Zhipu AI·released 2026-01-191 source
Not yet benchmarked
Consensus: LiteLLM · Cross-check: models.dev, OpenRouter · See every model’s pricing →
Claims drawn from cited facts, not live model generation.
This model comes from developer Zhipu AI and was released in 2026. At 31.22 billion parameters it sits at a mid-size scale — enough to buy noticeably more capacity headroom than compact models, while keeping training and serving costs well below what frontier-scale systems demand.
3 cited facts
This model is not yet benchmarked, as it is scored on zero tracked benchmarks. Consequently, it holds no current top score.
2 cited facts
The average gap to the state of the art is unknown, so no points-behind-the-leader figure or frontier/competitive/behind band can be stated here. It holds the top score on zero benchmarks, which means there is no demonstrated category leadership yet.
2 cited facts
7 facts cross-checked across data sources: 1 corroborated, 3 single-source, 3 disputed.
Source facts, citations, and refresh stamp for this record.
Sources: huggingface_models, litellm_prices, modelsdev_models, openrouter_models
GLM-4.7-Flash is an AI model developed by Zhipu AI, released 2026-01-19. Its benchmark record below tags every score as independently reproduced, self-reported, or unverified.
Listed API pricing: $0 per million input tokens, $0 per million output tokens (prices disputed across sources). See the pricing block for the full breakdown.