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GPT-5.5

OpenAICurrentReleased Apr 23, 2026
Overall Score
91Prov. #3 of 115Verified #3 of 23
Arena Elo
1475
Categories Ranked
2of 8
Price (1M tokens)
$5 in / $30 out
Speed
N/A
Context
1M
ProprietaryReasoning
Confidence
base

According to BenchLM.ai, GPT-5.5 ranks #3 out of 115 models on the provisional leaderboard with an overall score of 91/100. It also ranks #3 out of 23 on the verified leaderboard. This places it among the top tier of AI models available in 2026, competing directly with the strongest models from leading AI labs.

GPT-5.5 is a proprietary model with a 1M 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-5.5 sits inside the GPT-5.5 family alongside GPT-5.5 Pro. BenchLM links it directly to GPT-5.4 as the earlier related model in that lineage. This profile currently has 22 of 193 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 Agentic (#2), while its weakest is Multimodal & Grounded (#53). This performance profile makes it particularly useful for coding agents, browser research, and computer-use workflows.

Ranking Distribution

Category rank across 6 benchmark categories — sorted by best rank

Category Performance

Scores across all benchmark categories (0-100 scale)

Category Breakdown

Agentic

#2
98.3/ 100
Weight: 22%7 benchmarks
Terminal-Bench 2.0BrowseCompOSWorld-VerifiedGAIATAU-benchWebArena

Coding

84.2/ 100
Weight: 20%4 benchmarks
SWE-bench VerifiedLiveCodeBenchSWE-bench ProSWE-RebenchSciCode

Reasoning

96.5/ 100
Weight: 17%3 benchmarks
MuSRLongBench v2MRCRv2ARC-AGI-2

Knowledge

98.1/ 100
Weight: 12%4 benchmarks
GPQASuperGPQAMMLU-ProHLEFrontierScienceSimpleQA

Math

96.9/ 100
Weight: 5%1 benchmark
AIME 2025BRUMO 2025MATH-500FrontierMath

Multilingual

0.0/ 100
Weight: 7%0 benchmarks
MGSMMMLU-ProX

Multimodal

#53
57.2/ 100
Weight: 12%3 benchmarks
MMMU-ProOfficeQA ProCharXivCharXiv w/o tools

Inst. Following

0.0/ 100
Weight: 5%0 benchmarks
IFEvalIFBench

Chatbot Arena Performance

Text Overall1475CI: ±8.15,302 votes
Coding1509CI: ±15.61,384 votes
Math1496CI: ±32.5307 votes
Instruction Following1465CI: ±14.41,619 votes
Creative Writing1430CI: ±19.8921 votes
Multi-turn1487CI: ±21.1783 votes
Hard Prompts1491CI: ±10.33,194 votes
Hard Prompts (English)1492CI: ±14.31,628 votes
Longer Query1474CI: ±13.91,769 votes

Benchmark Details

Only benchmark rows with an attached exact-source record are shown here. Source-unverified manual rows and generated rows are hidden from model pages.

GPT-5.5 Family

Base entry

Related Earlier Model

GPT-5.4

Frequently Asked Questions

How does GPT-5.5 perform overall in AI benchmarks?

GPT-5.5 currently ranks #3 out of 115 models on BenchLM's provisional leaderboard with an overall score of 91. It also ranks #3 out of 23 on the verified leaderboard. It is created by OpenAI and features a 1M context window.

Is GPT-5.5 good for knowledge and understanding?

GPT-5.5 has visible benchmark coverage in knowledge and understanding, but BenchLM does not currently assign it a global category rank there.

Is GPT-5.5 good for coding and programming?

GPT-5.5 has visible benchmark coverage in coding and programming, but BenchLM does not currently assign it a global category rank there.

Is GPT-5.5 good for mathematics?

GPT-5.5 has visible benchmark coverage in mathematics, but BenchLM does not currently assign it a global category rank there.

Is GPT-5.5 good for reasoning and logic?

GPT-5.5 has visible benchmark coverage in reasoning and logic, but BenchLM does not currently assign it a global category rank there.

Is GPT-5.5 good for agentic tool use and computer tasks?

GPT-5.5 ranks #2 out of 115 models in agentic tool use and computer tasks benchmarks with an average score of 98.3. It is among the top performers in this category.

Is GPT-5.5 good for multimodal and grounded tasks?

GPT-5.5 ranks #53 out of 115 models in multimodal and grounded tasks benchmarks with an average score of 57.2. There are stronger options in this category.

Which sibling models are related to GPT-5.5?

GPT-5.5 belongs to the GPT-5.5 family. Related variants on BenchLM include GPT-5.5 Pro.

Does GPT-5.5 have full benchmark coverage on BenchLM?

Not yet. GPT-5.5 currently has 22 published benchmark scores out of the 193 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-5.5?

GPT-5.5 has a context window of 1M, which determines how much text it can process in a single interaction.

Last updated: May 13, 2026 · Runtime metrics stay blank until BenchLM has a sourced snapshot.

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