Model Library
Z AIReleased December 8, 2025GLM-4.6V
Z AI · Released December 8, 2025
Intelligence score
17
At a glance
- Intelligence
- 17
- Speed
- 75.8tokens/sec
- Latency
- 4.21stime to first token
- Input price
- $0.30per 1M tokens
- Output price
- $0.90per 1M tokens
- Context window
- 130Ktokens
- Parameters
- 108billions
Summary
Comparison summary
GLM-4.6V (Reasoning) scores 17 (estimated) on the Artificial Analysis Intelligence Index, placing it well above average among other open weight models of similar size (median: 9). GLM-4.6V (Reasoning) generates output at 75.8 tokens per second (based on the median across providers serving the model), which is below average compared to other open weight models of similar size (median: 88.2 t/s). GLM-4.6V (Reasoning) costs $0.30 per 1M input tokens (better than average, median: $0.40) and $0.90 per 1M output tokens (better than average, median: $0.84), based on the median across providers serving the model.
Specifications
Technical specifications
| Model name | GLM-4.6V |
|---|---|
| Provider | Z AI |
| Release date | December 8, 2025 |
| Intelligence score | 17 |
| Speed | 75.8 tokens/sec |
| Latency (TTFT) | 4.21s |
| Input price | $0.30 / 1M tokens |
| Output price | $0.90 / 1M tokens |
| Context window | 130,000 tokens |
| Parameters | 108B |
| Reasoning | Yes |
| Input modalities | text, image |
| Output modalities | — |
| Open weights | Yes |
| License | MIT |
| API availability | — |
| Source | Model Intelligence legacy profile: glm-4-6v-reasoning |
Pricing
Token prices
Price per 1M tokens
GLM-4.6V, as listed in the catalog record
- Input$0.30
- Output$0.90
| Token type | Price per 1M |
|---|---|
| Input | $0.30 |
| Output | $0.90 |
Model Intelligence legacy profile: glm-4-6v-reasoning
FAQ · 20
Frequently asked questions
GLM-4.6V (Reasoning) was released on December 8, 2025.
GLM-4.6V (Reasoning) was created by Z AI.
GLM-4.6V (Reasoning) scores 17 (estimated) on the Artificial Analysis Intelligence Index, placing it well above average among other open weight models of similar size (median: 9).
GLM-4.6V (Reasoning) generates output at 75.8 tokens per second (based on the median across providers serving the model), which is below average compared to other open weight models of similar size (median: 88.2 t/s).
GLM-4.6V (Reasoning) has a time to first token (TTFT) of 4.21s (based on the median across providers serving the model), which is at the higher end compared to other open weight models of similar size (median: 1.52s).
GLM-4.6V (Reasoning) costs $0.30 per 1M input tokens (better than average, median: $0.40) and $0.90 per 1M output tokens (better than average, median: $0.84), based on the median across providers serving the model.
GLM-4.6V (Reasoning) costs $0.30 per 1M input tokens and $0.90 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 $0.36 per 1M tokens. Pricing may vary by provider.
Yes, GLM-4.6V (Reasoning) is a reasoning model. It uses extended thinking or chain-of-thought reasoning to work through complex problems before providing an answer.
GLM-4.6V (Reasoning) supports text and image input.
GLM-4.6V (Reasoning) supports text output.
Yes, GLM-4.6V (Reasoning) supports image input and can analyze, describe, and answer questions about images.
Yes, GLM-4.6V (Reasoning) is multimodal. It can process text and image input and generate text output.
GLM-4.6V (Reasoning) has a context window of 130k tokens. This determines how much text and conversation history the model can process in a single request.
Yes, GLM-4.6V (Reasoning) is open weights. The model weights are publicly available and can be downloaded for self-hosting.
GLM-4.6V (Reasoning) has 108 billion parameters (12 billion active).
GLM-4.6V (Reasoning) is a Mixture of Experts (MoE) model with 108 billion total parameters, but only 12 billion active parameters are used during inference.
GLM-4.6V (Reasoning) is released under the MIT license. This license allows commercial use.
GLM-4.6V (Reasoning) achieves a score of 17 on the Artificial Analysis Intelligence Index. This composite benchmark evaluates models across reasoning, knowledge, mathematics, and coding.
Yes, GLM-4.6V (Reasoning) is available via API through 2 providers.
GLM-4.6V (Reasoning) is available through 2 API providers.