Language modelActive

Phi-4

Microsoft

Released: December 2024
Data date: September 8, 2026
Predecessor: Phi-3 (Official documentation)

Speed: 41.1 tokens/s
Output throughput
Price: $0.07 · $0.14
Input · Output / 1M tokens
Input: Text
Output: Text

Phi-4 combines 14 billion dense parameters with a 16,384-token context. Microsoft trained the checkpoint on 9.8 trillion tokens, including a substantial share of synthetic and curated data. The weights use the MIT license.

Microsoft describes Phi-4 as a development of the Phi-3 line with only small architectural changes. The gains are attributed mainly to data mixture, curriculum, and post-training. The model card identifies English as the primary language.

Specifications and access

Specification	Value and source
Weights	Open weightsSource
Access	API, LocalSource
Parameters	14BSource
Context window	16,384 tokensSource
Knowledge cutoff	June 2024Source
Notes	Trained on 9.8T tokens, excels at math/reasoningSource
License	MITSource
Release	2024-12-12Source
Parameters	14 BSource
Knowledge cutoff	2024-06Source
Training tokens	9.8TSource
Architecture	dense decoder-only TransformerSource
Input	TextSource
Output	TextSource
Languages	EnglishSource

Measurements without matching peer values

These measurements have no matching peer values under the same test conditions. Their original values and sources remain available here.

MMLU (Show measurement, test conditions, and source)

Source value: 84.8
Score: 84.8
Metric: percent
Unit: %
Category: mixed
Direction: Higher is better
Source type: vendor-reported
Evaluator: Microsoft Phi-4 model card
Status: active
Retrieved at: 2026-09-08
Methodology: Vendor-reported result. Vendor card evaluation; card says OpenAI SimpleEval and internal benchmarks, but exact shots are not stated in the visible table.

Source Microsoft Phi-4 model card

GPQA (Show measurement, test conditions, and source)

Source value: 56.1
Score: 56.1
Metric: percent
Unit: %
Category: mixed
Direction: Higher is better
Source type: vendor-reported
Evaluator: Microsoft Phi-4 model card
Status: active
Retrieved at: 2026-09-08
Methodology: Vendor-reported result. Vendor card evaluation; card says OpenAI SimpleEval and internal benchmarks, but exact shots are not stated in the visible table.

Source Microsoft Phi-4 model card

MGSM (Show measurement, test conditions, and source)

Source value: 80.6
Score: 80.6
Metric: percent
Unit: %
Category: mixed
Direction: Higher is better
Source type: vendor-reported
Evaluator: Microsoft Phi-4 model card
Status: active
Retrieved at: 2026-09-08
Methodology: Vendor-reported result. Vendor card evaluation; card says OpenAI SimpleEval and internal benchmarks, but exact shots are not stated in the visible table.

Source Microsoft Phi-4 model card

MATH (Show measurement, test conditions, and source)

Source value: 80.4
Score: 80.4
Metric: percent
Unit: %
Category: mixed
Direction: Higher is better
Source type: vendor-reported
Evaluator: Microsoft Phi-4 model card
Status: active
Retrieved at: 2026-09-08
Methodology: Vendor-reported result. Vendor card evaluation; card says OpenAI SimpleEval and internal benchmarks, but exact shots are not stated in the visible table.

Source Microsoft Phi-4 model card

HumanEval (Show measurement, test conditions, and source)

Source value: 82.6
Score: 82.6
Metric: percent
Unit: %
Category: mixed
Direction: Higher is better
Source type: vendor-reported
Evaluator: Microsoft Phi-4 model card
Status: active
Retrieved at: 2026-09-08
Methodology: Vendor-reported result. Vendor card evaluation; card says OpenAI SimpleEval and internal benchmarks, but exact shots are not stated in the visible table.

Source Microsoft Phi-4 model card

SimpleQA (Show measurement, test conditions, and source)

Source value: 3
Score: 3
Metric: percent
Unit: %
Category: mixed
Direction: Higher is better
Source type: vendor-reported
Evaluator: Microsoft Phi-4 model card
Status: active
Retrieved at: 2026-09-08
Methodology: Vendor-reported result. Vendor card evaluation; card says OpenAI SimpleEval and internal benchmarks, but exact shots are not stated in the visible table.

Source Microsoft Phi-4 model card

DROP (Show measurement, test conditions, and source)

Source value: 75.5
Score: 75.5
Metric: percent
Unit: %
Category: mixed
Direction: Higher is better
Source type: vendor-reported
Evaluator: Microsoft Phi-4 model card
Status: active
Retrieved at: 2026-09-08
Methodology: Vendor-reported result. Vendor card evaluation; card says OpenAI SimpleEval and internal benchmarks, but exact shots are not stated in the visible table.

Source Microsoft Phi-4 model card

Artificial Analysis Intelligence Index (Show measurement, test conditions, and source)

Source value: 5.92257028113751
Score: 5.92257028113751
Metric: points
Unit: points
Direction: Higher is better
Source type: independent-evaluator
Evaluator: Artificial Analysis
Status: active
Retrieved at: 2026-09-08
Methodology: Independent evaluation. unknown

Source Artificial Analysis

AA-Omniscience Index (Show measurement, test conditions, and source)

Source value: -55.7
Score: -55.7
Metric: points
Unit: points
Direction: Higher is better
Source type: independent-evaluator
Evaluator: Artificial Analysis
Status: active
Retrieved at: 2026-09-08
Methodology: Independent evaluation. unknown

Source Artificial Analysis

Output speed (Show measurement, test conditions, and source)

Source value: 41.1335426428294
Score: 41.1335426428294
Metric: tokens/s
Unit: tokens/s
Direction: Higher is better
Source type: independent-evaluator
Evaluator: Artificial Analysis
Status: active
Retrieved at: 2026-09-08
Methodology: Independent evaluation. unknown
Context: Artificial Analysis performance timing; output speed is decoded after the first streaming chunk. Provider basis: first-party API.

Source Artificial Analysis

Latency reasoning time (Show measurement, test conditions, and source)

Source value: 0
Score: 0
Metric: seconds
Unit: seconds
Direction: Lower is better
Source type: independent-evaluator
Evaluator: Artificial Analysis
Status: active
Retrieved at: 2026-09-08
Methodology: Independent evaluation. unknown
Context: Artificial Analysis performance timing; output speed is decoded after the first streaming chunk. Provider basis: first-party API.

Source Artificial Analysis

Latency input time (Show measurement, test conditions, and source)

Source value: 2.51026944500018
Score: 2.51026944500018
Metric: seconds
Unit: seconds
Direction: Lower is better
Source type: independent-evaluator
Evaluator: Artificial Analysis
Status: active
Retrieved at: 2026-09-08
Methodology: Independent evaluation. unknown
Context: Artificial Analysis performance timing; output speed is decoded after the first streaming chunk. Provider basis: first-party API.

Source Artificial Analysis

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Predecessor and successor

Sources and data date

Type	Evidence and data date
Speed	Microsoft. Output speed after the first streaming chunk, not total response time. Retrieved September 8, 2026. Source: Artificial Analysis · Artificial Analysis (retrieved September 8, 2026)Speed measurement methodology
Price	Base API prices without caching or batch discounts. Higher context tiers and other rates are listed under Costs. Source: Pricing · API pricing
Input	Documented modalities. Retrieved September 8, 2026. Source: Model documentation · Model metadata (retrieved September 8, 2026) · Microsoft Phi-4 model card · Editorial description reviewed October 2, 2026
Output	Documented modalities. Retrieved September 8, 2026. Source: Model documentation · Model metadata (retrieved September 8, 2026) · Microsoft Phi-4 model card · Editorial description reviewed October 2, 2026
Research status	Research date September 8, 2026. 2 source URLs checked. This documents the inspected sources, not an exhaustive inventory of every publication.
Not found in the inspected sources	active-parameters-billions Original wording The exact Phi-4 model is dense; the card does not publish a separate active-parameter count.
Additional source	Phi-4 technical paper · Editorial description reviewed October 2, 2026
Additional source	OpenRouter: Popularity index (derived), CC BY 4.0
Additional source	Vercel AI Gateway: Popularity index (derived), CC BY 4.0
Additional source	Creative Commons Attribution 4.0

Phi-4

Specifications and access

Measurements without matching peer values

Our tests

Pelican on a bicycle

Popularity

Published prices

Predecessor and successor

Sources and data date