# GPT-5.5 Benchmark Scores & Performance

> GPT-5.5 by OpenAI scores 73.27/100 overall, ranking #8 out of 411 AI models.

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

Last updated: September 4, 2026

## Model Details

| Property | Value |
|----------|-------|
| Creator | OpenAI |
| Source Type | Proprietary |
| Reasoning Type | Reasoning |
| Context Window | 1M |
| Overall Score | 73.27/100 |
| Overall Rank | #8 of 411 |

## Family & Coverage

- Family: GPT-5.5
- Variant: base
- Benchmarks covered: 62 of 422
- Sibling models: [GPT-5.5 Pro](/models/gpt-5-5-pro)
- Related earlier model: [GPT-5.4](/models/gpt-5-4)
- Coverage note: BenchLM currently has partial benchmark coverage for this model, so the overall score is conservative.

## Agentic Benchmarks

| Benchmark | Score |
|-----------|-------|
| [Terminal-Bench 2.0](/benchmarks/terminal-bench-2) | 82% |
| [CyberGym](/benchmarks/cybergym) | 81.8% |
| [BrowseComp](/benchmarks/browsecomp) | 84.4% |
| [OSWorld-Verified](/benchmarks/osworld-verified) | 78.7% |
| [MCP Atlas](/benchmarks/mcpatlas) | 75.3% |
| [Toolathlon](/benchmarks/toolathlon) | 55.6% |
| [τ²-bench results](/benchmarks/tau2-bench) | 98% |
| [AA Agentic Index](/benchmarks/aaagenticindex) | 47.4% |
| [APEX-Agents-AA](/benchmarks/apexagentsaa) | 37.7% |
| [GDPval-AA](/benchmarks/gdpvalaanormalized) | 49.1% |
| [GDPval-AA](/benchmarks/gdpvalaa) | 1482 |
| [Gert Labs](/benchmarks/gertlabs) | 72.93% |
| [ResearchClawBench](/benchmarks/researchclawbench) | 17.0% |
| [OSWorld 2.0](/benchmarks/osworld2) | 13.0% |
| [JobBench](/benchmarks/jobbench) | 42.7% |
| [ExploitGym](/benchmarks/exploitgym) | 13.4% |
| [AA ITBench](/benchmarks/aaitbench) | 45.8% |
| [AA EnterpriseOps-Gym](/benchmarks/aaenterpriseopsgym) | 46.6% |
| [terminalBenchHard](/benchmarks/terminal-bench-hard) | 60.6% |
| [Terminal-Bench 2.1 (Vals)](/benchmarks/valsterminalbench21) | 76.4% |

## Coding Benchmarks

| Benchmark | Score |
|-----------|-------|
| [SWE-bench Pro](/benchmarks/swe-bench-pro) | 58.6% |
| [Terminal-Bench 2.0](/benchmarks/terminal-bench-2) | 82.0% |
| [Vibe Code Bench](/benchmarks/vibecodebench) | 69.85% |
| [React Native Evals](/benchmarks/reactnativeevals) | 84.7% |
| [cursorBench31](/benchmarks/cursorbench31) | 59.2% |
| [cursorBench32](/benchmarks/cursorbench32) | 58.4% |
| [AA Coding Index](/benchmarks/aacodingindex) | 74.9% |
| [AA-SciCode](/benchmarks/aascicode) | 56.1% |
| [FrontierCode 1.1 Main](/benchmarks/frontiercode) | 43.0% |
| [LiveCodeBench (Vals)](/benchmarks/valslivecodebench) | 85.3% |
| [SWE-bench (Vals)](/benchmarks/valsswebench) | 82.6% |

## Multimodal & Grounded Benchmarks

| Benchmark | Score |
|-----------|-------|
| [MMMU-Pro](/benchmarks/mmmu-pro) | 81.2% |
| [MMMU-Pro w/ Python](/benchmarks/mmmupropython) | 83.2% |
| [OfficeQA Pro](/benchmarks/officeqapro) | 54.1% |
| [AA-MMMU-Pro](/benchmarks/aammmupro) | 79.9% |
| [Design Arena Website](/benchmarks/designarenawebsite) | 1271 |

## Reasoning Benchmarks

| Benchmark | Score |
|-----------|-------|
| [MRCR v2 64K-128K](/benchmarks/mrcr-v2-64k-128k) | 83.1% |
| [MRCR v2 128K-256K](/benchmarks/mrcr-v2-128k-256k) | 87.5% |
| [ARC-AGI-2](/benchmarks/arc-agi-2) | 85% |
| [ARC-AGI-3](/benchmarks/arcagi3) | 0.4% |
| [AA-LCR](/benchmarks/lcr) | 79.0% |
| [CritPt](/benchmarks/critpt) | 27.1% |

## Knowledge Benchmarks

| Benchmark | Score |
|-----------|-------|
| [GPQA](/benchmarks/gpqa) | 93.6% |
| [GPQA-D](/benchmarks/gpqa-diamond) | 93.6% |
| [HLE](/benchmarks/hle) | 52.2% |
| [HLE w/o tools](/benchmarks/hlenotools) | 41.4% |
| [Artificial Analysis Intelligence Index](/benchmarks/artificialanalysis) | 56.3% |
| [AA-GPQA Diamond](/benchmarks/aagpqadiamond) | 93.5% |
| [AA-HLE](/benchmarks/aahle) | 45.8% |
| [AA-Omniscience Index](/benchmarks/aaomniscienceindex) | 20.5% |
| [AA-Omniscience Accuracy](/benchmarks/omniscienceaccuracy) | 58.0% |
| [AA-Omniscience Hallucination Rate](/benchmarks/omnisciencehallucinationrate) | 89.0% |
| [GPQA Diamond (Vals)](/benchmarks/valsgpqadiamond) | 93.2% |
| [MMLU-Pro (Vals)](/benchmarks/valsmmlupro) | 88.1% |

## Instruction Following Benchmarks

| Benchmark | Score |
|-----------|-------|
| [AA-IFBench](/benchmarks/aaifbench) | 75.9% |

## Mathematics Benchmarks

| Benchmark | Score |
|-----------|-------|
| [FrontierMath (legacy)](/benchmarks/frontiermath) | 51.7% |
| [FrontierMath v2 (Tiers 1-3)](/benchmarks/frontiermathv2tiers13) | 51.700% |
| [FrontierMath v2 (Tier 4)](/benchmarks/frontiermathv2tier4) | 35.400% |

## Other OpenAI Models

- [GPT-6 Astra](/models/gpt-6-astra) - Score: 81.05
- [GPT-5.6 Sol](/models/gpt-5-6-sol) - Score: 79.64
- [GPT-5.6 Terra](/models/gpt-5-6-terra) - Score: 71.44
- [GPT-5.4](/models/gpt-5-4) - Score: 70.96
- [GPT-5.2 Pro](/models/gpt-5-2-pro) - Score: 68.73
- [GPT-5.6 Luna](/models/gpt-5-6-luna) - Score: 65.54
- [GPT-5.2](/models/gpt-5-2) - Score: 65.45
- [GPT-5.3 Codex](/models/gpt-5-3-codex) - Score: 65.22
- [GPT-5.1](/models/gpt-5-1) - Score: 63.68
- [GPT-5.5 Pro](/models/gpt-5-5-pro) - Score: 63.07
- [GPT-5.4 mini](/models/gpt-5-4-mini) - Score: 62.63
- [GPT-5.4 nano](/models/gpt-5-4-nano) - Score: 62.19
- [GPT-5.4 Pro](/models/gpt-5-4-pro) - Score: 61.75
- [GPT-5.2 Instant](/models/gpt-5-2-instant) - Score: 58.4
- [GPT-5.3 Instant](/models/gpt-5-3-instant) - Score: 58.3
- [GPT-5 (high)](/models/gpt-5-high) - Score: 58.03
- [GPT-5.2-Codex](/models/gpt-5-2-codex) - Score: 56.38
- [GPT-5.3-Codex-Spark](/models/gpt-5-3-codex-spark) - Score: 56.34
- [GPT-5.1-Codex-Max](/models/gpt-5-1-codex-max) - Score: 53.95
- [GPT-5 (medium)](/models/gpt-5-medium) - Score: 52.81
- [GPT-5.1-Codex](/models/gpt-5-1-codex) - Score: 51.62
- [o4-mini (high)](/models/o4-mini-high) - Score: 49.57
- [GPT-OSS 120B](/models/gpt-oss-120b) - Score: 49.26
- [o3-pro](/models/o3-pro) - Score: 49.16
- [o3](/models/o3) - Score: 49.12
- [o3-mini](/models/o3-mini) - Score: 48.06
- [o1](/models/o1) - Score: 47.89
- [o1-preview](/models/o1-preview) - Score: 47.79
- [GPT-5 mini](/models/gpt-5-mini) - Score: 46.29
- [o1-pro](/models/o1-pro) - Score: 45.5
- [GPT-4.1](/models/gpt-4-1) - Score: 43.81
- [GPT-OSS 20B](/models/gpt-oss-20b) - Score: 42.95
- [GPT-4o](/models/gpt-4o) - Score: 40.48
- [GPT-5 nano](/models/gpt-5-nano) - Score: 39.72
- [GPT-4.1 mini](/models/gpt-4-1-mini) - Score: 34.46
- [GPT-4o mini](/models/gpt-4o-mini) - Score: 34.21
- [GPT-4.1 nano](/models/gpt-4-1-nano) - Score: 28.43
- [GPT-4 Turbo](/models/gpt-4-turbo) - Score: 25.47
- [GPT-5.6 Cyber](/models/gpt-5-6-cyber) - Score: not computed
- [GPT Realtime 1.5](/models/gpt-realtime-1-5) - Score: not computed
- [GPT-4o mini TTS](/models/gpt-4o-mini-tts) - Score: not computed
- [GPT Realtime](/models/gpt-realtime) - Score: not computed
- [GPT Realtime 2](/models/gpt-realtime-2) - Score: not computed
- [GPT Realtime mini](/models/gpt-realtime-mini) - Score: not computed
- [GPT-4o Audio](/models/gpt-4o-audio) - Score: not computed
- [GPT-4o mini Audio](/models/gpt-4o-mini-audio) - Score: not computed