moonshotai/Kimi-K2.5| Provider | Input, $ per 1M | Output, $ per 1M | In our data since |
|---|---|---|---|
| NanoGPT | $0.3 | $1.9 | 31 Jul 2026 |
| crof | $0.35 | $1.7 | 31 Jul 2026 |
| LLM Gateway | $0.405 | $1.98 | 31 Jul 2026 |
| siliconflow-cn | $0.45 | $2.25 | 31 Jul 2026 |
| meganova | $0.45 | $2.8 | 31 Jul 2026 |
| DeepInfra | $0.45 | $2.25 | 31 Jul 2026 |
| Kilo Code | $0.45 | $2.2 | 31 Jul 2026 |
| SiliconFlow | $0.45 | $2.25 | 31 Jul 2026 |
| auriko | $0.5 | $2.8 | 31 Jul 2026 |
| tensorx | $0.5 | $2.8 | 2 Aug 2026 |
| DigitalOcean Gradient AI | $0.5 | $2.7 | 31 Jul 2026 |
| Nebius Token Factory | $0.5 | $2.5 | 31 Jul 2026 |
| Together AI | $0.5 | $2.8 | 31 Jul 2026 |
| neuralwatt | $0.52 | $2.59 | 31 Jul 2026 |
| hyper | $0.528 | $2.79 | 1 Aug 2026 |
| Cortecs | $0.55 | $2.76 | 31 Jul 2026 |
| Venice AI | $0.56 | $3.5 | 31 Jul 2026 |
OpenRouter
moonshotai/kimi-k2.5
|
$0.57 | $2.85 | 31 Jul 2026 |
alibaba-cn
kimi-k2.5
|
$0.574 | $2.411 | 31 Jul 2026 |
| ZenMux | $0.58 | $3.02 | 31 Jul 2026 |
| opencode-go | $0.6 | $3 | 31 Jul 2026 |
| daoxe | $0.6 | $3 | 31 Jul 2026 |
| frogbot | $0.6 | $3 | 31 Jul 2026 |
| moonshotai-cn | $0.6 | $3 | 31 Jul 2026 |
alibaba-cn
kimi/kimi-k2.5
|
$0.6 | $3 | 31 Jul 2026 |
| novita-ai | $0.6 | $3 | 31 Jul 2026 |
| hpc-ai | $0.6 | $3 | 31 Jul 2026 |
| AIHubMix | $0.6 | $3 | 31 Jul 2026 |
| Abacus.AI | $0.6 | $3 | 31 Jul 2026 |
Amazon Bedrock
bedrock/moonshotai.kimi-k2.5
|
$0.6 | $3.03 | 31 Jul 2026 |
Amazon Bedrock
bedrock/us-east-1/moonshotai.kimi-k2.5
|
$0.6 | $3 | 31 Jul 2026 |
| Azure Cognitive Services | $0.6 | $3 | 31 Jul 2026 |
| Baseten | $0.6 | $3 | 31 Jul 2026 |
| Cloudflare AI Gateway | $0.6 | $3 | 31 Jul 2026 |
| Fireworks AI | $0.6 | $3 | 1 Aug 2026 |
| Hugging Face | $0.6 | $3 | 31 Jul 2026 |
| Jiekou.AI | $0.6 | $3 | 31 Jul 2026 |
| Merge Gateway | $0.6 | $3 | 31 Jul 2026 |
| Microsoft Foundry | $0.6 | $3 | 31 Jul 2026 |
| Moonshot AI | $0.6 | $3 | 31 Jul 2026 |
| OpenCode Zen | $0.6 | $3 | 31 Jul 2026 |
OpenRouter
openrouter/moonshotai/kimi-k2.5
|
$0.6 | $3 | 31 Jul 2026 |
| OrcaRouter | $0.6 | $3 | 31 Jul 2026 |
| Poe | $0.6 | $3 | 31 Jul 2026 |
| Vercel | $0.6 | $3 | 31 Jul 2026 |
| Weights & Biases | $0.6 | $3 | 31 Jul 2026 |
| CrossModel | $0.62 | $3.3 | 31 Jul 2026 |
Amazon Bedrock
bedrock/ap-northeast-1/moonshotai.kimi-k2.5
|
$0.72 | $3.6 | 31 Jul 2026 |
Only the base tier and only per-token prices are shown. Batch, discounted and cached rates, as well as prices per image or per second of video, do not go into this table: they cannot stand in the same column as a price per million tokens.
A single provider appears several times if it sells this model under different identifiers and at different prices — for example, at different weight precision. The identifier is shown next to the name. Identical offers that arrived from two sources under different spellings are merged into one row.
The date in the last column is the day this price first entered our collection. The price may well be older: before that day we simply were not recording it. It has not changed since — otherwise a new row with a new date would stand in its place.
| Task set | Result | Run conditions | Measured by |
|---|---|---|---|
| Mock AIME 2024–2025 — olympiad problems | 92.19 % | · with a tuned harness | Epoch evaluations |
| Fiction.LiveBench — holding a long context | 86.1 % | — | Fiction.live leaderboard |
| GPQA Diamond — graduate-level questions | 83.47 % | · with a tuned harness | Epoch evaluations |
| SWE-bench Verified — fixing bugs in repositories | 73.76 % | · with a tuned harness | Epoch evaluations |
| ARC-AGI — generalising to unseen patterns | 65.33 % | · with a tuned harness | — |
| OSWorld — working inside an operating system, first version | 63.3 % | · with a tuned harness | OS World Website |
| WeirdML — unusual machine learning tasks | 45.6 % | — | WeirdML Leaderboard |
| Terminal-Bench — working in the command line | 43.2 % | · with a tuned harness | — |
| SimpleBench — trick questions | 36.16 % | — | SimpleBench Leaderboard |
| SimpleQA Verified — factual accuracy | 33.9 % | — | Epoch evaluations |
| CursorBench — edits in the editor | 31.9 % | — | https://cursor.com/cursorbench |
| Humanity’s Last Exam — expert-level questions | 20.56 % | — | — |
| APEX-Agents | 14.4 % | — | — |
| ARC-AGI-2 | 11.81 % | — | — |
| Chess puzzles | 7.41 % | — | Epoch evaluations |