Pairwise benchmark snapshot · Aug 17, 2026noindex (thin pair)
This page compares GLM-5.2 (Zhipu) and MAI-Image-2.5 (Microsoft AI) using the latest snapshots we have as of Aug 17, 2026. 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.
Microsoft AI
MAI-Image-2.5Microsoft AI proprietary foundation image model for Copilot Studio and enterprise creative workflows.
Instant pairwise benchmark recalculation across 400+ LLMs
Category wins across intelligence, speed, and pricing efficiency.
Arena Preference Elo, prompt fidelity & typography score
Time to render full-resolution image snapshot (seconds)
API inference cost per 1,000 generated images
Each spoke is a skill. Farther from the center is better (0–100th percentile). Tap any dot to inspect details.
No shared data
No shared data
No shared data
Simulate monthly production API costs in USD (US Dollar).
GLM-5.2 is estimated to save $1,202.50/month ($14,430/year).
Need SWE-bench on both sides.
Need list prices.
Need TTFT on both sides.
Need context sizes.
Both accept images. Defaulting to the higher-Elo side (undefined).
| Target Workload | Recommended Pick | Evaluation Rationale |
|---|---|---|
| Repo / coding agents | insufficient data | Need SWE-bench on both sides. |
| High-volume chat | insufficient data | Need list prices. |
| Voice / low-latency UI | insufficient data | Need TTFT on both sides. |
| Long-document RAG | insufficient data | Need context sizes. |
| Screenshots / vision | insufficient data | Both accept images. Defaulting to the higher-Elo side (undefined). |
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.
No comments posted on this matchup yet. Be the first to share an evaluation note!
The real PNG is generated at /compare/glm-5-2-vs-mai-image-2-5/opengraph-image for crawlers.
Verified head-to-head card
