Microsoft: Phi 4

Public pricingIntelligence 76/100Small memoryटूल उपयोग

Microsoft: Phi 4 एक टेक्स्ट मॉडल है, जिसे तर्क और समस्या समाधान के लिए बनाया गया है। यह गहरी तर्कशक्ति और योजना، कम latency और efficient inference, 16K tokens का context और कम लागत profile जोड़कर reasoning, analysis, and hard problem solving में भरोसेमंद काम करता है। यह तब व्यावहारिक विकल्प है जब latency, cost और throughput महत्वपूर्ण हो, खासकर उन टीमों के लिए जिन्हें स्थिर output,

Input

$0.07/1M

Output

$0.14/1M

Cached

$0.01/1M

Batch

$0.07/1M

Calculate your Phi 4 bill.

Set your workload — see cost at your exact volume.

What would Phi 4 cost you?

Adjust the workload to see your monthly bill.

1,00010,00050,000250,0001M10M

Technical specifications

Phi 4 at a glance.

Memory

16,384

tokens

Max reply

16,384

tokens

Memory tier

Small

a few emails or a short document

Tokenizer

—

Released

Dec 2024

Training cutoff

Jun 2024

Availability

Public pricing

Status

active

Benchmarks

Quality benchmarks

Independent evaluations from public leaderboards. Higher is better.

  • aa_intelligence_index

    10

  • bbh

    52.58

  • gpqa_diamond

    56.1

  • humaneval

    82.6

  • ifeval

    4.88

  • math

    80.4

  • mmlu

    84.8

  • mmlu_pro

    47.72

What it can do

Capabilities & limits.

  • Understands images
  • Deep step-by-step thinking
  • Uses tools / calls functions
  • Strict JSON output
  • Streams replies
  • Fine-tunable on your data

When to pick Phi 4

  • Agentic workflows that call tools or APIs.
  • High-volume workloads where unit cost matters.

When to look elsewhere

  • Your workload involves images — pick a vision-capable model instead.
  • Your inputs routinely exceed short documents.

Alternatives

Similar models to compare.

FAQ

Phi 4 — the questions we see most.

Pricing, capabilities, alternatives — generated from the same data that powers the calculator above.

Get instant answers from our AI agent

At a typical workload of 50,000 conversations a month with 1,500-token prompts and 800-token replies, Phi 4 costs roughly $10 per month. Input is $0.07 /1M tokens and output is $0.14 /1M tokens.
Phi 4 has a 16,384-token context window (small memory — a few emails or a short document). That means you can fit about 3,072 words of input and history in a single call.
Beyond text generation, Phi 4 supports calling functions / tools, strict JSON output, fine-tuning on your own data. It streams replies by default.
Phi 4 was released in December 2024, with training data cut off around June 2024.
Models in a similar class include WizardLM-2 8x22B, Qwen3.5-Flash, Nova Lite 1.0. The "Similar models" section below this FAQ links into each.

Still unsure?

Compare Phi 4 against 100+ other models.

Open the full wizard — pick a use case, set your usage, and see side-by-side monthly costs in under a minute.

Open the comparison wizard