Compare / head-to-head
DeepSeek R1vs
o3
o3 leads 8 of 8 shared benchmarks. o3 has the larger context window (200K tokens).
Benchmarks from cited public sources; pricing from official pages; status from official provider feeds.
Shared benchmarks
0 – 8
o3 leads
Cheaper per token
—
list price, input + output
Larger context
o3
200K tokens
Providers
2 providers
DeepSeek · OpenAI
DeepSeek R1
DeepSeek · released 2025-01-20
text
- Context
- 128K
- Max out
- 33K
- Input /1M
- —
- Output /1M
- —
- Cached /1M
- —
- Scores
- 15 · 7 core
Quality
Benchmark matrix
8 shared · 3 only DeepSeek R1 · 9 only o3| Benchmark | DeepSeek R1 | o3 | Δ | Edge |
|---|---|---|---|---|
| Reported by both · 8 | ||||
| SWE-bench Verified | 49.2% ↗ | 69.1% ↗ | -19.9 pt | o3 |
| GPQA Diamond | 71.5% ↗ | 81.8% ↗epoch run | -10.3 pt | o3 |
| AIME 2025 | 70% ↗matharena | 89.2% ↗matharena ⚠ | -19.2 pt | o3 |
| LMArena Elo | 1372.6 ↗ | 1431.6 ↗ | -59 | o3 |
| MATH Level 5 (Epoch AI run) | 96.6% ↗epoch run | 97.8% ↗epoch run | -1.2 pt | o3 |
| OTIS Mock AIME 2024-2025 (Epoch AI run) | 53.3% ↗epoch run | 84.4% ↗epoch run | -31.1 pt | o3 |
| SimpleBench (SimpleBench) | 30.9% ↗ | 53.1% ↗ | -22.2 pt | o3 |
| WeirdML (Håvard Tveit Ihle) | 41.6% ↗ | 52.4% ↗ | -10.8 pt | o3 |
| Only DeepSeek R1 reports · 3 | ||||
| MMLU | 90.8% ↗ | not reported | — | — |
| MMLU-Pro | 84% ↗ | not reported | — | — |
| BALROG (BALROG) | 34.9% ↗ | not reported | — | — |
| Only o3 reports · 9 | ||||
| Chess Puzzles (Epoch AI run) | not reported | 38% ↗epoch run | — | — |
| FrontierMath Tiers 1-3 v2 (Epoch AI run) | not reported | 33.3% ↗epoch run | — | — |
| GSO Opt@1 (GSO) | not reported | 3.9% ↗ | — | — |
| LMArena Vision (LMArena) | not reported | 1215.7 ↗ | — | — |
| Mystery Game Puzzles (Epoch AI run) | not reported | 29% ↗epoch run | — | — |
| OSWorld-Verified (XLANG) | not reported | 23% ↗ | — | — |
| SAGE (Vals AI) | not reported | 41.8% ↗ | — | — |
| SimpleQA Verified | not reported | 49.4% ↗epoch run | — | — |
| SWE-bench Verified (Epoch AI run) | not reported | 62.3% ↗epoch run | — | — |
Scores tagged "epoch" or "matharena" are independent runs, used only where the lab has not published its own; ⚠ marks rows MathArena flags as released after the competition. Higher is better on every row. Δ is DeepSeek R1 minus o3 in the benchmark's own unit. "Not reported" means the lab has not published that figure; it is not a zero. ↗ opens the source.
Specs & pricing
Side by side
Official pricing pages and model cards| Spec | DeepSeek R1 | o3 | Edge |
|---|---|---|---|
| Context window | 128K tokens | 200K tokens | o3 |
| Max output | 33K tokens | 100K tokens | o3 |
| Input price / 1M | — | $2 ↗ | — |
| Output price / 1M | — | $8 ↗ | — |
| Cached input / 1M | — | $0.5 ↗ | — |
| Input + output / 1M Lower is cheaper. List prices; batch, tool and regional fees excluded. | — | $10 | — |
| Modalities | text | text · vision | o3 |
| Released | 2025-01-20 | 2025-04-16 | — |
| Cited benchmark scores | 15 | 22 | — |
Reliability
Provider status
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DeepSeek R1 vs …
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Which one wins on your data?
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