How much does Kimi K2.7 Code cost?

Kimi K2.7 Code costs $0.95 per million input tokens and $4.00 per million output tokens, using the list price from Moonshot AI as of 26 Oct 2026. That is about $0.29 for 100 chats of about 1,000 tokens in and 500 tokens back. Confirm on the maker's site before you buy, because prices change.

What is the context window of Kimi K2.7 Code?

Kimi K2.7 Code has a context window of 262K tokens, roughly 197,000 words of text read at once. A single answer can be up to 262K tokens long.

Is Kimi K2.7 Code open source?

Kimi K2.7 Code has open weights: its trained parameters can be downloaded. That is not always the same as open source, because licence terms differ, so read the licence before you use it commercially.

How good is Kimi K2.7 Code compared with other AI models?

On the Epoch Capabilities Index, Kimi K2.7 Code scores 150.1 (likely range 148.2 to 151.8), which ranks 58 of 270 models we track. Scores close together are a tie in practice.

How does Kimi K2.7 Code compare with Claude Opus 4.5?

Claude Opus 4.5 scores higher on 3 of 7 shared quality measures, Kimi K2.7 Code on 2. 2 measures are too close to call. Kimi K2.7 Code costs about 83% less than Claude Opus 4.5 on a blended price of $1.71 against $10.00 per million tokens. See the full comparison for every measure.

How current are these numbers for Kimi K2.7 Code?

The newest data on this page is dated 26 Oct 2026. Scores come from Epoch AI and Arena, prices from the open LiteLLM price list.

AI Rankings

Kimi K2.7 Code: Score, Price and Context Window

Where Kimi K2.7 Code from Moonshot AI ranks, what it costs and how much text it can read, in plain numbers with the sources.

Data updated 26 Oct 2026

Moonshot AI
Open weights
Released Jun 2026

Its score range overlaps with Inkling-Small, the model just above it, so a small gap in rank is not a meaningful difference.

Best for

Running it yourself: its weights can be downloaded (read the licence terms first).

These lines are worked out from the numbers on this page, not from hands-on testing.

Key facts

Overall score: 150.1; Rank 58 of 270. Likely range 148.2 to 151.8.
Human preference: web pages: 1474; Rank 52 of 85. 4,961 votes.
Price per million tokens: $0.95 in / $4.00 out; Blended $1.71. Cached input $0.19. List price from Moonshot AI, checked 26 Oct 2026.
Context window: 262K tokens; About 197,000 words at once. One answer up to 262K tokens.
Weights: Open; The weights can be downloaded. Check the licence before commercial use.

Features listed by the price list: Image input, Tool use, Reasoning, Prompt caching, Structured output.

We do not have an Arena human-vote rating for Kimi K2.7 Code yet. It is shown as "Not measured" rather than guessed.

Try itKimi in our AI tools directoryAI assistant for research, documents, presentations, coding, and agent-driven knowledge work.

How Kimi K2.7 Code stacks up

Each strip shows every model we track as faint bars. The dot is this model. Better is always to the right, even for price.

Kimi K2.7 Code compared with all models we trackOverall capability: 150.1. Better than 78% of the other 269 models. Human preference: web pages: 1474. Better than 39% of the other 84 models. Price: $1.71 per 1M. Cheaper than 41% of the other 200 priced models. Context window: 262K tokens. Larger context window than 50% of the other 198 models.

Overall capability150.1
Better than 78% of the other 269 modelsTop 25%
Epoch Capabilities Index: one score that combines many tests.
Human preference: web pages1474
Better than 39% of the other 84 models
How often people pick the web pages and small apps it builds on Arena.
Price$1.71 per 1M
Cheaper than 41% of the other 200 priced models
Blended price per million tokens. Lower is better, so the cheapest models sit on the right.
Context window262K tokens
Larger context window than 50% of the other 198 modelsUpper half
How much text it can read at once. Bigger suits long documents.

Compared with the other published models that have each measure. Data updated 26 Oct 2026.

Where Kimi K2.7 Code ranks

Leaderboards it appears on, best placing first.

See all leaderboards

Test results

Each test checks one kind of skill. Place shows where it stands among the models that took that test.

OTIS Mock AIME
Maths competition problems in the style of the US AIME exam, from the 2024 and 2025 sets. Every answer is a whole number.
95.6%
Place 38 of 174
tied with 3 others
GPQA Diamond
Very hard multiple-choice science questions in biology, physics and chemistry, written by experts and designed so a quick web search does not give the answer.
87.9%
Place 54 of 183
tied with 1 other
SimpleBench
Everyday common-sense and trick questions that most people answer correctly but AI models often get wrong.
57.9%
Place 29 of 80
FrontierMath (Tiers 1-3)
Original, very hard maths problems written by mathematicians. Each has an exact answer and the problems are kept private so models cannot have memorised them. This is the Tiers 1 to 3 set, version 2.
54.0%
Place 49 of 87
SimpleQA Verified
Short factual questions that each have one correct answer. It measures how often a model gets facts right.
36.5%
Place 51 of 82
DeepSWE
Software engineering tasks scored as the share solved on the first try (pass@1), run with the open mini-SWE-agent setup.
30.5%
Place 24 of 26

What it costs in everyday terms

List prices turned into amounts you can picture. Real bills depend on how you use it.

100 chats: $0.29; Cost of 100 chats assumes each chat sends 1,000 tokens (about 750 words) and gets 500 tokens (about 375 words) back.
A 300-page book: $0.10; Cost to read a 300-page book assumes about 100,000 input tokens and no reply. A real book varies with page size and language.
Blended price: $1.71 per 1M; Three parts input to one part output. Our own calculation for comparing models.

Similar models

Models from other makers with a similar overall score.

Learn more

Questions about Kimi K2.7 Code

How much does Kimi K2.7 Code cost?: Kimi K2.7 Code costs $0.95 per million input tokens and $4.00 per million output tokens, using the list price from Moonshot AI as of 26 Oct 2026. That is about $0.29 for 100 chats of about 1,000 tokens in and 500 tokens back. Confirm on the maker's site before you buy, because prices change.
What is the context window of Kimi K2.7 Code?: Kimi K2.7 Code has a context window of 262K tokens, roughly 197,000 words of text read at once. A single answer can be up to 262K tokens long.
Is Kimi K2.7 Code open source?: Kimi K2.7 Code has open weights: its trained parameters can be downloaded. That is not always the same as open source, because licence terms differ, so read the licence before you use it commercially.
How good is Kimi K2.7 Code compared with other AI models?: On the Epoch Capabilities Index, Kimi K2.7 Code scores 150.1 (likely range 148.2 to 151.8), which ranks 58 of 270 models we track. Scores close together are a tie in practice.
How does Kimi K2.7 Code compare with Claude Opus 4.5?: Claude Opus 4.5 scores higher on 3 of 7 shared quality measures, Kimi K2.7 Code on 2. 2 measures are too close to call. Kimi K2.7 Code costs about 83% less than Claude Opus 4.5 on a blended price of $1.71 against $10.00 per million tokens. See the full comparison for every measure.
How current are these numbers for Kimi K2.7 Code?: The newest data on this page is dated 26 Oct 2026. Scores come from Epoch AI and Arena, prices from the open LiteLLM price list.

Where this data comes from

Epoch AI: Benchmark data: Epoch AI, 'Capabilities & benchmarking', epoch.ai/benchmarks (CC BY 4.0). We match models across sources, rank them and show them in charts. Scores are not changed. Epoch AI does not endorse this site.
Arena (formerly LMArena): Human-preference ratings: Arena (arena.ai) leaderboard dataset, CC BY 4.0. We keep the latest published ratings, match them to models from other sources and rank them. Ratings are not changed. Arena does not endorse this site.
LiteLLM model price list: Prices and context windows: LiteLLM model price list (github.com/BerriAI/litellm, MIT licence). We use the model maker's own price entry when there is one. Prices change often, so always confirm on the maker's site before you buy.

Newest data on this page: 26 Oct 2026. Prices are list prices and change often, so confirm on the maker's site before you buy. Sponsors never change a score or an order. How we calculate this · Report a mistake