Phi-4-reasoning-plus
microsoft/phi-4-reasoning-plusPor Microsoft · família: phi · lançado 2024-12-11 · data de conhecimento: 2023-10
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.
Coding12
- Tool calling0/40
- Structured output0/20
- Reasoning10/10
- Context window (100K → 1M)0/20
- Provider availability2/10
Agents17
- Tool calling0/35
- Structured output0/25
- Reasoning15/15
- Output token limit0/15
- Provider availability2/10
JSON / structured output29
- Structured output / JSON mode0/50
- Tool calling0/20
- Temperature control10/10
- Price-friendly for high-volume19/20
Cost efficiency67
- Headline price (log-scaled)67/95
- Has prompt-cache pricing0/5
Long context0
- Context ≥ 100K0/100
Production-readiness70
- Number of independent providers10/40
- Has published per-token price20/20
- Context window ≥ 8K15/15
- No data inconsistencies across providers10/10
- Official model (not derivative)15/15
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.
| Scenario | Cost | Assumption |
|---|---|---|
RAG answer per 1,000 RAG answers | $0.88 < $0.01 per request | 5K input tokens (query + 4 retrieved chunks of ~1K each) and a 500-token answer. Typical SaaS knowledge-base bot. |
Support ticket triage per 10,000 tickets | $1.75 < $0.01 per request | 1K input tokens (ticket body + system prompt) and a 100-token JSON classification reply. High-volume customer support. |
Data extraction per 1,000 documents | $0.50 < $0.01 per request | 2K input tokens (a single document page) and a 500-token JSON extraction. ETL / invoice / form pipelines. |
Code review per 1,000 PRs | $1.50 < $0.01 per request | 8K input tokens (diff + surrounding files) and a 1K-token review comment. PR-bot workloads. |
Agent step per 1,000 steps | $1.80 < $0.01 per request | 12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step. |
Detalhes de preço
Preço recomendado de azure · phi-4-reasoning-plus
Disponível em 2 provedores
| Provedor | ID do modelo do provedor | Entrada / 1M | Saída / 1M | Contexto | Lançado |
|---|---|---|---|---|---|
| Azure azure | phi-4-reasoning-plus | $0.125 | $0.500 | 32K | 2024-12-11 |
| Azure Cognitive Services azure-cognitive-services | phi-4-reasoning-plus | $0.125 | $0.500 | 32K | 2024-12-11 |
Frequently asked questions
How much does Phi-4-reasoning-plus cost?
Phi-4-reasoning-plus costs $0.125 per 1M input tokens and $0.500 per 1M output tokens, sourced from azure. Cache reads, audio tokens and >200K-context tiers (where applicable) are listed in the Pricing detail block above.
What is the context window of Phi-4-reasoning-plus?
Phi-4-reasoning-plus has a context window of 32K tokens, with a max output of 4K tokens per reply. This is the total combined size of prompt + completion.
Does Phi-4-reasoning-plus support tool calling?
No. Phi-4-reasoning-plus does not support tool calling (function calling). If your workflow requires it, look at the /capabilities/tool-calling list for alternatives.
Does Phi-4-reasoning-plus support structured output / JSON mode?
Support for structured output / JSON-schema-constrained decoding is not reported for Phi-4-reasoning-plus in our data source. Verify with Microsoft's official documentation before relying on it in production.
Can Phi-4-reasoning-plus accept image input?
No. Phi-4-reasoning-plus only accepts text as input. If you need image input, see our /capabilities/vision list for current vision-capable models.
Is Phi-4-reasoning-plus open-weight?
Yes. Phi-4-reasoning-plus'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-4-reasoning-plus?
If Phi-4-reasoning-plus doesn't fit, consider Phi-4-mini-instruct, Phi-4, WizardLM-2 8x22B. 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.
Explore more
More Microsoft models
- Phi-4-mini-instruct$0.08 in / $0.35 out
- Phi-4$0.06 in / $0.14 out
- WizardLM-2 8x22B$0.49 in / $0.49 out
- Phi-3-medium-instruct (128k)$0.17 in / $0.68 out
- Phi-3-small-instruct (128k)$0.15 in / $0.60 out
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.