Claude Sonnet 4.6 delivers frontier intelligence at scale—built for coding, agents, and enterprise workflows. Use cases include: Agents: Sonnet 4.6 excels at complex, multi-step tasks requiring sustained reasoning and adaptive decision-making—ideal for workflows where reliability and autonomy matter most. Coding: Sonnet 4.6 is built for iterative development work, handling complex codebases without losing quality as you guide it through building, refactoring, and debugging. It can compress multi-day projects into hours with the technical depth to deliver production-ready solutions. Enterprise workflows: Sonnet 4.6 powers agents that manage professional projects from start to finish, leveraging memory to maintain context across files with a step-change improvement in creating spreadsheets, slides, and docs. Financial analysis: Sonnet 4.6 connects the dots across regulatory filings, market reports, and internal data—enabling sophisticated modeling and proactive compliance. Cybersecurity: Sonnet 4.6 brings professional-grade analysis to security workflows, correlating logs, vulnerability databases, and threat intelligence for proactive threat detection and automated incident response. Computer use: Sonnet 4.6 delivers confident, consistent navigation with more human-like browsing—enabling better web QA, workflow automation, and advanced user experiences.
Claude Sonnet 4.6 vs GLM 5.2
Output tokens cost $15.00 per million on Claude Sonnet 4.6 and $3.94 per million on GLM 5.2. Input tokens cost $3.00 per million on Claude Sonnet 4.6 and $1.13 per million on GLM 5.2. Cached input tokens are billed at $3.00 per million on Claude Sonnet 4.6 and $0.28 per million on GLM 5.2. Context lengths are 1,000,000 tokens on Claude Sonnet 4.6 and 1,000,000 tokens on GLM 5.2. Time to first token (TTFT) measured on AIHubMix is 0.9s on Claude Sonnet 4.6 and 0.6s on GLM 5.2. Measured output throughput is 63.4 tok/s on Claude Sonnet 4.6 and 44.5 tok/s on GLM 5.2. On the LMArena coding leaderboard Claude Sonnet 4.6 scores 1528 and GLM 5.2 scores 1505.
GLM 5.2GLM-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: Claude Sonnet 4.6, GLM 5.2?
GLM 5.2: $3.94/M output tokens; Claude Sonnet 4.6: $15.00/M. Use the cost calculator above to estimate your own workload.
How do their coding arena scores compare?
Claude Sonnet 4.6: 1528; GLM 5.2: 1505 (LMArena coding leaderboard).
Which responds faster?
GLM 5.2: 0.6s time to first token measured on AIHubMix; see the live performance charts above for how each model behaves across the day.
How large is each context window?
Claude Sonnet 4.6 accepts 1,000,000 and GLM 5.2 accepts 1,000,000 input tokens. Maximum output per request is 64,000 tokens on Claude Sonnet 4.6 and 128,000 tokens on GLM 5.2.
Which one generates tokens faster?
Claude Sonnet 4.6 at 63.4 tok/s and GLM 5.2 at 44.5 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.
What inputs and capabilities does each model support?
Claude Sonnet 4.6 accepts text and image input and supports thinking, 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 Claude Sonnet 4.6 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.
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