Output tokens cost $2.82 per million on glm-5 and $15.00 per million on kimi-k3. Input tokens cost $0.88 per million on glm-5 and $3.00 per million on kimi-k3. Cached input tokens are billed at $0.18 per million on glm-5 and $0.30 per million on kimi-k3. Context lengths are 202,752 tokens on glm-5 and 1,048,576 tokens on kimi-k3. Time to first token (TTFT) measured on AIHubMix is 1.3s on glm-5 and 2.4s on kimi-k3. Measured output throughput is 39.4 tok/s on glm-5 and 37.0 tok/s on kimi-k3. On the LMArena coding leaderboard glm-5 scores 1498 and kimi-k3 scores 1531.
glm-5
kimi-k3GLM-5 is an advanced, open-source large language model designed for developers tackling the toughest challenges. It excels at long-context reasoning, multi-step tool orchestration, and complex systems engineering, making it the ideal choice for powering sophisticated agents and applications that require high-level cognitive tasks.
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.
glm-5: $2.82/M output tokens; kimi-k3: $15.00/M. Use the cost calculator above to estimate your own workload.
kimi-k3: 1531; glm-5: 1498 (LMArena coding leaderboard).
glm-5: 1.3s time to first token measured on AIHubMix; see the live performance charts above for how each model behaves across the day.
glm-5 accepts 202,752 and kimi-k3 accepts 1,048,576 input tokens.
glm-5 at 39.4 tok/s and kimi-k3 at 37.0 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.
glm-5 accepts text input and supports thinking, tool calling, function calling and structured outputs; 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.
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