Output tokens cost $3.94 per million on GLM 5.2 and $1.15 per million on MiniMax M2.5. Input tokens cost $1.13 per million on GLM 5.2 and $0.29 per million on MiniMax M2.5. Cached input tokens are billed at $0.28 per million on GLM 5.2 and $0.29 per million on MiniMax M2.5. Context lengths are 1,000,000 tokens on GLM 5.2 and 204,800 tokens on MiniMax M2.5. Time to first token (TTFT) measured on AIHubMix is 1.1s on GLM 5.2 and 3.7s on MiniMax M2.5. Measured output throughput is 37.9 tok/s on GLM 5.2 and 69.3 tok/s on MiniMax M2.5. On the LMArena coding leaderboard GLM 5.2 scores 1505 and MiniMax M2.5 scores 1445.
GLM 5.2
MiniMax M2.5GLM-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.
The MiniMax M2.5 is a flagship programming model built for real-world productivity. As a production-grade model natively designed for Agent scenarios, it has achieved state-of-the-art (SOTA) performance in coding, agentic tool use, search, and office work.
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.
MiniMax M2.5: $1.15/M output tokens; GLM 5.2: $3.94/M. Use the cost calculator above to estimate your own workload.
GLM 5.2: 1505; MiniMax M2.5: 1445 (LMArena coding leaderboard).
GLM 5.2: 1.1s time to first token measured on AIHubMix; see the live performance charts above for how each model behaves across the day.
GLM 5.2 accepts 1,000,000 and MiniMax M2.5 accepts 204,800 input tokens. Maximum output per request is 128,000 tokens on GLM 5.2 and 192,000 tokens on MiniMax M2.5.
MiniMax M2.5 at 69.3 tok/s and GLM 5.2 at 37.9 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.
GLM 5.2 accepts text input and supports thinking, tool calling, function calling and structured outputs; MiniMax M2.5 accepts text input and supports thinking, tool calling, 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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