moonshotai

MoonshotAI: Kimi K2.6

MoonshotAI's Kimi K2.6 is designed for handling both text and image inputs, with a substantial context length of 262,144 tokens and a maximum completion capacity of the same token count. It supports reasoning and tools integration, making it versatile for complex tasks that require multi-modal input processing and practical tool utilization. While Kimi K2.6 offers robust capabilities, its pricing at $0.95 per million input tokens and $4.0 per million output tokens might be considered high by some users. However, with a blended benchmark score of 79.3 across four independent evaluations, it performs well in both AI Index and EQBench scores, particularly excelling in coding tasks with a perfect 100.0 score. Given its price point, it is best suited for those who require high-quality text and image processing alongside reasoning and tool support, especially when working on projects that demand detailed and accurate output.

Quality Score
100/100
price + capability + benchmarks
Input Price
$0.95
per 1M tokens
Output Price
$4.00
per 1M tokens
Context Window
262,144
tokens

Benchmark results

Independent, published benchmarks. Blended score 79.3 across 4 benchmarks, last refreshed 2026-08-13. How scoring works →

BenchmarkMeasuresScore
AI Index broad capability composite 74.5
AI Index Coding software engineering tasks 100.0
AI Index Agentic multi-step tool-using tasks 51.4
EQ-Bench emotional understanding in dialogue 76.6
Model ID
moonshotai/kimi-k2.6
Vendor
moonshotai
Released
April 2026
Tokenizer
Other
Input Modalities
text, image
Output Modalities
text
Max Output
262,144 tokens
Tool Calling
✓ supported
Structured Output
✓ supported
Reasoning Mode
✓ supported
Vision
✓ accepts images
Audio
no
Moderated
no

What it costs in practice

Computed from the current $0.95/M input and $4.00/M output rates. Run your own numbers →

JobTokensCost
Summarize a 50-page report 30k in / 1.5k out $0.03
Classify 1,000 customer emails 500k in / 50k out $0.68
A month of a busy support chatbot 5M in / 2M out $12.75

Price & spec history

Tracked daily by PicksByModel since 2026-07-17.

DateInput /MOutput /MContext
2026-08-10 $0.95 $4.00 262,144
2026-08-08 $0.58 $2.44 262,144
2026-08-04 $0.59 $2.48 262,144
2026-08-01 $0.60 $3.41 262,144
2026-07-31 $0.95 $4.00 262,144
2026-07-25 $0.65 $2.72 262,144
2026-07-19 $0.68 $3.42 262,144
2026-07-17 $0.95 $4.00 262,144

Strong choice for

Category rankings

Where MoonshotAI: Kimi K2.6 places across the 23 categories it ranks in. How we rank →

#CategoryScore
#5 Short-Form SummarizationWriting · of 25 ranked 131
#5 Email DraftingWriting · of 25 ranked 127
#5 Language LearningEducation · of 25 ranked 127
#5 Chat CompanionPersonal · of 25 ranked 131
#5 Trivia & General KnowledgePersonal · of 25 ranked 122
#7 Image CaptioningVision · of 25 ranked 121
#10 JSON ExtractionData · of 25 ranked 147
#14 Dataset AnnotationResearch · of 25 ranked 143
#15 Sales / Cold EmailBusiness · of 25 ranked 123
#15 Job Application DraftingBusiness · of 25 ranked 123
#15 Journaling HelperPersonal · of 25 ranked 123
#15 Recipe GenerationPersonal · of 25 ranked 123
#16 Customer SupportBusiness · of 25 ranked 133
#19 Bulk Data LabelingData · of 25 ranked 134
#19 Resume WritingBusiness · of 25 ranked 118
#21 Regex WritingCode · of 25 ranked 136
#21 Language TranslationWriting · of 25 ranked 136
#21 Tutoring for KidsPersonal · of 25 ranked 136
#23 Screenshot DebuggingVision · of 25 ranked 142
#25 Frontend Component DesignCode · of 25 ranked 146
#25 Marketing CopyWriting · of 25 ranked 131
#25 Standardized Test PrepEducation · of 25 ranked 131
#25 Chart & Graph ReadingVision · of 25 ranked 152

Similar models

Quick answers

How much does MoonshotAI: Kimi K2.6 cost?
$0.95 per million input tokens and $4.00 per million output tokens.
What is MoonshotAI: Kimi K2.6's context window?
262,144 tokens, roughly 393 pages of text in a single request.
Does MoonshotAI: Kimi K2.6 support tool calling?
It supports tool calling, structured output, a reasoning mode.
Can MoonshotAI: Kimi K2.6 process images?
Yes, it accepts image input.