Compare / head-to-head
DeepSeek V3.2vs
GPT-5.4
GPT-5.4 leads 6 of 6 shared benchmarks. GPT-5.4 has the larger context window (1.1M tokens).
Benchmarks from cited public sources; pricing from official pages; status from official provider feeds.
Shared benchmarks
0 – 6
GPT-5.4 leads
Cheaper per token
—
list price, input + output
Larger context
GPT-5.4
1.1M tokens
Providers
2 providers
DeepSeek · OpenAI
DeepSeek V3.2
DeepSeek · released 2025-12-01
text
- Context
- 131K
- Max out
- 66K
- Input /1M
- —
- Output /1M
- —
- Cached /1M
- —
- Scores
- 11 · 8 core
Quality
Benchmark matrix
6 shared · 3 only DeepSeek V3.2 · 36 only GPT-5.4| Benchmark | DeepSeek V3.2 | GPT-5.4 | Δ | Edge |
|---|---|---|---|---|
| Reported by both · 6 | ||||
| GPQA Diamond | 82.4% ↗ | 92.8% ↗ | -10.4 pt | GPT-5.4 |
| AIME 2026 | 94.2% ↗matharena | 99.2% ↗matharena ⚠ | -5 pt | GPT-5.4 |
| Humanity's Last Exam (no tools) | 25.1% ↗ | 39.8% ↗ | -14.7 pt | GPT-5.4 |
| LMArena Elo | 1424.8 ↗ | 1452.6 ↗ | -27.8 | GPT-5.4 |
| APEX-Agents (Mercor) | 21.3% ↗ | 52.4% ↗ | -31.1 pt | GPT-5.4 |
| LMArena WebDev (LMArena) | 1361.7 ↗ | 1395.1 ↗ | -33.4 | GPT-5.4 |
| Only DeepSeek V3.2 reports · 3 | ||||
| SWE-bench Verified | 73.1% ↗ | not reported | — | — |
| MMLU-Pro | 85% ↗ | not reported | — | — |
| AIME 2025 | 93.1% ↗ | not reported | — | — |
| Only GPT-5.4 reports · 36 | ||||
| BrowseComp | not reported | 82.7% ↗ | — | — |
| Chess Puzzles (Epoch AI run) | not reported | 44% ↗epoch run | — | — |
| DeepSWE v1.1 (Datacurve) | not reported | 51.8% ↗ | — | — |
| EBR-bench (Epoch AI run) | not reported | 25.4% ↗epoch run | — | — |
| FrontierMath Tier 4 v2 (Epoch AI run) | not reported | 49% ↗epoch run | — | — |
| FrontierMath Tiers 1-3 v2 (Epoch AI run) | not reported | 78.6% ↗epoch run | — | — |
| Furniture Assembly (Epoch AI run) | not reported | 37.5% ↗epoch run | — | — |
| GDPval (wins or ties) | not reported | 83% ↗ | — | — |
| GSO Opt@1 (GSO) | not reported | 30.4% ↗ | — | — |
| Humanity's Last Exam (with tools) | not reported | 52.1% ↗ | — | — |
| LiveBench Agentic Coding (LiveBench) | not reported | 53.8% ↗ | — | — |
| LiveBench Coding (LiveBench) | not reported | 77.5% ↗ | — | — |
| LiveBench Data Analysis (LiveBench) | not reported | 79.3% ↗ | — | — |
| LiveBench Instruction Following (LiveBench) | not reported | 70.2% ↗ | — | — |
| LiveBench Language (LiveBench) | not reported | 82.6% ↗ | — | — |
| LiveBench Mathematics (LiveBench) | not reported | 94.1% ↗ | — | — |
| LiveBench Reasoning (LiveBench) | not reported | 88.1% ↗ | — | — |
| LMArena Agent (LMArena) | not reported | 0.0105 ↗ | — | — |
| LMArena Vision (LMArena) | not reported | 1283.8 ↗ | — | — |
| MCP Atlas | not reported | 67.2% ↗ | — | — |
| MirrorCode (Epoch AI run) | not reported | 15.6% ↗epoch run | — | — |
| MMMU-Pro (no tools) | not reported | 81.2% ↗ | — | — |
| MMMU-Pro (with tools) | not reported | 82.1% ↗ | — | — |
| Mystery Game Puzzles (Epoch AI run) | not reported | 37% ↗epoch run | — | — |
| OSWorld-Verified | not reported | 75% ↗ | — | — |
| OTIS Mock AIME 2024-2025 (Epoch AI run) | not reported | 97.8% ↗epoch run | — | — |
| SAGE (Vals AI) | not reported | 43.3% ↗ | — | — |
| SimpleQA Verified | not reported | 45.1% ↗epoch run | — | — |
| SWE-Bench Pro | not reported | 57.7% ↗ | — | — |
| SWE-bench Verified (Epoch AI run) | not reported | 76.9% ↗epoch run | — | — |
| tau2-bench Banking Knowledge (Sierra) | not reported | 39.4% ↗ | — | — |
| Tau2-bench Telecom | not reported | 98.9% ↗ | — | — |
| Terminal-Bench 2.0 | not reported | 75.1% ↗ | — | — |
| Toolathlon | not reported | 54.6% ↗ | — | — |
| Vending-Bench 2 (Andon Labs) | not reported | 6144.18 ↗ | — | — |
| WeirdML (Håvard Tveit Ihle) | not reported | 77.7% ↗ | — | — |
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-5.4 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-5.4 | Edge |
|---|---|---|---|
| Context window | 131K tokens | 1.1M tokens | GPT-5.4 |
| Max output | 66K tokens | 128K tokens | GPT-5.4 |
| Input price / 1M | — | $2.5 ↗ | — |
| Output price / 1M | — | $15 ↗ | — |
| Cached input / 1M | — | $0.25 ↗ | — |
| Input + output / 1M Lower is cheaper. List prices; batch, tool and regional fees excluded. | — | $17.5 | — |
| Modalities | text | text · vision | GPT-5.4 |
| Released | 2025-12-01 | 2026-03-05 | — |
| Cited benchmark scores | 11 | 50 | — |
Reliability
Provider status
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GPT-5.4 vs …
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Which one wins on your data?
Public benchmarks are a starting point. Run DeepSeek V3.2 and GPT-5.4 on your own prompts with Respan evals, or route to either through one gateway key with automatic failover.