Gorilla OpenFunctions v2 vsFunctionary Medium v2.2
Compare the listed model data for Gorilla OpenFunctions v2 by gorilla-llm and Functionary Medium v2.2 by meetkai. Benchmark and pricing records are not a controlled test and may change.
Data last updated: 2026-10-16. Verify current model details with each provider.
What the listed data says
Gorilla OpenFunctions v2: 4K tokens; Functionary Medium v2.2: 8K tokens. Functionary Medium v2.2 has the larger listed context window. Gorilla OpenFunctions v2 is listed for no specific capability flags; Functionary Medium v2.2 is listed for no specific capability flags. Shared catalog benchmark entries: BFCL Overall: Gorilla OpenFunctions v2 88.5%; Functionary Medium v2.2 83.2%. These records are reference data, not a controlled head-to-head test; verify current pricing and specifications with each provider.
Catalog source links
Use these model and provider links to verify current specifications, pricing, and availability.
The listed context windows are 4K tokens and 8K tokens; the larger is 2× the smaller.
On shared numeric benchmark entries, BFCL Overall: Gorilla OpenFunctions v2 − Functionary Medium v2.2 = +5.3 percentage points (88.5% vs 83.2%).
The first listed parameter quantities are 7B and 7B; the larger quantity is 1× the smaller. Total and active MoE parameters are not directly equivalent.
A release-date gap cannot be calculated from the catalog values (Gorilla OpenFunctions v2: 2024; Functionary Medium v2.2: 2024).
Cost example: 1M input and 1M output tokens
A cost example for 1M input plus 1M output tokens cannot be calculated reliably because separate numeric input and output rates are not listed for both models.
Choose Gorilla OpenFunctions v2 if…
Choose Gorilla OpenFunctions v2 when your task aligns with catalog-listed uses or strengths such as Function calling in agentic frameworks, Building agents that interact with documented APIs, State-of-the-art function calling at release — trained on API documentation, Understands real-world APIs: Python, Java, JavaScript, REST.
Choose Functionary Medium v2.2 if…
Choose Functionary Medium v2.2 when your task aligns with catalog-listed uses or strengths such as Production AI agent frameworks, Multi-tool orchestration, Structured workflow automation, Production-grade function calling — deployed in commercial products.
Berkeley Gorilla OpenFunctions v2 — purpose-built for accurate API function calling and tool use, rivaling GPT-4 on the Berkeley Function-Calling leaderboard.
Feature Comparison — Gorilla OpenFunctions v2 vs Functionary Medium v2.2
Catalog specifications for Gorilla OpenFunctions v2 and Functionary Medium v2.2
Specification
Gorilla OpenFunctions v2
Functionary Medium v2.2
Provider
gorilla-llm
meetkai
Parameters
7B
7B
Context window
4K tokens
8K tokens
Maximum output
Not listed
Not listed
Catalog pricing
Apache 2.0 — free
MIT — free
Listed input/output cost per 1M tokens
Separate numeric input/output rates not listed
Separate numeric input/output rates not listed
License
Apache 2.0
MIT
Coding support
Not listed
Not listed
Reasoning support
Not listed
Not listed
Vision input
Not listed
Not listed
Multimodal
Not listed
Not listed
Open weights
Yes
Yes
Benchmark: BFCL Overall
88.5%
83.2%
Figures are transcribed from LITHOVEX model records. Benchmark versions and evaluation setups may differ; pricing and specifications can change. Check each provider's current documentation before making a decision.
Frequently Asked Questions
What is different between Gorilla OpenFunctions v2 and Functionary Medium v2.2?
Gorilla OpenFunctions v2: 4K tokens; Functionary Medium v2.2: 8K tokens. Functionary Medium v2.2 has the larger listed context window. Gorilla OpenFunctions v2 is listed for no specific capability flags; Functionary Medium v2.2 is listed for no specific capability flags. Shared catalog benchmark entries: BFCL Overall: Gorilla OpenFunctions v2 88.5%; Functionary Medium v2.2 83.2%. These records are reference data, not a controlled head-to-head test; verify current pricing and specifications with each provider.
What benchmark values are listed for Gorilla OpenFunctions v2 and Functionary Medium v2.2?
BFCL Overall: Gorilla OpenFunctions v2 88.5%; Functionary Medium v2.2 83.2%. The catalog values may use different versions and evaluation setups, so they are reference points rather than a controlled head-to-head result.
Which model has the larger listed context window?
Gorilla OpenFunctions v2: 4K tokens; Functionary Medium v2.2: 8K tokens. Functionary Medium v2.2 has the larger listed context window.
What are the listed costs per million tokens for Gorilla OpenFunctions v2 and Functionary Medium v2.2?
Gorilla OpenFunctions v2: Separate numeric input/output rates not listed (Apache 2.0 — free). Functionary Medium v2.2: Separate numeric input/output rates not listed (MIT — free). Where separate numeric input and output rates are available, the worked example uses 1M input plus 1M output tokens. Confirm current terms with each provider.
How far apart are the listed release dates for Gorilla OpenFunctions v2 and Functionary Medium v2.2?
The catalog lists Gorilla OpenFunctions v2 as 2024 and Functionary Medium v2.2 as 2024; a release-date gap cannot be calculated from both records.
When was the comparison data last updated?
The model catalog records 2026-10-16 as its data update date. Provider specifications and prices may have changed since then.
How should I choose between Gorilla OpenFunctions v2 and Functionary Medium v2.2?
Compare the listed specifications and capabilities, review the benchmark notes, then test both with the same representative prompt for your task. This page does not claim a universal winner.
Create your free LITHOVEX account and compare Gorilla OpenFunctions v2 and Functionary Medium v2.2 on your actual tasks. No credit card, no API key, no subscriptions needed.