Claude Opus 4.5 is Anthropic’s latest frontier reasoning model, optimized for complex engineering, agentic workflows, and long-horizon computer use. It features strong multimodal capabilities, improved resistance to prompt injection, and a new Verbosity parameter to control token efficiency. With advanced tool use, extended context, and multi-agent support, Opus 4.5 excels in autonomous research, debugging, planning, and spreadsheet/browser operations.
Claude Opus 4.8 vs moonshotai/kimi-k2-instruct
Compare Claude Opus 4.8 from Anthropic and moonshotai/kimi-k2-instruct from Moonshot AI on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the AIHubMix API.
Kimi K2 is Moonshot AI's state-of-the-art Mixture-of-Experts (MoE) language model with 1 trillion total parameters and 32 billion activated parameters. Designed for agentic intelligence, it excels at tool use, coding, and autonomous problem-solving across diverse domains.
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.
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Performance Past 3 Days
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Cost calculator
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FAQ
Which is cheaper: Claude Opus 4.8, moonshotai/kimi-k2-instruct?
moonshotai/kimi-k2-instruct: $2.48/M output tokens; Claude Opus 4.8: $25/M. Use the cost calculator above to estimate your own workload.
What inputs and capabilities does each model support?
Claude Opus 4.8 accepts text, image and PDF input and supports thinking, tool calling, function calling and structured outputs; moonshotai/kimi-k2-instruct accepts text input and supports tool calling, function calling and structured outputs.
Can I call Claude Opus 4.8 and moonshotai/kimi-k2-instruct 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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