Claude Opus 4.5 vs Kimi K3
anthropic/claude-opus-4.5 · moonshotai/kimi-k3
As of November 2, 2026, Kimi K3 is the cheaper API on UberLLM: $0.0017 per million input tokens and $0.0781 per million output, versus $0.0985 / $0.4925 for Claude Opus 4.5, about 85% less when output is 3 tokens for every input token. These are the best prices on the market right now. Both work with one OpenAI-compatible key and UberLLM adds no fee. Choose Kimi K3 to cut cost; choose Claude Opus 4.5 when its capabilities fit your task better.
Claude Opus 4.5 vs Kimi K3, side by side
| Spec | Claude Opus 4.5 | Kimi K3 |
|---|---|---|
| Price · input / 1M | $0.0985 | $0.0017 |
| Price · output / 1M | $0.4925 | $0.0781 |
| Context length | 198,000 | 1,000,000 |
| Max output tokens | 32,768 | 131,072 |
| Input modalities | text, image | text, image |
| Output modalities | text | text |
| Tools / functions | Yes | Yes |
| Vision (image input) | Yes | Yes |
| Reasoning | Yes | Yes |
| % off list | 98% off | 99.3% off |
| First token, median (7 days) | — | 3.3 s (1,158 requests) |
Best prices on UberLLM right now. No UberLLM fee on requests; adding credit by card costs 5.5% + $0.50. Updated November 2, 2026. A price more than 70% below list is what buyers were billed, not an error. Why so cheap?
Claude Opus 4.5 vs Kimi K3 — FAQ
Is Claude Opus 4.5 or Kimi K3 cheaper?
Kimi K3 is cheaper on a blended token mix, by about 85%. A request costs what its provider charged, UberLLM adds no fee, and every request is listed with its cost in Activity.
What's the price difference between Claude Opus 4.5 and Kimi K3?
Claude Opus 4.5: $0.0985 in / $0.4925 out per 1M tokens. Kimi K3: $0.0017 in / $0.0781 out per 1M tokens. That's roughly a 85% blended difference. Prices are live; UberLLM adds no fee.
Can I use both Claude Opus 4.5 and Kimi K3 with one API?
Yes. Both are served through a single OpenAI-compatible endpoint — set the base URL to https://api.uberllm.dev/v1 and your UberLLM key, then switch between them by changing the model id. Anthropic SDKs work via https://api.uberllm.dev/v1/messages.