Kimi K2 Thinking vs GPT-6 Astra
moonshotai/kimi-k2-thinking · openai/gpt-6-astra
As of October 27, 2026, Kimi K2 Thinking is the cheaper API on UberLLM: $0.0300 per million input tokens and $0.1250 per million output, versus $0.5000 / $2.50 for GPT-6 Astra — about 95% less on a blended 3:1 token mix. Both are reached through one OpenAI-compatible key and routed to the cheapest healthy seller, with no UberLLM fee added, so the price you see is the price you pay. Choose Kimi K2 Thinking to cut cost; choose GPT-6 Astra when context size wins — GPT-6 Astra carries the larger context window (1,050,000 vs 262,144 tokens), which can matter for long-document work.
Kimi K2 Thinking vs GPT-6 Astra, side by side
| Spec | Kimi K2 Thinking | GPT-6 Astra |
|---|---|---|
| Price · input / 1M | $0.0300 | $0.5000 |
| Price · output / 1M | $0.1250 | $2.50 |
| Context length | 262,144 | 1,050,000 |
| Max output tokens | 32,768 | 128,000 |
| Input modalities | text | text, image |
| Output modalities | text | text |
| Tools / functions | Yes | Yes |
| Vision (image input) | — | Yes |
| Reasoning | Yes | Yes |
| Cheapest seller | UberLLM | Vietapi |
| % off list | 95% off | 95% off |
Live prices via UberLLM, routed to the cheapest healthy seller. The price shown has no UberLLM fee added. Updated October 27, 2026.
Kimi K2 Thinking vs GPT-6 Astra — FAQ
Is Kimi K2 Thinking or GPT-6 Astra cheaper?
Kimi K2 Thinking is cheaper on a blended token mix, by about 95%. UberLLM routes every request to the cheapest healthy seller and bills the price shown, with no fee added.
What's the price difference between Kimi K2 Thinking and GPT-6 Astra?
Kimi K2 Thinking: $0.0300 in / $0.1250 out per 1M tokens. GPT-6 Astra: $0.5000 in / $2.50 out per 1M tokens. That's roughly a 95% blended difference. Prices are live; UberLLM adds no fee.
Can I use both Kimi K2 Thinking and GPT-6 Astra 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.