| Signal | Command R+ (08-2024) | Delta | GPT-4o (2024-11-20) |
|---|---|---|---|
Capabilities | 50 | -17 | |
Benchmarks | 43 | +5 | |
Pricing | 90 | -- | |
Context window size | 81 | -- | |
Recency | 27 | -15 | |
Output Capacity | 60 | -10 | |
| Overall Result | 1 wins | of 6 | 3 wins |
Score History
45.1
current score
Command R+ (08-2024)
right now
41.9
current score
Cohere
OpenAI
| Metric | Command R+ (08-2024) | GPT-4o (2024-11-20) | Winner |
|---|---|---|---|
| Overall Score | 45 | 42 | Command R+ (08-2024) |
| Rank | #120 | #122 | Command R+ (08-2024) |
| Quality Rank | #120 | #122 | Command R+ (08-2024) |
| Adoption Rank | #120 | #122 | Command R+ (08-2024) |
| Parameters | -- | -- | -- |
| Context Window | 128K | 128K | -- |
| Pricing | $2.50/$10.00/M | $2.50/$10.00/M | -- |
| Signal Scores | |||
| Capabilities | 50 | 67 | GPT-4o (2024-11-20) |
| Benchmarks | 43 | 38 | Command R+ (08-2024) |
| Pricing | 90 | 90 | Command R+ (08-2024) |
| Context window size | 81 | 81 | Command R+ (08-2024) |
| Recency | 27 | 42 | 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%). Here's what the scores mean for these two models:
Scores 45/100 (rank #120), placing it in the top 59% of all 290 models tracked.
Scores 42/100 (rank #122), placing it in the top 58% of all 290 models tracked.
With only a 3-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.
Both models are priced similarly, so the decision comes down to quality and features rather than cost.
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 ($10.00/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (45/100) 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) has a moderate advantage with a 3.200000000000003-point lead in composite score. It wins on more signal dimensions, but GPT-4o (2024-11-20) 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)
0% 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
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 |
Command R+ (08-2024) scores 45/100 (rank #120) compared to GPT-4o (2024-11-20)'s 42/100 (rank #122), giving it a 3-point advantage. Command R+ (08-2024) is the stronger overall choice, though GPT-4o (2024-11-20) may excel in specific areas like certain benchmarks.
Command R+ (08-2024) is ranked #120 and GPT-4o (2024-11-20) is ranked #122 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 $10.00/M output tokens vs GPT-4o (2024-11-20)'s $10.00/M output tokens - 1.0x more expensive. Input token pricing: Command R+ (08-2024) at $2.50/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.