How much does DeepSeek Coder 6.7B cost?

DeepSeek Coder 6.7B costs $0.06 per million input tokens and $0.12 per million output tokens, using the list price from Llamagate as of 26 Oct 2026. That is about $0.01 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 Coder 6.7B?

DeepSeek Coder 6.7B has a context window of 16K tokens, roughly 12,000 words of text read at once. A single answer can be up to 4K tokens long.

Is DeepSeek Coder 6.7B open source?

DeepSeek Coder 6.7B 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 Coder 6.7B compared with other AI models?

On the Epoch Capabilities Index, DeepSeek Coder 6.7B scores 89.1 (likely range 72.4 to 98.1), which ranks 265 of 270 models we track. Scores close together are a tie in practice.

How does DeepSeek Coder 6.7B compare with Dolly 2.0-12b?

On quality, neither model leads clearly across the 1 measure both have. 1 measure is too close to call. See the full comparison for every measure.

How current are these numbers for DeepSeek Coder 6.7B?

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 Coder 6.7B: Score, Price and Context Window

Where DeepSeek Coder 6.7B 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 Nov 2023

Its score range overlaps with Dolly 2.0-12b, 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.
Long documents: its context window is only 16K tokens.

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

Key facts

Overall score: 89.1; Rank 265 of 270. Likely range 72.4 to 98.1.
Price per million tokens: $0.06 in / $0.12 out; Blended $0.075. List price from Llamagate, checked 26 Oct 2026.
Context window: 16K tokens; About 12,000 words at once. One answer up to 4K tokens.
Weights: Open; The weights can be downloaded. Check the licence before commercial use.

Features listed by the price list: Tool use, Structured output.

We do not have an Arena human-vote rating and benchmark results for DeepSeek Coder 6.7B yet. It is shown as "Not measured" rather than guessed.

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

How DeepSeek Coder 6.7B 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 Coder 6.7B compared with all models we trackOverall capability: 89.1. Better than 1% of the other 269 models. Price: $0.075 per 1M. Cheaper than 98% of the other 200 priced models. Context window: 16K tokens. Larger context window than 6% of the other 198 models.

Overall capability89.1
Better than 1% of the other 269 models
Epoch Capabilities Index: one score that combines many tests.
Price$0.075 per 1M
Cheaper than 98% of the other 200 priced modelsTop 10%
Blended price per million tokens. Lower is better, so the cheapest models sit on the right.
Context window16K tokens
Larger context window than 6% 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 Coder 6.7B ranks

Leaderboards it appears on, best placing first.

See all leaderboards

What it costs in everyday terms

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

100 chats: $0.01; 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: less than $0.01; 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: $0.075 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 Coder 6.7B

How much does DeepSeek Coder 6.7B cost?: DeepSeek Coder 6.7B costs $0.06 per million input tokens and $0.12 per million output tokens, using the list price from Llamagate as of 26 Oct 2026. That is about $0.01 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 Coder 6.7B?: DeepSeek Coder 6.7B has a context window of 16K tokens, roughly 12,000 words of text read at once. A single answer can be up to 4K tokens long.
Is DeepSeek Coder 6.7B open source?: DeepSeek Coder 6.7B 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 Coder 6.7B compared with other AI models?: On the Epoch Capabilities Index, DeepSeek Coder 6.7B scores 89.1 (likely range 72.4 to 98.1), which ranks 265 of 270 models we track. Scores close together are a tie in practice.
How does DeepSeek Coder 6.7B compare with Dolly 2.0-12b?: On quality, neither model leads clearly across the 1 measure both have. 1 measure is too close to call. See the full comparison for every measure.
How current are these numbers for DeepSeek Coder 6.7B?: 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.
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