How much does Falcon-7B cost?

We do not hold a list price for Falcon-7B yet, so we cannot compare its cost. Check the maker's own price page.

Is Falcon-7B open source?

Falcon-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 Falcon-7B compared with other AI models?

On the Epoch Capabilities Index, Falcon-7B scores 94.7 (likely range 82.3 to 102.0), which ranks 252 of 270 models we track. Scores close together are a tie in practice.

How does Falcon-7B compare with CodeQwen1.5-7B?

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 Falcon-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

Falcon-7B: Score, Price and Context Window

Where Falcon-7B from Technology Innovation Institute ranks, what it costs and how much text it can read, in plain numbers with the sources.

Data updated 26 Oct 2026

Technology Innovation Institute
Open weights
Released Apr 2023

Its score range overlaps with Baichuan 2-7B, 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: 94.7; Rank 252 of 270. Likely range 82.3 to 102.0.
Weights: Open; The weights can be downloaded. Check the licence before commercial use.

We do not have an Arena human-vote rating, a list price, a context window size and benchmark results for Falcon-7B yet. It is shown as "Not measured" rather than guessed.

How Falcon-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.

Falcon-7B compared with all models we trackOverall capability: 94.7. Better than 6% of the other 269 models.

Overall capability94.7
Better than 6% of the other 269 models
Epoch Capabilities Index: one score that combines many tests.

Compared with the other published models that have each measure. Data updated 26 Oct 2026.

Where Falcon-7B ranks

Leaderboards it appears on, best placing first.

See all leaderboards

Similar models

Models from other makers with a similar overall score.

Learn more

Questions about Falcon-7B

How much does Falcon-7B cost?: We do not hold a list price for Falcon-7B yet, so we cannot compare its cost. Check the maker's own price page.
Is Falcon-7B open source?: Falcon-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 Falcon-7B compared with other AI models?: On the Epoch Capabilities Index, Falcon-7B scores 94.7 (likely range 82.3 to 102.0), which ranks 252 of 270 models we track. Scores close together are a tie in practice.
How does Falcon-7B compare with CodeQwen1.5-7B?: 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 Falcon-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.

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