ModelsModels / DeepSeek
DeepSeek-V4.1-Flash
Gets 94 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.
DeepSeek-V4.1-Flash is made by DeepSeek. It takes text and images, with a context window of 1M tokens. On Tīrtha it takes text.
Start using DeepSeek-V4.1-Flash in 3 steps
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At a glance
Tested on Tīrtha Bench
Tool calling (public BFCL v4 test)
Overall: 93.6%*. Picks the right tool and fills in the inputs correctly on 94 of every 100 tasks.
One tool 95% · Picking the right tool 92% · Several calls at once 94%
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-V4.1-Flash beside every other model on Tīrtha Bench →
What it supports
- Tool callingYesAlso measured on Tīrtha Bench
- Text inYes
- Image inYesText only on Tīrtha for now.
- ReasoningYesThinks before it answers
- StreamingYes
- Sampling settingsFixed todayThe maker publishes no default. Tīrtha fixes temperature at 0 today.
From the maker
- Model card: deepseek-ai/DeepSeek-V4.1-Flash on Hugging Face
- Last updated by the maker: Oct 16, 2026
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.