GLM-5V-Turbo
glm-5v-turbo
Last refreshed 2026-05-22. Next refresh: weekly.
GLM-5V-Turbo is worth evaluating for rag, agents, and long context when its provider route and context window match the workload.
Decision context: RAG task fit, 2 tracked provider routes, and research from 2026-04-19.
Use it for
- Teams evaluating rag, agents, and long context
- Workloads that can use a 200k context window
- Buyers comparing 2 tracked provider routes
Do not use it for
- Workloads where another current model has stronger sourced task evidence
Cheapest output
$4.00
OpenRouter per 1M tokens
Provider routes
2
Tracked API hosts
Quality / dollar
Unknown
No task benchmark coverage yet
Freshness
2026-04-19
Researched 33d ago
Top use-case fit
RAG
Included by capability and metadata signals in the decision map.
Agents
Included by capability and metadata signals in the decision map.
Long context
Included by capability and metadata signals in the decision map.
Provider price ladder
Compare all 2| Provider | Input / 1M | Output / 1M | Cache | Route |
|---|---|---|---|---|
| OpenRouter | $1.20 | $4.00 | - | Serverless |
| Vercel AI Gateway | $1.20 | $4.00 | read $0.240 | Serverless |
Benchmark peer barsfor RAG
No task-mapped benchmark peers are available for this model yet.
Migration checks
No linked migration route is available for this model yet.
About
First native multimodal variant of GLM-5 with CogViT visual encoder. Specialized for design-to-code tasks—converts mockups, screenshots, Figma exports, and hand-drawn sketches into HTML, CSS, and JavaScript. Trained with reinforcement learning across 30+ task types with INT8 quantization. Achieved 94.8 on Design2Code benchmark (vs Claude Opus 4.6: 77.3). Supports image, video, and text inputs natively.
GLM-5V-Turbo has a 200K-token context window.
GLM-5V-Turbo input tokens at $1.2/1M, output at $4/1M.
