Kimi K3 Fast vs Qwen3 30B A3B
moonshotai/kimi-k3-fast-api · qwen/qwen3-30b-a3b
As of November 5, 2026, Qwen3 30B A3B is the cheaper API on UberLLM: $0.0840 per million input tokens and $0.3500 per million output, versus $3.55 / $17.77 for Kimi K3 Fast, about 98% 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 Qwen3 30B A3B to cut cost; choose Kimi K3 Fast when context size wins. Kimi K3 Fast carries the larger context window (1,000,000 vs 256,000 tokens), which can matter for long-document work.
Kimi K3 Fast vs Qwen3 30B A3B, side by side
| Spec | Kimi K3 Fast | Qwen3 30B A3B |
|---|---|---|
| Price · input / 1M | $3.55 | $0.0840 |
| Price · output / 1M | $17.77 | $0.3500 |
| Context length | 1,000,000 | 256,000 |
| Max output tokens | 131,072 | 32,768 |
| Input modalities | text, image | text |
| Output modalities | text | text |
| Tools / functions | Yes | Yes |
| Vision (image input) | Yes | — |
| Reasoning | Yes | Yes |
| % off list | 21% off | 30% off |
Best prices on UberLLM right now. No UberLLM fee on requests; adding credit by card costs 5.5% + $0.50. Updated November 5, 2026.
Kimi K3 Fast vs Qwen3 30B A3B — FAQ
Is Kimi K3 Fast or Qwen3 30B A3B cheaper?
Qwen3 30B A3B is cheaper on a blended token mix, by about 98%. 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 Kimi K3 Fast and Qwen3 30B A3B?
Kimi K3 Fast: $3.55 in / $17.77 out per 1M tokens. Qwen3 30B A3B: $0.0840 in / $0.3500 out per 1M tokens. That's roughly a 98% blended difference. Prices are live; UberLLM adds no fee.
Can I use both Kimi K3 Fast and Qwen3 30B A3B 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.