LLM Pricing
← All models

Phi-4-mini-reasoning

azure_ai · chat model

Phi-4-mini-reasoning is listed here as a chat model from azure_ai. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.

Input
$0.0800 / 1M tokens
Output
$0.3200 / 1M tokens
Cached input
N/A
Context
4.1K
Compare similar models Open a side-by-side table using this route and the closest match from the current catalog. Estimate workload cost Use token counts, request volume, and cache assumptions to check a realistic monthly bill. Explore benchmark family Review source-backed benchmark rows for the attached base model family. Check data sources See how pricing data is generated and what still needs provider verification.

Quick read

Best for

Use this page when you need a fast view of cost, context size, and supported features before testing the model in your own workload.

Things to verify

Always check the provider page for discounts, cache pricing, region rules, and any model limits that may not appear in public metadata.

Pricing

Item Price
Input
$0.0800 / 1M tokens
Output
$0.3200 / 1M tokens
Embedding
$0.0800 / 1M tokens

Token limits

Context window
4.1K
Max input tokens
131.1K
Max output tokens
4.1K
Max tokens
4.1K

Capabilities

Capability Supported
Vision —
Function calling ✅
Parallel function calling —
Tool choice —
Prompt caching —
Reasoning —
Response schema —
System messages —
Audio input —
Audio output —
Web search —
PDF input —
Video input —

Benchmarks

Most benchmark rows are attached to the base model family rather than this provider route. Open benchmark explorer

Benchmark Score Metric Scope Checked Source
MMLU 84.8 Popular Aggregated Benchmark Base model: Phi-4 (phi-4 (14B)) 2026-05-31 Link
GPQA 56.1 Science Base model: Phi-4 (phi-4 (14B)) 2026-05-31 Link
HumanEval 82.6 Code Generation Base model: Phi-4 (phi-4 (14B)) 2026-05-31 Link
DROP 75.5 Reasoning Base model: Phi-4 (phi-4 (14B)) 2026-05-31 Link
MMLU 84.8 Popular Aggregated Benchmark Base model: Phi-4 (phi-4 (14B)) 2026-05-31 Link
GPQA 56.1 Science Base model: Phi-4 (phi-4 (14B)) 2026-05-31 Link
HumanEval 82.6 Code Generation Base model: Phi-4 (phi-4 (14B)) 2026-05-31 Link
SimpleQA 3.0 Factual Knowledge Base model: Phi-4 (phi-4 (14B)) 2026-05-31 Link
DROP 75.5 Reasoning Base model: Phi-4 (phi-4 (14B)) 2026-05-31 Link

Sources

Source links
Pricing data LiteLLM model cost map
Synced at 2026-05-28

Docs

Official docs

Similar models

This list is ranked by overall similarity. Use filters to emphasize the lens that matters most for the replacement you are making.

Comparing from
Model Cost Input shape Features Context Why it is close
Phi-4-mini-reasoning
azure_ai
In $0.0800 / 1M tokens
Out $0.3200 / 1M tokens
text
Output: text
Function calling
4.1K
Current model
Reference row

Overall blends cost, modality overlap, capabilities, and context.

Model Cost Input shape Features Context Why it is close
Phi-4-mini-instruct
azure_ai
In $0.0750 / 1M tokens
Out $0.3000 / 1M tokens
text
Output: text
Function calling
4.1K
Same provider
Overall 99%
meta.llama3-2-1b-instruct-v1:0
Bedrock
In $0.1000 / 1M tokens
Out $0.1000 / 1M tokens
text
Output: text
Function calling
4.1K
Text covered
Overall 91%
us.meta.llama3-2-1b-instruct-v1:0
Bedrock
In $0.1000 / 1M tokens
Out $0.1000 / 1M tokens
text
Output: text
Function calling
4.1K
Text covered
Overall 91%
eu.meta.llama3-2-3b-instruct-v1:0
Bedrock
In $0.1900 / 1M tokens
Out $0.1900 / 1M tokens
text
Output: text
Function calling
4.1K
Text covered
Overall 90%
eu.meta.llama3-2-1b-instruct-v1:0
Bedrock
In $0.1300 / 1M tokens
Out $0.1300 / 1M tokens
text
Output: text
Function calling
4.1K
Text covered
Overall 90%
mistral-nemo
azure_ai
In $0.1500 / 1M tokens
Out $0.1500 / 1M tokens
text
Output: text
Function calling
4.1K
Same provider
Overall 90%
meta.llama3-1-8b-instruct-v1:0
Bedrock
In $0.2200 / 1M tokens
Out $0.2200 / 1M tokens
text
Output: text
Function calling
2.0K
Text covered
Overall 83%
us.meta.llama3-1-8b-instruct-v1:0
Bedrock
In $0.2200 / 1M tokens
Out $0.2200 / 1M tokens
text
Output: text
Function calling
2.0K
Text covered
Overall 83%
command-r-plus
Azure
In $3.0000 / 1M tokens
Out $15.0000 / 1M tokens
text
Output: text
Function calling
4.1K
Text covered
Overall 80%
Phi-4-reasoning
azure_ai
In $0.1250 / 1M tokens
Out $0.5000 / 1M tokens
text
Output: text
Function calling
4.1K
Same provider
Overall 76%
ministral-3b
azure_ai
In $0.0400 / 1M tokens
Out $0.0400 / 1M tokens
text
Output: text
Function calling
4.1K
Same provider
Overall 73%
mistral.mistral-large-2402-v1:0
Bedrock
In $8.0000 / 1M tokens
Out $24.0000 / 1M tokens
text
Output: text
Function calling
8.2K
Text covered
Overall 73%
mistral.mistral-large-2402-v1:0
Bedrock
In $8.0000 / 1M tokens
Out $24.0000 / 1M tokens
text
Output: text
Function calling
8.2K
Text covered
Overall 73%
mistral.mistral-large-2402-v1:0
Bedrock
In $10.4000 / 1M tokens
Out $31.2000 / 1M tokens
text
Output: text
Function calling
8.2K
Text covered
Overall 73%
Phi-4
azure_ai
In $0.1250 / 1M tokens
Out $0.5000 / 1M tokens
text
Output: text
Function calling
16.4K
Same provider
Overall 69%
mistral-large-2407
azure_ai
In $2.0000 / 1M tokens
Out $6.0000 / 1M tokens
text
Output: text
Function calling
4.1K
Same provider
Overall 68%
Phi-4-multimodal-instruct
azure_ai
In $0.0800 / 1M tokens
Out $0.3200 / 1M tokens
text audioimage
Output: text
Function calling
4.1K
Same provider
Overall 67%
Llama-4-Scout-17B-16E-Instruct
deepinfra
In $0.0800 / 1M tokens
Out $0.3000 / 1M tokens
text image
Output: text
Function calling
327.7K
Text covered
Overall 60%
eu.amazon.nova-lite-v1:0
bedrock_converse
In $0.0780 / 1M tokens
Out $0.3120 / 1M tokens
text imagepdf
Output: text
Function calling
10.0K
Text covered
Overall 55%
gemini-2.0-flash-lite
vertex_ai-language-models
In $0.0750 / 1M tokens
Out $0.3000 / 1M tokens
text audioimage
Output: text
Function calling
N/A
Text covered
Overall 44%
gemini-2.0-flash-lite-001
vertex_ai-language-models
In $0.0750 / 1M tokens
Out $0.3000 / 1M tokens
text audioimage
Output: text
Function calling
N/A
Text covered
Overall 44%