As of August 21, 2026, Kimi K2 Instruct API pricing is $0.50 per million input tokens and $0.50 per million output tokens. A typical 100K-in / 20K-out request costs $0.06. Source: https://platform.kimi.com/docs/pricing/chat
Source: Moonshot AI pricing (https://platform.kimi.com/docs/pricing/chat)
Input $/M
$0.50
Output $/M
$0.50
Blended / 1M
$1.00
100K / 20K request
$0.06
| Context Window | 200K |
|---|---|
| Max Output | 200K tokens |
| Release Date | 2025-07-11 |
| Knowledge Cutoff | N/A |
| License | Open Source |
| Throughput | N/A |
| HLE | 4.7% |
|---|---|
| GPQA | 75.1% |
| GPQA Diamond | 71.5% |
| SWE-bench Verified | 43.8% |
| LiveCodeBench | 70.5% |
| LiveCodeBench v6 | 53.7% |
| SimpleQA | 31% |
| IFEval | 89.8% |
| SWE-bench Multilingual | 47.3% |
| Terminal-Bench | 30% |
| Terminal-Bench 2.0 | 25.8% |
| tau-bench Retail | 70.6% |
| tau2-bench (Telecom) | 65.8% |
| AIME 2025 | 49.5% |
| AIME 2024 | 69.6% |
| MATH 500 | 97.4% |
| Alder Polyglot | 60% |
| MMLU | 89.5% |
| HumanEval | 93.3% |
| Acebench | 76.5% |
| Autologi | 89.5% |
| Cbnsl | 95.6% |
| Cnmo 2024 | 74.3% |
| CorpFin v2 | 50.4% |
| Csimpleqa | 78.4% |
| Fiction.liveBench | 0% |
| GSM8K | 97.3% |
| HMMT 2025 | 38.8% |
| Humaneval Er | 81.1% |
| IOI | 1.3% |
| Lech Mazur Writing | 8.6% |
| LiveBench | 76.4% |
| MedQA | 84.0% |
| MGSM | 91.0% |
| MMLU-Pro | 81.1% |
| MMLU-Redux | 92.7% |
| Multichallenge | 54.1% |
| Multipl E | 85.7% |
| Musr | 76.4% |
| Ojbench | 27.1% |
| Polymath En | 65.1% |
| SimpleBench | 26.3% |
| SuperGPQA | 57.2% |
| Swe Bench Verified Agentic Coding | 65.8% |
| Swe Bench Verified Agentless | 51.8% |
| Swe Bench Verified Multiple Attempts | 71.6% |
| tau2-bench Airline | 56.5% |
| tau2-bench Retail | 70.6% |
| tau2-bench Telecom | 65.8% |
| Tax Eval v2 | 70.2% |
| Terminus | 25% |
| Zebralogic | 89% |
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As of August 21, 2026, Kimi K2 Instruct Moonshot AI API pricing is $0.50 per million input tokens and $0.50 per million output tokens. Input tokens are the prompt you send; output tokens are the completion. Long answers therefore cost more than short ones even when the prompt stays the same. Source: https://platform.kimi.com/docs/pricing/chat
On this page the blended Kimi K2 Instruct API cost is $1.00 for 1 million input tokens plus 1 million output tokens. That 1:1 mix is the comparison scale used across the LLM pricing table. A 3:1 mix (three million input tokens per one million output tokens), which some calculators use, would be about $2.00.
A typical Kimi K2 Instruct API request with 100K input tokens and 20K output tokens costs about $0.06 at current rates as of August 21, 2026. Multiply that by daily or monthly volume to estimate spend. Caching, batch APIs, and volume discounts from Moonshot AI can bring the real invoice lower than the public list rate at https://platform.kimi.com/docs/pricing/chat.
Kimi K2 Instruct supports a 200K token context window and can generate up to 200K output tokens per request. The context window is the total prompt plus conversation history the model can see in one call. Larger windows cost more when you fill them, because every input token is billed per million tokens.
Yes. Kimi K2 Instruct is an open-weight model by Moonshot AI. You can download the weights and self-host, or pay Moonshot AI's hosted API and skip GPU ops. Hosted API pricing on this page is the public per-million-token rate, not the electricity cost of running the weights yourself.
Kimi K2 Instruct currently reports HLE 4.7%, GPQA 75.1%, GPQA Diamond 71.5%. See the performance table for the full eval set. Use those scores with the token prices above when you are choosing between a cheaper LLM and a frontier model. GPQA, SWE-bench, and HLE are the evals people usually compare first.
Kimi K2 Instruct scores 43.8% on SWE-bench Verified. Pair that score with Moonshot AI API pricing on this page: a slightly worse SWE-bench model can still win if it is much cheaper per million tokens. Open the SWE-bench or coding leaderboard from the sidebar for the full ranking, then jump into an LLM comparison against a coding specialist.
Use the Compare picker on this page to start an LLM comparison. Search by model or provider, pick a second model, and AnotherWrapper opens a dedicated Kimi K2 Instruct vs page with per-million-token prices, blended 1M-in / 1M-out cost, context window, throughput, and benchmarks. You can also open any model from the sidebar, or go back to the LLM pricing table to sort the full index.
The cheapest LLM alternative depends on whether you optimize for blended token cost, coding evals, or context window. Start with the popular matchups on this page, then sort the LLM pricing table by blended cost to see which hosted APIs undercut Kimi K2 Instruct. Open-weight models can be cheaper still if you self-host, but that is not the same as Moonshot AI API pricing on this page.
Kimi K2 Instruct is called through Moonshot AI's API with an API key. Bill against input and output tokens separately; cache or shorten prompts if spend is high. If you are shipping a full product, AnotherWrapper includes pre-built API routes and templates for Moonshot AI and 5+ other providers with auth, payments, and deployment already configured.
This Kimi K2 Instruct page tracks the latest published Moonshot AI API pricing from Moonshot AI, quoted per million tokens. List rates can differ from invoices because of prompt caching, batch discounts, committed-use tiers, and private contracts. Official rate sheet: https://platform.kimi.com/docs/pricing/chat. Benchmark scores come from official publications and independent evals, not from a private lab run by AnotherWrapper.
Kimi K2 Instruct is a open-source model from Moonshot AI. Current API pricing is $0.50 per million input tokens and $0.50 per million output tokens, with a 200K token context window. A blended 1M-in / 1M-out workload costs $1.00.
Rank it on the LLM leaderboard, SWE-bench, and Humanity's Last Exam.
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