Model Library
Z AIReleased January 19, 2026GLM-4.7-Flash
Z AI · Released January 19, 2026
Intelligence score
16
At a glance
- Intelligence
- 16
- Speed
- 133.3tokens/sec
- Latency
- 1.73stime to first token
- Input price
- $0.07per 1M tokens
- Output price
- $0.40per 1M tokens
- Context window
- 200Ktokens
- Parameters
- 31.2billions
Summary
Comparison summary
GLM-4.7-Flash (Non-reasoning) scores 16 (estimated) on the Artificial Analysis Intelligence Index, placing it well above average among other open weight non-reasoning models of similar size (median: 6). GLM-4.7-Flash (Non-reasoning) generates output at 133.3 tokens per second (based on the median across providers serving the model), which is above average compared to other open weight non-reasoning models of similar size (median: 101.8 t/s). GLM-4.7-Flash (Non-reasoning) costs $0.07 per 1M input tokens (very competitive, median: $0.15) and $0.40 per 1M output tokens (somewhat higher than average, median: $0.32), based on the median across providers serving the model.
Specifications
Technical specifications
| Model name | GLM-4.7-Flash |
|---|---|
| Provider | Z AI |
| Release date | January 19, 2026 |
| Intelligence score | 16 |
| Speed | 133.3 tokens/sec |
| Latency (TTFT) | 1.73s |
| Input price | $0.07 / 1M tokens |
| Output price | $0.40 / 1M tokens |
| Context window | 200,000 tokens |
| Parameters | 31.2B |
| Reasoning | No |
| Input modalities | text |
| Output modalities | — |
| Open weights | Yes |
| License | MIT |
| API availability | — |
| Source | Model Intelligence legacy profile: glm-4-7-flash-non-reasoning |
Pricing
Token prices
Price per 1M tokens
GLM-4.7-Flash, as listed in the catalog record
- Input$0.07
- Output$0.40
| Token type | Price per 1M |
|---|---|
| Input | $0.07 |
| Output | $0.40 |
Model Intelligence legacy profile: glm-4-7-flash-non-reasoning
FAQ · 20
Frequently asked questions
GLM-4.7-Flash (Non-reasoning) was released on January 19, 2026.
GLM-4.7-Flash (Non-reasoning) was created by Z AI.
GLM-4.7-Flash (Non-reasoning) scores 16 (estimated) on the Artificial Analysis Intelligence Index, placing it well above average among other open weight non-reasoning models of similar size (median: 6).
GLM-4.7-Flash (Non-reasoning) generates output at 133.3 tokens per second (based on the median across providers serving the model), which is above average compared to other open weight non-reasoning models of similar size (median: 101.8 t/s).
GLM-4.7-Flash (Non-reasoning) has a time to first token (TTFT) of 1.73s (based on the median across providers serving the model), which is better than average compared to other open weight non-reasoning models of similar size (median: 1.54s).
GLM-4.7-Flash (Non-reasoning) costs $0.07 per 1M input tokens (very competitive, median: $0.15) and $0.40 per 1M output tokens (somewhat higher than average, median: $0.32), based on the median across providers serving the model.
GLM-4.7-Flash (Non-reasoning) costs $0.07 per 1M input tokens and $0.40 per 1M output tokens (based on the median across providers serving the model). For a blended rate (7:2:1 cache hit/input/output ratio), this is $0.10 per 1M tokens. Pricing may vary by provider.
No, GLM-4.7-Flash (Non-reasoning) is not a reasoning model. It provides direct responses without extended chain-of-thought reasoning.
GLM-4.7-Flash (Non-reasoning) supports text input.
GLM-4.7-Flash (Non-reasoning) supports text output.
No, GLM-4.7-Flash (Non-reasoning) does not support image input. It can only process text.
No, GLM-4.7-Flash (Non-reasoning) is not multimodal. It only supports text input.
GLM-4.7-Flash (Non-reasoning) has a context window of 200k tokens. This determines how much text and conversation history the model can process in a single request.
Yes, GLM-4.7-Flash (Non-reasoning) is open weights. The model weights are publicly available and can be downloaded for self-hosting.
GLM-4.7-Flash (Non-reasoning) has 31.2 billion parameters (3 billion active).
GLM-4.7-Flash (Non-reasoning) is a Mixture of Experts (MoE) model with 31.2 billion total parameters, but only 3 billion active parameters are used during inference.
GLM-4.7-Flash (Non-reasoning) is released under the MIT license. This license allows commercial use.
GLM-4.7-Flash (Non-reasoning) achieves a score of 16 on the Artificial Analysis Intelligence Index. This composite benchmark evaluates models across reasoning, knowledge, mathematics, and coding.
Yes, GLM-4.7-Flash (Non-reasoning) is available via API through 2 providers.
GLM-4.7-Flash (Non-reasoning) is available through 2 API providers.