Output tokens cost $4.00 per million on GLM 5 Turbo and $15.00 per million on Kimi K3. Input tokens cost $1.20 per million on GLM 5 Turbo and $3.00 per million on Kimi K3. Cached input tokens are billed at $0.24 per million on GLM 5 Turbo and $0.30 per million on Kimi K3. Context lengths are 202,752 tokens on GLM 5 Turbo and 1,048,576 tokens on Kimi K3. Time to first token (TTFT) measured on AIHubMix is 8.9s on GLM 5 Turbo and 0.9s on Kimi K3. Measured output throughput is 21.6 tok/s on GLM 5 Turbo and 73.1 tok/s on Kimi K3. On the LMArena coding leaderboard GLM 5 Turbo scores 1496 and Kimi K3 scores 1531.
GLM 5 Turbo
Kimi K3GLM-5-Turbo is a foundational model deeply optimized for the OpenClaw scenario. From the training stage it has been specifically optimized for the core requirements of OpenClaw tasks, enhancing key capabilities such as tool invocation, instruction following, scheduled and persistent tasks, and long-chain execution.
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 Turbo: $4.00/M output tokens; Kimi K3: $15.00/M. Use the cost calculator above to estimate your own workload.
Kimi K3: 1531; GLM 5 Turbo: 1496 (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 5 Turbo accepts 202,752 and Kimi K3 accepts 1,048,576 input tokens.
Kimi K3 at 73.1 tok/s and GLM 5 Turbo at 21.6 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.
GLM 5 Turbo 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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