Models / Qwen

Qwen3.5-9B

Gets 92 of every 100 tool calls right on the public test. Steady whether it is calling one tool, choosing between tools, or making several calls at once.

Open weights · Apache-2.0by QwenReleased Feb 27, 2026Tested on Tīrtha Bench

Qwen3.5-9B is made by Qwen. It takes text and images, with a context window of 262,144 tokens. On Tīrtha it takes text.

Start using Qwen3.5-9B in 3 steps

Read the docs
  1. Get an API keyFree to create. It works for every model in the catalogue.Get an API key
  2. Add creditsPay as you go. Credits work on every model.Add credits
  3. Point your client at TīrthaAny OpenAI-compatible client works. Use your key and this base URL, and name the model.
    base_url: "https://api.tirtha.ai/v1" api_key: "YOUR_TIRTHA_KEY" model: "catalog/qwen3.5-9b"

At a glance

MakerQwen
Acceptstext + image
Context262,144 tokens
Max output16,384 tokens
LicenceApache-2.0
ReleasedFeb 27, 2026

Tested on Tīrtha Bench

Tool calling (public BFCL v4 test)

Overall: 92.5%*. Picks the right tool and fills in the inputs correctly on 92 of every 100 tasks.

One tool 94% · Picking the right tool 93% · Several calls at once 90%

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.

See Qwen3.5-9B beside every other model on Tīrtha Bench →

What it supports

From the maker

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.

Licence

Weights: Apache-2.0. Read the licence.