GPT-5.5 vs GLM-4.7
OpenAI GPT-5.5 | Z.ai GLM-4.7 | |
|---|---|---|
| Overview | ||
| Company | OpenAI | Z.ai |
| Release date | Apr 23 2026 | Dec 22 2025 |
| Access | Proprietary | Open Weight |
| Specifications | ||
Context window | 1.05M | 128k |
| Benchmarks | ||
Nonsense detection BullshitBench v2Given a confidently-worded but nonsensical prompt, does the AI spot that it makes no sense and push back — instead of playing along and inventing an answer? The score is how often it clearly called out the nonsense. Higher is better. | 47% | — |
Agentic coding SWE-Bench ProCan the AI fix real bugs in real software? It's handed actual problems from open-source projects and has to write code that genuinely solves them. Higher is better. | 58.6% | — |
Coding SWE-Bench VerifiedReal coding tasks pulled from open-source projects — the AI has to find and fix actual bugs. A human-checked version of the original SWE-Bench. Higher is better. | — | 73.8% |
Multilingual coding SWE-Bench MultilingualLike SWE-Bench, but the coding problems span many programming languages, not just one. Tests how broadly the AI can code. Higher is better. | 77.8% | — |
Agentic coding CursorBench v3.1Cursor's own test of harder, real-world coding tasks inside a code editor. Higher is better. | 59.2% | — |
Agentic terminal coding Terminal-Bench 2.1Can the AI work in a command-line terminal — running commands and finishing technical setup tasks the way a developer would? Higher is better. | 78.2% | — |
Agentic terminal coding Terminal-Bench 2.0Can the AI work in a command-line terminal — running commands and finishing technical setup tasks the way a developer would? (Version 2.0 of the test.) Higher is better. | 82.7%Best | 41% |
Software engineering Expert-SWE (Internal)OpenAI's private set of expert-level software-engineering problems. Higher is better. | 73.1% | — |
Multi-step tool use MCP AtlasCan the AI chain together many tools and steps to complete one bigger task, rather than doing just a single thing? Higher is better. | 75.3% | — |
General tool use ToolathlonTests how well the AI uses everyday real-world tools and apps to get things done. Higher is better. | 55.6% | — |
Web browsing BrowseCompCan the AI browse the web and track down hard-to-find answers? Higher is better. | 84.4%Best | 52% |
Cybersecurity CyberGymTests the AI on cybersecurity challenges — finding and exploiting software weaknesses inside a safe sandbox. Higher is better. | 81.8% | — |
Multidisciplinary reasoning Humanity's Last Exam · no toolsHumanity's Last Exam — extremely hard expert questions across many subjects, written so you can't just look up the answer. “No tools” means the AI answers on its own. Higher is better. | 41.4%Best | 24.8% |
Multidisciplinary reasoning Humanity's Last Exam · with toolsHumanity's Last Exam — extremely hard expert questions across many subjects. “With tools” means the AI is allowed to search the web or run code while answering. Higher is better. | 52.2%Best | 42.8% |
Abstract reasoning ARC-AGI-2Puzzle-style tests of abstract reasoning and pattern-finding — the kind of thing people find easy but AIs often struggle with. Higher is better. | 84.6% | — |
Advanced math FrontierMath · Tier 1–3Very hard, research-level math problems. Tiers 1–3 are the (still extremely difficult) lower tiers. Higher is better. | 51.7% | — |
Advanced math FrontierMath · Tier 4Very hard, research-level math problems. Tier 4 is the hardest — close to what professional research mathematicians tackle. Higher is better. | 35.4% | — |
Science GPQA DiamondGraduate-level science questions in biology, physics, and chemistry — hard enough that subject-matter PhDs score around 65%. Higher is better. | 93.6%Best | 85.7% |
Agentic computer use OSWorld-VerifiedCan the AI actually operate a computer — clicking, typing, and using real apps — to finish tasks on its own? Higher is better. | 78.7% | — |
Agentic financial analysis Finance Agent v2Tests the AI on real financial-analysis work, like digging through reports and making sound decisions. Higher is better. | 51.8% | — |
Knowledge work GDPval-AAMeasures how well the AI does economically valuable knowledge work, judged against human experts. Shown as a rating (like a chess Elo) — higher is better. | 1769 | — |
Knowledge work GDPval (win/tie rate)How often the AI's work matches or beats a human expert's on real knowledge-work tasks. Higher is better. | 84.9% | — |
Chart reasoning CharXiv ReasoningCan the AI read and reason about complex charts and figures, not just text? Higher is better. | 84.1% | — |
Multimodal reasoning MMMU-ProA tougher version of MMMU — college-level questions that mix images, diagrams, and text together. Higher is better. | 81.2% | — |
Spatial reasoning Blueprint-Bench 2Can the AI reason about space and layout — for example, understanding a floor plan or blueprint? Higher is better. | 36.2% | — |
Long context MRCR v2 (8-needle) · 128k averageTests whether the AI can find specific details buried inside a very long document (around 128k tokens — roughly a long book). Higher is better. | 94.8% | — |
| Timeline | ||
| Release gap | GLM-4.7 shipped 122 days before GPT-5.5 | |
Which is better: GPT-5.5 or GLM-4.7?
GPT-5.5 leads GLM-4.7 on 5 of the 5 benchmarks they both report (Terminal-Bench 2.0, BrowseComp, Humanity's Last Exam, GPQA Diamond). GLM-4.7 shipped 122 days before GPT-5.5, so benchmark comparisons should account for the intervening progress.
Context windows are 1.05M (GPT-5.5) vs 128k (GLM-4.7). GPT-5.5 is proprietary, while GLM-4.7 is open weight.
On Terminal-Bench 2.0, GPT-5.5 leads at 82.7% vs GLM-4.7 at 41%. On BrowseComp, GPT-5.5 leads at 84.4% vs GLM-4.7 at 52%. On Humanity's Last Exam · no tools, GPT-5.5 leads at 41.4% vs GLM-4.7 at 24.8%. On Humanity's Last Exam · with tools, GPT-5.5 leads at 52.2% vs GLM-4.7 at 42.8%. On GPQA Diamond, GPT-5.5 leads at 93.6% vs GLM-4.7 at 85.7%.
Frequently asked questions
GPT-5.5 was released by OpenAI on Apr 23 2026.
GLM-4.7 was released by Z.ai on Dec 22 2025.
GPT-5.5 leads on Terminal-Bench 2.0 — GPT-5.5 82.7% vs GLM-4.7 41%.
GPT-5.5 leads on Humanity's Last Exam · no tools — GPT-5.5 41.4% vs GLM-4.7 24.8%.
GPT-5.5 has a 1.05M context window; GLM-4.7 has 128k.
GPT-5.5 is a proprietary model released by OpenAI. GLM-4.7 is an open weight model released by Z.ai.