Pairwise benchmark snapshot · Aug 16, 2026
This page compares GLM-5.2 (Zhipu) and GPT-4.5 Orion (OpenAI) using the latest snapshots we have as of Aug 16, 2026. On preference Elo, GPT-4.5 Orion is ahead by 48 points (1,540 vs 1,492; seed-bootstrap (Aug 1, 2026)). On SWE-bench coding, GPT-4.5 Orion resolves 71% versus 69.3% (seed-bootstrap (Aug 1, 2026)). GLM-5.2 streams faster (84 tok/s) while GLM-5.2 is the cheaper output token ($0.97/1M). GLM-5.2 has the larger context window (1M tokens). Every cell below is a dated snapshot from a named public source — we do not invent missing scores, and we do not run SWE-bench ourselves.
Zhipu
GLM-5.2Zhipu flagship. Strong Chinese/English coding and agents.
OpenAI
GPT-4.5 OrionOpenAI largest dense non-reasoning model with expansive world knowledge and reduced hallucinations.
Instant pairwise benchmark recalculation across 400+ LLMs
Category wins across intelligence, speed, and pricing efficiency.
Preference Elo, Coding proficiency, SWE-bench & LiveBench accuracy
Generation throughput and time to first token responsiveness
Cost per million tokens and max context window length
Each spoke is a skill. Farther from the center is better (0–100th percentile). Tap any dot to inspect details.
48 pts advantage
24 tok/s faster
$149.03/1M cheaper
Simulate monthly production API costs based on published $/1M tokens.
GLM-5.2 is estimated to save $4,849.70/month ($58,196/year).
Higher SWE-bench (71%).
Lower output list price ($0.97/1M).
Lower TTFT (270 ms).
Larger window (1M).
Both accept images. Defaulting to the higher-Elo side (GPT-4.5 Orion).
| Target Workload | Recommended Pick | Evaluation Rationale |
|---|---|---|
| Repo / coding agents | GPT-4.5 Orion | Higher SWE-bench (71%). |
| High-volume chat | GLM-5.2 | Lower output list price ($0.97/1M). |
| Voice / low-latency UI | GLM-5.2 | Lower TTFT (270 ms). |
| Long-document RAG | GLM-5.2 | Larger window (1M). |
| Screenshots / vision | GPT-4.5 Orion | Both accept images. Defaulting to the higher-Elo side (GPT-4.5 Orion). |
GLM-5.2 undercuts GLM 5V Turbo by 74.2% on input at $0.31/1M, with 1,492 Elo and 69.3% SWE-bench in dated 2026 snapshots.
Strong Chinese/English coding. 5.3 is the new row; 5.2 stays so the delta is visible.
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The real PNG is generated at /compare/glm-5-2-vs-gpt-4-5/opengraph-image for crawlers.
Verified head-to-head card