Phi-3.5 Mini 128K Instruct
by MicrosoftOtherunverified match
Phi-3.5 models are lightweight, state-of-the-art open models. These models were trained with Phi-3 datasets that include both synthetic data and the filtered, publicly available websites data, with a focus on high quality and reasoning-dense properties. Phi-3.5 Mini uses 3.8B parameters, and is a dense decoder-only transformer model using the same tokenizer as Phi-3 Mini.
- Weights
- unknown
microsoft/phi-3-5-mini-128k-instruct
Specifications
Full facts as recorded, incl. what is unknown.
- Released
- —
- Weights
- unknown
- Input
- Output
- Context window
- max across endpoints
- Max output
- Providers
- 1
- Epoch Capabilities Index
- not evaluated
- Direct price range
- $0.10 in · $0.10 out per 1M tokens · from its one provider
More details
- Last updated
- —
- Knowledge cutoff
Capabilities
Across all endpoints: supported if any endpoint supports it.
- Tool callingunknown
- Parallel toolsunknown
- Structured outputunknown
- Reasoningunknown
- Image inputunknown
- PDF inputunknown
- Audio inputunknown
- Audio outputunknown
- Video inputunknown
- Prompt cachingunknown
- Web searchunknown
- Computer useunknown
- System messagesunknown
- Assistant prefillunknown
- Temperatureunknown
- Streamingunknown
- Attachmentsunknown
Endpoints
One row per provider and variant; gateways are listed separately.
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Price history
Atom feedNo change since 19 Oct 2026. The cheapest direct price has been $0.10 in / $0.10 out per 1M tokens at Azure on every data refresh since then.
Tracked from 19 Oct 2026. Headline-eligible direct prices only, so a price the sanity check flags never draws a spike. Series as JSON
Cost calculator
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