Models / DeepSeek

DeepSeek-V4-Flash-0731

Gets 94 of every 100 tool calls right on the public test. Best at calling a single tool, weaker at making several calls at once.

Open weights · MITby DeepSeekReleased Jul 31, 2026Tested on Tīrtha Bench

DeepSeek-V4-Flash-0731 is made by DeepSeek. It takes text in and answers in text, with a context window of 1M tokens.

Start using DeepSeek-V4-Flash-0731 in 3 steps

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  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/deepseek-v4-flash-0731"

At a glance

MakerDeepSeek
Acceptstext
Context1M tokens
Max output16,384 tokens
LicenceMIT
ReleasedJul 31, 2026

Tested on Tīrtha Bench

Tool calling (public BFCL v4 test)

Overall: 94.2%*. Picks the right tool and fills in the inputs correctly on 94 of every 100 tasks.

One tool 96% · Picking the right tool 94% · 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 DeepSeek-V4-Flash-0731 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: MIT. Read the licence.