
MoonshotAI: Kimi K2.6
moonshotai/kimi-k2.6
Model weightsKimi K2.6 is Moonshot AI's next-generation multimodal model, designed for long-horizon coding, coding-driven UI/UX generation, and multi-agent orchestration. It handles complex end-to-end coding tasks across Python, Rust, and Go, and can convert prompts and visual inputs into production-ready interfaces. Its agent swarm architecture scales to hundreds of parallel sub-agents for autonomous task decomposition - delivering documents, websites, and spreadsheets in a single run without human oversight.
Providers
Different companies host the same model. OpenRouter routes your request to one of them based on the routing mode you pick: Balanced (price + speed), Nitro (fastest), or Floor (cheapest).
59% off | $0.95$0.3895 | $4.00$1.64 | $0.16$0.0656 | 1.02s | 67 tok/s | |
|---|---|---|---|---|---|---|
| $0.6500 | $3.41 | $0.1500 | 0.52s | 66 tok/s | ||
| $0.7000 | $3.50 | $0.3500 | 0.38s | 72 tok/s | ||
| $0.9500 | $4.00 | $0.1600 | 0.71s | 67 tok/s | ||
| $0.7985 | $3.75 | $0.1900 | 0.53s | 82 tok/s | ||
| $0.3900 | $1.80 | $0.0390 | 2.08s | 38 tok/s | ||
| $0.5700 | $2.40 | $0.1140 | 0.89s | 33 tok/s | ||
| $0.7500 | $3.50 | $0.1500 | 0.82s | 28 tok/s | ||
| $0.9500 | $4.00 | $0.1600 | 1.63s | 37 tok/s | ||
| $0.7700 | $3.40 | $0.1400 | 0.87s | 26 tok/s | ||
| $0.7500 | $3.50 | $0.1600 | 0.89s | 34 tok/s | ||
| $0.9500 | $4.00 | $0.1600 | 2.81s | 33 tok/s | ||
| $0.7500 | $3.50 | $0.1600 | 1.09s | 46 tok/s | ||
37% off | $0.95$0.5985 | $4.00$2.52 | $0.16$0.1008 | 1.19s | 42 tok/s | |
| $0.8000 | $3.40 | $0.1600 | 3.55s | 28 tok/s |
- Input $0.3895 / Output $1.6459% off67 tok/s99.84% uptime
- Input $0.65 / Output $3.4166 tok/s99.89% uptime
- Input $0.70 / Output $3.5072 tok/s99.70% uptime
- Input $0.95 / Output $4.0067 tok/s100.00% uptime
- Input $0.7985 / Output $3.7582 tok/s100.00% uptime
- Input $0.39 / Output $1.8038 tok/s99.60% uptime
- Input $0.57 / Output $2.4033 tok/s100.00% uptime
Input $0.75 / Output $3.5028 tok/s98.97% uptime- Input $0.95 / Output $4.0037 tok/s95.55% uptime
- Input $0.77 / Output $3.4026 tok/s100.00% uptime
- Input $0.75 / Output $3.5034 tok/s99.67% uptime
- Input $0.95 / Output $4.0033 tok/s99.81% uptime
- Input $0.75 / Output $3.5046 tok/s97.75% uptime
- Input $0.5985 / Output $2.5237% off42 tok/s98.56% uptime
- Input $0.80 / Output $3.4028 tok/s100.00% uptime
Pricing
The average price customers actually pay for this model, next to the prices providers post. Caching and discounts mean the price actually paid is often well below the listed one.
Weighted average
Kimi K2.6 — Price history
| $0.181 | $1.64 | 64.4% | 15.7% | ||
| $0.278 | $3.50 | 78.7% | 10.5% | ||
| $0.283 | $1.80 | 30.5% | 3.3% | ||
| $0.297 | $2.40 | 59.7% | 1.9% | ||
| $0.366 | $4.00 | 74.0% | 5.1% | ||
| $0.395 | $3.41 | 51.0% | 27.9% | ||
| $0.396 | $3.50 | 86.8% | 15.7% | ||
| $0.418 | $3.40 | 55.8% | 0.4% | ||
| $0.490 | $4.00 | 58.2% | 4.5% | ||
| $0.508 | $2.52 | 18.1% | 0.4% | ||
| $0.509 | $3.50 | 40.8% | 4.8% | ||
| $0.538 | $3.40 | 40.9% | 0.8% | ||
| $0.559 | $3.75 | 39.3% | 6.3% | ||
| $0.568 | $3.50 | 30.8% | 2.8% | ||
| $0.831 | $4.00 | 15.1% | 0.1% |
- Effective in $0.181 / Effective out $1.64Token share15.7%
- Effective in $0.278 / Effective out $3.50Token share10.5%
- Effective in $0.283 / Effective out $1.80Token share3.3%
- Effective in $0.297 / Effective out $2.40Token share1.9%
- Effective in $0.366 / Effective out $4.00Token share5.1%
- Effective in $0.395 / Effective out $3.41Token share27.9%
- Effective in $0.396 / Effective out $3.50Token share15.7%
- Effective in $0.418 / Effective out $3.40Token share0.4%
- Effective in $0.490 / Effective out $4.00Token share4.5%
- Effective in $0.508 / Effective out $2.52Token share0.4%
- Effective in $0.509 / Effective out $3.50Token share4.8%
- Effective in $0.538 / Effective out $3.40Token share0.8%
- Effective in $0.559 / Effective out $3.75Token share6.3%
- Effective in $0.568 / Effective out $3.50Token share2.8%
- Effective in $0.831 / Effective out $4.00Token share0.1%
Performance
Throughput is how fast the model writes (tokens per second — higher is better). Latency is total round-trip time (lower is better). TTFT is time-to-first-token — how long before you see anything appear (lower is better).
P50, best across providers
P50, best provider
Uptime
Uptime is the percentage of the past 3 days that at least one provider was responding to requests. Availability is the percentage of time that inference was successfully served. OpenRouter continuously monitors and uses the next-best provider when one returns an error.
Availability over the last 3 days
Last 72 hoursAvailability over the last 24 hours
When an error occurs in an upstream provider, we can recover by routing to another healthy provider, if your request filters allow it. You can access per-provider uptime data programmatically through the Endpoints API. Learn more about our load balancing and provider routing options.
Benchmarks
Scores on standardized evaluations and this model’s own outputs on shared benchmark prompts. Higher percentages are better — and each rank shows where this model lands among the models evaluated on that source.
| Source | Benchmark | Score |
|---|---|---|
| Artificial Analysis | Kimi K2.6 (Reasoning) Coding Index | 61.8 |
| Artificial Analysis | Kimi K2.6 (Reasoning) Agentic Index | 20.5 |
| Artificial Analysis | Kimi K2.6 (Reasoning) GPQA Diamond | 91.1% |
| Artificial Analysis | Kimi K2.6 (Reasoning) HLE | 37.5% |
| Artificial Analysis | Kimi K2.6 (Reasoning) IFBench | 76.0% |
| Artificial Analysis | Kimi K2.6 (Reasoning) τ²-Bench Telecom | 95.9% |
| Artificial Analysis | Kimi K2.6 (Reasoning) AA-LCR | 81.0% |
| Artificial Analysis | Kimi K2.6 (Reasoning) τ-Bench Banking | 23.3% |
| Artificial Analysis | Kimi K2.6 (Reasoning) GDPval-AA | 27.3% |
| Artificial Analysis | Kimi K2.6 (Reasoning) CritPt | 8.0% |
| Artificial Analysis | Kimi K2.6 (Reasoning) SciCode | 51.5% |
| Artificial Analysis | Kimi K2.6 (Reasoning) Terminal-Bench Hard | 43.9% |
| Artificial Analysis | Kimi K2.6 (Reasoning) Terminal-Bench 4.0 | 0.5% |
| Artificial Analysis | Kimi K2.6 (Reasoning) Terminal-Bench 2.1 | 65.9% |
| Artificial Analysis | Kimi K2.6 (Non-reasoning) GPQA Diamond | 78.8% |
| Artificial Analysis | Kimi K2.6 (Non-reasoning) HLE | 19.6% |
| Artificial Analysis | Kimi K2.6 (Non-reasoning) IFBench | 44.3% |
| Artificial Analysis | Kimi K2.6 (Non-reasoning) τ²-Bench Telecom | 93.9% |
| Artificial Analysis | Kimi K2.6 (Non-reasoning) AA-LCR | 69.7% |
| Artificial Analysis | Kimi K2.6 (Non-reasoning) CritPt | 1.4% |
| Artificial Analysis | Kimi K2.6 (Non-reasoning) Terminal-Bench Hard | 37.9% |
| Design Arena | Kimi K2.6 Agents Arena Agenticgamedev Elo | 1084 |
| Design Arena | Kimi K2.6 Agents Arena Agentichtmlslides Elo | 1248 |
| Design Arena | Kimi K2.6 Agents Arena Agenticslides Elo | 1187 |
| Design Arena | Kimi K2.6 Agents Arena Agenticslides(Html) Elo | 1252 |
| Design Arena | Kimi K2.6 Agents Arena Agenticslides(Python-Pptx) Elo | 1186 |
| Design Arena | Kimi K2.6 Agents Arena Androidnative Elo | 1152 |
| Design Arena | Kimi K2.6 Agents Arena Full Stack Elo | 1128 |
| Design Arena | Kimi K2.6 Agents Arena Godotgamedev Elo | 1100 |
| Design Arena | Kimi K2.6 Agents Arena Htmlslides Elo | 1080 |
| Design Arena | Kimi K2.6 Agents Arena Mobile Apps Elo | 1147 |
| Design Arena | Kimi K2.6 Agents Arena Pptxslides Elo | 1181 |
| Design Arena | Kimi K2.6 Agents Arena Python-Pptxslides Elo | 1180 |
| Design Arena | Kimi K2.6 Agents Arena Python-Pptxslides Elo | 1095 |
| Design Arena | Kimi K2.6 Agents Arena Spreadsheet Elo | 1276 |
| Design Arena | Kimi K2.6 Agents Arena Webapps Elo | 1268 |
| Design Arena | Kimi K2.6 Models Arena 3D Elo | 1247 |
| Design Arena | Kimi K2.6 Models Arena Asciiart Elo | 1152 |
| Design Arena | Kimi K2.6 Models Arena Code Categories Elo | 1262 |
| Design Arena | Kimi K2.6 Models Arena Data Visualization Elo | 1246 |
| Design Arena | Kimi K2.6 Models Arena Game Development Elo | 1239 |
| Design Arena | Kimi K2.6 Models Arena SVG Elo | 1170 |
| Design Arena | Kimi K2.6 Models Arena UI Component Elo | 1257 |
| Design Arena | Kimi K2.6 Models Arena Website Elo | 1263 |
| Vals AI | Kimi K2.6 CaseLaw v2 | 61.2% |
| Vals AI | Kimi K2.6 Code Migration | 27.8% |
| Vals AI | Kimi K2.6 CorpFin v2 | 66.7% |
| Vals AI | Kimi K2.6 EMB | 57.9% |
| Vals AI | Kimi K2.6 Finance Agent (v2) | 44.9% |
| Vals AI | Kimi K2.6 GPQA Diamond | 89.1% |
| Vals AI | Kimi K2.6 Harvey's Legal Agent Benchmark v1 | 1.7% |
| Vals AI | Kimi K2.6 LiveCodeBench | 86.8% |
| Vals AI | Kimi K2.6 LegalBench | 84.7% |
| Vals AI | Kimi K2.6 Legal Research Bench | 15.9% |
| Vals AI | Kimi K2.6 MedCode | 40.1% |
| Vals AI | Kimi K2.6 MedScribe | 78.1% |
| Vals AI | Kimi K2.6 MMLU Pro | 87.6% |
| Vals AI | Kimi K2.6 MMMU Pro | 86.3% |
| Vals AI | Kimi K2.6 MortgageTax | 65.8% |
| Vals AI | Kimi K2.6 ProgramBench | 0.0% |
| Vals AI | Kimi K2.6 ProofBench v1 | 16.0% |
| Vals AI | Kimi K2.6 Public Benefits Bench v1.1 | 56.6% |
| Vals AI | Kimi K2.6 SAGE v1 | 50.2% |
| Vals AI | Kimi K2.6 SWE-bench | 76.2% |
| Vals AI | Kimi K2.6 Tax Agent Bench | 12.4% |
| Vals AI | Kimi K2.6 TaxEval v2 | 74.7% |
| Vals AI | Kimi K2.6 Terminal-Bench 2.1 | 53.6% |
| Vals AI | Kimi K2.6 Vals Index | 43.5% |
| Vals AI | Kimi K2.6 Vals Multimodal Index | 56.4% |
| Vals AI | Kimi K2.6 Vibe Code Bench v1.1 | 37.9% |
Apps
Public apps that send the most traffic to this model. Good signal for what real production workloads look like — and a hint at which use cases this model is best suited for.
Activity
Token volume and request traffic to this model over time.
API
Drop-in code to call this model. OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. The only thing that changes between models is the model slug below.
Available through EU in-region routing
MoonshotAI: Kimi K2.6 is available through EU in-region routing. Requests sent to eu.openrouter.ai are decrypted in the EU and routed only to shared provider endpoints in Europe (the EU/EEA, the UK, and Switzerland).
- Providers in Europe
- Inceptron
- Prices in Europe
- Inceptron: $0.7985/M tokens input, $3.75/M tokens output
- Base URL
https://eu.openrouter.ai/api/v1- Plan
- Requires Business or Enterprise. Self-serve on Business: no contract, no monthly minimum. OpenRouter Business for EU in-region routing
Fails closed: if no shared provider endpoint in Europe is available, the request errors instead of leaving the region. Requests served by your own BYOK key go to your deployment’s region, which you control. In-region routing docs
Documentation
Guides, cookbooks, blog posts, and tools for building with MoonshotAI: Kimi K2.6 on OpenRouter.
Frequently asked questions
Kimi K2.6 is Moonshot AI's next-generation multimodal model, designed for long-horizon coding, coding-driven UI/UX generation, and multi-agent orchestration. It handles complex end-to-end coding tasks across Python, Rust, and Go, and can convert prompts and visual inputs into production-ready interfaces.
The Kimi K2.6 documentation on OpenRouter includes the LLM Quantization: What fp8 and fp4 Do to Quality and Price blog post. The quickstart covers API keys and your first request, and the API reference lists every parameter.
Kimi K2.6 costs $0.3895/M input tokens and $1.64/M output tokens, with separate rates for Cache Read at $0.0656/M tokens.
Kimi K2.6 has a 262,144 token context window. It supports up to 262,144 completion tokens.
Yes. Kimi K2.6 accepts tools and tool_choice for function calling. It also supports structured outputs via a JSON schema in response_format.
Kimi K2.6 accepts text and images as input and returns text.
Kimi K2.6 is served by 15 providers on OpenRouter: Baidu Qianfan, Chutes, DigitalOcean, StreamLake, CoreWeave, Crusoe, DeepInfra, Venice and 7 more. Requests are routed to the best available provider, with automatic failover to the others, and you can pin or exclude providers with provider routing.
Kimi K2.6 was released on April 20, 2026.