Models / Qwen

Qwen3.8-Flash

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.

Closed modelby QwenTested on Tīrtha Bench

Qwen3.8-Flash is made by Qwen. It takes text in and answers in text, with a context window of 1M tokens.

Start using Qwen3.8-Flash 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/qwen3.8-flash"

At a glance

MakerQwen
Acceptstext
Context1M tokens
Max output16,384 tokens
LicenceClosed model, no public weights

Tested on Tīrtha Bench

Tool calling (public BFCL v4 test)

Overall: 91.9%*. Picks the right tool and fills in the inputs correctly on 92 of every 100 tasks.

One tool 94% · Picking the right tool 90% · 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 Qwen3.8-Flash 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: Closed model, no public weights.