For Claude code only
cc-kimi-k2-instruct vs glm-5.2
Output tokens cost $3.30 per million on cc-kimi-k2-instruct and $2.76 per million on glm-5.2. Input tokens cost $1.10 per million on cc-kimi-k2-instruct and $0.79 per million on glm-5.2. Cached input tokens are billed at $1.10 per million on cc-kimi-k2-instruct and $0.20 per million on glm-5.2. Discounted rates are shown where a promotion is active. On the LMArena coding leaderboard cc-kimi-k2-instruct scores 1467 and glm-5.2 scores 1507.
GLM-5.2 is Z.ai’s flagship model for the era of long-horizon tasks. With a truly usable 1M-token context window, it can handle project-level engineering context, execute long-running tasks more reliably, follow engineering standards more consistently, and complete the full development workflow from requirements to multi-platform deployment in a single task.
Pricing & Specifications
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.
Activity Past 30 Days
Daily traffic served through AIHubMix — how demand for each model is trending.
Tokens / day
Requests / day
Performance Past 3 Days
Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.
Throughput (tok/s)
TTFT (s)
Uptime (%)
LMArena Benchmarks
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.
Cost calculator
Estimate your monthly bill for the same workload on each model.
Monthly = daily × 30. Discounted rates applied where a promotion is active.
FAQ
Which is cheaper: cc-kimi-k2-instruct, glm-5.2?
glm-5.2: $2.76/M output tokens; cc-kimi-k2-instruct: $3.30/M. Use the cost calculator above to estimate your own workload.
How do their coding arena scores compare?
glm-5.2: 1507; cc-kimi-k2-instruct: 1467 (LMArena coding leaderboard).
What inputs and capabilities does each model support?
cc-kimi-k2-instruct accepts text input and supports tool calling, function calling and structured outputs; glm-5.2 accepts text input and supports thinking, tool calling, function calling and structured outputs.
Can I call cc-kimi-k2-instruct and glm-5.2 with the same API key?
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.
Popular comparisons
Related model match-ups readers also look at.
