Models / Meta
Gets 80 of every 100 tool calls right on the public test. Best at calling a single tool, weaker at choosing the right tool from several.
Llama-3.1-8B-Instruct is made by Meta. It takes text in and answers in text, with a context window of 131,072 tokens.
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Tool calling (public BFCL v4 test)
Overall: 80.5%*. Picks the right tool and fills in the inputs correctly on 80 of every 100 tasks.
One tool 84% · Picking the right tool 76% · Several calls at once 78%
A task counts as right only if the model calls the right tool with the right inputs. 800 tasks. Run on Oct 29, 2026. *Measured by Spanda Works on third-party hosts, not through Tīrtha. Results through Tīrtha may differ.
Handled several calls at once in our tests.
Measured as llama-3.1-8b-instruct-turbo.
See Llama-3.1-8B-Instruct beside every other model on Tīrtha Bench →
Facts here are read from the maker's published card; claims and benchmarks on that card are the maker's own, not measured by Tīrtha.
Weights: Llama 3.1 Community License. Llama 3.1 Community License. Llama 3.1 Acceptable Use Policy.
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