GLM 4.7 model profile
Evidence snapshot:
GLM 4.7 is a Z.ai model profile with a 204,800-token context window. The dated catalog snapshot records text modalities and interfaces for prompt caching, reasoning controls, structured output, text generation, tool calling.
GLM-4.7 is Z.ai’s latest flagship model, featuring upgrades in two key areas: enhanced programming capabilities and more stable multi-step reasoning/execution. It demonstrates significant improvements in executing complex agent tasks while delivering more natural conversational experiences and superior front-end aesthetics.
GLM 4.7 is a reference profile: Z.ai publishes it, Kendr documents it for comparison, and it carries no Kendr alias to call.
GLM 4.7 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 4.7 accepts text and returns text. The snapshot records prompt caching, reasoning controls, structured output, text generation, and tool calling as capabilities or interfaces.
The dated reference snapshot lists $0.4 input and $1.75 output per million tokens. Cached input is $0.08 per million tokens.
The 2026-09-06 snapshot includes 1 Artificial Analysis index, 12 Design Arena categories, and AutoExacto results for 10 provider observations. Publisher-reported launch results are labeled and are not presented as Kendr measurements; scores from different suites are not treated as interchangeable.
GLM 4.7 ranked #99 in the cited trailing-7-day third-party catalog usage dataset as of 2026-09-06. Observed within the cited trailing-7-day third-party catalog usage dataset; this is not global AI market share.
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
- 204,800 tokens
- Snapshot date
- 2026-09-06
- Knowledge cutoff
- Not disclosed
- Reference catalog ID
- z-ai/glm-4.7
When to pick GLM 4.7
GLM 4.7 is a reference profile: Z.ai publishes it, Kendr documents it for comparison, and it carries no Kendr alias to call.
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.
- 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.
Context, modalities, and identity
GLM 4.7 accepts text and returns text. The snapshot records prompt caching, reasoning controls, structured output, text generation, and tool calling as capabilities or interfaces.
- Provider or publisher
- Z.ai
- Context window
- 204,800 tokens
- Maximum output
- 131,072 tokens
- Input modalities
- text
- Output modalities
- text
- Knowledge cutoff
- Not disclosed
Model overview
GLM-4.7 is Z.ai’s latest flagship model, featuring upgrades in two key areas: enhanced programming capabilities and more stable multi-step reasoning/execution. It demonstrates significant improvements in executing complex agent tasks while delivering more natural conversational experiences and superior front-end aesthetics.
- Reference model ID
- z-ai/glm-4.7
- Canonical version
- z-ai/glm-4.7-20251222
- Hugging Face ID
- zai-org/GLM-4.7
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, max_tokens, min_p, presence_penalty, reasoning, repetition_penalty, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_a, top_k, top_p
- prompt caching
- reasoning controls
- structured output
- text generation
- tool calling
Dated pricing snapshot
The dated reference snapshot lists $0.4 input and $1.75 output per million tokens. Cached input is $0.08 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
- $0.4 per 1M tokens
- Cached input
- $0.08 per 1M tokens
- Output
- $1.75 per 1M tokens
Provider routes, performance, and uptime
The snapshot retains 7 provider endpoints. Provider prices, context limits, p50 performance, and uptime can differ by route and are not Kendr guarantees.
- Active provider endpoints
- 2
- Best p50 latency
- 0.53 s
- Best p50 throughput
- 83 tok/s
- Availability with routing
- 99.73% over the sampled window
- Availability without routing
- 90.53% over the sampled window
- Performance date
- 2026-09-06
| Provider | Quantization | Input / 1M | Output / 1M | Cache read / 1M | Context | p50 latency | p50 throughput | Uptime (1d) |
|---|---|---|---|---|---|---|---|---|
| NovitaAI | fp8 | $0.54 / 1M | $1.98 / 1M | $0.099 / 1M | 204,800 tokens | 1.64 s | 35 tok/s | 97.37% |
| Google Vertex | unknown | $0.6 / 1M | $2.2 / 1M | No verified rate | 200,000 tokens | 0.53 s | 83 tok/s | 99.95% |
| DeepInfra | fp4 | $0.4 / 1M | $1.75 / 1M | $0.08 / 1M | 202,752 tokens | 1.92 s | 12 tok/s | 97.77% |
| AtlasCloud | fp8 | $0.52 / 1M | $1.85 / 1M | $0.12 / 1M | 202,752 tokens | 0.78 s | 51.5 tok/s | 83.87% |
| Venice | fp4 | $0.55 / 1M | $2.65 / 1M | $0.11 / 1M | 198,000 tokens | 1.50 s | 12 tok/s | 94.65% |
| Z.ai | fp4 | $0.6 / 1M | $2.2 / 1M | $0.11 / 1M | 202,752 tokens | 9.24 s | 29 tok/s | 90.55% |
| Mancer | fp4 | $0.7 / 1M | $2.5 / 1M | No verified rate | 131,072 tokens | 2.88 s | 11 tok/s | 87.69% |
Benchmark evidence and limitations
The 2026-09-06 snapshot includes 1 Artificial Analysis index, 12 Design Arena categories, and AutoExacto results for 10 provider observations. 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.
- Coding Index
- 45.3
- AutoExacto coverage
- 10 provider observations over 32 days
| Design Arena category | Elo | Win rate | Rank |
|---|---|---|---|
| androidnative | 1134 | 56.2% | #27 |
| fullstack | 1054 | 45.1% | #33 |
| godotgamedev | 1058 | 35.8% | #27 |
| mobileapps | 1141 | 48.9% | #29 |
| 3d | 1228 | 54.3% | #41 |
| asciiart | 1189 | 48.1% | #26 |
| codecategories | 1233 | 54.8% | #41 |
| dataviz | 1215 | 51.2% | #47 |
| gamedev | 1218 | 55.2% | #44 |
| svg | 1178 | 54.3% | #40 |
| uicomponent | 1221 | 51% | #43 |
| website | 1239 | 55.3% | #40 |
AutoExacto provider benchmarks
Rolling provider observations from the cited third-party benchmark view. The lookback is 32 days; GPQA Diamond and TAU-Bench Airline measure different abilities and should not be blended into one score.
| Provider | GPQA Diamond | TAU-Bench Airline | Runs |
|---|---|---|---|
| AtlasCloud | 53.87% | 48.49% | 4 |
| auto-routing | 80.03% | 69.91% | 4 |
| Cerebras | 47.85% | 77.47% | 2 |
| DeepInfra | 78.39% | 75.39% | 3 |
| Google Vertex | 81.97% | 73.32% | 4 |
| Mancer | 69.77% | 49.33% | 3 |
| NovitaAI | 83.93% | 71.01% | 4 |
| StreamLake | 81.9% | 70.71% | 4 |
| Venice | 61.54% | 74.25% | 4 |
| Z.ai | 82.43% | 66.33% | 4 |
Popularity and market context
GLM 4.7 ranked #99 in the cited trailing-7-day third-party catalog usage dataset as of 2026-09-06. Observed within the cited trailing-7-day third-party catalog usage dataset; this is not global AI market share.
- Third-party catalog rank
- #99
- Global market share
- Not inferred
- Observation date
- 2026-09-06
Frequently asked questions
When should I use GLM 4.7?
GLM 4.7 is a reference profile: Z.ai publishes it, Kendr documents it for comparison, and it carries no Kendr alias to call. 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.
What is GLM 4.7?
GLM 4.7 is a Z.ai model profile with a 204,800-token context window. The dated catalog snapshot records text modalities and interfaces for prompt caching, reasoning controls, structured output, text generation, tool calling.
What context window does GLM 4.7 have?
The dated profile lists 204,800 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 4.7?
The 2026-09-06 snapshot includes 1 Artificial Analysis index, 12 Design Arena categories, and AutoExacto results for 10 provider observations. 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 4.7 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 4.7's global market share?
GLM 4.7 ranked #99 in the cited trailing-7-day third-party catalog usage dataset as of 2026-09-06. Observed within the cited trailing-7-day third-party catalog usage dataset; this is not global AI market share. No global market-share percentage is inferred when the source does not publish one.
Sources and evidence dates
- GLM 4.7 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)
- Artificial Analysis capability indices methodology (benchmark, checked 2026-09-06)
- Design Arena leaderboard and methodology (benchmark, checked 2026-09-06)
- GLM 4.7 third-party catalog record (benchmark, checked 2026-09-06)