Command R (08-2024) vs GPT-4 Turbo (batch)
| Signal | Command R (08-2024) | Delta | GPT-4 Turbo (batch) |
|---|---|---|---|
Capabilities | 50 | -33 | |
Benchmarks | 47 | -14 | |
Pricing | 99 | +14 | |
Context window size | 81 | -- | |
Recency | 0 | -- | |
Output Capacity | 58 | 0 | |
| Overall Result | 1 wins | of 6 | 3 wins |
Score History
48.6
current score
GPT-4 Turbo (batch)
right now
57.2
current score
Command R (08-2024)
Cohere
GPT-4 Turbo (batch)
OpenAI
Command R (08-2024) saves you $1205.00/month
That's $14460.00/year compared to GPT-4 Turbo (batch) at your current usage level of 100K calls/month.
| Metric | Command R (08-2024) | GPT-4 Turbo (batch) | Winner |
|---|---|---|---|
| Overall Score | 49 | 57 | GPT-4 Turbo (batch) |
| Rank | #176 | #175 | GPT-4 Turbo (batch) |
| Quality Rank | #176 | #175 | GPT-4 Turbo (batch) |
| Adoption Rank | #176 | #175 | GPT-4 Turbo (batch) |
| Parameters | -- | -- | -- |
| Context Window | 128K | 128K | -- |
| Pricing | $0.15/$0.60/M | $5.00/$15.00/M | -- |
| Signal Scores | |||
| Capabilities | 50 | 83 | GPT-4 Turbo (batch) |
| Benchmarks | 47 | 61 | GPT-4 Turbo (batch) |
| Pricing | 99 | 85 | Command R (08-2024) |
| Context window size | 81 | 81 | Command R (08-2024) |
| Recency | 0 | 0 | Command R (08-2024) |
| Output Capacity | 58 | 58 | GPT-4 Turbo (batch) |
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 49/100 (rank #176), placing it in the top 40% of all 290 models tracked.
Scores 57/100 (rank #175), placing it in the top 40% of all 290 models tracked.
GPT-4 Turbo (batch) has a 9-point advantage, which typically translates to noticeably better performance on complex reasoning, code generation, and multi-step tasks.
Choose Command R (08-2024) when you need:
- High-volume production workloads where API costs must be minimized
Choose GPT-4 Turbo (batch) when you need:
- Multimodal workflows that require image understanding
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-4 Turbo (batch) - 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
Based on overall model capabilities and architecture for coding tasks like generating functions, debugging, and refactoring
Customer support chatbot
Suitable for user-facing chat with competitive response times. 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 (57/100) 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-4 Turbo (batch) has a moderate advantage with a 8.600000000000001-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.
By Use Case
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
- Choose for Quality - Marginally better benchmark scores; both are excellent
- Choose for Cost - 96% lower pricing; better value at scale
- Choose for Reliability - Higher uptime and faster response speeds
- Choose for Prototyping - Stronger community support and better developer experience
- Choose for Production - Wider enterprise adoption and proven at scale
| Capability | Command R (08-2024) | GPT-4 Turbo (batch) |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Searchdiffers | ||
| Image Output |
Command R (08-2024)
Cohere
GPT-4 Turbo (batch)
OpenAI
Command R (08-2024) saves you $26.01/month
That's 96% cheaper than GPT-4 Turbo (batch) 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-4 Turbo (batch) |
|---|---|---|
| Context Window | 128K | 128K |
| Max Output Tokens | 4,000 | 4,096 |
| Open Source | No | No |
| Created | Aug 30, 2024 | Apr 9, 2024 |