How much does DeepSeek-Coder-V2-Lite-Base cost?

DeepSeek-Coder-V2-Lite-Base costs $0.50 per million input tokens and $0.50 per million output tokens, using the list price from Fireworks_ai as of 26 Oct 2026. That is about $0.07 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-V2-Lite-Base?

DeepSeek-Coder-V2-Lite-Base 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-Coder-V2-Lite-Base open source?

We list DeepSeek-Coder-V2-Lite-Base as closed: it is used through its maker's apps or API and its weights are not published (Epoch AI lists its access as "Unknown").

How good is DeepSeek-Coder-V2-Lite-Base compared with other AI models?

On the Epoch Capabilities Index, DeepSeek-Coder-V2-Lite-Base scores 108.7 (likely range 98.2 to 113.8), which ranks 227 of 270 models we track. Scores close together are a tie in practice.

How does DeepSeek-Coder-V2-Lite-Base compare with Mistral 7B v0.3?

On quality, neither model leads clearly across the 1 measure both have. 1 measure is too close to call. Mistral 7B v0.3 costs about 77% less than DeepSeek-Coder-V2-Lite-Base on a blended price of $0.11 against $0.50 per million tokens. See the full comparison for every measure.

How current are these numbers for DeepSeek-Coder-V2-Lite-Base?

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-V2-Lite-Base: Score, Price and Context Window

Where DeepSeek-Coder-V2-Lite-Base 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
Closed weights
Released Jun 2024

Its score range overlaps with Mistral 7B v0.3, the model just above it, so a small gap in rank is not a meaningful difference.

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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: 108.7; Rank 227 of 270. Likely range 98.2 to 113.8.
Price per million tokens: $0.50 in / $0.50 out; Blended $0.50. List price from Fireworks_ai, checked 26 Oct 2026.
Context window: 164K tokens; About 123,000 words at once. One answer up to 164K tokens.
Weights: Closed; Used through the maker's apps or API (Epoch AI: Unknown).

We do not have an Arena human-vote rating and benchmark results for DeepSeek-Coder-V2-Lite-Base 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-V2-Lite-Base 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-V2-Lite-Base compared with all models we trackOverall capability: 108.7. Better than 15% of the other 269 models. Price: $0.50 per 1M. Cheaper than 69% of the other 200 priced models. Context window: 164K tokens. Larger context window than 36% of the other 198 models.

Overall capability108.7
Better than 15% of the other 269 models
Epoch Capabilities Index: one score that combines many tests.
Price$0.50 per 1M
Cheaper than 69% of the other 200 priced modelsUpper half
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-Coder-V2-Lite-Base 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: $0.07; 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: $0.50 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-V2-Lite-Base

How much does DeepSeek-Coder-V2-Lite-Base cost?: DeepSeek-Coder-V2-Lite-Base costs $0.50 per million input tokens and $0.50 per million output tokens, using the list price from Fireworks_ai as of 26 Oct 2026. That is about $0.07 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-V2-Lite-Base?: DeepSeek-Coder-V2-Lite-Base 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-Coder-V2-Lite-Base open source?: We list DeepSeek-Coder-V2-Lite-Base as closed: it is used through its maker's apps or API and its weights are not published (Epoch AI lists its access as "Unknown").
How good is DeepSeek-Coder-V2-Lite-Base compared with other AI models?: On the Epoch Capabilities Index, DeepSeek-Coder-V2-Lite-Base scores 108.7 (likely range 98.2 to 113.8), which ranks 227 of 270 models we track. Scores close together are a tie in practice.
How does DeepSeek-Coder-V2-Lite-Base compare with Mistral 7B v0.3?: On quality, neither model leads clearly across the 1 measure both have. 1 measure is too close to call. Mistral 7B v0.3 costs about 77% less than DeepSeek-Coder-V2-Lite-Base on a blended price of $0.11 against $0.50 per million tokens. See the full comparison for every measure.
How current are these numbers for DeepSeek-Coder-V2-Lite-Base?: 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