GLM-4.6V (Reasoning) Intelligence, Performance & Price Analysis
Model summary
Intelligence
Speed
Input Price
USD per 1M tokens
Cache: $0.30 (0%)
Output Price
Verbosity
GLM-4.6V (Reasoning) is above average in intelligence and reasonably priced when comparing to other open weight models of similar size. It's also notably slow and very verbose. The model supports text and image input, outputs text, and has a 128k tokens context window.
GLM-4.6V (Reasoning) scores 23 on the Artificial Analysis Intelligence Index, placing it above average among comparable models (averaging 16). When evaluating the Intelligence Index, it generated 90M tokens, which is very verbose in comparison to the average of 15M.
Pricing for GLM-4.6V (Reasoning) is $0.30 per 1M input tokens (moderately priced, average: $0.30) and $0.90 per 1M output tokens (somewhat expensive, average: $0.71). In total, it cost $185.47 to evaluate GLM-4.6V (Reasoning) on the Intelligence Index.
At 47 tokens per second, GLM-4.6V (Reasoning) is notably slow (84).
| Reasoning | Yes This page shows the reasoning version of this model. A non-reasoning variant may also exist. |
|---|---|
| Input modality | Supports: text, image |
| Output modality | Supports: text |
| Context window | 128k ~192 A4 pages of size 12 Arial font |
| Total parameters | 108B |
| License | MIT |
| Model weights | Hugging Face |
Metrics are compared against models of the same class:
- Non-reasoning models → compared only with other non-reasoning models
- Reasoning models → compared across both reasoning and non-reasoning
- Open weights models → compared only with other open weights models of the same size class:
- Tiny: ≤4B parameters
- Small: 4B–40B parameters
- Medium: 40B–150B parameters
- Large: >150B parameters
- Proprietary models → compared across proprietary and open weights models of the same price range, using a blended 3:1 input/output price ratio:
- <$0.15 per 1M tokens
- $0.15–$1 per 1M tokens
- >$1 per 1M tokens
Highlights
Intelligence
Artificial Analysis Intelligence Index
Artificial Analysis Intelligence Index by Open Weights / Proprietary
Intelligence Evaluations
Openness
Artificial Analysis Openness Index: Results
Intelligence Index Comparisons
Intelligence vs. Price
Intelligence Index Token Use & Cost
Output Tokens Used to Run Artificial Analysis Intelligence Index
Cost to Run Artificial Analysis Intelligence Index
Context Window
Context Window
Pricing
Pricing now includes a “Cache Hit Price” alongside Input and Output pricing, with new blend ratios.
Pricing: Cache Hit, Input, and Output
Pricing Comparison of GLM-4.6V (Reasoning) API Providers
Speed
Measured by Output Speed (tokens per second)
Output Speed
Output Speed vs. Price
Latency
Measured by Time (seconds) to First Token
Latency: Time To First Answer Token
End-to-End Response Time
Seconds to output 500 Tokens, calculated based on time to first token, 'thinking' time for reasoning models, and output speed
End-to-End Response Time
Model Size (Open Weights Models Only)
Model Size: Total and Active Parameters
Frequently Asked Questions
Common questions about GLM-4.6V (Reasoning)
GLM-4.6V (Reasoning) was released on December 8, 2025.
GLM-4.6V (Reasoning) was created by Z AI.
GLM-4.6V (Reasoning) scores 23 on the Artificial Analysis Intelligence Index, placing it above average among other open weight models of similar size (median: 16).
GLM-4.6V (Reasoning) generates output at 46.7 tokens per second (based on the median across providers serving the model), which is at the lower end compared to other open weight models of similar size (median: 84.2 t/s).
GLM-4.6V (Reasoning) has a time to first token (TTFT) of 2.96s (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: 1.78s).
GLM-4.6V (Reasoning) costs $0.30 per 1M input tokens (better than average, median: $0.35) and $0.90 per 1M output tokens (better than average, median: $0.82), 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 (3:1 input to output ratio), this is $0.45 per 1M tokens. Pricing may vary by provider. Compare provider pricing
When evaluated on the Intelligence Index, GLM-4.6V (Reasoning) generated 90M output tokens, which is at the higher end compared to other open weight models of similar size (median: 15M).
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.
GLM-4.6V (Reasoning) is released under the MIT license. This license allows commercial use. View license
GLM-4.6V (Reasoning) achieves a score of 23 on the Artificial Analysis Intelligence Index. This composite benchmark evaluates models across reasoning, knowledge, mathematics, and coding.
GLM-4.6V (Reasoning) is an open weights model that can be self-hosted. View providers
GLM-4.6V (Reasoning) is an open weights model that can be downloaded and self-hosted. Compare providers