Phi 4 model profile

Evidence snapshot:

Phi 4 is a Microsoft model profile with a 16,384-token context window. The dated catalog snapshot records text modalities and interfaces for structured output, text generation.

Microsoft Research 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...

Phi 4 is a reference profile: Microsoft publishes it, Kendr documents it for comparison, and it carries no Kendr alias to call.

Phi 4 is an independent knowledge profile. It does not claim that Kendr hosts the model, quote a Kendr customer price, promise API availability, or advertise a Kendr routing receipt.

Phi 4 accepts text and returns text. The snapshot records structured output and text generation as capabilities or interfaces.

The dated reference snapshot lists $0.07 input and $0.14 output per million tokens.

No comparable third-party benchmark value is present in the 2026-09-06 snapshot. Missing values are not estimated.

No comparable popularity rank or traffic share is present in the 2026-09-06 snapshot. No comparable routing rank or traffic-share observation is attached to this dated profile; missing adoption evidence is not estimated.

Profile data was reviewed for the 2026-09-06 snapshot. Claims retain their source dates, and unavailable fields are shown as unavailable instead of estimated.

Profile facts

Profile type
Model research profile
Provider or publisher
Microsoft
Context window
16,384 tokens
Snapshot date
2026-09-06
Knowledge cutoff
2024-06-30
Reference catalog ID
microsoft/phi-4

When to pick Phi 4

Phi 4 is a reference profile: Microsoft publishes it, Kendr documents it for comparison, and it carries no Kendr alias to call.

Each condition below is derived from this model's own values in the 2026-09-06 snapshot, compared only against models publishing the same field.

  • Reach for it when cost is the binding constraint. At $0.07 in and $0.14 out per 1M tokens, combined token price sits in the cheapest quarter of the 146 models publishing both rates in this snapshot.
  • Look elsewhere when you need to call it through Kendr today. This is a research reference profile with no Kendr alias. The facts and evidence here are published for comparison; the model is not routable on Kendr.
  • Look elsewhere when the prompt is long. The 16K-token context window is in the bottom quarter of the 163 models publishing a limit. Long documents need chunking or a wider-context route.
  • Look elsewhere when you are building an agent. No tool-calling capability is recorded for this model in the snapshot. Agent loops need a route that can call functions.

Context, modalities, and identity

Phi 4 accepts text and returns text. The snapshot records structured output and text generation as capabilities or interfaces.

Provider or publisher
Microsoft
Context window
16,384 tokens
Maximum output
14,745 tokens
Input modalities
text
Output modalities
text
Knowledge cutoff
2024-06-30

Model overview

Microsoft Research 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...

Reference model ID
microsoft/phi-4
Canonical version
microsoft/phi-4
Hugging Face ID
microsoft/phi-4

Capabilities and supported controls

Capabilities and parameters are reported from the dated catalog and source records; their presence does not guarantee identical behavior across every provider route.

Supported parameters
frequency_penalty, logit_bias, max_tokens, min_p, presence_penalty, repetition_penalty, response_format, seed, stop, structured_outputs, temperature, top_k, top_p
  • structured output
  • text generation

Dated pricing snapshot

The dated reference snapshot lists $0.07 input and $0.14 output per million tokens.

These are dated third-party reference prices, not Kendr prices or an availability offer. Routes, tiers, caching, region, and provider policy can change the landed price.

Price date
2026-09-06
Input
$0.07 per 1M tokens
Cached input
No verified rate
Output
$0.14 per 1M tokens

Provider routes, performance, and uptime

The snapshot retains 1 provider endpoint. Provider prices, context limits, p50 performance, and uptime can differ by route and are not Kendr guarantees.

Active provider endpoints
1
Best p50 latency
No recent metric
Best p50 throughput
No recent metric
Availability with routing
No recent metric
Availability without routing
No recent metric
Performance date
2026-09-06
ProviderQuantizationInput / 1MOutput / 1MCache read / 1MContextp50 latencyp50 throughputUptime (1d)
DeepInfrabf16$0.07 / 1M$0.14 / 1MNo verified rate16,384 tokensNo recent p50No recent p50100.00%

Benchmark evidence and limitations

No comparable third-party benchmark value is present in the 2026-09-06 snapshot. Missing values are not estimated.

Third-party catalog fields normalized from the cited model dataset; benchmark methodology and coverage differ by source.

Popularity and market context

No comparable popularity rank or traffic share is present in the 2026-09-06 snapshot. No comparable routing rank or traffic-share observation is attached to this dated profile; missing adoption evidence is not estimated.

Third-party catalog rank
No verified rank
Global market share
Not inferred
Observation date
2026-09-06

Frequently asked questions

When should I use Phi 4?

Phi 4 is a reference profile: Microsoft publishes it, Kendr documents it for comparison, and it carries no Kendr alias to call. Reach for it when cost is the binding constraint: At $0.07 in and $0.14 out per 1M tokens, combined token price sits in the cheapest quarter of the 146 models publishing both rates in this snapshot. Look elsewhere when you need to call it through Kendr today: This is a research reference profile with no Kendr alias. The facts and evidence here are published for comparison; the model is not routable on Kendr. Look elsewhere when the prompt is long: The 16K-token context window is in the bottom quarter of the 163 models publishing a limit. Long documents need chunking or a wider-context route. Look elsewhere when you are building an agent: No tool-calling capability is recorded for this model in the snapshot. Agent loops need a route that can call functions.

What is Phi 4?

Phi 4 is a Microsoft model profile with a 16,384-token context window. The dated catalog snapshot records text modalities and interfaces for structured output, text generation.

What context window does Phi 4 have?

The dated profile lists 16,384 tokens of context and up to 14,745 output tokens. Provider routes, variants, and runtime configuration can impose lower effective limits.

What benchmark evidence is available for Phi 4?

No comparable third-party benchmark value is present in the 2026-09-06 snapshot. Missing values are not estimated. Third-party catalog fields normalized from the cited model dataset; benchmark methodology and coverage differ by source.

Is Phi 4 available through Kendr?

This is an independent knowledge profile, not a Kendr-hosted availability claim. Check Kendr's live public model API for currently enabled Kendr aliases.

Does the popularity rank represent Phi 4's global market share?

No comparable popularity rank or traffic share is present in the 2026-09-06 snapshot. No comparable routing rank or traffic-share observation is attached to this dated profile; missing adoption evidence is not estimated. No global market-share percentage is inferred when the source does not publish one.

Sources and evidence dates

  1. Phi 4 third-party catalog record (catalog, checked 2026-09-06)
  2. Third-party model catalog methodology (methodology, checked 2026-09-06)
  3. Microsoft official model documentation (primary, checked 2026-09-06)