Model reference · Synced 2025-04-29
K2-Think
K2-Think is an AI model from NanoGPT. 128K context window. Capabilities: text generation. Available on 1 provider. Cheapest listing: $0.17 input / $0.68 output per 1M tokens.
Quick facts
- Cheapest input: $0.17 per 1M tokens (NanoGPT)
- Cheapest output: $0.68 per 1M tokens
- Context window: 128K tokens
- Max output: 33K tokens
- Release date: 2025-07-26
- Capabilities: text generation
- Provider count: 1
Provider pricing
Same model, different providers, different prices. Cheapest first.
| Provider | Input / 1M | Output / 1M | Context | Listed |
|---|---|---|---|---|
| NanoGPT | $0.17 | $0.68 | 128K | 2025-07-26 |
Prices synced daily from models.dev + provider docs.
How to use this model
If you're picking K2-Think for a project, the three things that matter most:
- Compare it side-by-side with one or two alternatives in the live comparison tool. Pricing differences matter more than benchmarks at scale.
- Pick the cheapest provider that meets your latency / SLA need. Big spread across providers for the same weights.
- Re-evaluate every 3 months. Frontier prices drop fast; a model that's cheapest today may not be in a quarter.
FAQ
How much does K2-Think cost? $0.17 input / $0.68 output per 1M tokens at the cheapest listing. See the table above for other providers.
What is the context window? 128K tokens.
Which providers offer it? NanoGPT.
Where do these numbers come from? models.dev + provider documentation, synced daily. About the data.