AI model comparison
R1 0528 vs Command A
Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.
DeepSeek
R1 0528
May 28th update to the [original DeepSeek R1](/deepseek/deepseek-r1) Performance on par with [OpenAI o1](/openai/o1), but open-sourced and with fully open reasoning tokens.
- Input / 1M
- $0.50
- Output / 1M
- $2.15
- Context
- 164K
Cohere
Command A
Command A is an open-weights 111B parameter model with a 256k context window focused on delivering great performance across agentic, multilingual, and coding use cases.
- Input / 1M
- $2.50
- Output / 1M
- $10
- Context
- 256K
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
R1 0528
4.8x cheaper for a typical chat
Higher intelligence score
Tie
13.1 vs 13.1 on Artificial Analysis
Larger context window
Command A
256K vs 164K tokens
Newer release
R1 0528
Released May 28, 2025
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
Coding index
Agentic index
Pricing
R1 0528 vs Command A API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | ||
|---|---|---|
| Input tokensPer 1M tokens | $0.50 | $2.50 |
| Output tokensPer 1M tokens | $2.15 | $10 |
| Cached input (read)Per 1M tokens | $0.35 | Not available |
| Cache writePer 1M tokens | Not available | Not available |
What it costs in practice
Estimated cost per 1,000 requests at standard rates. Coding and long-document figures also show the cost when the input is already cached.
Chat message
2K in, 500 out
Coding task
30K in, 4K out
Long document summary
150K in, 2K out
Specs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | ||
|---|---|---|
| Context window | 164K tokens | 256K tokens |
| Max output | 33K tokens | 8K tokens |
| Input types | Text | Text |
| Output types | Text | Text |
| Reasoning effort levels | Not available | Not available |
| Default reasoning effort | Not available | Not available |
| Release date | May 28, 2025 | March 13, 2025 |
Features
Supported features
API features available for each model.
| Metric | ||
|---|---|---|
| Tool calling | Supported | Not supported |
| Structured outputs | Supported | Supported |
| JSON mode | Supported | Supported |
| Reasoning | Supported | Not supported |
| Temperature | Supported | Supported |
| Stop sequences | Supported | Supported |
| Deterministic seed | Supported | Supported |
| Verbosity control | Not supported | Not supported |
Our take
R1 0528 is 4.8x cheaper for a typical chat. Command A has the larger context window (256K vs 164K tokens). The right pick depends on your workload, so the quickest way to settle it is to send the same prompt to both and compare.
FAQ
Frequently asked questions
Is R1 0528 or Command A cheaper?
R1 0528 is cheaper for a typical chat (2K input tokens and 500 output tokens). R1 0528 costs $0.50 per 1M input tokens and $2.15 per 1M output tokens, while Command A costs $2.50 per 1M input tokens and $10 per 1M output tokens.
Which has a bigger context window, R1 0528 or Command A?
Command A supports up to 256K tokens of context, compared with 164K for R1 0528.
Is R1 0528 smarter than Command A?
On the Artificial Analysis Intelligence Index, R1 0528 scores 13.1 and Command A scores 13.1, putting R1 0528 ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.
Can I use R1 0528 and Command A at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see R1 0528 and Command A answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to R1 0528 and Command A at the same time. Compare the answers side by side and keep the best one.