MoonshotAI: Kimi K2.6
Analysis Summary
Kimi K2.6 is MoonshotAI's capable mid-tier model, combining a coding index of 56 and an agentic index of 69.9 with vision support and tool use. At an intelligence index of 42.8 it sits in the very strong tier, and its long-context retrieval and instruction-following scores are both high, making it well-rounded for complex business workflows.
For businesses, K2.6 is a strong fit for software engineering assistance, agentic pipelines, and document-heavy tasks. The 262K context window handles large codebases and lengthy reports comfortably. Vision support adds multimodal flexibility for teams processing images or diagrams alongside text. The main consideration is provider familiarity, as MoonshotAI is less embedded in enterprise toolchains than Anthropic or Google.
At $0.55 input and $3.20 output per million tokens, K2.6 offers excellent price-performance for its capability tier. Teams looking for a cost-efficient alternative to premium Anthropic or OpenAI models for coding and agentic work should evaluate it seriously.
Assessed June 30, 2026
Editorial notes
Kimi K2.6 from MoonshotAI delivers strong coding and agentic performance with vision support and a 262K context window at very competitive pricing of $0.55 input per million tokens.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
Performance Profile
How MoonshotAI: Kimi K2.6 compares
MoonshotAI: Kimi K2.6 ranks #21 of 385 AI models we track for overall intelligence, #26 of 129 for coding, #17 of 293 for agentic tasks. Its 262K-token context window is larger than 81% of the models we list. At $0.55 per million input tokens it is cheaper than 33% of comparable models.
About MoonshotAI: Kimi K2.6
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..
Capabilities
Performance Indices
Source: Artificial Analysis
Benchmark Scores
Intelligence
Technical
Content
Benchmark data from Artificial Analysis and Hugging Face
How does MoonshotAI: Kimi K2.6 stack up?
Compare side-by-side with other professional models.
Model Information
| OpenRouter ID |
moonshotai/kimi-k2.6
|
| Provider | moonshotai |
| Release Date | April 20, 2026 |
| Context Length | 262,144 tokens |
| Max Completion | 262,144 tokens |
| Status | Active |
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.55 | $0.000550 |
| Output | $3.20 | $0.003200 |
Live Performance
Live endpoint metrics, refreshed every 30 minutes.
External Resources
Explore Related Models
Frequently asked questions about MoonshotAI: Kimi K2.6
How much does MoonshotAI: Kimi K2.6 cost?
MoonshotAI: Kimi K2.6 costs $0.55 per million input tokens and $3.20 per million output tokens.
What is the context window of MoonshotAI: Kimi K2.6?
MoonshotAI: Kimi K2.6 has a context window of 262,144 tokens (262K).
Is MoonshotAI: Kimi K2.6 good for coding?
On our coding benchmark index, MoonshotAI: Kimi K2.6 ranks #26 of 129 models, placing it in the top quartile of the field for code generation and debugging.
What can MoonshotAI: Kimi K2.6 do?
MoonshotAI: Kimi K2.6 supports image/vision input, tool use, and function calling.
Who created MoonshotAI: Kimi K2.6?
MoonshotAI: Kimi K2.6 is developed by MoonshotAI and was released on April 20, 2026.
Data sourced from OpenRouter API, Artificial Analysis and Hugging Face Open LLM Leaderboard. Scores are editorially curated by our team.
Last updated: June 30, 2026 9:37 pm