How much does Claude Opus 4.1 cost?

Claude Opus 4.1 costs $15.00 per million input tokens and $75.00 per million output tokens, using the median price across hosting providers as of 26 Oct 2026. That is about $5.25 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 Claude Opus 4.1?

Claude Opus 4.1 has a context window of 200K tokens, roughly 150,000 words of text read at once. A single answer can be up to 32K tokens long.

Is Claude Opus 4.1 open source?

We list Claude Opus 4.1 as closed: it is used through its maker's apps or API and its weights are not published (Epoch AI lists its access as "API access").

How good is Claude Opus 4.1 compared with other AI models?

On the Epoch Capabilities Index, Claude Opus 4.1 scores 144.1 (likely range 141.8 to 146.6), which ranks 95 of 270 models we track. On Arena's human-vote text board it is ranked 63 of 166. Scores close together are a tie in practice.

How does Claude Opus 4.1 compare with Qwen3.7 Flash?

Qwen3.7 Flash scores higher on 3 of 4 shared quality measures, Claude Opus 4.1 on 0. 1 measure is too close to call. See the full comparison for every measure.

How current are these numbers for Claude Opus 4.1?

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

Claude Opus 4.1: Score, Price and Context Window

Where Claude Opus 4.1 from Anthropic ranks, what it costs and how much text it can read, in plain numbers with the sources.

Data updated 26 Oct 2026

Anthropic
Closed weights
Released Aug 2025

Its score range overlaps with Grok 4 Fast, the model just above it, so a small gap in rank is not a meaningful difference.

Skip if

Tight budgets: it is among the priciest quarter of models in the top half by score.

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

Key facts

Overall score: 144.1; Rank 95 of 270. Likely range 141.8 to 146.6.
Human preference: chat: 1450; Rank 63 of 166. 49,536 votes, at the "Thinking 16K" setting.
Human preference: coding: 1511; Rank 48 of 166. 9,918 votes, at the "Thinking 16K" setting.
Human preference: web pages: 1391; Rank 73 of 85. 6,929 votes.
Price per million tokens: $15.00 in / $75.00 out; Blended $30.00. Cached input $1.50. Median across hosting providers, checked 26 Oct 2026.
Context window: 200K tokens; About 150,000 words at once. One answer up to 32K tokens.
Weights: Closed; Used through the maker's apps or API (Epoch AI: API access).

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

Try itClaude in our AI tools directoryAnthropic's AI assistant for research, writing, code, files, and connected tasks, with free and paid plans.

How Claude Opus 4.1 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.

Claude Opus 4.1 compared with all models we trackOverall capability: 144.1. Better than 65% of the other 269 models. Human preference: chat: 1450. Better than 62% of the other 165 models. Human preference: coding: 1511. Better than 71% of the other 165 models. Human preference: web pages: 1391. Better than 14% of the other 84 models. Price: $30.00 per 1M. Cheaper than 3% of the other 200 priced models. Context window: 200K tokens. Larger context window than 39% of the other 198 models.

Overall capability144.1
Better than 65% of the other 269 modelsUpper half
Epoch Capabilities Index: one score that combines many tests.
Human preference: chat1450
Better than 62% of the other 165 modelsUpper half
How often people pick its answers over another model's on Arena.
Human preference: coding1511
Better than 71% of the other 165 modelsUpper half
How often people pick its answers to coding questions on Arena.
Human preference: web pages1391
Better than 14% of the other 84 models
How often people pick the web pages and small apps it builds on Arena.
Price$30.00 per 1M
Cheaper than 3% of the other 200 priced models
Blended price per million tokens. Lower is better, so the cheapest models sit on the right.
Context window200K tokens
Larger context window than 39% of the other 198 models
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 Claude Opus 4.1 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.

SimpleBench
Everyday common-sense and trick questions that most people answer correctly but AI models often get wrong.
60.0%
Place 26 of 80
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.
77.3%
Place 91 of 183
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.
38.0%
Place 13 of 25
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.
68.9%
Place 101 of 174
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.
73.3%
Place 20 of 32
Humanity's Last Exam
A large set of very hard, expert-written questions across many subjects, built to stay difficult for top AI models.
11.5%
Place 27 of 41
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.
12.6%
Place 81 of 87

What it costs in everyday terms

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

100 chats: $5.25; 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: $1.50; 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: $30.00 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 Claude Opus 4.1

How much does Claude Opus 4.1 cost?: Claude Opus 4.1 costs $15.00 per million input tokens and $75.00 per million output tokens, using the median price across hosting providers as of 26 Oct 2026. That is about $5.25 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 Claude Opus 4.1?: Claude Opus 4.1 has a context window of 200K tokens, roughly 150,000 words of text read at once. A single answer can be up to 32K tokens long.
Is Claude Opus 4.1 open source?: We list Claude Opus 4.1 as closed: it is used through its maker's apps or API and its weights are not published (Epoch AI lists its access as "API access").
How good is Claude Opus 4.1 compared with other AI models?: On the Epoch Capabilities Index, Claude Opus 4.1 scores 144.1 (likely range 141.8 to 146.6), which ranks 95 of 270 models we track. On Arena's human-vote text board it is ranked 63 of 166. Scores close together are a tie in practice.
How does Claude Opus 4.1 compare with Qwen3.7 Flash?: Qwen3.7 Flash scores higher on 3 of 4 shared quality measures, Claude Opus 4.1 on 0. 1 measure is too close to call. See the full comparison for every measure.
How current are these numbers for Claude Opus 4.1?: 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