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AI Rankings

Kimi K2.5: Score, Price and Context Window

Where Kimi K2.5 from Moonshot AI ranks, what it costs and how much text it can read, in plain numbers with the sources.

Data updated

  • Moonshot AI
  • Open weights
  • Released Jan 2026

Its score range overlaps with Inkling, 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
148.1
Rank 69 of 270. Likely range 146.6 to 149.5.
Human preference: chat
1450
Rank 62 of 166. 74,744 votes, at the "Thinking" setting.
Human preference: coding
1504
Rank 57 of 166. 1,870 votes.
Human preference: web pages
1437
Rank 59 of 85. 20,102 votes, at the "Thinking" setting.
Human preference: images
1252
Rank 41 of 85. 28,249 votes, at the "Thinking" setting.
Price per million tokens
$0.60 in / $3.00 out
Blended $1.20. Cached input $0.10. 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, Structured output.

How Kimi K2.5 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 K2.5 compared with all models we trackOverall capability: 148.1. Better than 74% of the other 269 models. Human preference: chat: 1450. Better than 63% of the other 165 models. Human preference: coding: 1504. Better than 66% of the other 165 models. Human preference: web pages: 1437. Better than 30% of the other 84 models. Human preference: images: 1252. Better than 52% of the other 84 models. Price: $1.20 per 1M. Cheaper than 47% of the other 200 priced models. Context window: 262K tokens. Larger context window than 50% of the other 198 models.
  • Overall capability148.1

    Better than 74% of the other 269 modelsUpper half

    Epoch Capabilities Index: one score that combines many tests.

  • Human preference: chat1450

    Better than 63% of the other 165 modelsUpper half

    How often people pick its answers over another model's on Arena.

  • Human preference: coding1504

    Better than 66% of the other 165 modelsUpper half

    How often people pick its answers to coding questions on Arena.

  • Human preference: web pages1437

    Better than 30% of the other 84 models

    How often people pick the web pages and small apps it builds on Arena.

  • Human preference: images1252

    Better than 52% of the other 84 modelsUpper half

    How often people pick its answers about pictures on Arena.

  • Price$1.20 per 1M

    Cheaper than 47% 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.

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.

    92.2%

    Place 52 of 174

  • 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.

  • Terminal-Bench

    Tasks done in a computer terminal, such as setting up software or fixing a broken build, checked by automatic tests. Scores here use the benchmark's standard reference agent so models are compared on the same footing.

  • Humanity's Last Exam

    A large set of very hard, expert-written questions across many subjects, built to stay difficult for top AI models.

  • SimpleBench

    Everyday common-sense and trick questions that most people answer correctly but AI models often get wrong.

    46.8%

    Place 41 of 80

    tied with 1 other

  • SWE-bench Verified

    Real bug reports from open-source software projects. The AI has to change the code so the project's own tests pass. The tasks were checked by people.

    73.8%

    Place 17 of 32

    tied with 1 other

  • ARC-AGI-2

    Visual puzzles where the AI must work out a new rule from a few examples and apply it. They test picking up a new idea quickly, not recalling facts.

  • SimpleQA Verified

    Short factual questions that each have one correct answer. It measures how often a model gets facts right.

What it costs in everyday terms

List prices turned into amounts you can picture. Real bills depend on how you use it.
100 chats
$0.21
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
$0.06
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
$1.20 per 1M
Three parts input to one part output. Our own calculation for comparing models.

Assumptions: 100 chats of about 1,000 tokens in and 500 tokens back. a 300-page book of about 100,000 tokens, read once with no reply.

Questions about Kimi K2.5

How much does Kimi K2.5 cost?
Kimi K2.5 costs $0.60 per million input tokens and $3.00 per million output tokens, using the list price from Moonshot AI as of 26 Oct 2026. That is about $0.21 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 K2.5?
Kimi K2.5 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 K2.5 open source?
Kimi K2.5 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 K2.5 compared with other AI models?
On the Epoch Capabilities Index, Kimi K2.5 scores 148.1 (likely range 146.6 to 149.5), which ranks 69 of 270 models we track. On Arena's human-vote text board it is ranked 62 of 166. Scores close together are a tie in practice.
How does Kimi K2.5 compare with Inkling?
On quality, neither model leads clearly across the 9 measures both have. 3 measures are too close to call. Kimi K2.5 costs about 32% less than Inkling on a blended price of $1.20 against $1.76 per million tokens. See the full comparison for every measure.
How current are these numbers for Kimi K2.5?
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

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