| Signal | Command R7B (12-2024) | Delta | GPT-4 Turbo (older v1106) |
|---|---|---|---|
Capabilities | 33 | -17 | |
Benchmarks | 38 | +38 | |
Pricing | 0 | -30 | |
Context window size | 81 | -- | |
Recency | 50 | +50 | |
Output Capacity | 60 | 0 | |
| Overall Result | 2 wins | of 6 | 3 wins |
9
days ranked higher
4
days
17
days ranked higher
Cohere
OpenAI
Command R7B (12-2024) saves you $2488.75/month
That's $29865.00/year compared to GPT-4 Turbo (older v1106) at your current usage level of 100K calls/month.
| Metric | Command R7B (12-2024) | GPT-4 Turbo (older v1106) | Winner |
|---|---|---|---|
| Overall Score | 48 | 48 | Command R7B (12-2024) |
| Rank | #254 | #256 | Command R7B (12-2024) |
| Quality Rank | #254 | #256 | Command R7B (12-2024) |
| Adoption Rank | #254 | #256 | Command R7B (12-2024) |
| Parameters | 7B | -- | -- |
| Context Window | 128K | 128K | -- |
| Pricing | $0.04/$0.15/M | $10.00/$30.00/M | -- |
| Signal Scores | |||
| Capabilities | 33 | 50 | GPT-4 Turbo (older v1106) |
| Benchmarks | 38 | -- | Command R7B (12-2024) |
| Pricing | 0 | 30 | GPT-4 Turbo (older v1106) |
| Context window size | 81 | 81 | Command R7B (12-2024) |
| Recency | 50 | 0 | Command R7B (12-2024) |
| Output Capacity | 60 | 60 | GPT-4 Turbo (older v1106) |
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 #254), placing it in the top 13% of all 290 models tracked.
Scores 48/100 (rank #256), placing it in the top 12% 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 R7B (12-2024) offers 100% better value per quality point. At 1M tokens/day, you'd spend $2.81/month with Command R7B (12-2024) vs $600.00/month with GPT-4 Turbo (older v1106) — a $597.19 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 R7B (12-2024) 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 ($0.15/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (48/100) correlates with better nuance, coherence, and style in long-form content
Command R7B (12-2024) and GPT-4 Turbo (older v1106) are extremely close in overall performance (only 0.09999999999999432 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
Command R7B (12-2024)
Marginally better benchmark scores; both are excellent
Best for Cost
Command R7B (12-2024)
100% lower pricing; better value at scale
Best for Reliability
Command R7B (12-2024)
Higher uptime and faster response speeds
Best for Prototyping
Command R7B (12-2024)
Stronger community support and better developer experience
Best for Production
Command R7B (12-2024)
Wider enterprise adoption and proven at scale
by Cohere
| Capability | Command R7B (12-2024) | GPT-4 Turbo (older v1106) |
|---|---|---|
| Vision (Image Input) | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
Cohere
OpenAI
Command R7B (12-2024) saves you $53.75/month
That's 100% cheaper than GPT-4 Turbo (older v1106) 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 R7B (12-2024) | GPT-4 Turbo (older v1106) |
|---|---|---|
| Context Window | 128K | 128K |
| Max Output Tokens | 4,000 | 4,096 |
| Open Source | No | Yes |
| Created | Dec 14, 2024 | Nov 6, 2023 |
Command R7B (12-2024) scores 48/100 (rank #254) compared to GPT-4 Turbo (older v1106)'s 48/100 (rank #256), giving it a 0-point advantage. Command R7B (12-2024) is the stronger overall choice, though GPT-4 Turbo (older v1106) may excel in specific areas like certain benchmarks.
Command R7B (12-2024) is ranked #254 and GPT-4 Turbo (older v1106) is ranked #256 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 R7B (12-2024) is cheaper at $0.15/M output tokens vs GPT-4 Turbo (older v1106)'s $30.00/M output tokens — 200.0x more expensive. Input token pricing: Command R7B (12-2024) at $0.04/M vs GPT-4 Turbo (older v1106) at $10.00/M.
Command R7B (12-2024) has a larger context window of 128,000 tokens compared to GPT-4 Turbo (older v1106)'s 128,000 tokens. A larger context window means the model can process longer documents and conversations.