GLM 5V Turbo model profile
Evidence snapshot:
GLM 5V Turbo is a Z.ai model profile with a 202,752-token context window. The dated catalog snapshot records image, text, video modalities and interfaces for prompt caching, reasoning controls, structured output, text generation, tool calling.
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,...
GLM 5V Turbo is marked deprecated in this catalog snapshot. Read it to understand traffic you already run rather than as a route to start on.
GLM 5V Turbo is an independent knowledge profile. It does not claim that Kendr hosts the model, quote a Kendr customer price, promise API availability, or advertise a Kendr routing receipt.
GLM 5V Turbo accepts image, text, and video and returns text. The snapshot records prompt caching, reasoning controls, structured output, text generation, tool calling, video input, and vision as capabilities or interfaces.
The dated reference snapshot lists $1.2 input and $4 output per million tokens. Cached input is $0.24 per million tokens.
The 2026-09-06 snapshot includes 21 Design Arena categories. Publisher-reported launch results are labeled and are not presented as Kendr measurements; scores from different suites are not treated as interchangeable.
No comparable popularity rank or traffic share is present in the 2026-09-06 snapshot. No comparable routing rank or traffic-share observation is attached to this dated profile; missing adoption evidence is not estimated.
Profile data was reviewed for the 2026-09-06 snapshot. Claims retain their source dates, and unavailable fields are shown as unavailable instead of estimated.
Profile facts
- Profile type
- Model research profile
- Provider or publisher
- Z.ai
- Context window
- 202,752 tokens
- Snapshot date
- 2026-09-06
- Knowledge cutoff
- Not disclosed
- Reference catalog ID
- z-ai/glm-5v-turbo
When to pick GLM 5V Turbo
GLM 5V Turbo is marked deprecated in this catalog snapshot. Read it to understand traffic you already run rather than as a route to start on.
Each condition below is derived from this model's own values in the 2026-09-06 snapshot, compared only against models publishing the same field.
- Reach for it when the input includes images. The snapshot records image input, so screenshots, scans, and diagrams can be sent directly instead of described.
- Reach for it when the model has to call tools. Tool calling is recorded in the snapshot, so this route can drive an agent loop rather than only answer in prose.
- Look elsewhere when you need to call it through Kendr today. This is a research reference profile with no Kendr alias. The facts and evidence here are published for comparison; the model is not routable on Kendr.
- Look elsewhere when you are starting something new. The catalog marks this model deprecated, with no end-of-service date announced. Prefer a current route for new work; this profile stays published for teams reading traffic they already run.
- Look elsewhere when the prompt is long. The 203K-token context window is in the bottom quarter of the 163 models publishing a limit. Long documents need chunking or a wider-context route.
Context, modalities, and identity
GLM 5V Turbo accepts image, text, and video and returns text. The snapshot records prompt caching, reasoning controls, structured output, text generation, tool calling, video input, and vision as capabilities or interfaces.
- Provider or publisher
- Z.ai
- Context window
- 202,752 tokens
- Maximum output
- 131,072 tokens
- Input modalities
- image, text, and video
- Output modalities
- text
- Knowledge cutoff
- Not disclosed
Model overview
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,...
- Reference model ID
- z-ai/glm-5v-turbo
- Canonical version
- z-ai/glm-5v-turbo-20260401
- Hugging Face ID
- Not separately documented
Capabilities and supported controls
Capabilities and parameters are reported from the dated catalog and source records; their presence does not guarantee identical behavior across every provider route.
- Supported parameters
- include_reasoning, max_tokens, reasoning, response_format, temperature, tool_choice, tools, top_k, top_p
- prompt caching
- reasoning controls
- structured output
- text generation
- tool calling
- video input
- vision
Dated pricing snapshot
The dated reference snapshot lists $1.2 input and $4 output per million tokens. Cached input is $0.24 per million tokens.
These are dated third-party reference prices, not Kendr prices or an availability offer. Routes, tiers, caching, region, and provider policy can change the landed price.
- Price date
- 2026-09-06
- Input
- $1.2 per 1M tokens
- Cached input
- $0.24 per 1M tokens
- Output
- $4 per 1M tokens
Provider routes, performance, and uptime
The snapshot retains 1 provider endpoint. Provider prices, context limits, p50 performance, and uptime can differ by route and are not Kendr guarantees.
- Active provider endpoints
- 1
- Best p50 latency
- No recent metric
- Best p50 throughput
- No recent metric
- Availability with routing
- No recent metric
- Availability without routing
- No recent metric
- Performance date
- 2026-09-06
| Provider | Quantization | Input / 1M | Output / 1M | Cache read / 1M | Context | p50 latency | p50 throughput | Uptime (1d) |
|---|---|---|---|---|---|---|---|---|
| Z.AI | fp8 | $1.2 / 1M | $4 / 1M | $0.24 / 1M | 202,752 tokens | No recent p50 | No recent p50 | 100.00% |
Benchmark evidence and limitations
The 2026-09-06 snapshot includes 21 Design Arena categories. Publisher-reported launch results are labeled and are not presented as Kendr measurements; scores from different suites are not treated as interchangeable.
Third-party catalog fields normalized from the cited model dataset; benchmark methodology and coverage differ by source.
| Design Arena category | Elo | Win rate | Rank |
|---|---|---|---|
| agenticgamedev | 1101 | 42.6% | #22 |
| agentichtmlslides | 1134 | 41.7% | #7 |
| agenticslides | 1171 | 51.6% | #5 |
| agenticslides(html) | 1137 | 41.8% | #7 |
| agenticslides(python-pptx) | 1183 | 53.9% | #5 |
| androidnative | 1267 | 54.8% | #4 |
| fullstack | 1154 | 52.1% | #23 |
| godotgamedev | 996 | 26.8% | #29 |
| htmlslides | 1128 | 44.6% | #20 |
| mobileapps | 1171 | 50.4% | #28 |
| pptxslides | 1164 | 52.1% | #5 |
| python-pptxslides | 1165 | 51.9% | #16 |
| webapps | 1151 | 44.7% | #27 |
| 3d | 1247 | 53.6% | #35 |
| asciiart | 1135 | 43.1% | #48 |
| codecategories | 1246 | 50.9% | #39 |
| dataviz | 1220 | 48% | #45 |
| gamedev | 1246 | 52% | #35 |
| svg | 1186 | 50% | #36 |
| uicomponent | 1234 | 49.5% | #40 |
| website | 1244 | 49.9% | #38 |
Popularity and market context
No comparable popularity rank or traffic share is present in the 2026-09-06 snapshot. No comparable routing rank or traffic-share observation is attached to this dated profile; missing adoption evidence is not estimated.
- Third-party catalog rank
- No verified rank
- Global market share
- Not inferred
- Observation date
- 2026-09-06
Frequently asked questions
When should I use GLM 5V Turbo?
GLM 5V Turbo is marked deprecated in this catalog snapshot. Read it to understand traffic you already run rather than as a route to start on. Reach for it when the input includes images: The snapshot records image input, so screenshots, scans, and diagrams can be sent directly instead of described. Reach for it when the model has to call tools: Tool calling is recorded in the snapshot, so this route can drive an agent loop rather than only answer in prose. Look elsewhere when you need to call it through Kendr today: This is a research reference profile with no Kendr alias. The facts and evidence here are published for comparison; the model is not routable on Kendr. Look elsewhere when you are starting something new: The catalog marks this model deprecated, with no end-of-service date announced. Prefer a current route for new work; this profile stays published for teams reading traffic they already run. Look elsewhere when the prompt is long: The 203K-token context window is in the bottom quarter of the 163 models publishing a limit. Long documents need chunking or a wider-context route.
What is GLM 5V Turbo?
GLM 5V Turbo is a Z.ai model profile with a 202,752-token context window. The dated catalog snapshot records image, text, video modalities and interfaces for prompt caching, reasoning controls, structured output, text generation, tool calling.
What context window does GLM 5V Turbo have?
The dated profile lists 202,752 tokens of context and up to 131,072 output tokens. Provider routes, variants, and runtime configuration can impose lower effective limits.
What benchmark evidence is available for GLM 5V Turbo?
The 2026-09-06 snapshot includes 21 Design Arena categories. Publisher-reported launch results are labeled and are not presented as Kendr measurements; scores from different suites are not treated as interchangeable. Third-party catalog fields normalized from the cited model dataset; benchmark methodology and coverage differ by source.
Is GLM 5V Turbo available through Kendr?
This is an independent knowledge profile, not a Kendr-hosted availability claim. Check Kendr's live public model API for currently enabled Kendr aliases.
Does the popularity rank represent GLM 5V Turbo's global market share?
No comparable popularity rank or traffic share is present in the 2026-09-06 snapshot. No comparable routing rank or traffic-share observation is attached to this dated profile; missing adoption evidence is not estimated. No global market-share percentage is inferred when the source does not publish one.
Sources and evidence dates
- GLM 5V Turbo third-party catalog record (catalog, checked 2026-09-06)
- Third-party model catalog methodology (methodology, checked 2026-09-06)
- Z.ai official model documentation (primary, checked 2026-09-06)
- Design Arena leaderboard and methodology (benchmark, checked 2026-09-06)