Z AI has launched a newer model, GLM-4.7, we suggest considering this model instead.
For more information, see Comparison of GLM-4.7 to other models and API provider benchmarks for GLM-4.7.
GLM-4.6 (Reasoning) Intelligence, Performance & Price Analysis
Model summary
Intelligence
Artificial Analysis Intelligence Index
Speed
Output tokens per second
Input Price
USD per 1M tokens
Output Price
USD per 1M tokens
Verbosity
Output tokens from Intelligence Index
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
| Reasoning | Yes This page shows the reasoning version of this model. A non-reasoning variant may also exist. |
|---|---|
| Input modality | Supports: text |
| Output modality | Supports: text |
| Context window | 200k ~300 A4 pages of size 12 Arial font |
| Total parameters | 357B |
| Active parameters | 32B Number of parameters active per token during inference |
| License | MIT |
| Model weights | Hugging Face |
GLM-4.6 (Reasoning) is above average in intelligence, but somewhat expensive when comparing to other open weight models of similar size. It's also notably fast, however somewhat verbose. The model supports text input, outputs text, and has a 200k tokens context window.
GLM-4.6 (Reasoning) scores 33 on the Artificial Analysis Intelligence Index, placing it above average among comparable models (averaging 27). When evaluating the Intelligence Index, it generated 57M tokens, which is somewhat verbose in comparison to the average of 17M.
Pricing for GLM-4.6 (Reasoning) is $0.57 per 1M input tokens (somewhat expensive, average: $0.55) and $2.20 per 1M output tokens (somewhat expensive, average: $1.70). In total, it cost $194.53 to evaluate GLM-4.6 (Reasoning) on the Intelligence Index.
At 102 tokens per second, GLM-4.6 (Reasoning) is notably fast (51).
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: Input and Output Prices
Intelligence vs. Price (Log Scale)
Pricing Comparison of GLM-4.6 (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
Comparisons to GLM-4.6
- GLM-4.6
gpt-oss-20B (high)- gpt-oss-120B (high)
- GPT-5.2 (xhigh)
- GPT-5.4 (xhigh)
- GPT-5.4 Pro (xhigh)
- GPT-5.3 Codex (xhigh)
Llama 4 Maverick
Gemini 3.1 Flash-Lite Preview- Gemini 3.1 Pro Preview
- Gemini 3 Flash
Claude 4.5 Haiku- Claude Sonnet 4.6 (max)
- Claude Opus 4.6 (max)
Mistral Large 3
DeepSeek V3.2
Grok 4.20 Beta 0309- Grok 4.1 Fast
Nova 2.0 Pro Preview (medium)
MiniMax-M2.5
NVIDIA Nemotron 3 Super- NVIDIA Nemotron 3 Nano
Kimi K2.5
K-EXAONE
MiMo-V2-Flash (Feb 2026)
K2 Think V2
Mi:dm K 2.5 Pro- GLM-5
Qwen3.5 397B A17B
Frequently Asked Questions
Common questions about GLM-4.6 (Reasoning)
GLM-4.6 (Reasoning) was released on September 30, 2025.
GLM-4.6 (Reasoning) was created by Z AI.
GLM-4.6 (Reasoning) scores 33 on the Artificial Analysis Intelligence Index, placing it above average among other open weight models of similar size (median: 27).
GLM-4.6 (Reasoning) generates output at 101.6 tokens per second (based on the median across providers serving the model), which is well above average compared to other open weight models of similar size (median: 51.2 t/s).
GLM-4.6 (Reasoning) has a time to first token (TTFT) of 1.34s (based on the median across providers serving the model), which is very competitive compared to other open weight models of similar size (median: 2.29s).
GLM-4.6 (Reasoning) costs $0.57 per 1M input tokens (better than average, median: $0.60) and $2.20 per 1M output tokens (better than average, median: $2.20), based on the median across providers serving the model.
GLM-4.6 (Reasoning) costs $0.57 per 1M input tokens and $2.20 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 $0.98 per 1M tokens. Pricing may vary by provider. Compare provider pricing
When evaluated on the Intelligence Index, GLM-4.6 (Reasoning) generated 57M output tokens, which is somewhat higher than average compared to other open weight models of similar size (median: 17M).
Yes, GLM-4.6 (Reasoning) is a reasoning model. It uses extended thinking or chain-of-thought reasoning to work through complex problems before providing an answer.
GLM-4.6 (Reasoning) supports text input.
GLM-4.6 (Reasoning) supports text output.
No, GLM-4.6 (Reasoning) does not support image input. It can only process text.
No, GLM-4.6 (Reasoning) is not multimodal. It only supports text input.
GLM-4.6 (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-4.6 (Reasoning) is open weights. The model weights are publicly available and can be downloaded for self-hosting.
GLM-4.6 (Reasoning) has 357 billion parameters (32 billion active).
GLM-4.6 (Reasoning) is a Mixture of Experts (MoE) model with 357 billion total parameters, but only 32 billion active parameters are used during inference.
GLM-4.6 (Reasoning) is released under the MIT license. This license allows commercial use. View license
GLM-4.6 (Reasoning) achieves a score of 33 on the Artificial Analysis Intelligence Index. This composite benchmark evaluates models across reasoning, knowledge, mathematics, and coding.
Yes, GLM-4.6 (Reasoning) is available via API through 4 providers. Compare API providers
GLM-4.6 (Reasoning) is available through 4 API providers. Compare providers