How much does Inkling-Small cost?

Inkling-Small costs $0.47 per million input tokens and $1.20 per million output tokens, using the median price across hosting providers as of 26 Oct 2026. That is about $0.11 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 Inkling-Small?

Inkling-Small has a context window of 1M tokens, roughly 786,000 words of text read at once. A single answer can be up to 33K tokens long.

Is Inkling-Small open source?

Inkling-Small 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 Inkling-Small compared with other AI models?

On the Epoch Capabilities Index, Inkling-Small scores 150.3 (likely range 147.2 to 152.1), which ranks 57 of 270 models we track. On Arena's human-vote text board it is ranked 99 of 166. Scores close together are a tie in practice.

How does Inkling-Small compare with Claude Opus 4.5?

On quality, neither model leads clearly across the 9 measures both have. 1 measure is too close to call. Inkling-Small costs about 93% less than Claude Opus 4.5 on a blended price of $0.66 against $10.00 per million tokens. See the full comparison for every measure.

How current are these numbers for Inkling-Small?

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

Inkling-Small: Score, Price and Context Window

Where Inkling-Small from Thinking Machines ranks, what it costs and how much text it can read, in plain numbers with the sources.

Data updated 26 Oct 2026

Thinking Machines
Open weights
Released Jul 2026

Its score range overlaps with GPT-5 Pro, the model just above it, so a small gap in rank is not a meaningful difference.

Best for

Very long documents: its context window is 1M tokens, roughly 786,000 words.
Keeping costs low: it is among the cheapest quarter of models in the top half by score.
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: 150.3; Rank 57 of 270. Likely range 147.2 to 152.1.
Human preference: chat: 1405; Rank 99 of 166. 35,359 votes.
Human preference: coding: 1471; Rank 88 of 166. 9,560 votes.
Human preference: web pages: 1409; Rank 66 of 85. 5,329 votes.
Human preference: images: 1209; Rank 61 of 85. 8,074 votes.
Price per million tokens: $0.47 in / $1.20 out; Blended $0.66. Cached input $0.10. Median across hosting providers, checked 26 Oct 2026.
Context window: 1M tokens; About 786,000 words at once. One answer up to 33K 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.

How Inkling-Small 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.

Inkling-Small compared with all models we trackOverall capability: 150.3. Better than 79% of the other 269 models. Human preference: chat: 1405. Better than 40% of the other 165 models. Human preference: coding: 1471. Better than 47% of the other 165 models. Human preference: web pages: 1409. Better than 22% of the other 84 models. Human preference: images: 1209. Better than 28% of the other 84 models. Price: $0.66 per 1M. Cheaper than 63% of the other 200 priced models. Context window: 1M tokens. Larger context window than 84% of the other 198 models.

Overall capability150.3
Better than 79% of the other 269 modelsTop 25%
Epoch Capabilities Index: one score that combines many tests.
Human preference: chat1405
Better than 40% of the other 165 models
How often people pick its answers over another model's on Arena.
Human preference: coding1471
Better than 47% of the other 165 models
How often people pick its answers to coding questions on Arena.
Human preference: web pages1409
Better than 22% of the other 84 models
How often people pick the web pages and small apps it builds on Arena.
Human preference: images1209
Better than 28% of the other 84 models
How often people pick its answers about pictures on Arena.
Price$0.66 per 1M
Cheaper than 63% of the other 200 priced modelsUpper half
Blended price per million tokens. Lower is better, so the cheapest models sit on the right.
Context window1M tokens
Larger context window than 84% of the other 198 modelsTop 25%
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 Inkling-Small 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.

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.
88.5%
Place 50 of 183
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.
90.0%
Place 58 of 174
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.
40.1%
Place 39 of 86
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.
46.3%
Place 54 of 87
SimpleQA Verified
Short factual questions that each have one correct answer. It measures how often a model gets facts right.
19.1%
Place 72 of 82

What it costs in everyday terms

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

100 chats: $0.11; 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: $0.05; 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: $0.66 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 Inkling-Small

How much does Inkling-Small cost?: Inkling-Small costs $0.47 per million input tokens and $1.20 per million output tokens, using the median price across hosting providers as of 26 Oct 2026. That is about $0.11 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 Inkling-Small?: Inkling-Small has a context window of 1M tokens, roughly 786,000 words of text read at once. A single answer can be up to 33K tokens long.
Is Inkling-Small open source?: Inkling-Small 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 Inkling-Small compared with other AI models?: On the Epoch Capabilities Index, Inkling-Small scores 150.3 (likely range 147.2 to 152.1), which ranks 57 of 270 models we track. On Arena's human-vote text board it is ranked 99 of 166. Scores close together are a tie in practice.
How does Inkling-Small compare with Claude Opus 4.5?: On quality, neither model leads clearly across the 9 measures both have. 1 measure is too close to call. Inkling-Small costs about 93% less than Claude Opus 4.5 on a blended price of $0.66 against $10.00 per million tokens. See the full comparison for every measure.
How current are these numbers for Inkling-Small?: 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