Kimi K2-Instruct-0905
Kimi K2-Instruct-0905 is an AI model published by Moonshot AI, released on 2025-09-05, for Chat model, with 1T parameters, and 256K context length, requiring about 1.01TB storage, with a 75.20 score on AIME2025.
Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology
Model basics
Open source & experience
Official resources
API details
| Type | Condition | Input | Output |
|---|---|---|---|
| Text | - | $0.600/ 1M tokens | $2.50/ 1M tokens |
| Type | Condition | Input | Output |
|---|---|---|---|
| Text | - | $0.300/ 1M tokens | $1.25/ 1M tokens |
| Type | TTL | Write | Read |
|---|---|---|---|
| Text | - | $0.600/ 1M tokens | $0.300/ 1M tokens |
| Text | - | $0.600/ 1M tokens Cache = write | — |
| Text | - | — | $0.300/ 1M tokens Cache = hit |
“—” means the modality is not billed in that direction, or the vendor has not published a price for it.
Benchmark Results
Kimi K2 0905 currently shows benchmark results led by Terminal-Bench (6 / 35, score 44.50), SWE-bench Verified (65 / 116, score 69.20), AIME2025 (68 / 107, score 75.20). This page also consolidates core specs, context limits, and API pricing so you can evaluate the model from benchmark results and deployment constraints together.
Coding and Software Engineer
3 evaluationsMath and Reasoning
2 evaluationsAI Agent - Tool Usage
2 evaluationsPublisher
Model Overview
Kimi K2-Instruct-0905 is an AI model published by Moonshot AI, released on 2025-09-05, for Chat model, with 1T parameters, and 256K context length, requiring about 1.01TB storage, with a 75.20 score on AIME2025.
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