Model reference · Synced 2025-04-29
kimi-k2-0905-preview
kimi-k2-0905-preview is an AI model from iFlow. 256K context window. Capabilities: tool calling, open weights. Available on 12 providers. Cheapest listing: $0 input / $0 output per 1M tokens.
Quick facts
- Cheapest input: $0 per 1M tokens (iFlow)
- Cheapest output: $0 per 1M tokens
- Context window: 256K tokens
- Max output: 64K tokens
- Release date: 2025-09-05
- Knowledge cutoff: 2024-12
- Capabilities: tool calling, open weights
- Provider count: 12
Provider pricing
Same model, different providers, different prices. Cheapest first.
| Provider | Input / 1M | Output / 1M | Context | Listed |
|---|---|---|---|---|
| iFlow | $0 | $0 | 256K | 2025-09-05 |
| Nvidia | $0 | $0 | 262K | 2025-09-05 |
| NanoGPT | $0.4 | $2 | 256K | 2025-09-25 |
| Deep Infra | $0.4 | $2 | 262K | 2025-09-05 |
| Jiekou.AI | $0.6 | $2.5 | 262K | 2026-01 |
| ZenMux | $0.6 | $2.5 | 262K | 2025-09-04 |
| NovitaAI | $0.6 | $2.5 | 262K | 2025-09-05 |
| Moonshot AI (China) | $0.6 | $2.5 | 262K | 2025-09-05 |
| Vercel AI Gateway | $0.6 | $2.5 | 131K | 2025-09-05 |
| Moonshot AI | $0.6 | $2.5 | 262K | 2025-09-05 |
| 302.AI | $0.632 | $2.53 | 262K | 2025-09-05 |
| Synthetic | $1.2 | $1.2 | 262K | 2025-09-05 |
Prices synced daily from models.dev + provider docs.
How to use this model
If you're picking kimi-k2-0905-preview 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.
Related models
FAQ
How much does kimi-k2-0905-preview cost? $0 input / $0 output per 1M tokens at the cheapest listing. See the table above for other providers.
What is the context window? 256K tokens.
Which providers offer it? 302.AI, NanoGPT, Jiekou.AI, iFlow, ZenMux, NovitaAI, Deep Infra, Moonshot AI (China), Synthetic, Nvidia, and others — see the full table above.
Where do these numbers come from? models.dev + provider documentation, synced daily. About the data.