An AI gateway between your app and 400+ LLM providers. Change your base URL to router.requesty.ai and instantly get intelligent routing, fallbacks, cost optimization, caching, governance, and observability.

One line of code: client = OpenAI(base_url='https://router.requesty.ai/v1', api_key='your-key'). Works with all major SDKs.

How does it reduce costs?

Smart routing to cheaper equivalent models, caching, automatic fallback from expensive providers, per-user spending limits, and real-time cost analytics.

Does it work with Cursor, Cline, Continue?

Yes. Native OAuth integrations. Any model, unlimited requests, no rate limits.

How does pricing work?

5% markup on model costs. All features included. Enterprise plans available with volume discounts.

Can I use my own API keys?

Yes. Bring your own keys for any provider while getting Requesty's routing and observability. Or use our unified key.

DeepInfra Inc.

phi-4

Name: phi-4
Brand: DeepInfra Inc.
SKU: deepinfra/microsoft/phi-4
Price: 0.0700 USD
Availability: InStock

Phi-4-reasoning-plus is an enhanced 14B parameter model from Microsoft, fine-tuned from Phi-4 with additional reinforcement learning to boost accuracy on math, science, and code reasoning tasks. It uses the same dense decoder-only transformer architecture as Phi-4, but generates longer, more comprehensive outputs structured into a step-by-step reasoning trace and final answer. While it offers improved benchmark scores over Phi-4-reasoning across tasks like AIME, OmniMath, and HumanEvalPlus, its responses are typically ~50% longer, resulting in higher latency. Designed for English-only applications, it is well-suited for structured reasoning workflows where output quality takes priority over response speed.

JSON schema

Try phi-4 Compare Docs

Specifications

Context window16K tokens

Max output—

API typechat

AddedMay 1, 2025

Model IDdeepinfra/microsoft/phi-4

Data retentionNo

Used for trainingNo

Provider location🇺🇸 US

Privacy policyDeepInfra Privacy Policy→

Benchmarks

Released 2024-12-12

Coding Indexcoding

11.2%

Artificial Analysis Coding Index — a composite of coding evaluations including LiveCodeBench, SciCode and Terminal-Bench.

GPQA Diamondreasoning

57.5%

Graduate-level physics, chemistry & biology questions designed to resist Googling.

Intelligence Indexreasoning

10.4%

Artificial Analysis Intelligence Index — a composite of multiple evaluations measuring overall model capability.

Scores are sourced from official model cards, Artificial Analysis, and public leaderboards. Benchmarks measure specific skills and do not capture every aspect of model quality — always test on your own workload.

Pricing

Input / 1M

$0.07

Output / 1M

$0.14

Cache write

—

Cache read

—

Estimated cost

100K input + 10K output$0.0084

1M input + 100K output$0.0840

10M input + 1M output$0.84

Requesty charges exactly what the upstream provider charges — no markup, no per-request fees. Prompt caching and smart routing can reduce effective cost by 30-80%.

Quickstart

Drop-in compatible with the OpenAI SDK. Change the base URL, swap in your Requesty API key, and set the model to deepinfra/microsoft/phi-4.

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from openai import OpenAI

client = OpenAI(
    api_key="YOUR_REQUESTY_API_KEY",
    base_url="https://router.requesty.ai/v1",
)

response = client.chat.completions.create(
    model="deepinfra/microsoft/phi-4",
    messages=[
        {"role": "user", "content": "Explain quantum computing in one paragraph."},
    ],
)

print(response.choices[0].message.content)

Other DeepInfra Inc. models

zai-org/GLM-5.1

203K ctx$1.05/1M

Coding 43

nvidia/Nemotron-3-Nano-30B-A3B

262K ctx$0.05/1M

nvidia/NVIDIA-Nemotron-3-Super-120B-A12B

deepseek-ai/DeepSeek-V4-Pro

1.0M ctx$1.30/1M

Coding 48

Frequently asked questions

How much does phi-4 cost?

phi-4 is priced at $0.07 per million input tokens and $0.14 per million output tokens when accessed via Requesty. Requesty charges exactly what the upstream provider charges — we don't add markup.

What is the context window of phi-4?

phi-4 has a context window of 16K tokens. That's roughly 22 words of input you can fit in a single prompt.

How does phi-4 perform on benchmarks?

phi-4 scores 71.4% on MMLU Pro, 57.5% on GPQA Diamond, 26.0% on SciCode. See the full benchmark chart above for results across MMLU Pro, GPQA Diamond, SWE-Bench Verified, HumanEval, MATH, AIME, MMMU, and LiveBench.

What can phi-4 do?

phi-4 supports structured outputs (JSON schema). You can call it through any OpenAI-compatible client by pointing base_url to Requesty.

How do I use phi-4 with the OpenAI SDK?

Install the OpenAI SDK, set base_url to "https://router.requesty.ai/v1", set your API key to your Requesty key, and set the model to "deepinfra/microsoft/phi-4". The Quickstart above shows Python, JavaScript and cURL snippets.

Access phi-4 through Requesty

One API key, 400+ models, OpenAI-compatible. No markup on provider prices, automatic failover, and smart caching built-in.

Get started free All DeepInfra Inc. models