GLM 5V Turbo
by Z.aiz-ai/glm-5v-turbo
LLMCompare cannot run GLM 5V Turbo yet.No route to this model is configured on this site yet. Its prices and parameters are listed below for reference.
See the models that can be run nowGLM 5V Turbo at a glance
- Context length
- 202,752 tokens
- Maximum output
- 131,072 tokens
- Accepts
- Text, Image, Video
- Returns
- Text
- Features
- JSON outputTool callingPrompt cachingImage input
- Reasoning effort levels
- Not supported
- Released
- 1 Apr 2026
- Knowledge cutoff
- Not published
Model facts synced from the OpenRouter model list on 21 Oct 2026.
GLM 5V Turbo pricing by route
A route is the service LLMCompare calls to reach the model. GLM 5V Turbo has 1 route. Prices are in US dollars.
| Route | On LLMCompare | Inputper 1M tokens | Outputper 1M tokens | Cache readper 1M tokens | Price verified on | Source |
|---|---|---|---|---|---|---|
| OpenRouterDefault | Not configured | $1.20 | $4.00 | $0.24 | openrouter.ai/z-ai/glm-5v-turbo |
The cost shown in an LLMCompare report is calculated from these prices as they were at the time of the run.
Cost calculator
Estimate what a batch of calls to GLM 5V Turbo costs. The starting numbers are examples. Change them to match your task.
Part of the input tokens above, billed at the cache read price.
- Cost per call
- $0.0032
- 4 credits
- Cost of 100 calls
- $0.32
- 400 credits
Calculated from the OpenRouter prices verified on 21 Oct 2026. Credits are the cost plus a 20% service fee, at $0.001 per credit, rounded up for each call, with a minimum of 1 per call. A real run is charged for the usage the provider reports.
Parameters you can set
These are the parameters LLMCompare can set when it calls the model through OpenRouter.
| Parameter | Type | Range or options | Default |
|---|---|---|---|
temperature | Number | 0 to 2in steps of 0.1 | Provider default |
top_p | Number | 0 to 1in steps of 0.05 | Provider default |
max_tokens | Integer | 1 to 131,072 | Provider default |
response_format | One of | textjson_object | Provider default |
About GLM 5V Turbo
GLM-5V-Turbo is Z.ai’s first native multimodal agent foundation model, built for vision-based coding and agent-driven tasks. It natively handles image, video, and text inputs, excels at long-horizon planning, complex coding,...
Description as published for this model. LLMCompare has not edited it.
Models to compare with GLM 5V Turbo
Text models from the same provider and models at the nearest price. The order is not a ranking.
| Add to comparison | Model | Context | Max output | Input priceper 1M tokens | Output priceper 1M tokens | Features | Released | On LLMCompare |
|---|---|---|---|---|---|---|---|---|
GLM 5 TurboZ.aiz-ai/glm-5-turbo | 203k | 131k | $1.20 | $4.00 | JSONToolsCache | No route yet | ||
GLM 5.1Z.aiz-ai/glm-5.1 | 205k | 131k | $1.40 | $4.40 | JSONToolsCache | No route yet | ||
GLM 5Z.aiz-ai/glm-5 | 205k | 131k | $1.00 | $3.20 | JSONToolsCache | No route yet | ||
GPT-5.4 MiniOpenAIopenai/gpt-5.4-mini | 400k | 128k | $0.75 | $4.50 | ReasoningJSONToolsCacheVision | No route yet | ||
InklingThinking Machinesthinkingmachines/inkling | 524k | 472k | $1.00 | $4.05 | ReasoningToolsCacheVision | No route yet | ||
Gemini 3.8 FlashGooglegoogle/gemini-3.8-flash | 1.05M | 65.5k | $0.825 | $4.13 | ReasoningJSONToolsCacheVision | No route yet |
Questions about GLM 5V Turbo
- How much does GLM 5V Turbo cost?
- On the OpenRouter route, GLM 5V Turbo costs $1.20 per 1 million input tokens and $4.00 per 1 million output tokens, in US dollars. Input tokens that GLM 5V Turbo reads from the prompt cache cost $0.24 per 1 million tokens. LLMCompare verified this price on 21 Oct 2026.
- What is the context length of GLM 5V Turbo?
- GLM 5V Turbo has a context length of 202,752 tokens and returns up to 131,072 output tokens in one call.
- What inputs does GLM 5V Turbo accept?
- GLM 5V Turbo accepts these inputs: Text, Image, Video. GLM 5V Turbo returns: Text.
- Can I test GLM 5V Turbo on my own data?
- Not yet. LLMCompare lists the prices and parameters of GLM 5V Turbo, but no route to GLM 5V Turbo is configured on LLMCompare, so it cannot be selected for an evaluation.