How much does DeepSeek-R1 (May 2025) cost?

DeepSeek-R1 (May 2025) costs $0.75 per million input tokens and $2.45 per million output tokens, using the median price across hosting providers as of 26 Oct 2026. That is about $0.20 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 DeepSeek-R1 (May 2025)?

DeepSeek-R1 (May 2025) has a context window of 164K tokens, roughly 123,000 words of text read at once. A single answer can be up to 164K tokens long.

Is DeepSeek-R1 (May 2025) open source?

DeepSeek-R1 (May 2025) 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 DeepSeek-R1 (May 2025) compared with other AI models?

On the Epoch Capabilities Index, DeepSeek-R1 (May 2025) scores 141.1 (likely range 139.1 to 142.7), which ranks 116 of 270 models we track. On Arena's human-vote text board it is ranked 89 of 166. Scores close together are a tie in practice.

How does DeepSeek-R1 (May 2025) compare with Claude 3.7 Sonnet?

DeepSeek-R1 (May 2025) scores higher on 3 of 8 shared quality measures, Claude 3.7 Sonnet on 2. 3 measures are too close to call. DeepSeek-R1 (May 2025) costs about 80% less than Claude 3.7 Sonnet on a blended price of $1.18 against $6.00 per million tokens. See the full comparison for every measure.

How current are these numbers for DeepSeek-R1 (May 2025)?

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

DeepSeek-R1 (May 2025): Score, Price and Context Window

Where DeepSeek-R1 (May 2025) from DeepSeek ranks, what it costs and how much text it can read, in plain numbers with the sources.

Data updated 26 Oct 2026

DeepSeek
Open weights
Released May 2025

Its score range overlaps with Mistral Medium 3.5, 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: 141.1; Rank 116 of 270. Likely range 139.1 to 142.7.
Human preference: chat: 1421; Rank 89 of 166. 18,170 votes.
Human preference: coding: 1464; Rank 90 of 166. 2,690 votes.
Price per million tokens: $0.75 in / $2.45 out; Blended $1.18. Cached input $0.38. Median across hosting providers, checked 26 Oct 2026.
Context window: 164K tokens; About 123,000 words at once. One answer up to 164K tokens.
Weights: Open; The weights can be downloaded. Check the licence before commercial use.

Features listed by the price list: Tool use, Reasoning.

Try itDeepSeek in our AI tools directoryAI assistant and model platform for reasoning, coding, writing, and conversational work, with separately billed APIs.

How DeepSeek-R1 (May 2025) 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.

DeepSeek-R1 (May 2025) compared with all models we trackOverall capability: 141.1. Better than 57% of the other 269 models. Human preference: chat: 1421. Better than 46% of the other 165 models. Human preference: coding: 1464. Better than 46% of the other 165 models. Price: $1.18 per 1M. Cheaper than 48% of the other 200 priced models. Context window: 164K tokens. Larger context window than 36% of the other 198 models.

Overall capability141.1
Better than 57% of the other 269 modelsUpper half
Epoch Capabilities Index: one score that combines many tests.
Human preference: chat1421
Better than 46% of the other 165 models
How often people pick its answers over another model's on Arena.
Human preference: coding1464
Better than 46% of the other 165 models
How often people pick its answers to coding questions on Arena.
Price$1.18 per 1M
Cheaper than 48% of the other 200 priced models
Blended price per million tokens. Lower is better, so the cheapest models sit on the right.
Context window164K tokens
Larger context window than 36% 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 DeepSeek-R1 (May 2025) 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.

Aider Polyglot
225 coding exercises in six programming languages. The AI edits the code files and the exercise's tests decide pass or fail.
71.4%
Place 12 of 46
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.
76.3%
Place 94 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.
66.4%
Place 105 of 174
tied with 1 other
SimpleBench
Everyday common-sense and trick questions that most people answer correctly but AI models often get wrong.
40.8%
Place 51 of 80
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.
1.1%
Place 72 of 86

What it costs in everyday terms

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

100 chats: $0.20; 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: $0.07; 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: $1.18 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 DeepSeek-R1 (May 2025)

How much does DeepSeek-R1 (May 2025) cost?: DeepSeek-R1 (May 2025) costs $0.75 per million input tokens and $2.45 per million output tokens, using the median price across hosting providers as of 26 Oct 2026. That is about $0.20 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 DeepSeek-R1 (May 2025)?: DeepSeek-R1 (May 2025) has a context window of 164K tokens, roughly 123,000 words of text read at once. A single answer can be up to 164K tokens long.
Is DeepSeek-R1 (May 2025) open source?: DeepSeek-R1 (May 2025) 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 DeepSeek-R1 (May 2025) compared with other AI models?: On the Epoch Capabilities Index, DeepSeek-R1 (May 2025) scores 141.1 (likely range 139.1 to 142.7), which ranks 116 of 270 models we track. On Arena's human-vote text board it is ranked 89 of 166. Scores close together are a tie in practice.
How does DeepSeek-R1 (May 2025) compare with Claude 3.7 Sonnet?: DeepSeek-R1 (May 2025) scores higher on 3 of 8 shared quality measures, Claude 3.7 Sonnet on 2. 3 measures are too close to call. DeepSeek-R1 (May 2025) costs about 80% less than Claude 3.7 Sonnet on a blended price of $1.18 against $6.00 per million tokens. See the full comparison for every measure.
How current are these numbers for DeepSeek-R1 (May 2025)?: 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