# GPT-5.2 Benchmark Scores & Performance

> GPT-5.2 by OpenAI scores 59.86/100 overall, ranking #56 out of 954 AI models.

Canonical page: https://benchlm.ai/models/gpt-5-2

Last updated: October 17, 2026

## Model Details

| Property | Value |
|----------|-------|
| Creator | OpenAI |
| Source Type | Proprietary |
| Reasoning Type | Reasoning |
| Context Window | 400K |
| Overall Score | 59.86/100 |
| Overall Rank | #56 of 954 |

## Family & Coverage

- Family: GPT-5.2
- Variant: thinking
- Benchmarks covered: 43 of 639
- Sibling models: [GPT-5.2 Pro](/models/gpt-5-2-pro), [GPT-5.2 Instant](/models/gpt-5-2-instant)
- Coverage note: BenchLM currently has partial benchmark coverage for this model, so the overall score is conservative.

## Agentic Benchmarks

| Benchmark | Score | Source |
|-----------|-------|--------|
| [BrowseComp](/benchmarks/browsecomp) | 65.8% | [OpenAI: Introducing GPT-5.4](https://openai.com/index/introducing-gpt-5-4/) |
| [OSWorld-Verified](/benchmarks/osworld-verified) | 47.3% | [OpenAI: Introducing GPT-5.4](https://openai.com/index/introducing-gpt-5-4/) |
| [τ²-bench results](/benchmarks/tau2-bench) | 84.8% | [Artificial Analysis model benchmarks](https://artificialanalysis.ai/models/gpt-5-2) |
| [Gert Labs](/benchmarks/gertlabs) | 46.54% | [Gert Labs rankings](https://gertlabs.com/rankings) |
| [JobBench](/benchmarks/jobbench) | 34.3% | [JobBench paper](https://arxiv.org/abs/2605.26329) |

## Coding Benchmarks

| Benchmark | Score | Source |
|-----------|-------|--------|
| [SWE-bench Verified](/benchmarks/swe-bench-verified) | 80% | [OpenAI: Introducing GPT-5.2](https://openai.com/index/introducing-gpt-5-2/) |
| [SWE-bench Pro](/benchmarks/swe-bench-pro) | 55.6% | [OpenAI: Introducing GPT-5.4](https://openai.com/index/introducing-gpt-5-4/) |
| [Vibe Code Bench](/benchmarks/vibecodebench) | 53.50% | [Vals AI: Vibe Code Bench v1.1](https://www.vals.ai/benchmarks/vibe-code) |

## Multimodal & Grounded Benchmarks

| Benchmark | Score | Source |
|-----------|-------|--------|
| [MMMU](/benchmarks/mmmu) | 86.7% | [Qwen3.5-397B-A17B model card comparison table](https://huggingface.co/Qwen/Qwen3.5-397B-A17B) |
| [MMMU-Pro](/benchmarks/mmmu-pro) | 79.5% | [OpenAI: Introducing GPT-5.4](https://openai.com/index/introducing-gpt-5-4/) |
| [RealWorldQA](/benchmarks/realworldqa) | 83.3% | [Qwen3.5-397B-A17B model card comparison table](https://huggingface.co/Qwen/Qwen3.5-397B-A17B) |
| [OmniDocBench 1.5](/benchmarks/omnidocbench15) | 85.7% | [Qwen3.5-397B-A17B model card comparison table](https://huggingface.co/Qwen/Qwen3.5-397B-A17B) |
| [Video-MME (with subtitle)](/benchmarks/videommewithsub) | 86.0% | [Qwen3.5-397B-A17B model card comparison table](https://huggingface.co/Qwen/Qwen3.5-397B-A17B) |
| [Video-MME (w/o subtitle)](/benchmarks/videommenosub) | 85.8% | [Qwen3.5-397B-A17B model card comparison table](https://huggingface.co/Qwen/Qwen3.5-397B-A17B) |
| [MathVision](/benchmarks/mathvision) | 83.0% | [Qwen3.6-Plus multimodal comparison table](https://qwen.ai/blog?id=qwen3.6) |
| [We-Math](/benchmarks/wemath) | 79.0% | [Qwen3.5-397B-A17B model card comparison table](https://huggingface.co/Qwen/Qwen3.5-397B-A17B) |
| [DynaMath](/benchmarks/dynamath) | 86.8% | [Qwen3.5-397B-A17B model card comparison table](https://huggingface.co/Qwen/Qwen3.5-397B-A17B) |
| [SimpleVQA](/benchmarks/simplevqa) | 55.8% | [Qwen3.5-397B-A17B model card comparison table](https://huggingface.co/Qwen/Qwen3.5-397B-A17B) |
| [CC-OCR](/benchmarks/ccocr) | 70.3% | [Qwen3.5-397B-A17B model card comparison table](https://huggingface.co/Qwen/Qwen3.5-397B-A17B) |
| [AI2D_TEST](/benchmarks/ai2dtest) | 92.2% | [Qwen3.5-397B-A17B model card comparison table](https://huggingface.co/Qwen/Qwen3.5-397B-A17B) |
| [CountBench](/benchmarks/countbench) | 91.9% | [Qwen3.5-397B-A17B model card comparison table](https://huggingface.co/Qwen/Qwen3.5-397B-A17B) |
| [ERQA](/benchmarks/erqa) | 59.8% | [Qwen3.5-397B-A17B model card comparison table](https://huggingface.co/Qwen/Qwen3.5-397B-A17B) |
| [VideoMMMU](/benchmarks/videommmu) | 85.9% | [Qwen3.5-397B-A17B model card comparison table](https://huggingface.co/Qwen/Qwen3.5-397B-A17B) |
| [MLVU (M-Avg)](/benchmarks/mlvuavg) | 85.6% | [Qwen3.5-397B-A17B model card comparison table](https://huggingface.co/Qwen/Qwen3.5-397B-A17B) |
| [CharXiv](/benchmarks/charxiv) | 82.1% | [Qwen3.6-Plus multimodal comparison table](https://qwen.ai/blog?id=qwen3.6) |
| [V*](/benchmarks/vstar) | 75.9% | [Qwen3.6-Plus multimodal comparison table](https://qwen.ai/blog?id=qwen3.6) |
| [Design Arena Website](/benchmarks/designarenawebsite) | 1196 | [OpenRouter model benchmarks](https://openrouter.ai/openai/gpt-5.2/benchmarks) |

## Reasoning Benchmarks

| Benchmark | Score | Source |
|-----------|-------|--------|
| [ARC-AGI-2](/benchmarks/arc-agi-2) | 52.9% | [OpenAI: Introducing GPT-5.2](https://openai.com/index/introducing-gpt-5-2/) |
| [AA-LCR](/benchmarks/lcr) | 82.7% | [Artificial Analysis model benchmarks](https://artificialanalysis.ai/models/gpt-5-2) |
| [CritPt](/benchmarks/critpt) | 11.6% | [Artificial Analysis model benchmarks](https://artificialanalysis.ai/models/gpt-5-2) |
| [ARC-AGI-1](/benchmarks/arcagi1) | 86.17% | [ARC Prize: GPT-5.2 (XHigh) verified results](https://arcprize.org/leaderboard) |

## Knowledge Benchmarks

| Benchmark | Score | Source |
|-----------|-------|--------|
| [GPQA](/benchmarks/gpqa) | 92.4% | [Qwen3.5 language comparison table](https://qwen.ai/blog?id=qwen3.5) |
| [Artificial Analysis Intelligence Index](/benchmarks/artificialanalysis) | 30.4% | [Artificial Analysis model benchmarks](https://artificialanalysis.ai/models/gpt-5-2) |
| [AA-GPQA Diamond](/benchmarks/gpqa-diamond) | 90.3% | [Artificial Analysis model benchmarks](https://artificialanalysis.ai/models/gpt-5-2) |
| [AA-HLE](/benchmarks/aahle) | 37.7% | [Artificial Analysis model benchmarks](https://artificialanalysis.ai/models/gpt-5-2) |
| [AA-Omniscience Index](/benchmarks/aaomniscienceindex) | -0.9% | [Artificial Analysis model benchmarks](https://artificialanalysis.ai/models/gpt-5-2) |
| [AA-Omniscience Accuracy](/benchmarks/omniscienceaccuracy) | 44.3% | [Artificial Analysis model benchmarks](https://artificialanalysis.ai/models/gpt-5-2) |
| [AA-Omniscience Hallucination Rate](/benchmarks/omnisciencehallucinationrate) | 81.2% | [Artificial Analysis model benchmarks](https://artificialanalysis.ai/models/gpt-5-2) |

## Instruction Following Benchmarks

| Benchmark | Score | Source |
|-----------|-------|--------|
| [AA-IFBench](/benchmarks/ifbench) | 75.4% | [Artificial Analysis model benchmarks](https://artificialanalysis.ai/models/gpt-5-2) |

## Mathematics Benchmarks

| Benchmark | Score | Source |
|-----------|-------|--------|
| [AIME 2025](/benchmarks/aime2025) | 100% | [OpenAI: Introducing GPT-5.2](https://openai.com/index/introducing-gpt-5-2/) |
| [AA AIME 2025](/benchmarks/aaaime2025) | 99.0% | [Artificial Analysis: aime-2025 leaderboard](https://artificialanalysis.ai/evaluations/aime-2025) |
| [FrontierMath v2 (Tiers 1-3)](/benchmarks/frontiermathv2tiers13) | 67.400% | [Epoch AI FrontierMath v2 leaderboard](https://epoch.ai/benchmarks/frontiermath-tiers-1-3-v2) |
| [FrontierMath v2 (Tier 4)](/benchmarks/frontiermathv2tier4) | 31.700% | [Epoch AI FrontierMath v2 leaderboard](https://epoch.ai/benchmarks/frontiermath-tier-4-v2?view=graph&tab=leaderboard) |

## Other OpenAI Models

- [GPT-6.1 Sol](/models/gpt-6-1-sol) - Score: 84.07
- [GPT-6 Astra](/models/gpt-6-astra) - Score: 83.88
- [GPT-6 Sol](/models/gpt-6-sol) - Score: 78.48
- [GPT-5.6 Sol](/models/gpt-5-6-sol) - Score: 75.32
- [GPT-5.5 Pro](/models/gpt-5-5-pro) - Score: 73.37
- [GPT-5.6 Terra](/models/gpt-5-6-terra) - Score: 70.21
- [GPT-5.5](/models/gpt-5-5) - Score: 69.29
- [GPT-5.4 Pro](/models/gpt-5-4-pro) - Score: 68.6
- [GPT-5.4](/models/gpt-5-4) - Score: 66.7
- [GPT-6 Luna](/models/gpt-6-luna) - Score: 66.66
- [GPT-5.2 Pro](/models/gpt-5-2-pro) - Score: 66.65
- [GPT-5.6 Luna](/models/gpt-5-6-luna) - Score: 64.35
- [GPT-5.3 Codex](/models/gpt-5-3-codex) - Score: 60.48
- [GPT-5.1](/models/gpt-5-1) - Score: 57.21
- [GPT-5.2-Codex](/models/gpt-5-2-codex) - Score: 55.3
- [GPT-5.4 mini](/models/gpt-5-4-mini) - Score: 53.41
- [GPT-5.1-Codex](/models/gpt-5-1-codex) - Score: 50.37
- [GPT-5 mini](/models/gpt-5-mini) - Score: 48.39
- [GPT-5.4 nano](/models/gpt-5-4-nano) - Score: 46.86
- [GPT-5 (medium)](/models/gpt-5-medium) - Score: 45.99
- [o3](/models/o3) - Score: 45.44
- [o3-pro](/models/o3-pro) - Score: 45.38
- [o3-mini](/models/o3-mini) - Score: 39.56
- [o1](/models/o1) - Score: 38.38
- [GPT-4.1](/models/gpt-4-1) - Score: 37.6
- [GPT-5 nano](/models/gpt-5-nano) - Score: 37.37
- [GPT-OSS 120B](/models/gpt-oss-120b) - Score: 37.32
- [o1-preview](/models/o1-preview) - Score: 35.98
- [o1-pro](/models/o1-pro) - Score: 35.72
- [GPT-OSS 20B](/models/gpt-oss-20b) - Score: 33.32
- [GPT-4o](/models/gpt-4o) - Score: 29.92
- [GPT-4.1 mini](/models/gpt-4-1-mini) - Score: 29.27
- [GPT-4o mini](/models/gpt-4o-mini) - Score: 26.8
- [GPT-4.1 nano](/models/gpt-4-1-nano) - Score: 24.53
- [GPT-4 Turbo](/models/gpt-4-turbo) - Score: 21.54
- [GPT-4.5](/models/gpt-4-5) - Score: not computed
- [GPT-5.1-Codex-Max](/models/gpt-5-1-codex-max) - Score: not computed
- [o4-mini](/models/o4-mini) - Score: not computed
- [o4-mini (high)](/models/o4-mini-high) - Score: not computed
- [o1-mini](/models/o1-mini) - Score: not computed
- [GPT-5.2 Instant](/models/gpt-5-2-instant) - Score: not computed
- [GPT-5.3 Instant](/models/gpt-5-3-instant) - Score: not computed
- [GPT-5 (high)](/models/gpt-5-high) - Score: not computed
- [GPT-5.3-Codex-Spark](/models/gpt-5-3-codex-spark) - Score: not computed
- [GPT-5.6 Luna (low)](/models/gpt-5-6-luna-low) - Score: not computed
- [GPT-6 Luna (low)](/models/gpt-6-luna-low) - Score: not computed
- [GPT-6 Luna (medium)](/models/gpt-6-luna-medium) - Score: not computed
- [GPT-Live-1](/models/gpt-live-1) - Score: not computed
- [GPT-5.6 Cyber](/models/gpt-5-6-cyber) - Score: not computed
- [GPT Live Transcribe](/models/gpt-live-transcribe) - Score: not computed
- [GPT Transcribe](/models/gpt-transcribe) - Score: not computed
- [GPT Realtime 2.1](/models/gpt-realtime-2-1) - Score: not computed
- [GPT Realtime 2.1 Mini](/models/gpt-realtime-2-1-mini) - Score: not computed
- [GPT Audio 1.5](/models/gpt-audio-1-5) - Score: not computed
- [GPT Realtime 1.5](/models/gpt-realtime-1-5) - Score: not computed
- [GPT Realtime mini](/models/gpt-realtime-mini) - Score: not computed
- [GPT Realtime](/models/gpt-realtime) - Score: not computed
- [GPT-4o mini TTS](/models/gpt-4o-mini-tts) - Score: not computed
- [GPT-4o mini Audio](/models/gpt-4o-mini-audio) - Score: not computed
- [GPT-4o Audio](/models/gpt-4o-audio) - Score: not computed
- [Whisper large-v3-turbo](/models/whisper-large-v3-turbo) - Score: not computed
- [GPT Realtime 2](/models/gpt-realtime-2) - Score: not computed