GLM 5 API model profile
Evidence snapshot:
GLM 5 is a Z.ai model profile with a 204,800-token context window. The dated catalog snapshot records text modalities and interfaces for agentic, coding, prompt caching, reasoning, reasoning controls.
GLM-5 is Z.ai’s flagship open-source foundation model engineered for complex systems design and long-horizon agent workflows. Built for expert developers, it delivers production-grade performance on large-scale programming tasks, rivaling leading...
GLM 5 is mid-catalog on every dimension this snapshot measures. Pick it when it is already in your stack or when the specifics below match the job, not because a number here stands out.
GLM 5 is available under the Kendr alias kc-glm-5. Current account availability and customer credit quotes come from Kendr's live public model API and applicable account policy.
GLM 5 accepts text and returns text. The snapshot records agentic, coding, prompt caching, reasoning, reasoning controls, structured output, text generation, tool calling, tools, and web search as capabilities or interfaces.
The dated reference snapshot lists $0.6 input and $1.92 output per million tokens. Cached input is $0.12 per million tokens. The separately published provider-route reference is $1 / $3.20.
The 2026-09-06 snapshot includes 13 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
- Kendr API model
- Kendr API alias
- kc-glm-5
- Model developer
- Z.ai
- Kendr route provider
- Z.AI
- Context window
- 200K
- Snapshot date
- 2026-09-06
- Knowledge cutoff
- Not disclosed
- Reference catalog ID
- z-ai/glm-5
When to pick GLM 5
GLM 5 is mid-catalog on every dimension this snapshot measures. Pick it when it is already in your stack or when the specifics below match the job, not because a number here stands out.
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 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.
Context, modalities, and identity
GLM 5 accepts text and returns text. The snapshot records agentic, coding, prompt caching, reasoning, reasoning controls, structured output, text generation, tool calling, tools, and web search as capabilities or interfaces.
- Model developer
- Z.ai
- Kendr route provider
- Z.AI
- Context window
- 200K
- Maximum output
- 128,000 tokens
- Input modalities
- text
- Output modalities
- text
- Knowledge cutoff
- Not disclosed
Model overview
GLM-5 is Z.ai’s flagship open-source foundation model engineered for complex systems design and long-horizon agent workflows. Built for expert developers, it delivers production-grade performance on large-scale programming tasks, rivaling leading...
- Reference model ID
- z-ai/glm-5
- Canonical version
- z-ai/glm-5-20260211
- Hugging Face ID
- zai-org/GLM-5
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
- frequency_penalty, include_reasoning, logit_bias, logprobs, max_tokens, min_p, presence_penalty, reasoning, repetition_penalty, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_k, top_logprobs, top_p
- agentic
- coding
- prompt caching
- reasoning
- reasoning controls
- structured output
- text generation
- tool calling
- tools
- web search
Dated pricing snapshot
The dated reference snapshot lists $0.6 input and $1.92 output per million tokens. Cached input is $0.12 per million tokens. The separately published provider-route reference is $1 / $3.20.
Reference figures are dated 2026-09-06; the live Kendr quote can differ by selected provider route, context tier, caching, tools, region, and current rate card.
- Price date
- 2026-09-06
- Input
- $0.6 per 1M tokens
- Cached input
- $0.12 per 1M tokens
- Output
- $1.92 per 1M tokens
Provider routes, performance, and uptime
The snapshot retains 10 provider endpoints. Provider prices, context limits, p50 performance, and uptime can differ by route and are not Kendr guarantees.
- Active provider endpoints
- 10
- 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) |
|---|---|---|---|---|---|---|---|---|
| StreamLake | fp8 | $0.6 / 1M | $1.92 / 1M | $0.12 / 1M | 198,000 tokens | No recent p50 | No recent p50 | 99.83% |
| GMICloud | fp8 | $0.6 / 1M | $1.92 / 1M | $0.12 / 1M | 202,752 tokens | No recent p50 | No recent p50 | 99.58% |
| DeepInfra | fp4 | $0.6 / 1M | $2.08 / 1M | $0.12 / 1M | 202,752 tokens | No recent p50 | No recent p50 | 99.92% |
| Baidu | fp8 | $0.7 / 1M | $2.24 / 1M | $0.14 / 1M | 202,752 tokens | No recent p50 | No recent p50 | 100.00% |
| SiliconFlow | fp8 | $0.95 / 1M | $2.55 / 1M | $0.2 / 1M | 204,800 tokens | No recent p50 | No recent p50 | 99.08% |
| DigitalOcean | unknown | $1 / 1M | $3.2 / 1M | $0.2 / 1M | 64,000 tokens | No recent p50 | No recent p50 | 94.68% |
| Amazon Bedrock | unknown | $1 / 1M | $3.2 / 1M | No verified rate | 202,752 tokens | No recent p50 | No recent p50 | 99.87% |
| Venice | fp8 | $1 / 1M | $3.2 / 1M | $0.2 / 1M | 198,000 tokens | No recent p50 | No recent p50 | 99.32% |
| Novita | fp8 | $1 / 1M | $3.2 / 1M | $0.2 / 1M | 202,800 tokens | No recent p50 | No recent p50 | 100.00% |
| Z.AI | fp8 | $1 / 1M | $3.2 / 1M | $0.2 / 1M | 202,752 tokens | No recent p50 | No recent p50 | 99.99% |
Benchmark evidence and limitations
The 2026-09-06 snapshot includes 13 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 |
|---|---|---|---|
| androidnative | 1165 | 55.2% | #24 |
| fullstack | 1127 | 51.7% | #24 |
| godotgamedev | 1144 | 46.7% | #15 |
| htmlslides | 1155 | 45.1% | #16 |
| mobileapps | 1172 | 51.6% | #27 |
| 3d | 1266 | 56.3% | #29 |
| asciiart | 1171 | 47.9% | #34 |
| codecategories | 1263 | 55.5% | #30 |
| dataviz | 1248 | 53% | #33 |
| gamedev | 1264 | 57.4% | #29 |
| svg | 1204 | 54.4% | #31 |
| uicomponent | 1253 | 53.6% | #36 |
| website | 1261 | 55% | #32 |
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
OpenAI-compatible API example
This example applies to the published Kendr alias on this hosted profile. Check the live public catalog before use.
curl https://api.kendr.org/v1/chat/completions \
-H "Authorization: Bearer $KENDR_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"kc-glm-5","messages":[{"role":"user","content":"Hello"}]}'Frequently asked questions
When should I use GLM 5?
GLM 5 is mid-catalog on every dimension this snapshot measures. Pick it when it is already in your stack or when the specifics below match the job, not because a number here stands out. 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.
What is GLM 5?
GLM 5 is a Z.ai model profile with a 204,800-token context window. The dated catalog snapshot records text modalities and interfaces for agentic, coding, prompt caching, reasoning, reasoning controls.
What context window does GLM 5 have?
The dated profile lists 200K of context and up to 128,000 output tokens. Provider routes, variants, and runtime configuration can impose lower effective limits.
What benchmark evidence is available for GLM 5?
The 2026-09-06 snapshot includes 13 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.
What is the Kendr API alias for GLM 5?
Use kc-glm-5 as the model value. The live public model API and signed-in catalog remain authoritative for route availability and customer credit quotes.
How is GLM 5 priced on Kendr?
The dated reference snapshot lists $0.6 input and $1.92 output per million tokens. Cached input is $0.12 per million tokens. The separately published provider-route reference is $1 / $3.20. Kendr applies one 5% markup to configured provider model cost; the live quote and settled routing receipt are authoritative for a request.
Sources and evidence dates
- GLM 5 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)
- GLM 5 provider or route reference (primary, checked 2026-09-06)