AI model comparison
o3 Mini High vs R1
Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.
OpenAI
o3 Mini High
OpenAI o3-mini-high is the same model as [o3-mini](/openai/o3-mini) with reasoning_effort set to high.
- Input / 1M
- $1.10
- Output / 1M
- $4.40
- Context
- 200K
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
1.7x cheaper for a typical chat
Higher intelligence score
R1
11.4 vs 11 on Artificial Analysis
Larger context window
o3 Mini High
200K vs 64K tokens
Newer release
o3 Mini High
Released February 12, 2025
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
o3 Mini High11R111.4Coding index
o3 Mini High16.3R124.6Agentic index
o3 Mini High0.9R11.1Pricing
o3 Mini High vs R1 API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | o3 Mini High | R1 |
|---|---|---|
| Input tokensPer 1M tokens | $1.10 | $0.70 |
| Output tokensPer 1M tokens | $4.40 | $2.50 |
| Cached input (read)Per 1M tokens | $0.55 | Not available |
| Cache writePer 1M tokens | Not available | Not available |
| Web searchPer request | $0.01 | 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
o3 Mini High$4.40R1$2.65Coding task
30K in, 4K out
o3 Mini High$50.60$34.10 cachedR1$31Long document summary
150K in, 2K out
o3 Mini High$173.80$91.30 cachedR1$110Specs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | o3 Mini High | R1 |
|---|---|---|
| Context window | 200K tokens | 64K tokens |
| Max output | 100K tokens | 16K tokens |
| Input types | File, Text | Text |
| Output types | Text | Text |
| Reasoning effort levels | High | Not available |
| Default reasoning effort | High | Not available |
| Release date | February 12, 2025 | January 20, 2025 |
Features
Supported features
API features available for each model.
| Metric | o3 Mini High | R1 |
|---|---|---|
| Tool calling | Supported | Supported |
| Structured outputs | Supported | Not supported |
| JSON mode | Supported | Supported |
| Reasoning | Supported | Supported |
| Temperature | Not supported | Supported |
| Stop sequences | Not 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.
Our take
R1 is 1.7x cheaper for a typical chat. R1 scores higher on the Artificial Analysis Intelligence Index (11.4 vs 11). o3 Mini High has the larger context window (200K 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 o3 Mini High or R1 cheaper?
R1 is cheaper for a typical chat (2K input tokens and 500 output tokens). R1 costs $0.70 per 1M input tokens and $2.50 per 1M output tokens, while o3 Mini High costs $1.10 per 1M input tokens and $4.40 per 1M output tokens.
Which has a bigger context window, o3 Mini High or R1?
o3 Mini High supports up to 200K tokens of context, compared with 64K for R1.
Is o3 Mini High smarter than R1?
On the Artificial Analysis Intelligence Index, o3 Mini High scores 11 and R1 scores 11.4, putting R1 ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.
Can I use o3 Mini High and R1 at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see o3 Mini High and R1 answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to o3 Mini High and R1 at the same time. Compare the answers side by side and keep the best one.