AI model comparison
R1 0528 vs R1
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
DeepSeek
R1
DeepSeek R1 is here: Performance on par with [OpenAI o1](/openai/o1), but open-sourced and with fully open reasoning tokens.
- Input / 1M
- $0.70
- Output / 1M
- $2.50
- Context
- 64K
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
R1 0528
1.3x cheaper for a typical chat
Higher intelligence score
R1 0528
13.1 vs 11.4 on Artificial Analysis
Larger context window
R1 0528
164K vs 64K tokens
Newer release
R1 0528
Released May 28, 2025
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
R1 052813.1R111.4Coding index
R1 0528Not availableR124.6Agentic index
R1 0528Not availableR11.1Pricing
R1 0528 vs R1 API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | R1 0528 | R1 |
|---|---|---|
| Input tokensPer 1M tokens | $0.50 | $0.70 |
| Output tokensPer 1M tokens | $2.15 | $2.50 |
| 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
R1 0528$2.08R1$2.65Coding task
30K in, 4K out
R1 0528$23.60$19.10 cachedR1$31Long document summary
150K in, 2K out
R1 0528$79.30$56.80 cachedR1$110Specs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | R1 0528 | R1 |
|---|---|---|
| Context window | 164K tokens | 64K tokens |
| Max output | 33K tokens | 16K 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 | January 20, 2025 |
Features
Supported features
API features available for each model.
| Metric | R1 0528 | R1 |
|---|---|---|
| Tool calling | Supported | Supported |
| Structured outputs | Supported | Not supported |
| JSON mode | Supported | Supported |
| Reasoning | Supported | Supported |
| Temperature | Supported | Supported |
| Stop sequences | Supported | Supported |
| Deterministic seed | Supported | Supported |
| Verbosity control | Not supported | Not supported |
Keep exploring
More on these models
Other head-to-heads, the full model page, and the alternatives list for each model.
R1 0528View full model details- R1 0528 vs Gemini 3.1 Flash Lite
- R1 0528 vs Gemini 2.5 Flash
- R1 0528 vs Kimi K2 0905
- R1 0528 vs DeepSeek V3.1 Terminus
- R1 0528 vs DeepSeek V3.1
- R1 0528 vs Nova 2 Lite
- R1 0528 vs Command A
- R1 0528 vs GLM 4.5
- R1 0528 vs Kimi K2 0711
- R1 0528 vs Qwen3 235B A22B Thinking 2507
- R1 0528 vs o3 Mini
- R1 0528 vs MiniMax M1
- R1 0528 vs DeepSeek V3 0324
Our take
R1 0528 is 1.3x cheaper for a typical chat. R1 0528 scores higher on the Artificial Analysis Intelligence Index (13.1 vs 11.4). R1 0528 has the larger context window (164K vs 64K 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 R1 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 R1 costs $0.70 per 1M input tokens and $2.50 per 1M output tokens.
Which has a bigger context window, R1 0528 or R1?
R1 0528 supports up to 164K tokens of context, compared with 64K for R1.
Is R1 0528 smarter than R1?
On the Artificial Analysis Intelligence Index, R1 0528 scores 13.1 and R1 scores 11.4, 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 R1 at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see R1 0528 and R1 answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to R1 0528 and R1 at the same time. Compare the answers side by side and keep the best one.