Moonshot
Kimi K2.6
kimi-k2.6
Total Context
262.1K
Max Output
262.1K
Released
N/A
Input$0.9286 / M tokens
Output$3.8571 / M tokens
Kimi K3
kimi-k3Kimi K3 is Moonshot AI’s flagship model for long-context coding, complex reasoning, and knowledge work. With native vision and a 1M-token context window, the Kimi K3 API is designed for repository analysis, document research, multi-step agent workflows, and production AI applications. Use TokenHub to review Kimi K3 price, API access, model capabilities, and benchmark results before choosing it for your workload.
Context Window
1M tokens
Maximum Output
131.1K tokens
Release Date
Jul 16, 2026
Modalities
Kimi K3 Pricing
| Input Price | Output Price | Cache Read |
|---|---|---|
| $2.8571/M | $14.2857/M | $0.2857/M |
Kimi K3 API Capabilities
Reasoning
Supported
Tool calling
Supported
Temperature parameter
Not supported
Attachments
Supported
Knowledge Base
—
Endpoint Protocols
Messages APICompletions API
Kimi K3 Model Highlights
Kimi K3 is an open-weight native multimodal reasoning model designed for long-horizon coding, agentic knowledge work and million-token context.
Long-Horizon Coding
The model is designed to sustain extended engineering sessions, navigate large repositories and coordinate development tools with limited supervision.
Native Multimodality
Kimi K3 understands text, images and video within one model, supporting reasoning that connects visual evidence with written context.
Million-Token Reasoning
A one-million-token context window supports reasoning across extensive code, documents, media and long-running task histories.
Kimi K3 Use Cases
Kimi K3 is suited to extended software engineering, visually informed development and end-to-end knowledge work involving large source collections.
Autonomous Repository Engineering
Navigate large codebases, plan cross-file changes, execute development steps and maintain continuity through extended engineering sessions.
Vision-Guided Development
Use screenshots, design references or video frames alongside source code to implement interfaces and diagnose visual behavior.
Agentic Knowledge Work
Research extensive source material, organize findings and produce reports, visualizations or dashboards as complete deliverables.
How to Use Kimi K3 via the TokenHub API
curl 'https://us-api.tokenhub.com/v1/messages' \
-X 'POST' \
-H "Authorization: Bearer $TOKENHUB_API_KEY"Kimi K3 Benchmarks
Kimi K3
| Index score | ||
|---|---|---|
| Artificial Analysis Intelligence Index | Artificial Analysis broad capability aggregate | 57.1 |
| Artificial Analysis Coding Index | Artificial Analysis software task aggregate | 76.2 |
| Knowledge & Reasoning | ||
| GPQA | Advanced science problem solving | 93.5% |
| HLE | Broad expert-level exam set | 44.3% |
| Coding & Engineering | ||
| SciCode | Scientific coding challenges | 58.7% |
| Instruction Following & Agent Tasks | ||
| AA-LCR | Long-context reasoning | 74.7% |
Metrics sourced from Artificial Analysis
Kimi K3 Comparisons
Kimi K3 API FAQs
Answers about the Kimi K3 API, Kimi K3 price, coding, reasoning, context window, benchmarks, and model comparisons.
What is Kimi K3?+
Kimi K3 is Moonshot AI's flagship model for long-context coding, complex reasoning, and knowledge work. It combines native vision with a 1M-token context window for repository analysis, long-document research, and multi-step agent workflows.
How good is Kimi K3 for coding and reasoning?+
Kimi K3 is designed for long-horizon coding, complex reasoning, and agent-style work. Use the Kimi K3 benchmarks on this page to shortlist models, then validate it with your own repository, prompts, tools, latency target, and evaluation set.
What should I consider when evaluating Kimi K3 price?+
Review Kimi K3 input, output, and cache-read pricing separately. Coding and research tasks with long responses are usually more sensitive to output cost, while repeated long-context prompts benefit more from cache pricing.
How do I use the Kimi K3 API through TokenHub?+
Create a TokenHub API key, set the model ID to `kimi-k3`, and use an available endpoint shown on this page. Existing OpenAI-compatible applications can usually keep their request flow and update the API key, Base URL, and model ID.
Kimi K3 vs DeepSeek V4 Pro: which model should I choose?+
Choose by workload, not a generic ranking. Start with Kimi K3 when long-context coding, knowledge work, or native vision are central; then compare Kimi K3 vs DeepSeek V4 Pro on API price, output volume, latency, tool use, and your own evaluation results.
What is the Kimi K3 context window?+
Kimi K3 supports a 1M-token context window. The Kimi K3 API can therefore be used for long documents, large codebases, research material, and multi-turn agent workflows; actual cost depends on tokens sent and generated per request.
Does Kimi K3 support multimodal input?+
Kimi K3 includes native vision capability. Before building an image or multimodal workflow, check the currently published modalities and endpoint support on this Kimi K3 model page, because support can vary by endpoint.
Ready to use Kimi K3?
Use one API key to access Kimi K3 and more AI models through TokenHub.
Kimi K3 Media, Demos and Reviews
Launch announcements, independent evaluations and community discussion about Kimi K3.
X (Twitter)
Kimi.ai ·
Introducing Kimi K3: Open Frontier Intelligence 🔹 2.8 Trillion Parameters, 1 Million Context, Native Multimodal 🔹 Kimi Delta Attention enables up to 6.3x faster decoding in million-token contexts 🔹 Attention Residuals deliver ~25% higher training efficiency at <2% additional https://t.co/eFHEbdxn3P
https://pbs.twimg.com/media/HNXu0kobMAAPljb.pnghttps://pbs.twimg.com/media/HNXu2GWaYAAwH4w.pngView originalChetaslua ·
Kimi K3 vs GPT-5.6 Sol Difference in taste is so stark , like if i swap kimi k 3 name with fable 5 people will trust it but this is not only about visuals , its also about function , you can see both achieve same result but the way to achieve is different kimi is more https://t.co/zpirIariVT
https://pbs.twimg.com/amplify_video_thumb/2077700438212972544/img/V0a6PbrfVi23eZ1m.jpgView originalJun Song ·
Kimi-K3 vs Opus-4.8 Flappybird test. Kimi is significantly better than Opus. That’s the reason why I claimed it as Opus-5 level. Test done in @arena https://t.co/Z5I7Ds9oWa
https://pbs.twimg.com/amplify_video_thumb/2077396898324094976/img/qG_Luc6NN43kmRjB.jpgView originalReddit
Kimi K3 dropped officially. Blog post, docs, pricing, the works.
thestreamcode ·
View originalMoonshot AI just dropped Kimi K3: An open weight frontier multimodal AI model (2.8T params) MoE with a 1M context window
ai_tech_simp ·
View originalYouTube
Kimi K3 is the best model ever made (sometimes)
Theo - t3․gg
View originalKimi K3 might be the most powerful open AI model I've seen!
Codex Community
View originalKimi K3: Testing Moonshot's 2.8T Open Model without Hype
Fahd Mirza
View original