| Signal | Command A | Delta | GPT-4 Turbo |
|---|---|---|---|
Capabilities | 33 | -33 | |
Benchmarks | 61 | -17 | |
Pricing | 10 | -20 | |
Context window size | 86 | +5 | |
Recency | 65 | +62 | |
Output Capacity | 65 | +5 | |
| Overall Result | 3 wins | of 6 | 3 wins |
8
days ranked higher
5
days
17
days ranked higher
Cohere
OpenAI
Command A saves you $1750.00/month
That's $21000.00/year compared to GPT-4 Turbo at your current usage level of 100K calls/month.
| Metric | Command A | GPT-4 Turbo | Winner |
|---|---|---|---|
| Overall Score | 60 | 61 | GPT-4 Turbo |
| Rank | #220 | #217 | GPT-4 Turbo |
| Quality Rank | #220 | #217 | GPT-4 Turbo |
| Adoption Rank | #220 | #217 | GPT-4 Turbo |
| Parameters | -- | -- | -- |
| Context Window | 256K | 128K | Command A |
| Pricing | $2.50/$10.00/M | $10.00/$30.00/M | -- |
| Signal Scores | |||
| Capabilities | 33 | 67 | GPT-4 Turbo |
| Benchmarks | 61 | 78 | GPT-4 Turbo |
| Pricing | 10 | 30 | GPT-4 Turbo |
| Context window size | 86 | 81 | Command A |
| Recency | 65 | 3 | Command A |
| Output Capacity | 65 | 60 | Command A |
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 60/100 (rank #220), placing it in the top 24% of all 290 models tracked.
Scores 61/100 (rank #217), placing it in the top 26% of all 290 models tracked.
With only a 1-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 A offers 69% better value per quality point. At 1M tokens/day, you'd spend $187.50/month with Command A vs $600.00/month with GPT-4 Turbo - a $412.50 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 A also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (256K 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 (61/100) 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 A and GPT-4 Turbo are extremely close in overall performance (only 0.5 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
Command A
Marginally better benchmark scores; both are excellent
Best for Cost
Command A
69% lower pricing; better value at scale
Best for Reliability
Command A
Higher uptime and faster response speeds
Best for Prototyping
Command A
Stronger community support and better developer experience
Best for Production
Command A
Wider enterprise adoption and proven at scale
by Cohere
| Capability | Command A | GPT-4 Turbo |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
Cohere
OpenAI
Command A saves you $37.50/month
That's 69% cheaper than GPT-4 Turbo 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 A | GPT-4 Turbo |
|---|---|---|
| Context Window | 256K | 128K |
| Max Output Tokens | 8,192 | 4,096 |
| Open Source | Yes | No |
| Created | Mar 13, 2025 | Apr 9, 2024 |
GPT-4 Turbo scores 61/100 (rank #217) compared to Command A's 60/100 (rank #220), giving it a 1-point advantage. GPT-4 Turbo is the stronger overall choice, though Command A may excel in specific areas like cost efficiency.
Command A is ranked #220 and GPT-4 Turbo is ranked #217 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 A is cheaper at $10.00/M output tokens vs GPT-4 Turbo's $30.00/M output tokens - 3.0x more expensive. Input token pricing: Command A at $2.50/M vs GPT-4 Turbo at $10.00/M.
Command A has a larger context window of 256,000 tokens compared to GPT-4 Turbo's 128,000 tokens. A larger context window means the model can process longer documents and conversations.