Model profile
GPT-5.2
Evidence coverage
28 of 321 tracked benchmarks are published. 11 are verified and 17 provisional. 7 of 8 categories are measured.
- Published / tracked
- 28 / 321
- Verified
- 11
- Provisional
- 17
- Categories with evidence
- 7 / 8
Evidence by category
- Agentic5 benchmarksMixed evidence
- Coding4 benchmarksMixed evidence
- Reasoning3 benchmarksMixed evidence
- Knowledge7 benchmarksReported
- Math3 benchmarksMixed evidence
- Multilingual0 benchmarksNot measured
- Multimodal5 benchmarksMixed evidence
- Inst. Following1 benchmarkReported
GPT-5.2 ranks #64 out of 200 models on the public leaderboard with an overall score of 58.43/100. It does not yet have enough sourced coverage for BenchLM's verified leaderboard. While not a frontier model, it offers specific advantages depending on the use case.
GPT-5.2 is a proprietary model with a 400K token context window. It uses explicit chain-of-thought reasoning, which typically improves performance on math and complex reasoning tasks at the cost of higher latency and token usage.
GPT-5.2 sits inside the GPT-5.2 family alongside GPT-5.2 Instant, GPT-5.2 Pro. This profile currently has 28 of 321 tracked benchmarks. BenchLM only exposes non-generated benchmark rows publicly, so missing categories stay blank until a sourced evaluation is available.
Its strongest category is Multimodal & Grounded (#12), while its weakest is Agentic (#90). This performance profile makes it particularly strong for screenshots, documents, charts, and grounded multimodal workflows.
Peer position
Exact provisional scores and ranks for the closest listed peers. A score can appear before a model clears the evidence threshold for a rank, so equal scores can have different rank states.
Range 58.01–58.9
- GPT-5.3 InstantOpenAICompare#6058.9GPT-5.3 Instant is #60 with a score of 58.9.
- DeepSeek V4 FlashDeepSeekCompare#6158.88DeepSeek V4 Flash is #61 with a score of 58.88.
- MiMo-V2.5XiaomiCompare#6258.62MiMo-V2.5 is #62 with a score of 58.62.
- GPT-5 (high)OpenAICompare#6358.61GPT-5 (high) is #63 with a score of 58.61.
- GPT-5.2Current modelOpenAI#6458.43GPT-5.2 is #64 with a score of 58.43.
- DeepSeek V3.2 (Thinking)DeepSeekCompare#6558.15DeepSeek V3.2 (Thinking) is #65 with a score of 58.15.
- Qwen3 235B 2507 (Reasoning)AlibabaCompare#6658.01Qwen3 235B 2507 (Reasoning) is #66 with a score of 58.01.
Category percentile
More
Relative position among models eligible for each sourced category. A higher percentile means a stronger position within that category's ranked cohort; 100 is highest.
- Knowledge78%Eligible cohort rank #12 of 52Category score 81.0
- Multimodal61%Eligible cohort rank #12 of 29Category score 69.3
- Coding70%Eligible cohort rank #37 of 122Category score 54.2
- Agentic25%Eligible cohort rank #90 of 119Category score 41.6
Category evidence
Scores and ranks appear only where this model has published benchmark evidence. Categories without displayable source records remain not measured.
| Category | Score | Rank | Percentile | Weight | Benchmarks | Evidence |
|---|---|---|---|---|---|---|
| AgenticRank #90 of 119Percentile 25thWeight 22%5 benchmarksMixed sources | 41.6 | #90 of 119 | 25th | 22% | 5 benchmarks | Mixed sources |
| CodingRank #37 of 122Percentile 70thWeight 20%4 benchmarksMixed sources | 54.2 | #37 of 122 | 70th | 20% | 4 benchmarks | Mixed sources |
| ReasoningRank Not rankedWeight 17%3 benchmarksMixed sources | 65.4 | Not ranked | Not available | 17% | 3 benchmarks | Mixed sources |
| KnowledgeRank #12 of 52Percentile 78thWeight 12%7 benchmarksReported | 81.0 | #12 of 52 | 78th | 12% | 7 benchmarks | Reported |
| MathRank Not rankedWeight 5%3 benchmarksMixed sources | 58.5 | Not ranked | Not available | 5% | 3 benchmarks | Mixed sources |
| MultilingualWeight 7%0 benchmarksNot measured | Not measured | Not ranked | Not available | 7% | 0 benchmarks | Not measured |
| MultimodalRank #12 of 29Percentile 61stWeight 12%5 benchmarksMixed sources | 69.3 | #12 of 29 | 61st | 12% | 5 benchmarks | Mixed sources |
| Inst. FollowingRank Not rankedWeight 5%1 benchmarkReported | 82.4 | Not ranked | Not available | 5% | 1 benchmark | Reported |
Chatbot Arena performance
Scroll horizontally to inspect confidence intervals and vote counts.
| View | Elo | Confidence interval | Votes |
|---|---|---|---|
| Text Overall | 1435 | ±3.3 | 75,293 |
| Coding | 1482 | ±5.4 | 19,600 |
| Math | 1433 | ±9.7 | 4,166 |
| Instruction Following | 1422 | ±5.0 | 24,212 |
| Creative Writing | 1390 | ±6.5 | 12,208 |
| Multi-turn | 1444 | ±6.0 | 14,241 |
| Hard Prompts | 1459 | ±4.1 | 47,089 |
| Hard Prompts (English) | 1458 | ±5.1 | 23,340 |
| Longer Query | 1441 | ±5.0 | 29,033 |
Benchmark Details
Rows below have a displayable published verification record. Each source link and provenance note remains in the page HTML while its category is closed. Source-unverified manual rows and generated rows stay hidden.
Agentic5 benchmarks
τ²-Bench Tool-Agent-User Evaluation
Gert Labs Composite Game Benchmark
Coding4 benchmarks
Software Engineering Benchmark Verified
Vibe Code Bench v1.1
Artificial Analysis SciCode
Reasoning3 benchmarks
Abstraction and Reasoning Corpus for AGI v2
Artificial Analysis Long Context Reasoning
Critical Physics Tasks
Knowledge7 benchmarks
Graduate-Level Google-Proof Q&A
Artificial Analysis GPQA Diamond
Artificial Analysis Humanity's Last Exam
Artificial Analysis Omniscience Index
Artificial Analysis Omniscience Accuracy
Artificial Analysis Omniscience Hallucination Rate
Math3 benchmarks
FrontierMath v2 Tiers 1-3
FrontierMath v2 Tier 4
Artificial Analysis AIME 2025
Multimodal5 benchmarks
Massive Multi-discipline Multimodal Understanding Pro
CharXiv Reasoning
Design Arena Website Elo
Inst. Following1 benchmark
Artificial Analysis IFBench
Frequently Asked Questions
How does GPT-5.2 perform overall in AI benchmarks?
GPT-5.2 currently ranks #64 out of 200 models on BenchLM's provisional leaderboard with an overall score of 58.43. It is created by OpenAI. Its published context window is 400K.
Is GPT-5.2 good for knowledge and understanding?
GPT-5.2 ranks #12 out of 52 models in knowledge and understanding benchmarks with an average score of 81. There are stronger options in this category.
Is GPT-5.2 good for coding and programming?
GPT-5.2 ranks #37 out of 122 models in coding and programming benchmarks with an average score of 54.2. There are stronger options in this category.
Is GPT-5.2 good for mathematics?
GPT-5.2 has visible benchmark coverage in mathematics, but BenchLM does not currently assign it a global category rank there.
Is GPT-5.2 good for reasoning and logic?
GPT-5.2 has visible benchmark coverage in reasoning and logic, but BenchLM does not currently assign it a global category rank there.
Is GPT-5.2 good for agentic tool use and computer tasks?
GPT-5.2 ranks #90 out of 119 models in agentic tool use and computer tasks benchmarks with an average score of 41.6. There are stronger options in this category.
Is GPT-5.2 good for multimodal and grounded tasks?
GPT-5.2 ranks #12 out of 29 models in multimodal and grounded tasks benchmarks with an average score of 69.3. There are stronger options in this category.
Is GPT-5.2 good for instruction following?
GPT-5.2 has visible benchmark coverage in instruction following, but BenchLM does not currently assign it a global category rank there.
Which sibling models are related to GPT-5.2?
GPT-5.2 belongs to the GPT-5.2 family. Related variants on BenchLM include GPT-5.2 Instant, GPT-5.2 Pro.
Does GPT-5.2 have full benchmark coverage on BenchLM?
Not yet. GPT-5.2 currently has 28 published benchmark scores out of the 321 benchmarks BenchLM tracks. BenchLM only exposes non-generated public benchmark rows, so missing categories stay blank until a sourced evaluation is available.
What is the context window size of GPT-5.2?
GPT-5.2 has a published context window of 400K, which determines how much text it can process in a single interaction.
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