| Signal | Command R (08-2024) | Delta | GPT-4o (2024-11-20) |
|---|---|---|---|
Capabilities | 50 | -17 | |
Benchmarks | 43 | +5 | |
Pricing | 99 | +9 | |
Context window size | 81 | -- | |
Recency | 26 | -15 | |
Output Capacity | 60 | -10 | |
| Overall Result | 2 wins | of 6 | 3 wins |
Score History
41.7
current score
GPT-4o (2024-11-20)
right now
41.9
current score
Cohere
OpenAI
Command R (08-2024) saves you $705.00/month
That's $8460.00/year compared to GPT-4o (2024-11-20) at your current usage level of 100K calls/month.
| Metric | Command R (08-2024) | GPT-4o (2024-11-20) | Winner |
|---|---|---|---|
| Overall Score | 42 | 42 | GPT-4o (2024-11-20) |
| Rank | #163 | #162 | GPT-4o (2024-11-20) |
| Quality Rank | #163 | #162 | GPT-4o (2024-11-20) |
| Adoption Rank | #163 | #162 | GPT-4o (2024-11-20) |
| Parameters | -- | -- | -- |
| Context Window | 128K | 128K | -- |
| Pricing | $0.15/$0.60/M | $2.50/$10.00/M | -- |
| Signal Scores | |||
| Capabilities | 50 | 67 | GPT-4o (2024-11-20) |
| Benchmarks | 43 | 38 | Command R (08-2024) |
| Pricing | 99 | 90 | Command R (08-2024) |
| Context window size | 81 | 81 | Command R (08-2024) |
| Recency | 26 | 41 | GPT-4o (2024-11-20) |
| Output Capacity | 60 | 70 | GPT-4o (2024-11-20) |
Our score (0-100) is driven by benchmark performance (90%) from Arena Elo ratings, MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations. Capabilities and context window serve as tiebreakers (10%). Learn more about our methodology.
Scores 42/100 (rank #163), placing it in the top 44% of all 290 models tracked.
Scores 42/100 (rank #162), placing it in the top 44% of all 290 models tracked.
With only a 0-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 94% better value per quality point. At 1M tokens/day, you'd spend $11.25/month with Command R (08-2024) vs $187.50/month with GPT-4o (2024-11-20) - a $176.25 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 (42/100) 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
Command R (08-2024) and GPT-4o (2024-11-20) are extremely close in overall performance (only 0.19999999999999574 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
Command R (08-2024)
Marginally better benchmark scores; both are excellent
Best for Cost
Command R (08-2024)
94% 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 (2024-11-20) |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
Cohere
OpenAI
Command R (08-2024) saves you $15.51/month
That's 94% cheaper than GPT-4o (2024-11-20) 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 (2024-11-20) |
|---|---|---|
| Context Window | 128K | 128K |
| Max Output Tokens | 4,000 | 16,384 |
| Open Source | No | No |
| Created | Aug 30, 2024 | Nov 20, 2024 |
GPT-4o (2024-11-20) scores 42/100 (rank #162) compared to Command R (08-2024)'s 42/100 (rank #163), giving it a 0-point advantage. GPT-4o (2024-11-20) is the stronger overall choice, though Command R (08-2024) may excel in specific areas like cost efficiency.
Command R (08-2024) is ranked #163 and GPT-4o (2024-11-20) is ranked #162 out of 290+ AI models. Rankings use a composite score combining benchmark performance (90%) from MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations, with capabilities and context window as tiebreakers (10%). Scores update hourly.
Command R (08-2024) is cheaper at $0.60/M output tokens vs GPT-4o (2024-11-20)'s $10.00/M output tokens - 16.7x more expensive. Input token pricing: Command R (08-2024) at $0.15/M vs GPT-4o (2024-11-20) at $2.50/M.
Command R (08-2024) has a larger context window of 128,000 tokens compared to GPT-4o (2024-11-20)'s 128,000 tokens. A larger context window means the model can process longer documents and conversations.