How much does Llama 3.1-405B cost?

Llama 3.1-405B costs $2.40 per million input tokens and $2.40 per million output tokens, using the median price across hosting providers as of 26 Oct 2026. That is about $0.36 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 Llama 3.1-405B?

Llama 3.1-405B has a context window of 128K tokens, roughly 96,000 words of text read at once. A single answer can be up to 131K tokens long.

Is Llama 3.1-405B open source?

Llama 3.1-405B 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 Llama 3.1-405B compared with other AI models?

On the Epoch Capabilities Index, Llama 3.1-405B scores 128.8 (likely range 124.4 to 130.6), which ranks 167 of 270 models we track. On Arena's human-vote text board it is ranked 131 of 166. Scores close together are a tie in practice.

How does Llama 3.1-405B compare with GPT-4o (Aug 2024)?

Llama 3.1-405B scores higher on 3 of 6 shared quality measures, GPT-4o (Aug 2024) on 0. 3 measures are too close to call. Llama 3.1-405B costs about 45% less than GPT-4o (Aug 2024) on a blended price of $2.40 against $4.38 per million tokens. See the full comparison for every measure.

How current are these numbers for Llama 3.1-405B?

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

Llama 3.1-405B: Score, Price and Context Window

Where Llama 3.1-405B from Meta ranks, what it costs and how much text it can read, in plain numbers with the sources.

Data updated 26 Oct 2026

Meta
Open weights
Released Jul 2024

Its score range overlaps with GPT-4o (Aug 2024), 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).

Skip if

Cutting-edge tasks: its overall Epoch score is in the lower part of the models we track.

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

Key facts

Overall score: 128.8; Rank 167 of 270. Likely range 124.4 to 130.6.
Human preference: chat: 1336; Rank 131 of 166. 41,375 votes.
Human preference: coding: 1376; Rank 129 of 166. 6,249 votes.
Price per million tokens: $2.40 in / $2.40 out; Blended $2.40. Median across hosting providers, checked 26 Oct 2026.
Context window: 128K tokens; About 96,000 words at once. One answer up to 131K tokens.
Weights: Open; The weights can be downloaded. Check the licence before commercial use.

Features listed by the price list: Tool use.

Try itMeta AI in our AI tools directoryMeta's AI assistant for everyday questions, conversation, writing, and image-based creativity in supported apps.

How Llama 3.1-405B 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.

Llama 3.1-405B compared with all models we trackOverall capability: 128.8. Better than 38% of the other 269 models. Human preference: chat: 1336. Better than 21% of the other 165 models. Human preference: coding: 1376. Better than 22% of the other 165 models. Price: $2.40 per 1M. Cheaper than 33% of the other 200 priced models. Context window: 128K tokens. Larger context window than 19% of the other 198 models.

Overall capability128.8
Better than 38% of the other 269 models
Epoch Capabilities Index: one score that combines many tests.
Human preference: chat1336
Better than 21% of the other 165 models
How often people pick its answers over another model's on Arena.
Human preference: coding1376
Better than 22% of the other 165 models
How often people pick its answers to coding questions on Arena.
Price$2.40 per 1M
Cheaper than 33% of the other 200 priced models
Blended price per million tokens. Lower is better, so the cheapest models sit on the right.
Context window128K tokens
Larger context window than 19% 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 Llama 3.1-405B 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.
50.9%
Place 136 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.
9.7%
Place 137 of 174
SimpleBench
Everyday common-sense and trick questions that most people answer correctly but AI models often get wrong.
23.0%
Place 70 of 80

What it costs in everyday terms

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

100 chats: $0.36; 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: $0.24; 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: $2.40 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 Llama 3.1-405B

How much does Llama 3.1-405B cost?: Llama 3.1-405B costs $2.40 per million input tokens and $2.40 per million output tokens, using the median price across hosting providers as of 26 Oct 2026. That is about $0.36 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 Llama 3.1-405B?: Llama 3.1-405B has a context window of 128K tokens, roughly 96,000 words of text read at once. A single answer can be up to 131K tokens long.
Is Llama 3.1-405B open source?: Llama 3.1-405B 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 Llama 3.1-405B compared with other AI models?: On the Epoch Capabilities Index, Llama 3.1-405B scores 128.8 (likely range 124.4 to 130.6), which ranks 167 of 270 models we track. On Arena's human-vote text board it is ranked 131 of 166. Scores close together are a tie in practice.
How does Llama 3.1-405B compare with GPT-4o (Aug 2024)?: Llama 3.1-405B scores higher on 3 of 6 shared quality measures, GPT-4o (Aug 2024) on 0. 3 measures are too close to call. Llama 3.1-405B costs about 45% less than GPT-4o (Aug 2024) on a blended price of $2.40 against $4.38 per million tokens. See the full comparison for every measure.
How current are these numbers for Llama 3.1-405B?: 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