) also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (128K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.60/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (53/100) correlates with better nuance, coherence, and style in long-form content
Image understanding & OCR
Supports vision input - can analyze screenshots, diagrams, photos, and scanned documents directly
GPT-4o (2024-05-13) has a moderate advantage with a 5-point lead in composite score. It wins on more signal dimensions, but Command R (08-2024) has specific strengths that could make it the better choice for certain workflows.
Best for Quality
Command R (08-2024)
Marginally better benchmark scores; both are excellent
Best for Cost
Command R (08-2024)
96% lower pricing; better value at scale
Best for Reliability
Command R (08-2024)
Higher uptime and faster response speeds
Best for Prototyping
Command R (08-2024)
Stronger community support and better developer experience
Best for Production
Command R (08-2024)
Wider enterprise adoption and proven at scale
by Cohere
| Capability | Command R (08-2024) | GPT-4o (2024-05-13) |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
Cohere
OpenAI
Command R (08-2024) saves you $26.01/month
That's 96% cheaper than GPT-4o (2024-05-13) at 1,000 tokens/request and 100 requests/day.
Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.
| Parameter | Command R (08-2024) | GPT-4o (2024-05-13) |
|---|---|---|
| Context Window | 128K | 128K |
| Max Output Tokens | 4,000 | 4,096 |
| Open Source | No | No |
| Created | Aug 30, 2024 | May 13, 2024 |
GPT-4o (2024-05-13) scores 53/100 (rank #258) compared to Command R (08-2024)'s 48/100 (rank #264), giving it a 5-point advantage. GPT-4o (2024-05-13) is the stronger overall choice, though Command R (08-2024) may excel in specific areas like cost efficiency.
Command R (08-2024) is ranked #264 and GPT-4o (2024-05-13) is ranked #258 out of 290+ AI models. Rankings use a composite score combining benchmark performance (25%), pricing (25%), context window (15%), recency (15%), output capacity (10%), and versatility (10%). Scores update hourly.
Command R (08-2024) is cheaper at $0.60/M output tokens vs GPT-4o (2024-05-13)'s $15.00/M output tokens - 25.0x more expensive. Input token pricing: Command R (08-2024) at $0.15/M vs GPT-4o (2024-05-13) at $5.00/M.
Command R (08-2024) has a larger context window of 128,000 tokens compared to GPT-4o (2024-05-13)'s 128,000 tokens. A larger context window means the model can process longer documents and conversations.