+21.8% over Kimi K2.6 on Kimi Code Bench v2 while using roughly 30% fewer thinking tokens
Only 32B active params per token — fast and cheap to serve at $0.95/$4.00 per 1M (cache hits $0.19)
Modified MIT license with weights on Hugging Face; pairs with the Kimi Code terminal CLI
Weaknesses
256K context is a quarter of what 2026 rivals offer for large-repo agent work
Headline gains are on Moonshot's own in-house benchmark; general reasoning lags the Western frontier
Real-world use cases
What people actually use Kimi K2.7 Code for.
Agentic coding with the Kimi Code terminal CLI at $0.95/1M input
High-volume code review and refactoring where thinking-token burn matters (~30% fewer than K2.6)
Self-hosted coding infra under a modified MIT license
How Kimi K2.7 Code compares
The nearest models people weigh against it, and what actually separates them.
vs Claude Haiku 5.5 — Against Claude Haiku 5.5 (Anthropic), Kimi K2.7 Code costs about 88% more per token, gives up 3.9x on context and answers slower. Claude Haiku 5.5 is the one to check first if the price difference matters more than the ceiling.
vs Codestral 25.01 — Against Codestral 25.01 (Mistral), Kimi K2.7 Code costs about 27% more per token and answers slower. Codestral 25.01 is the one to check first if the price difference matters more than the ceiling.
vs DeepSeek V4-Flash — Against DeepSeek V4-Flash (DeepSeek), Kimi K2.7 Code costs about 92% more per token and gives up 3.9x on context. DeepSeek V4-Flash is the one to check first if the price difference matters more than the ceiling.
Price History
Kimi K2.7 Code pricing over time
→0% since Aug 7
87 data points · tracked daily since Aug 7, 2026
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Start using Kimi K2.7 Code
Cost-efficient agentic coding. Start free — no card required.
Anthropic's October 7, 2026 low-cost model and the first Haiku with adjustable reasoning effort — thinking can be switched off for simple requests or raised to max, at $0.10/$0.50 per 1M under 100K input tokens.
Verdict
Anthropic's budget model, now with adjustable reasoning, at $0.10/$0.50.
Quality score
82%
Pricing
$0.10/1M in
$0.50/1M out
Speed
Very fast
5/5 speed
Context
1M tokens
Announced September 28, 2026 alongside Sonnet 5.5; generally available October 7, 2026. Gateway id anthropic/claude-haiku-5.5. Tiered pricing: $0.10/$0.50 per 1M up to 100K input tokens, $0.50/$2.50 above. 1,000,000 context, 128,000 max output. Launch figures as reported by Anthropic: Terminal-Bench 4.0 39.2 (max effort), 31.6 (extra), 12.8 (low); OSWorld 2.1 offline subset 72.4 (Haiku 4.5: 15.7). Verified October 10, 2026.
BudgetFastHigh volumeSub-agentsNew
Best for
High-volume tool use, sub-agents and everyday tasks on a tight budget
A 284B-parameter (13B active) MoE workhorse re-post-trained for agentic and coding tasks — beats the V4-Pro preview on every published agent benchmark at ultra-commodity pricing.
Verdict
Retired September 10, 2026 — replaced by DeepSeek V4.1 Flash.
Quality score
76%
Pricing
$0.14/1M in
$0.28/1M out
Speed
Fast
4/5 speed
Context
1M tokens
Official V4-Flash-0731 release July 31, 2026; weights on Hugging Face, API in public beta. Only DeepSeek model supporting the Responses API. DeepSeek has warned of a future price increase.
Kimi K2.7 Code costs $0.95 per million input tokens and $4 per million output tokens on the API, with cached input at $0.19 per million. A month of 10M input and 2M output tokens runs about $17.50 at list price, before any batch or caching discounts.
What is the context window of Kimi K2.7 Code?
Kimi K2.7 Code has a 256k tokens context window, with up to 33k tokens of output per response. That is the total of prompt plus response the model can hold in one request.
What is the knowledge cutoff of Kimi K2.7 Code?
Kimi K2.7 Code's training data runs through January 2025, and the model was released on June 12, 2026. For anything after that date it needs web search or documents in the prompt.
What is Kimi K2.7 Code best for?
Kimi K2.7 Code is best for cost-efficient agentic coding. It is a strong fit when that workflow matters more than the tradeoffs around budget pricing and fast speed.
When should I avoid Kimi K2.7 Code?
Your agent needs big-repo context (256K cap) or frontier general reasoning.
What is a cheaper alternative to Kimi K2.7 Code?
Codestral 25.01 (Mistral) at $0.90/1M/1M input against Kimi K2.7 Code's $0.95/1M/1M — roughly 27% less per token all in. Best budget-focused coding specialist for high-volume developer teams. Compare it first if Kimi K2.7 Code's pricing is the thing stopping you.
What is a faster alternative to Kimi K2.7 Code?
Claude Haiku 5.5 — very fast against Kimi K2.7 Code's fast, with 1M tokens of context. Worth the swap when response time is what your users notice rather than the last few points of reasoning depth.
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