Kimi K2.6 Legacy
Kimi K2.6 is a model from Moonshot AI, listed under Language models. It was released on Apr 20, 2026. It accepts up to 256k tokens per request. Moonshot AI points to Kimi K3 as its replacement.
Still available, but superseded by a newer model.
Recommended replacement: Kimi K3
- Headline price
- No data
- Context window
- 256k tokens
Current prices
No public API price
This model is distributed as open weights. Running cost depends on your own hardware.
Price history
No price change recorded for this model yet.
How it compares
Show data
| Model | Value |
|---|---|
| GPT-6 Astra | 1.05M |
| GPT-6.1 Sol | 1.05M |
| GPT-6 Luna | 1.05M |
| GPT-6 Sol | 1.05M |
| GPT-5.6 Sol | 1.05M |
| GPT-5.6 Terra | 1.05M |
| GPT-5.6 Luna | 1.05M |
| GPT-6 Astra Pro | 1.05M |
| GPT-6 Luna Pro | 1.05M |
| GPT-6 Sol Pro | 1.05M |
| GPT-6.1 Sol Pro | 1.05M |
| GPT-6.1 Terra | 1.05M |
| GPT-6.1 Terra Pro | 1.05M |
| GPT-5.4 | 1.05M |
| GPT-5.4 Pro | 1.05M |
| GPT-5.5 | 1.05M |
| GPT-5.5 Pro | 1.05M |
| Gemini 4 Argon | 1.05M |
| Gemini 3.8 Flash | 1.05M |
| Gemini Omni Flash | 1.05M |
| Muse Wonder | 1.05M |
| Gemini 3.5 Flash-Lite | 1.05M |
| Gemini 3.7 Flash | 1.05M |
| DeepSeek V4 Flash 0731 | 1.05M |
| Muse Spark 1.3 | 1.05M |
| Kimi K3.1 Pro | 1.05M |
| Qwen3.8 2.4T A95B | 1.05M |
| Gemini 3.1 Pro | 1.05M |
| DeepSeek V4 Flash Vision Exp | 1.05M |
| Gemini 3.6 Flash | 1.05M |
| Gemini 3.1 Flash-Lite | 1.05M |
| Gemini 3 Flash | 1.05M |
| Gemini 2.5 Pro | 1.05M |
| Gemini 2.5 Flash | 1.05M |
| Gemini 2.5 Flash-Lite | 1.05M |
| Muse Spark 1.1 | 1.05M |
| Muse Spark 1.2 | 1.05M |
| GPT-4.1 | 1.05M |
| GPT-4.1 Mini | 1.05M |
| GPT-4.1 nano | 1.05M |
| Claude Fable 5.1 | 1M |
| Claude Opus 5.5 | 1M |
| Claude Sonnet 5.5 | 1M |
| Claude Haiku 5.5 | 1M |
| Grok 4.3 | 1M |
| DeepSeek V4 Pro | 1M |
| DeepSeek V4.1 Flash | 1M |
| Kimi K3 | 1M |
| Claude Mythos 5.1 | 1M |
| Grok 4.20 Reasoning | 1M |
| Grok 4.20 Non-Reasoning | 1M |
| Grok 4.20 Multi-Agent | 1M |
| Z.ai GLM 5.3 (on Mistral) | 1M |
| Qwen3.8 27B | 1M |
| Qwen3.8 Max Prime | 1M |
| Mistral Large 4 | 1M |
| Claude Fable 5 | 1M |
| Claude Mythos 5 | 1M |
| Claude Opus 5 | 1M |
| Claude Sonnet 5 | 1M |
| Claude Opus 4.8 | 1M |
| Claude Opus 4.7 | 1M |
| Claude Opus 4.6 | 1M |
| Claude Sonnet 4.6 | 1M |
| Grok 4.7 | 500k |
| Grok 4.6 | 500k |
| Grok 4.5 | 500k |
| GPT-5.6 Cyber | 400k |
| Chat Latest | 400k |
| GPT-5 | 400k |
| GPT-5 Mini | 400k |
| GPT-5 nano | 400k |
| GPT-5 Pro | 400k |
| GPT-5.2 | 400k |
| GPT-5.2 Pro | 400k |
| GPT-5.4 Mini | 400k |
| GPT-5-Codex | 400k |
| GPT-5.1 | 400k |
| GPT-5.1-Codex | 400k |
| GPT-5.1-Codex Mini | 400k |
| GPT-5.1-Codex-Max | 400k |
| GPT-5.2-Codex | 400k |
| GPT-5.3-Codex | 400k |
| GPT-5.4 nano | 400k |
| Grok Build 0.1 | 256k |
| Mistral Medium 3.5 | 256k |
| Mistral Small 4 | 256k |
| Ministral 3 14B | 256k |
| Ministral 3 8B | 256k |
| Ministral 3 3B | 256k |
| Command A | 256k |
| Command A Reasoning | 256k |
| North Mini Code | 256k |
| Kimi K2.7 Code | 256k |
| Mistral Large 3 | 256k |
| Claude Opus 4.5 | 200k |
| Claude Haiku 4.5 | 200k |
| o3 | 200k |
| o3-pro | 200k |
| Claude Sonnet 4.5 | 200k |
| codex-mini-latest | 200k |
| o1 | 200k |
| o1-pro | 200k |
| o3-deep-research | 200k |
| o3-mini | 200k |
| o4-mini | 200k |
| o4-mini-deep-research | 200k |
| gpt-oss-120b | 131k |
| gpt-oss-20b | 131k |
| Command A+ | 128k |
| Codestral | 128k |
| Aya Expanse 32B | 128k |
| Command A Vision | 128k |
| Command R7B | 128k |
| Command R (08-2024) | 128k |
| Command R+ (08-2024) | 128k |
| ChatGPT-4o | 128k |
| GPT-4 Turbo | 128k |
| GPT-4 Turbo Preview | 128k |
| GPT-4.5 Preview | 128k |
| GPT-4o | 128k |
| GPT-4o Mini | 128k |
| GPT-4o Mini Search Preview | 128k |
| GPT-4o Search Preview | 128k |
| GPT-5 Chat | 128k |
| GPT-5.1 Chat | 128k |
| GPT-5.2 Chat | 128k |
| GPT-5.3 Chat | 128k |
| o1 Preview | 128k |
| o1-mini | 128k |
| Command R | 128k |
| Command R+ | 128k |
| Voxtral Small | 32k |
| GPT-3.5 Turbo | 16k |
| babbage-002 | 16k |
| davinci-002 | 16k |
| Aya Vision 32B | 16k |
| computer-use-preview | 8k |
| GPT-4 | 8k |
| Tiny Aya Earth | 8k |
| Tiny Aya Global | 8k |
| Kimi K2.6 | 256k |
Benchmarks
| Benchmarks | Score |
|---|---|
| Intelligence Index Artificial Analysis's composite score across about ten independent evaluations (reasoning, knowledge, coding, agentic work, long context), run the same way for every model. The strongest models score in the 50s. | 27 |
| Terminal-Bench Hard Hard command-line tasks (building software, configuring systems, fixing environments) completed autonomously in a real terminal. A direct test of agentic coding. | 43.9% |
| SciCode Writing code to solve research-level problems in physics, chemistry, biology and maths, checked by tests. | 51.5% |
| GPQA Diamond Graduate-level questions in biology, physics and chemistry, written to be resistant to web search. PhD holders in the relevant field score around 65%, so scores above that indicate genuine domain reasoning rather than recall. | 91.1% |
| Humanity's Last Exam About 2,500 expert-written questions at the frontier of human knowledge across maths, science and the humanities. Even the best models answer well under two thirds. | 37.5% |
| IFBench (instruction following) Precise, verifiable formatting and content constraints the model has not seen in training. Measures how faithfully it follows instructions. | 76% |
| τ²-Bench (agentic tool use) Simulated customer-support conversations where the model must use tools and follow policy while a simulated user acts on their side. Measures reliable multi-turn tool use. | 95.9% |
| MMMU-Pro (visual reasoning) College-level questions that require reading charts, diagrams and figures, with distractors that defeat text-only guessing. | 79.4% |
| Long-context reasoning (AA-LCR) Questions that require reasoning across several long documents at once (around 100k tokens), not just finding one passage. | 81% |
Independent evaluations by Artificial Analysis, run the same way for every model, at the reasoning setting shown. Percentages unless marked as an index. Source
Alternatives
Same category, closest price, other providers first.
More from Moonshot AI
| # | Model | Input | Output | Context | Released | Capabilities | Price change |
|---|---|---|---|---|---|---|---|
| 1 |
Kimi K3
Moonshot AI
|
No data | No data | 1M | Jul 16, 2026 | ReasoningTool calling | |
| 2 |
Kimi K2.7 Code
Moonshot AI
|
No data | No data | 256k | Jun 12, 2026 | Tool calling | |
| 3 |
Kimi K3.1 Pro
Moonshot AI
|
$2.00 | $10.00 | 1.05M | Oct 23, 2026 | VisionReasoningTool calling |
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Frequently asked questions
What is the context window of Kimi K2.6?
Kimi K2.6 accepts up to 256k tokens per request.
Is Kimi K2.6 still available?
Yes, but Moonshot AI lists it as a legacy model and recommends newer ones. Moonshot AI points to Kimi K3 as its replacement.
When was Kimi K2.6 released?
Kimi K2.6 was released in Apr 20, 2026.
What is the API model ID for Kimi K2.6?
Use kimi-k2.6 when calling the Moonshot AI API.
What are the alternatives to Kimi K2.6?
Models in the same category at a similar price include Kimi K3 (Moonshot AI), Grok 4.3 (xAI), Command A+ (Cohere) and Grok Build 0.1 (xAI).