How does GLM 5 Turbo rank among AI models?
GLM 5 Turbo holds ModelCap Index position #92 of 248 ranked language models as of 22 September 2026, with an Index score of 52.6 (interval 29.4–75.8); evidence: measured · blended. The Index combines public benchmark boards with published uncertainty; the methodology page explains the weighting.
How much does GLM 5 Turbo cost per 1M tokens?
GLM 5 Turbo is listed at $1.20 per 1M input tokens and $4.00 per 1M output tokens as of 22 September 2026. Prices come from the OpenRouter catalogue and re-observe on every refresh. For 1,000 requests using 2,000 input and 500 output tokens each, the listed rates imply $4.40 total (2M input + 0.5M output). This excludes caching, batch discounts, prompt-length tiers, tool charges and retries; verify the chosen endpoint's rate and limits before budgeting.
What is the context window of GLM 5 Turbo?
GLM 5 Turbo has a published context window of 203K tokens (202,752) and a maximum output of 131K tokens. Individual providers can serve less than the published maximum; the providers table lists each endpoint's own limit.
Which API providers serve GLM 5 Turbo?
One provider serves GLM 5 Turbo through OpenRouter as of 22 September 2026: Z.AI. Each provider's price, context limit, quantization and measured uptime are in the providers table above.
Which benchmarks has GLM 5 Turbo been evaluated on?
GLM 5 Turbo has published results on 3 public boards tracked by ModelCap as of 22 September 2026: AA τ²-Bench Telecom 98.5% (#4 of 436), AA Humanity's Last Exam 27.8% (#137 of 615) and WildClawBench OpenClaw 33.9 (#28 of 34). Each board page ranks every tracked model on that benchmark; the ModelCap Index combines them with published uncertainty.
How does GLM 5 Turbo compare with Qwen3 235B A22B Thinking 2507?
GLM 5 Turbo ranks #92 (Index 52.6) and Qwen3 235B A22B Thinking 2507 ranks #91 (Index 52.9) on the ModelCap Index as of 22 September 2026. The head-to-head page lines up their benchmarks, listed prices, context windows and provider counts side by side.