Compare / head-to-head
DeepSeek V3.2vsGPT-5 nano
DeepSeek V3.2 leads 3 of 3 shared benchmarks. GPT-5 nano has the larger context window (400K tokens).
Benchmarks from cited public sources; pricing from official pages; status from official provider feeds.
Shared benchmarks
3 – 0
DeepSeek V3.2 leads
Cheaper per token
—
list price, input + output
Larger context
GPT-5 nano
400K tokens
Provider uptime (30d)
100% · 94.2446%
DeepSeek · OpenAI
DeepSeek V3.2
DeepSeek · released 2025-12-01
text
- Context
- 131K
- Max out
- 66K
- Input /1M
- —
- Output /1M
- —
- Cached /1M
- —
- Scores
- 8 · 7 core
GPT-5 nano
OpenAI · released 2025-08-07
textvision
Quality
Benchmark matrix
3 shared · 4 only DeepSeek V3.2 · 4 only GPT-5 nano| Benchmark | DeepSeek V3.2 | GPT-5 nano | Δ | Edge |
|---|---|---|---|---|
| Reported by both · 3 | ||||
| SWE-bench Verified | 73.1% ↗ | 54.7% ↗ | +18.4 pt | DeepSeek V3.2 |
| GPQA Diamond | 82.4% ↗ | 69.4% ↗epoch | +13 pt | DeepSeek V3.2 |
| AIME 2025 | 93.1% ↗ | 85% ↗matharena ⚠ | +8.1 pt | DeepSeek V3.2 |
| Only DeepSeek V3.2 reports · 4 | ||||
| MMLU-Pro | 85% ↗ | not reported | — | — |
| AIME 2026 | 94.2% ↗matharena | not reported | — | — |
| Humanity's Last Exam (no tools) | 25.1% ↗ | not reported | — | — |
| LMArena Elo | 1424.8 ↗ | not reported | — | — |
| Only GPT-5 nano reports · 4 | ||||
| FrontierMath Tier 4 v2 (Epoch AI run) | not reported | 2.4% ↗epoch | — | — |
| FrontierMath Tiers 1-3 v2 (Epoch AI run) | not reported | 20% ↗epoch | — | — |
| OTIS Mock AIME 2024-2025 (Epoch AI run) | not reported | 81.1% ↗epoch | — | — |
| SimpleQA Verified | not reported | 11.7% ↗epoch | — | — |
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 V3.2 minus GPT-5 nano 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 V3.2 | GPT-5 nano | Edge |
|---|---|---|---|
| Context window | 131K tokens | 400K tokens | GPT-5 nano |
| Max output | 66K tokens | 128K tokens | GPT-5 nano |
| Input price / 1M | — | $0.05 ↗ | — |
| Output price / 1M | — | $0.4 ↗ | — |
| Cached input / 1M | — | $0.005 ↗ | — |
| Input + output / 1M Lower is cheaper. List prices; batch, tool and regional fees excluded. | — | $0.45 | — |
| Modalities | text | text · vision | GPT-5 nano |
| Released | 2025-12-01 | 2025-08-07 | — |
| Cited benchmark scores | 8 | 7 | — |
Reliability
Provider status
Last 60 days · refreshed daily on this page · live on /statusMore matchups
DeepSeek V3.2 vs …
Models sharing the most benchmarksMore matchups
GPT-5 nano vs …
Models sharing the most benchmarksBuilt by Respan
Which one wins on your data?
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