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Microsoft: Phi 4 Coding Benchmark

[Microsoft Research](/microsoft) Phi-4 is designed to perform well in complex reasoning tasks and can operate efficiently in situations with limited memory or where quick responses are needed. At 14 billion...

Context16,384tokens
Max Output14,745tokens
Inputmodality
Price$0.07/1M input

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Coding Performance

Coding benchmarks and performance metrics for development tasks

Security

Enkrypt AI red-team scores for Microsoft: Phi 4. Each value is the share of successful attacks on a 0–100 scale — lower is safer.

Overall risk
21.7

Lower is safer

Safety

18.3/ 100

Composite safety risk from Enkrypt red-team evaluations. Lower is safer.

NIST

22.0/ 100

Average attack success across NIST-mapped tests: bias, harm, toxicity, CBRN, and insecure code.

OWASP

28.0/ 100

Weighted average of the same tests using OWASP Top 10 for LLMs 2025 risk rankings.

Attack categories

Percentage of successful attacks in each Enkrypt red-team category.

Jailbreak2.2/ 100

Share of jailbreak tests that bypassed the model's safety constraints.

Bias83.2/ 100

Share of tests that elicited biased responses.

Harmful content3.3/ 100

Share of tests that produced dangerous, violent, or hateful content.

Toxicity0.8/ 100

Share of tests that produced toxic or abusive content.

CBRN5.0/ 100

Share of tests that elicited chemical, biological, radiological, or nuclear assistance.

Insecure code16.0/ 100

Share of tests that produced vulnerable or malicious code.

Score
Value
Overall risk
21.7 / 100
Safety
18.3 / 100
NIST
22.0 / 100
OWASP
28.0 / 100
Jailbreak
2.2 / 100
Bias
83.2 / 100
Harmful content
3.3 / 100
Toxicity
0.8 / 100
CBRN
5.0 / 100
Insecure code
16.0 / 100

Security scores from the Enkrypt AI Safety Leaderboard · Last checked Sep 17, 2026

Real-World Usage

Real-world usage statistics from the Kilo Code community

Weekly Token Usage

No ranking data available for this model yet.

Real-world metrics from the Kilo Code Leaderboard

Pricing

Cost per 1 million tokens

Input Tokens
$0.07
per 1M tokens
Output Tokens
$0.14
per 1M tokens

Example Cost

Analyzing a 10,000 line codebase (≈40k input tokens, 10k output tokens) costs approximately $0.0042

Coding Capabilities

Features and parameters relevant to coding tasks

Coding Features

Function Calling
Can call external functions/APIs
Tool Choice
Control over function selection
Structured Outputs
JSON schema validation
Reasoning Tokens
Extended thinking for complex problems

Pricing details from OpenRouter

Technical Details

Architecture and implementation specifications

Specifications
Model ID
microsoft/phi-4
Created
January 10, 2025
Tokenizer
Other
Input Modalities
Text
Context Window
16,384 tokens
Max Completion Tokens
14,745 tokens
Input Price
$0.07 per 1M tokens
Output Price
$0.14 per 1M tokens
Content Moderation
Disabled

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