Compare GLM 4.7 Flash (free) from Z.AI and Kimi K3 from Moonshot AI on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the AIHubMix API.
GLM 4.7 Flash (free)
Kimi K3The glm-4.7-flash free model has usage restrictions to ensure stable service operation: a maximum of 5 requests per minute, no more than 500 requests per day, and a daily usage quota of 1 million tokens.
Kimi K3 is Kimi’s flagship model for long-horizon coding and end-to-end knowledge work, with a 1M-token context window and industry-leading intelligence.
Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.
Promotional prices show the discounted rate; see each model page for promotion windows.
Daily traffic served through AIHubMix — how demand for each model is trending.
Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.
LMArena ratings by capability (Bradley-Terry, commonly called Elo). Higher is better.
Source: LMArena (arena.ai) leaderboard, imported by AIHubMix. Models without published ratings are omitted per chart.
Estimate your monthly bill for the same workload on each model.
Monthly = daily × 30. Discounted rates applied where a promotion is active.
Kimi K3: 1531; GLM 4.7 Flash (free): 1423 (LMArena coding leaderboard).
Kimi K3: 0.9s time to first token measured on AIHubMix; see the live performance charts above for how each model behaves across the day.
GLM 4.7 Flash (free) accepts 200,000 and Kimi K3 accepts 1,048,576 input tokens. Maximum output per request is 131,072 tokens on GLM 4.7 Flash (free) and 1,048,576 tokens on Kimi K3.
Kimi K3 at 73.1 tok/s and GLM 4.7 Flash (free) at 29.4 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.
GLM 4.7 Flash (free) accepts text input and supports thinking, tool calling, structured outputs and function calling; Kimi K3 accepts text, image and video input and supports thinking, function calling and structured outputs.
Yes. AIHubMix serves every model on this page behind one OpenAI-compatible endpoint, so switching between them is a one-line change to the model field — no second account, key or SDK.
Related model match-ups readers also look at.