GLM-5V-Turbo is a native multimodal model from Z.ai that extends the GLM family with joint image, video, and text input aimed at vision-centered coding and agent workflows. The model reads screenshots, design drafts, document layouts, and interface captures and generates runnable code from them, covering tasks such as turning a visual design into a working front end, diagnosing rendering and layout defects from screen captures, and operating graphical user interfaces during long-horizon agent runs. It accepts roughly 200,000 input tokens and can emit up to 131,072 output tokens in a single response, which supports sessions that hold specifications, source files, logs, and visual references at the same time.
Training includes a joint reinforcement learning stage spanning more than 30 tasks simultaneously, an approach Z.ai describes as a way to counter the trade-off in which improving visual recognition degrades programming ability and the reverse. Reported evaluations cover pure-text coding on the backend, frontend, and repository exploration tracks of CC-Bench-V2, together with agent execution suites such as PinchBench, ClawEval, and ZClawBench, indicating that text coding behavior is retained after visual input is added.
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Usage
Past 30 DaysVision Evals is Roboflow's ground-truth benchmark: every model runs the same real-world samples across six vision tasks, and answers are scored against ground truth.
Evals updated August 26, 2026Pricing updated August 26, 2026
GLM 5V Turbo averages 65.3% across the six Vision Evals tasks, ranking #25 of 33 models overall.
Its weakest relative showing is Reasoning, ranking #28 of 33 at 31.8%.
At $0.0031 per sample it is the 15th cheapest of the 33 benchmarked models, and its average inference time of 6.3s per sample makes it the 11th fastest.
Field medians: Object Detection 54.4%, Counting 60.8%, Identification 84.4%, OCR 89.3%, Data Extraction 85.6%, Reasoning 55.6%.
| Task | Score | Field (0 to 100) | Rank | Cost / sample | Speed |
|---|---|---|---|---|---|
| Object Detection | 56.5% | #14 of 33 | $0.0052 | 8.59s | |
| Counting | 48.6% | #27 of 33 | $0.0017 | 4.35s | |
| Identification | 84.4% | #13 of 33 | $0.0015 | 4.59s | |
| OCR | 89.3% | #17 of 33 | $0.0030 | 12.50s | |
| Data Extraction | 81.4% | #26 of 33 | $0.0018 | 4.35s | |
| Reasoning (low) | 31.8% | #28 of 33 | $0.0017 | 3.77s | |
| Reasoning (high) | 49.7% | #29 of 33 | $0.0069 | 29.02s |
Overall benchmark score against estimated cost per sample. Upper-left is the sweet spot: high quality at low cost.
33 models on the current benchmark · scores and efficiency pooled across all six tasks at low effort · GLM 5V Turbo highlighted
GLM 5V Turbo scores from a single evaluation run · Methodology
View all Vision Evals →GLM 5V Turbo costs $1.20 per 1M input tokens and $4.00 per 1M output tokens.
Pricing updated Aug 26, 2026
GLM 5V Turbo is proprietary: the weights are not distributed, and the GLM 5V Turbo license is the vendor's commercial terms of service that you accept when you call the API.
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Yes. GLM 5V Turbo accepts image input and handles OCR, data extraction, object counting, identification, visual reasoning, and object detection. On Roboflow's Vision Evals its strongest task is Identification at 84.4% (#13 of 33). You can test it on your own image in the demo above.
Yes. its transcriptions match the ground truth 89.3% on average (#17 of 33) on Vision Evals OCR. Pulling specific fields out of documents (data extraction) scores 81.4%.
Not its strength. On Vision Evals, GLM 5V Turbo scores 56.5% mAP@50 on object detection (#14 of 33) and 48.7% exact-match accuracy on object counting. For production counting or precise localization, pairing it with a specialized detector like RF-DETR or your own trained model in a Roboflow Workflow is usually more reliable: detect the objects, then count the detections.
On our benchmark's task mix, GLM 5V Turbo averages $0.0031 per sample at $1.20 per 1M input and $4.00 per 1M output tokens (#15 of 33 on cost), with an average speed of 6.3s per sample across the benchmark. Actual cost depends on your images and prompts.
On the overall Vision Evals ranking, GLM 5V Turbo sits #25 of 33 at 65.3%, just behind Qwen3-VL 235B (65.8%) and just ahead of Grok 4.5 (64.3%). See the full side-by-side: GLM 5V Turbo vs Qwen3-VL 235B.