Compare / head-to-head
GPT-5.2vs
Qwen3.6-Max-Preview
Qwen3.6-Max-Preview leads 6 of 10 shared benchmarks. Qwen3.6-Max-Preview is 1.7x cheaper per token. GPT-5.2 has the larger context window (400K tokens).
Benchmarks from cited public sources; pricing from official pages; status from official provider feeds.
Shared benchmarks
4 – 6
Qwen3.6-Max-Preview leads
Cheaper per token
Qwen3.6-Max-Preview
1.7x cheaper, input + output
Larger context
GPT-5.2
400K tokens
Providers
2 providers
OpenAI · Qwen
GPT-5.2
OpenAI · released 2025-12-11
textvision
Qwen3.6-Max-Preview
Qwen · released 2026-04-18
text
Quality
Benchmark matrix
10 shared · 26 only GPT-5.2 · 7 only Qwen3.6-Max-Preview| Benchmark | GPT-5.2 | Qwen3.6-Max-Preview | Δ | Edge |
|---|---|---|---|---|
| Reported by both · 10 | ||||
| GPQA Diamond | 92.4% ↗ | 87.4% ↗epoch run | +5 pt | GPT-5.2 |
| LMArena Elo | 1412.4 ↗ | 1460.3 ↗ | -47.9 | Qwen3.6-Max-Preview |
| Chess Puzzles (Epoch AI run) | 49% ↗epoch run | 20% ↗epoch run | +29 pt | GPT-5.2 |
| LMArena WebDev (LMArena) | 1415.5 ↗ | 1481.5 ↗ | -66 | Qwen3.6-Max-Preview |
| Mystery Game Puzzles (Epoch AI run) | 23% ↗epoch run | 19% ↗epoch run | +4 pt | GPT-5.2 |
| OTIS Mock AIME 2024-2025 (Epoch AI run) | 96.1% ↗epoch run | 91.1% ↗epoch run | +5 pt | GPT-5.2 |
| SimpleBench (SimpleBench) | 45.8% ↗ | 63% ↗ | -17.2 pt | Qwen3.6-Max-Preview |
| SimpleQA Verified | 37.1% ↗epoch run | 52% ↗epoch run | -14.9 pt | Qwen3.6-Max-Preview |
| SWE-bench Verified (Epoch AI run) | 73.8% ↗epoch run | 76.7% ↗epoch run | -2.9 pt | Qwen3.6-Max-Preview |
| Vending-Bench 2 (Andon Labs) | 3591.33 ↗ | 4254.19 ↗ | -662.9 | Qwen3.6-Max-Preview |
| Only GPT-5.2 reports · 26 | ||||
| SWE-bench Verified | 80% ↗ | not reported | — | — |
| AIME 2025 | 100% ↗ | not reported | — | — |
| AIME 2026 | 98.3% ↗matharena | not reported | — | — |
| ARC-AGI-1 (Verified) | 86.2% ↗ | not reported | — | — |
| ARC-AGI-2 (Verified) | 52.9% ↗ | not reported | — | — |
| EBR-bench (Epoch AI run) | 23% ↗epoch run | not reported | — | — |
| FrontierMath Tier 4 v2 (Epoch AI run) | 31.7% ↗epoch run | not reported | — | — |
| FrontierMath Tiers 1-3 v2 (Epoch AI run) | 67.4% ↗epoch run | not reported | — | — |
| Furniture Assembly (Epoch AI run) | 38.3% ↗epoch run | not reported | — | — |
| GDPval (wins or ties) | 70.9% ↗ | not reported | — | — |
| GSO Opt@1 (GSO) | 26.5% ↗ | not reported | — | — |
| LiveBench Agentic Coding (LiveBench) | 50.3% ↗ | not reported | — | — |
| LiveBench Coding (LiveBench) | 76.1% ↗ | not reported | — | — |
| LiveBench Data Analysis (LiveBench) | 78.2% ↗ | not reported | — | — |
| LiveBench Instruction Following (LiveBench) | 61.8% ↗ | not reported | — | — |
| LiveBench Language (LiveBench) | 79.8% ↗ | not reported | — | — |
| LiveBench Mathematics (LiveBench) | 93.2% ↗ | not reported | — | — |
| LiveBench Reasoning (LiveBench) | 83.2% ↗ | not reported | — | — |
| LMArena Vision (LMArena) | 1242.8 ↗ | not reported | — | — |
| SAGE (Vals AI) | 49.3% ↗ | not reported | — | — |
| SWE-Bench Pro | 55.6% ↗ | not reported | — | — |
| tau2-bench Airline (Sierra) | 83% ↗ | not reported | — | — |
| tau2-bench Banking Knowledge (Sierra) | 32.2% ↗ | not reported | — | — |
| tau2-bench Retail (Sierra) | 81.6% ↗ | not reported | — | — |
| tau2-bench Telecom (Sierra) | 89.7% ↗ | not reported | — | — |
| WeirdML (Håvard Tveit Ihle) | 72.2% ↗ | not reported | — | — |
| Only Qwen3.6-Max-Preview reports · 7 | ||||
| NL2Repo | not reported | 42.9% ↗ | — | — |
| QwenClawBench | not reported | 59% ↗ | — | — |
| SciCode | not reported | 47% ↗ | — | — |
| SkillsBench | not reported | 55.6% ↗ | — | — |
| SuperGPQA | not reported | 73.9% ↗ | — | — |
| SWE-bench Pro | not reported | 57.3% ↗ | — | — |
| Terminal-Bench 2.0 (Terminus-2) | not reported | 65.4% ↗ | — | — |
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 GPT-5.2 minus Qwen3.6-Max-Preview 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 | GPT-5.2 | Qwen3.6-Max-Preview | Edge |
|---|---|---|---|
| Context window | 400K tokens | 256K tokens | GPT-5.2 |
| Max output | 128K tokens | — | — |
| Input price / 1M | $1.75 ↗ | $1.3 ↗ | Qwen3.6-Max-Preview |
| Output price / 1M | $14 ↗ | $7.8 ↗ | Qwen3.6-Max-Preview |
| Cached input / 1M | $0.175 ↗ | — | — |
| Input + output / 1M Lower is cheaper. List prices; batch, tool and regional fees excluded. | $15.75 | $9.1 | Qwen3.6-Max-Preview |
| Modalities | text · vision | text | GPT-5.2 |
| Released | 2025-12-11 | 2026-04-18 | — |
| Cited benchmark scores | 45 | 17 | — |
Reliability
Provider status
Live from /statusMore matchups
GPT-5.2 vs …
Models sharing the most benchmarksMore matchups
Qwen3.6-Max-Preview vs …
Models sharing the most benchmarksBuilt by Respan
Which one wins on your data?
Public benchmarks are a starting point. Run GPT-5.2 and Qwen3.6-Max-Preview on your own prompts with Respan evals, or route to either through one gateway key with automatic failover.