Kimi K2.6

Moonshot AI - kimi-k2.6

8.2/10

Provisional 0 practitioner reviews Source verified

Data source: This model page uses public provider documentation, pricing/context data, benchmark signals where available, and manual curation. Practitioner reviews are listed separately below and do not change the score until approved.

Context window

256,000 tokens

Input price

$0.95/1M

Output price

$4/1M

Checked

May 16, 2026

Pricing caveat: Moonshot lists cache-hit pricing separately at $0.16 per 1M tokens.

Decision Notes

Best for

  • - Agentic coding workflows where Kimi-specific behavior has been tested
  • - Long-context codebase work under a 256K-token budget
  • - Teams that can benefit from lower input pricing and cache-hit economics

Avoid when

  • - Workloads needing 1M-token context windows
  • - Teams without time to validate provider-specific model behavior and rate limits

Cost example

1M input tokens plus 200K output tokens costs about $1.75 before cache-hit discounts.

Dimension Breakdown

Tool Calling 9/10

Reliability of function/tool calling — correct schema adherence and parameter extraction

Cost Efficiency 8/10

Price per token relative to output quality for agent tasks

Latency 7/10

Response time — time to first token and total generation time under load

API Reliability 8/10

Uptime, rate limit headroom, and error rates in production

Context Quality 9/10

Long-context coherence and instruction following over turns

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Top Use Cases

Coding RAG Financial

Summary

Moonshot model aimed at agentic coding and long-context workflows. It has attractive input pricing but a smaller context window than the 1M-token leaders.

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Last updated: May 16, 2026