# GPT-5.2 vs Qwen3.6-27B

> Side-by-side benchmark comparison for GPT-5.2 and Qwen3.6-27B across agentic, coding, multimodal, knowledge, reasoning, multilingual, and math tasks.

- Canonical page: https://benchlm.ai/compare/gpt-5-2-vs-qwen3-6-27b
- Last updated: October 10, 2026

- Shared sourced benchmarks: 17
- HTML indexing: indexable
- Ranking lane: BenchAlign v5.8

## Quick Verdict

GPT-5.2 leads by point estimate. Conditional score ranges do not establish rank confidence. Choose using the category evidence and your own workload tests.

## Summary

- GPT-5.2 has the higher overall point estimate 60.33 to 47.95. Conditional score ranges do not establish rank confidence.
- The clearest category separation is in mathematics, where the averages are 57.9 for GPT-5.2 and 73.7 for Qwen3.6-27B.
- The biggest single benchmark swing is V* in Multimodal & Grounded, with scores of 75.9% and 94.7%.
- Qwen3.6-27B is the cheaper option on output tokens, which matters if you expect large responses or heavy interactive use.
- GPT-5.2 also has the larger context window at 400K.

## Model Snapshot

| Property | GPT-5.2 | Qwen3.6-27B |
|----------|----------|----------|
| Creator | OpenAI | Alibaba |
| Type | Proprietary | Open Weight |
| Reasoning | Reasoning | Reasoning |
| Context | 400K | 262K |
| Overall Score | 60.33 | 47.95 |
| Benchmarks Covered | 31 | 39 |
| Pricing (input/output) | $1.75 / $14.00 | $0.00 / $0.00 |

## Category Breakdown

### Agentic

- Winner: GPT-5.2
- GPT-5.2 public-lane score: 43.6 (Supported · #58/123)
- Qwen3.6-27B public-lane score: 28 (Supported · #92/123)

| Benchmark | GPT-5.2 | Qwen3.6-27B | Winner |
|-----------|-----------|-----------|--------|
| BrowseComp | 65.8% | Coming soon | Coming soon |
| OSWorld-Verified | 47.3% | Coming soon | Coming soon |
| Gert Labs | 46.54% | 54.84% | Qwen3.6-27B |
| JobBench | 34.3% | Coming soon | Coming soon |
| Terminal-Bench 2.0 | Coming soon | 59.3% | Coming soon |
| Claw-Eval | Coming soon | 72.4% | Coming soon |
| QwenClawBench | Coming soon | 53.4% | Coming soon |
| QwenWebBench | Coming soon | 1487 | Coming soon |
| AndroidWorld | Coming soon | 70.3% | Coming soon |

### Coding

- Winner: GPT-5.2
- GPT-5.2 public-lane score: 37.7 (Supported · #68/146)
- Qwen3.6-27B public-lane score: 35.8 (Supported · #74/146)

| Benchmark | GPT-5.2 | Qwen3.6-27B | Winner |
|-----------|-----------|-----------|--------|
| SWE-bench Verified | 80% | 77.2% | GPT-5.2 |
| SWE-bench Pro | 55.6% | 53.5% | GPT-5.2 |
| Vibe Code Bench | 53.50% | Coming soon | Coming soon |
| SWE Multilingual | Coming soon | 71.3% | Coming soon |
| Terminal-Bench 2.0 | Coming soon | 59.3% | Coming soon |
| LiveCodeBench v6 | Coming soon | 83.9% | Coming soon |
| NL2Repo | Coming soon | 36.2% | Coming soon |
| SWE-bench (Vals) | Coming soon | 70.0% | Coming soon |

### Reasoning

- Winner: Not comparable
- GPT-5.2 public-lane score: 64.4 (Unranked · 4 rankable rows)
- Qwen3.6-27B public-lane score: 79.2 (Unranked · 2 rankable rows)

| Benchmark | GPT-5.2 | Qwen3.6-27B | Winner |
|-----------|-----------|-----------|--------|
| ARC-AGI-2 | 52.9% | Coming soon | Coming soon |
| ARC-AGI-1 | 86.17% | Coming soon | Coming soon |

### Multimodal & Grounded

- Winner: GPT-5.2
- GPT-5.2 public-lane score: 75.9 (#22/54)
- Qwen3.6-27B public-lane score: 67.3 (#38/54)

| Benchmark | GPT-5.2 | Qwen3.6-27B | Winner |
|-----------|-----------|-----------|--------|
| MMMU | 86.7% | 82.9% | GPT-5.2 |
| MMMU-Pro | 79.5% | 75.8% | GPT-5.2 |
| RealWorldQA | 83.3% | 84.1% | Qwen3.6-27B |
| OmniDocBench 1.5 | 85.7% | Coming soon | Coming soon |
| Video-MME (with subtitle) | 86.0% | 87.7% | Qwen3.6-27B |
| Video-MME (w/o subtitle) | 85.8% | Coming soon | Coming soon |
| MathVision | 83.0% | Coming soon | Coming soon |
| We-Math | 79.0% | Coming soon | Coming soon |
| DynaMath | 86.8% | 85.6% | GPT-5.2 |
| SimpleVQA | 55.8% | 56.1% | Qwen3.6-27B |
| CC-OCR | 70.3% | 81.2% | Qwen3.6-27B |
| AI2D_TEST | 92.2% | Coming soon | Coming soon |
| CountBench | 91.9% | 97.8% | Qwen3.6-27B |
| ERQA | 59.8% | 62.5% | Qwen3.6-27B |
| VideoMMMU | 85.9% | 84.4% | GPT-5.2 |
| MLVU (M-Avg) | 85.6% | 86.6% | Qwen3.6-27B |
| CharXiv | 82.1% | 78.4% | GPT-5.2 |
| V* | 75.9% | 94.7% | Qwen3.6-27B |
| MStar | Coming soon | 81.4% | Coming soon |
| RefCOCO (avg) | Coming soon | 92.5% | Coming soon |

### Knowledge

- Winner: Directional only
- GPT-5.2 public-lane score: 59.6 (Supported · #46/177)
- Qwen3.6-27B public-lane score: 46.9 (Estimated · #86/177)

| Benchmark | GPT-5.2 | Qwen3.6-27B | Winner |
|-----------|-----------|-----------|--------|
| GPQA | 92.4% | 87.8% | GPT-5.2 |
| MMLU-Pro | Coming soon | 86.2% | Coming soon |
| MMLU-Redux | Coming soon | 93.5% | Coming soon |
| SuperGPQA | Coming soon | 66% | Coming soon |
| C-Eval | Coming soon | 91.4% | Coming soon |
| HLE | Coming soon | 24% | Coming soon |

### Instruction Following

- Winner: Directional only
- GPT-5.2 public-lane score: 92.6 (#19/127)
- Qwen3.6-27B public-lane score: 82.4 (#52/127)

### Mathematics

- Winner: Not comparable
- GPT-5.2 public-lane score: 57.9 (Unranked · 3 rankable rows)
- Qwen3.6-27B public-lane score: 73.7 (Unranked · 5 rankable rows)

| Benchmark | GPT-5.2 | Qwen3.6-27B | Winner |
|-----------|-----------|-----------|--------|
| AIME 2025 | 100% | Coming soon | Coming soon |
| FrontierMath v2 (Tiers 1-3) | 40.700% | Coming soon | Coming soon |
| FrontierMath v2 (Tier 4) | 18.800% | Coming soon | Coming soon |
| HMMT Feb 2025 | Coming soon | 93.8% | Coming soon |
| HMMT Nov 2025 | Coming soon | 90.7% | Coming soon |
| HMMT Feb 2026 | Coming soon | 84.3% | Coming soon |
| MMAnswerBench | Coming soon | 80.8% | Coming soon |
| AIME26 | Coming soon | 94.1% | Coming soon |

## FAQ

### Which is better overall, GPT-5.2 or Qwen3.6-27B?

GPT-5.2 has the higher overall point estimate. Conditional score ranges do not establish rank confidence.

### Where is the biggest gap between GPT-5.2 and Qwen3.6-27B?

The widest category gap is in mathematics, where the averages are 57.9 for GPT-5.2 and 73.7 for Qwen3.6-27B.

### How many benchmarks does GPT-5.2 cover on BenchLM?

GPT-5.2 currently has 31 sourced benchmark scores on BenchLM.

### How many benchmarks does Qwen3.6-27B cover on BenchLM?

Qwen3.6-27B currently has 39 sourced benchmark scores on BenchLM.

## Related Comparisons

- [GPT-5.2 vs GPT-5.2 Pro](/compare/gpt-5-2-vs-gpt-5-2-pro)
- [Qwen3.6-27B vs GPT-5.2 Pro](/compare/gpt-5-2-pro-vs-qwen3-6-27b)
- [GPT-5.2 vs GPT-5.2 Instant](/compare/gpt-5-2-vs-gpt-5-2-instant)
- [Qwen3.6-27B vs GPT-5.2 Instant](/compare/gpt-5-2-instant-vs-qwen3-6-27b)

## Explore More

- [GPT-5.2 profile](/models/gpt-5-2)
- [Qwen3.6-27B profile](/models/qwen3-6-27b)
- [Compare Pricing](/llm-pricing)
- [Alternative Finder](/tools/alternative-finder)
- [LLM Selector](/tools/llm-selector)
- [Overall Rankings](/best/overall)