Automated page. Written and translated automatically by AI and checked against the sources by software; no human editor. SI-IQ is an index built from public benchmark results, not an IQ test. How it works
How smart is GLM-4.6?
GLM-4.6 is a model from Z.ai (Zhipu AI), Tsinghua University, released on Sep 30, 2025. Its SI-IQ is 117 (90% interval 106–128), estimated from 3 benchmark results by 2 evaluators.
Data as of Oct 18, 2026 · method 1.0.0
A model is ranked when its results come from at least 5 benchmarks (the two GPQA Diamond runs count as one) in at least 3 areas, from at least 2 different evaluators, and its versions are released no more than 60 days apart. This model does not meet that yet, so it is shown with a provisional estimate but not ranked.
Facts
- Developer
- Z.ai (Zhipu AI), Tsinghua University
- Released
- Sep 30, 2025
- Access
- Open weights (restricted licence)
- Benchmarks used
- 3 benchmark results from 2 evaluators
- API price
- $0.60 input / $2.20 output per 1M tokens (developer's price list, Oct 18, 2026)
- Context window
- 200,000 tokens
Ability by area (SI-IQ, 90% interval)
Every benchmark result we used
Each score is one value exactly as the source published it: for Epoch AI the best of its run settings, for OpenRouter the median hosting provider (the developer's own hosting when it ran the test). “Implied SI-IQ” is the ability that this single result points to; the overall SI-IQ is their precision-weighted average.
| Benchmark | Score | Evaluated by | Source |
|---|---|---|---|
| GPQA Diamond (OpenRouter run) | 76.5% | OpenRouter | OpenRouter benchmark datasets · data file |
| Berkeley Function Calling Leaderboard | 72.4% | UC Berkeley (Gorilla) | Berkeley Function Calling Leaderboard · data file |
| τ²-bench Airline (OpenRouter run) | 73.4% | OpenRouter | OpenRouter benchmark datasets · data file |
Human preference (Arena)
On the Arena leaderboard, where people vote between two anonymous answers, GLM-4.6 has a rating of 1,424 (1,420–1,428) from 35,824 votes (published Oct 15, 2026). Human preference is a different measure from benchmark ability and is not part of SI-IQ. Arena (Hugging Face)
Computed with SI-IQ method version 1.0.0. Read the full methodology
Data sources: Arena leaderboard dataset on Hugging Face (CC BY 4.0); Berkeley Function Calling Leaderboard, Gorilla project (Apache-2.0); LiteLLM, model_prices_and_context_window.json (MIT); Source: OpenRouter (openrouter.ai), licensed under CC BY 4.0: reuse and republish with attribution to OpenRouter (licences and changes).