How much does Gemma 7B cost?

Gemma 7B costs $0.17 per million input tokens and $0.17 per million output tokens, using the median price across hosting providers as of 26 Oct 2026. That is about $0.03 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 Gemma 7B?

Gemma 7B has a context window of 8K tokens, roughly 6,000 words of text read at once. A single answer can be up to 8K tokens long.

Is Gemma 7B open source?

Gemma 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 Gemma 7B compared with other AI models?

On the Epoch Capabilities Index, Gemma 7B scores 111.8 (likely range 103.1 to 116.7), which ranks 223 of 270 models we track. On Arena's human-vote text board it is ranked 161 of 166. Scores close together are a tie in practice.

How does Gemma 7B compare with internlm-20b?

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 Gemma 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

Gemma 7B: Score, Price and Context Window

Where Gemma 7B from Google ranks, what it costs and how much text it can read, in plain numbers with the sources.

Data updated 26 Oct 2026

Google
Open weights
Released Feb 2024

Its score range overlaps with internlm-20b, 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 8K tokens.

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

Key facts

Overall score: 111.8; Rank 223 of 270. Likely range 103.1 to 116.7.
Human preference: chat: 1138; Rank 161 of 166. 8,925 votes.
Human preference: coding: 1167; Rank 161 of 166. 1,381 votes.
Price per million tokens: $0.17 in / $0.17 out; Blended $0.17. Median across hosting providers, checked 26 Oct 2026.
Context window: 8K tokens; About 6,000 words at once. One answer up to 8K tokens.
Weights: Open; The weights can be downloaded. Check the licence before commercial use.

We do not have benchmark results for Gemma 7B yet. It is shown as "Not measured" rather than guessed.

Try itGoogle Gemini in our AI tools directoryGoogle's AI assistant for writing, planning, research, and multimodal tasks, with optional Google AI subscriptions.

How Gemma 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.

Gemma 7B compared with all models we trackOverall capability: 111.8. Better than 17% of the other 269 models. Human preference: chat: 1138. Better than 3% of the other 165 models. Human preference: coding: 1167. Better than 3% of the other 165 models. Price: $0.17 per 1M. Cheaper than 86% of the other 200 priced models. Context window: 8K tokens. Larger context window than 2% of the other 198 models.

Overall capability111.8
Better than 17% of the other 269 models
Epoch Capabilities Index: one score that combines many tests.
Human preference: chat1138
Better than 3% of the other 165 models
How often people pick its answers over another model's on Arena.
Human preference: coding1167
Better than 3% of the other 165 models
How often people pick its answers to coding questions on Arena.
Price$0.17 per 1M
Cheaper than 86% of the other 200 priced modelsTop 25%
Blended price per million tokens. Lower is better, so the cheapest models sit on the right.
Context window8K tokens
Larger context window than 2% 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 Gemma 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: $0.03; 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: $0.02; 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: $0.17 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 Gemma 7B

How much does Gemma 7B cost?: Gemma 7B costs $0.17 per million input tokens and $0.17 per million output tokens, using the median price across hosting providers as of 26 Oct 2026. That is about $0.03 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 Gemma 7B?: Gemma 7B has a context window of 8K tokens, roughly 6,000 words of text read at once. A single answer can be up to 8K tokens long.
Is Gemma 7B open source?: Gemma 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 Gemma 7B compared with other AI models?: On the Epoch Capabilities Index, Gemma 7B scores 111.8 (likely range 103.1 to 116.7), which ranks 223 of 270 models we track. On Arena's human-vote text board it is ranked 161 of 166. Scores close together are a tie in practice.
How does Gemma 7B compare with internlm-20b?: 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 Gemma 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.
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