The first entry is always the pin's source. Overall confidence is a weighted average of how firmly each reference supports the start and end times used above; a reference counts half as much for every 180 days older than the newest.
Vercel's[5] AI Gateway describes GLM-5V-Turbo as "released April 1, 2026" and OpenRouter lists z-ai/glm-5v-turbo with a 1 April 2026 creation date; SiliconFlow's[4] 2 April post says it is "now officially live" and The Decoder[2] reported it on 3 April. Z.ai's developer docs carry no dated announcement for this model, so the day rests on those listings.
Independent report: CogViT vision encoder, native multimodal training, 30+ task joint RL, 200K context and 128K output, and that Claude Opus 4.6 leads on Flame-VLM-Code and OSWorld.[1]
Gives 744B total and 40B active parameters, 202,752-token context, $1.20 and $4.00 per million tokens and the Design2Code 94.8 against 77.3 comparison.[1]
SiliconFlow's 2 April post that GLM-5V-Turbo is "now officially live" on its API, restating Z.ai's positioning as a native multimodal coding foundation model for vision-based coding and agent tasks.
Vercel's model page says GLM 5V Turbo "is Z.AI's vision-enabled turbo model released April 1, 2026" and lists $1.20 input and $4 output per million tokens.
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Z.ai's multimodal results image, transcribed from the docs page[1]; a dash means the maker shows no score.
| Benchmark | GLM-5V-Turbo | Kimi K2.5 | Claude Opus 4.6 |
|---|---|---|---|
| Multimodal Coding | |||
| Design2Code | 94.8 | 91.3 | 77.3 |
| Flame-VLM-Code | 93.8 | 88.8 | 98.8 |
| Vision2Web | 31.0 | 33.2 | 43.5 |
| Multimodal ToolUse | |||
| ImageMining | 30.7 | 24.4 | - |
| BrowseComp-VL | 51.9 | 42.9 | 35.9 |
| MMSearch | 72.9 | 58.7 | 63.8 |
| MMSearch-Plus | 30.0 | 25.6 | 25.6 |
| SimpleVQA | 78.2 | 71.5 | 63.2 |
| Facts | 58.6 | 57.8 | - |
| V* | 89.0 | 84.3 | 66.5 |
| GUI Agent | |||
| OSWorld | 62.3 | 63.3 | 72.2 |
| AndroidWorld | 75.7 | 43.1 | 62.0 |
| WebVoyager | 88.5 | 84.3 | 88.0 |