Released on Oct 17, 2025

Phi 4 Mini Instruct API Benchmarks, Pricing & Provider Data

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Phi 4 Mini Instruct benchmark, API pricing, and provider data cover 22 API providers, with prices starting at $0.0011/M.

Microsoft Phi 4 Mini Instruct is a compact instruction-tuned variant in the Phi series, optimized for quick responses and high throughput.

Cost
$0.0011/ 1M · 8:1 in:out
$0.0002 in · $0.0009 out

Category Performance

Observed-capability estimates with uncertainty reported separately from independent benchmark families.

Coverage
3 / 8
Methodology
V3.0
Category PerformanceObserved-capability estimates with uncertainty reported separately from independent benchmark families.Agents-Coding38.8Reasoning34.2Knowledge-Math42Multilingual-Multimodal-Instruction following-
#1Math42Estimated2/4 Measured dimensions
80% interval: 30.253.8
foundational math43.8
math_500 · math_500
competition math40.2
aime · aime
proof frontierPrior only
applied tool mathPrior only
#2Coding38.8Provisional1/4 Measured dimensions
80% interval: 22.854.7
code generation38.8
livecodebench · livecodebench
repository engineeringPrior only
debugging testingPrior only
tooling qualityPrior only
#3Reasoning34.2Estimated2/4 Measured dimensions
80% interval: 23.145.4
abstract logicPrior only
scientific causal37.4
gpqa · gpqa / hle · hle
multistep constraints31
mmlu_pro · mmlu_pro
evidence verificationPrior only
No data:AgentsKnowledgeMultilingualMultimodalInstruction following

Specifications

Input and output token limits for this model, plus how it ranks on long-context understanding.

INPUT
131.1Ktokens
157.3 pages of text
OUTPUT
128Ktokens
8K128K1M4M
131.1K

Features

Technical Details

Input
Output
Released
Oct 2025
Tokenizer
Other
Architecture
text->text
Moderated
No
Supported parameters
frequency_penaltylogprobsmax_tokenspresence_penaltyrepetition_penaltyresponse_formatseedstopstructured_outputstemperaturetop_ktop_logprobstop_p

Rankings

Excels at

Detailed scores

Updated: Sep 5, 2026

Speed & latency

undefined metric} other undefined metrics}}

Output speed46.6 tok/s#69 / 80Time to first token0.36 s#4 / 80
Output speed
LMSpeed rank#69
Score46.6 tok/s
UpdatedSep 5, 2026
Confidence4
Time to first token
LMSpeed rank#4
Score0.36 s
UpdatedSep 5, 2026
Confidence4

Agents

V3.0

undefined metric} other undefined metrics}} · No data

No data80% interval30.8–69.20/4 Measured dimensions
Dimensions and evidence
Planning & decompositionPrior only
Tool usePrior only
Environment & long-horizon executionPrior only
Recovery & completion reliabilityPrior only

Coding

V3.0

undefined metric} other undefined metrics}} · Provisional

Score38.880% interval22.8–54.71/4 Measured dimensionsLiveCodeBench12.6%#114 / 115
Dimensions and evidence
Code generation38.8
undefined family} other undefined families}} · undefined metric} other undefined metrics}}
livecodebench · livecodebench · z -1.22 · q 1.00
Repository engineeringPrior only
Debugging & testingPrior only
Tool-assisted development & qualityPrior only
LiveCodeBenchV3 evidence
LMSpeed rank#114
Score12.6%
UpdatedSep 5, 2026
Confidence4

Reasoning

V3.0

undefined metric} other undefined metrics}} · Estimated

Score34.280% interval23.1–45.42/4 Measured dimensionsMMLU-Pro46.5%#127 / 129GPQA33.1%#213 / 217
Dimensions and evidence
Abstract logicPrior only
Scientific & causal reasoning37.4
undefined family} other undefined families}} · undefined metric} other undefined metrics}}
gpqa · gpqa · z -1.83 · q 1.00
hle · hle · z -0.83 · q 1.00
Multi-step constraints31
undefined family} other undefined families}} · undefined metric} other undefined metrics}}
mmlu_pro · mmlu_pro · z -2.73 · q 1.00
Evidence integration & verificationPrior only
MMLU-ProV3 evidence
LMSpeed rank#127
Score46.5%
UpdatedSep 5, 2026
Confidence4
GPQAV3 evidence
LMSpeed rank#213
Score33.1%
UpdatedSep 5, 2026
Confidence4
HLEV3 evidence
LMSpeed rank#171
Score4.4%
UpdatedSep 5, 2026
Confidence4

Knowledge

V3.0

undefined metric} other undefined metrics}} · No data

No data80% interval30.8–69.20/4 Measured dimensions
Dimensions and evidence
Broad knowledgePrior only
Professional knowledgePrior only
FactualityPrior only
Retrieval & open-book usePrior only

Math

V3.0

undefined metric} other undefined metrics}} · Estimated

Score4280% interval30.2–53.82/4 Measured dimensionsAIME3.0%#65 / 68MATH-50069.6%#60 / 73
Dimensions and evidence
Foundational math43.8
undefined family} other undefined families}} · undefined metric} other undefined metrics}}
math_500 · math_500 · z -0.80 · q 1.00
Competition math40.2
undefined family} other undefined families}} · undefined metric} other undefined metrics}}
aime · aime · z -1.33 · q 1.00
Advanced proofsPrior only
Applied & tool-assisted mathPrior only
AIMEV3 evidence
LMSpeed rank#65
Score3.0%
UpdatedSep 5, 2026
Confidence4
MATH-500V3 evidence
LMSpeed rank#60
Score69.6%
UpdatedSep 5, 2026
Confidence4

Multilingual

V3.0

undefined metric} other undefined metrics}} · No data

No data80% interval30.8–69.20/4 Measured dimensions
Dimensions and evidence
Cross-language understandingPrior only
Multilingual generationPrior only
Reasoning transferPrior only
Low-resource robustnessPrior only

Multimodal

V3.0

undefined metric} other undefined metrics}} · No data

No data80% interval30.8–69.20/4 Measured dimensions
Dimensions and evidence
Perception & OCRPrior only
Document & spatial understandingPrior only
Visual reasoningPrior only
Video & grounded actionPrior only

Instruction following

V3.0

undefined metric} other undefined metrics}} · No data

No data80% interval30.8–69.20/4 Measured dimensions
Dimensions and evidence
Constraint followingPrior only
Structured outputPrior only
Novel-instruction generalizationPrior only
Multi-turn & long instructionsPrior only

Pricing Comparison

Compare Phi 4 Mini Instruct API pricing across 22 providers. Prices range from $0.0011/M to $799.20/M. 6345ywz API offers the lowest rate at $0.0011/M.

ProviderHealthModel VariantGroupInput ($/M)Output ($/M)Speed (t/s)First tokenAudit
L1
100%
phi-4-mini-instruct
enterprise_emergency_standby
$57.53/M
$57.53/M
L1
100%
L2
87%
microsoft/phi-4-mini-instruct
default
$0.080/M
Cache read$0.080/M
$0.350/M
L1
100%
microsoft/phi-4-mini-instruct
default
$375.00/M
$375.00/M
L1
100%
phi-4-mini-instruct
default
$0.010/request
-
L1
100%
microsoft/phi-4-mini-instruct
default
$0.010/request
-
L1
99%
microsoft/phi-4-mini-instruct
default
$75.00/M
$75.00/M
L1
99%
microsoft/phi-4-mini-instruct
0倍倍率分组
$0.0011/M
Cache read$0.0011/M
$0.0048/M
L1
80%
microsoft/phi-4-mini-instruct
2api
$0.080/M
Cache read$0.080/M
$0.350/M
L1
0%
microsoft/phi-4-mini-instruct
default
$799.20/M
Cache read$799.20/M
$3496.50/M
L1
0%
microsoft/phi-4-mini-instruct
懒人
$0.080/M
Cache read$0.080/M
$0.350/M
L1
0%
microsoft/phi-4-mini-instruct
default
$0.080/M
Cache read$0.080/M
$0.350/M
L1
0%
phi-4-mini-instruct
default
$75.00/M
$75.00/M

Alternatives & Similar Models

Frequently Asked Questions

What benchmark data does Phi 4 Mini Instruct include?
LMSpeed shows Phi 4 Mini Instruct benchmark context, API price, output speed, first-token latency, and provider data across 22 providers when those signals are available.
What is the Phi 4 Mini Instruct API price?
Phi 4 Mini Instruct has pricing from 22 providers, ranging from $0.0011/M to $799.20/M. 6345ywz API has the lowest listed price.
What does the Phi 4 Mini Instruct API pricing table include?
The Phi 4 Mini Instruct API pricing table compares 22 providers by input price, output price, free tier status, speed, first-token latency, and recent health data when available.
Which provider has the cheapest Phi 4 Mini Instruct API pricing?
6345ywz API currently has the lowest listed Phi 4 Mini Instruct price at $0.0011/M across 22 providers.
Is Phi 4 Mini Instruct API free?
Phi 4 Mini Instruct does not currently have a free API tier on LMSpeed. All 22 providers charge per token.

Also known as

microsoft/phi-4-mini-instructopenrouter:microsoft/phi-4-mini-instructphi-4-mini-instruct英伟达/microsoft/phi-4-mini-instruct

Rankings are based on community-submitted tests and periodic health probes. Advisory only, not official data.Artificial AnalysisStandard benchmark data may include BenchLM and other public sources.

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