Compare / head-to-head
DeepSeek V3.2-Specialevs
GPT-5.2
GPT-5.2 leads 3 of 4 shared benchmarks.
Benchmarks from cited public sources; pricing from official pages; status from official provider feeds.
Shared benchmarks
1 – 3
GPT-5.2 leads
Cheaper per token
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list price, input + output
Larger context
—
unknown
Providers
2 providers
DeepSeek · OpenAI
DeepSeek V3.2-Speciale
DeepSeek · released 2025-12-01
text
- Context
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- Max out
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- Input /1M
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- Output /1M
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- Cached /1M
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- Scores
- 9 · 4 core
Quality
Benchmark matrix
4 shared · 5 only DeepSeek V3.2-Speciale · 32 only GPT-5.2| Benchmark | DeepSeek V3.2-Speciale | GPT-5.2 | Δ | Edge |
|---|---|---|---|---|
| Reported by both · 4 | ||||
| GPQA Diamond | 85.7% ↗ | 92.4% ↗ | -6.7 pt | GPT-5.2 |
| AIME 2025 | 96% ↗ | 100% ↗ | -4 pt | GPT-5.2 |
| SimpleBench (SimpleBench) | 52.6% ↗ | 45.8% ↗ | +6.8 pt | DeepSeek V3.2-Speciale |
| WeirdML (Håvard Tveit Ihle) | 46.7% ↗ | 72.2% ↗ | -25.5 pt | GPT-5.2 |
| Only DeepSeek V3.2-Speciale reports · 5 | ||||
| HLE (text-only) | 30.6% ↗ | not reported | — | — |
| HMMT Feb 2025 | 99.2% ↗ | not reported | — | — |
| HMMT Nov 2025 | 94.4% ↗ | not reported | — | — |
| IMOAnswerBench | 84.5% ↗ | not reported | — | — |
| LiveCodeBench (Pass@1-COT) | 88.7% ↗ | not reported | — | — |
| Only GPT-5.2 reports · 32 | ||||
| SWE-bench Verified | not reported | 80% ↗ | — | — |
| AIME 2026 | not reported | 98.3% ↗matharena | — | — |
| LMArena Elo | not reported | 1412.4 ↗ | — | — |
| ARC-AGI-1 (Verified) | not reported | 86.2% ↗ | — | — |
| ARC-AGI-2 (Verified) | not reported | 52.9% ↗ | — | — |
| Chess Puzzles (Epoch AI run) | not reported | 49% ↗epoch run | — | — |
| EBR-bench (Epoch AI run) | not reported | 23% ↗epoch run | — | — |
| FrontierMath Tier 4 v2 (Epoch AI run) | not reported | 31.7% ↗epoch run | — | — |
| FrontierMath Tiers 1-3 v2 (Epoch AI run) | not reported | 67.4% ↗epoch run | — | — |
| Furniture Assembly (Epoch AI run) | not reported | 38.3% ↗epoch run | — | — |
| GDPval (wins or ties) | not reported | 70.9% ↗ | — | — |
| GSO Opt@1 (GSO) | not reported | 26.5% ↗ | — | — |
| LiveBench Agentic Coding (LiveBench) | not reported | 50.3% ↗ | — | — |
| LiveBench Coding (LiveBench) | not reported | 76.1% ↗ | — | — |
| LiveBench Data Analysis (LiveBench) | not reported | 78.2% ↗ | — | — |
| LiveBench Instruction Following (LiveBench) | not reported | 61.8% ↗ | — | — |
| LiveBench Language (LiveBench) | not reported | 79.8% ↗ | — | — |
| LiveBench Mathematics (LiveBench) | not reported | 93.2% ↗ | — | — |
| LiveBench Reasoning (LiveBench) | not reported | 83.2% ↗ | — | — |
| LMArena Vision (LMArena) | not reported | 1242.8 ↗ | — | — |
| LMArena WebDev (LMArena) | not reported | 1415.5 ↗ | — | — |
| Mystery Game Puzzles (Epoch AI run) | not reported | 23% ↗epoch run | — | — |
| OTIS Mock AIME 2024-2025 (Epoch AI run) | not reported | 96.1% ↗epoch run | — | — |
| SAGE (Vals AI) | not reported | 49.3% ↗ | — | — |
| SimpleQA Verified | not reported | 37.1% ↗epoch run | — | — |
| SWE-Bench Pro | not reported | 55.6% ↗ | — | — |
| SWE-bench Verified (Epoch AI run) | not reported | 73.8% ↗epoch run | — | — |
| tau2-bench Airline (Sierra) | not reported | 83% ↗ | — | — |
| tau2-bench Banking Knowledge (Sierra) | not reported | 32.2% ↗ | — | — |
| tau2-bench Retail (Sierra) | not reported | 81.6% ↗ | — | — |
| tau2-bench Telecom (Sierra) | not reported | 89.7% ↗ | — | — |
| Vending-Bench 2 (Andon Labs) | not reported | 3591.33 ↗ | — | — |
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-Speciale minus GPT-5.2 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-Speciale | GPT-5.2 | Edge |
|---|---|---|---|
| Context window | — | 400K tokens | — |
| Max output | — | 128K tokens | — |
| Input price / 1M | — | $1.75 ↗ | — |
| Output price / 1M | — | $14 ↗ | — |
| Cached input / 1M | — | $0.175 ↗ | — |
| Input + output / 1M Lower is cheaper. List prices; batch, tool and regional fees excluded. | — | $15.75 | — |
| Modalities | text | text · vision | GPT-5.2 |
| Released | 2025-12-01 | 2025-12-11 | — |
| Cited benchmark scores | 9 | 45 | — |
Reliability
Provider status
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Which one wins on your data?
Public benchmarks are a starting point. Run DeepSeek V3.2-Speciale and GPT-5.2 on your own prompts with Respan evals, or route to either through one gateway key with automatic failover.