Phi-3.5-vision instruct (128k)
github-models/phi-3-5-vision-instructPor github-models · família: phi · lançado 2024-08-20 · data de conhecimento: 2023-10
⚠ Este é um fine-tune da comunidade ou derivado — não um lançamento oficial do fornecedor.
Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.
Capacidades
Model fit scores
0–100 · higher is betterThese scores reward declared capabilities, context size, price and provider availability — they are not benchmark results. Use them as a directional signal alongside your own evaluation.
Coding53
- Tool calling40/40
- Structured output0/20
- Reasoning10/10
- Context window (100K → 1M)2/20
- Provider availability1/10
Agents51
- Tool calling35/35
- Structured output0/25
- Reasoning15/15
- Output token limit0/15
- Provider availability1/10
JSON / structured output30
- Structured output / JSON mode0/50
- Tool calling20/20
- Temperature control10/10
- Price-friendly for high-volume0/20
Cost efficiency0
- Has published price0/100
Long context35
- Context window (100K → 2M)35/90
- Has published price for full window0/10
Vision68
- Accepts image input50/50
- Context window (10K → 1M)17/30
- Has published price0/10
- Provider availability1/10
Production-readiness30
- Number of independent providers5/40
- Has published per-token price0/20
- Context window ≥ 8K15/15
- No data inconsistencies across providers10/10
- Official model (not derivative)0/15
Cost Efficiency Index
Open full calculator →Estimated cost using the recommended provider's headline rate. Each scenario fixes average input/output tokens — the assumptions are shown in the third column.
This model has no published per-token price, so we can't compute a cost estimate. See the provider's official pricing page for current rates.
Disponível em 1 provedores
| Provedor | ID do modelo do provedor | Entrada / 1M | Saída / 1M | Contexto | Lançado |
|---|---|---|---|---|---|
| GitHub Models github-models | microsoft/phi-3.5-vision-instruct | Unknown | Unknown | 128K | 2024-08-20 |
Frequently asked questions
How much does Phi-3.5-vision instruct (128k) cost?
Phi-3.5-vision instruct (128k) does not have a publicly published per-token price in our data source. This usually means it is gated behind enterprise sales or invite access. Check github-models's official pricing page for the most current rates.
What is the context window of Phi-3.5-vision instruct (128k)?
Phi-3.5-vision instruct (128k) has a context window of 128K tokens, with a max output of 4K tokens per reply. This is the total combined size of prompt + completion.
Does Phi-3.5-vision instruct (128k) support tool calling?
Yes. Phi-3.5-vision instruct (128k) supports tool calling (function calling). This makes it suitable for production agent and automation workloads where the model has to invoke external functions reliably.
Does Phi-3.5-vision instruct (128k) support structured output / JSON mode?
Support for structured output / JSON-schema-constrained decoding is not reported for Phi-3.5-vision instruct (128k) in our data source. Verify with github-models's official documentation before relying on it in production.
Can Phi-3.5-vision instruct (128k) accept image input?
Yes. Phi-3.5-vision instruct (128k) accepts both text and image input. Vision pricing per image is usually billed on top of the regular token rate — check github-models's docs for the exact rule.
Is Phi-3.5-vision instruct (128k) open-weight?
Yes. Phi-3.5-vision instruct (128k)'s weights are publicly available, so you can self-host or fine-tune. Note that open weights ≠ open source — the training data and code are typically not released.
What are the best alternatives to Phi-3.5-vision instruct (128k)?
If Phi-3.5-vision instruct (128k) doesn't fit, consider AI21 Jamba 1.5 Mini, AI21 Jamba 1.5 Large, JAIS 30b Chat. Each one targets the same use case — see the Related links below for direct head-to-head pages.
Where does this data come from?
All numbers come from the public models.dev API and are normalised into a single canonical model record. We re-pull daily and write any changes (price, context, capability) to the /changelog page.
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Capability lists this model is in
Última atualização:
Data is sourced from models.dev and normalized for comparison. Prices and capabilities may change. Always verify critical production decisions with the provider's official documentation.