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Phi-3-mini-128k-instruct

azure_ai · chat model

Phi-3-mini-128k-instruct 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
$0.1300 / 1M tokens
Output
$0.5200 / 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
$0.1300 / 1M tokens
Output
$0.5200 / 1M tokens
Embedding
$0.1300 / 1M tokens

Token limits

Context window
4.1K
Max input tokens
128.0K
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 75.5 5-shot Base model: Phi-3 (Phi-3-Small-128K-Instruct) 2026-05-31 Link
ARC-Challenge 90.8 10-shot Base model: Phi-3 (Phi-3-Small-128K-Instruct) 2026-05-31 Link
GSM8K (CoT) 87.3 8-shot Base model: Phi-3 (Phi-3-Small-128K-Instruct) 2026-05-31 Link
HumanEval 59.1 0-shot Base model: Phi-3 (Phi-3-Small-128K-Instruct) 2026-05-31 Link
AGI Eval 39.5 5-shot Base model: Phi-3 (Phi-3-Mini-128K-Instruct) 2026-05-31 Link
MMLU 69.7 5-shot Base model: Phi-3 (Phi-3-Mini-128K-Instruct) 2026-05-31 Link
BigBench Hard 72.1 3-shot Base model: Phi-3 (Phi-3-Mini-128K-Instruct) 2026-05-31 Link
ANLI 52.3 7-shot Base model: Phi-3 (Phi-3-Mini-128K-Instruct) 2026-05-31 Link
HellaSwag 70.5 5-shot Base model: Phi-3 (Phi-3-Mini-128K-Instruct) 2026-05-31 Link
ARC-Challenge 85.5 10-shot Base model: Phi-3 (Phi-3-Mini-128K-Instruct) 2026-05-31 Link
ARC Easy 97.3 10-shot Base model: Phi-3 (Phi-3-Small-128K-Instruct) 2026-05-31 Link
BoolQ 83.7 2-shot Base model: Phi-3 (Phi-3-Small-128K-Instruct) 2026-05-31 Link
CommonsenseQA 80.8 10-shot Base model: Phi-3 (Phi-3-Small-128K-Instruct) 2026-05-31 Link
MedQA 46.3 2-shot Base model: Phi-3 (Phi-3-Small-128K-Instruct) 2026-05-31 Link
OpenBookQA 87.8 10-shot Base model: Phi-3 (Phi-3-Small-128K-Instruct) 2026-05-31 Link
PIQA 88.1 5-shot Base model: Phi-3 (Phi-3-Small-128K-Instruct) 2026-05-31 Link
Social IQA 78.7 5-shot Base model: Phi-3 (Phi-3-Small-128K-Instruct) 2026-05-31 Link
TruthfulQA (MC2) 69.6 10-shot Base model: Phi-3 (Phi-3-Small-128K-Instruct) 2026-05-31 Link
WinoGrande 80.1 5-shot Base model: Phi-3 (Phi-3-Small-128K-Instruct) 2026-05-31 Link
TriviaQA 66.0 5-shot Base model: Phi-3 (Phi-3-Small-128K-Instruct) 2026-05-31 Link
GSM8K (CoT) 87.3 8-shot Base model: Phi-3 (Phi-3-Small-128K-Instruct) 2026-05-31 Link
HumanEval 59.1 0-shot Base model: Phi-3 (Phi-3-Small-128K-Instruct) 2026-05-31 Link
MBPP 70.3 3-shot Base model: Phi-3 (Phi-3-Small-128K-Instruct) 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-3-mini-128k-instruct
azure_ai
In $0.1300 / 1M tokens
Out $0.5200 / 1M tokens
text
Output: text
Tool choice
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-3-mini-4k-instruct
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In $0.1300 / 1M tokens
Out $0.5200 / 1M tokens
text
Output: text
Tool choice
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Same provider
Overall 100%
Phi-3.5-mini-instruct
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In $0.1300 / 1M tokens
Out $0.5200 / 1M tokens
text
Output: text
Tool choice
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Overall 100%
llama-2-13b
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In $0.1000 / 1M tokens
Out $0.5000 / 1M tokens
text
Output: text
Tool choice
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Text covered
Overall 98%
llama-2-13b-chat
replicate
In $0.1000 / 1M tokens
Out $0.5000 / 1M tokens
text
Output: text
Tool choice
4.1K
Text covered
Overall 98%
Phi-3-small-128k-instruct
azure_ai
In $0.1500 / 1M tokens
Out $0.6000 / 1M tokens
text
Output: text
Tool choice
4.1K
Same provider
Overall 97%
Phi-3-small-8k-instruct
azure_ai
In $0.1500 / 1M tokens
Out $0.6000 / 1M tokens
text
Output: text
Tool choice
4.1K
Same provider
Overall 97%
Phi-3.5-MoE-instruct
azure_ai
In $0.1600 / 1M tokens
Out $0.6400 / 1M tokens
text
Output: text
Tool choice
4.1K
Same provider
Overall 96%
Phi-3-medium-128k-instruct
azure_ai
In $0.1700 / 1M tokens
Out $0.6800 / 1M tokens
text
Output: text
Tool choice
4.1K
Same provider
Overall 95%
Phi-4-reasoning
azure_ai
In $0.1250 / 1M tokens
Out $0.5000 / 1M tokens
text
Output: text
Tool choice
4.1K
Same provider
Overall 83%
gpt-35-turbo-16k
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In $3.0000 / 1M tokens
Out $4.0000 / 1M tokens
text
Output: text
Tool choice
4.1K
Text covered
Overall 82%
Meta-Llama-3-70B-Instruct
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In $1.1000 / 1M tokens
Out $0.3700 / 1M tokens
text
Output: text
Tool choice
2.0K
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Overall 81%
gpt-4-32k
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In $60.0000 / 1M tokens
Out $120.0000 / 1M tokens
text
Output: text
Tool choice
4.1K
Text covered
Overall 80%
gpt-4-32k-0613
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In $60.0000 / 1M tokens
Out $120.0000 / 1M tokens
text
Output: text
Tool choice
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Overall 80%
anthropic.claude-instant-v1
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In $0.8000 / 1M tokens
Out $2.4000 / 1M tokens
text
Output: text
Tool choice
8.2K
Text covered
Overall 76%
Phi-3.5-vision-instruct
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In $0.1300 / 1M tokens
Out $0.5200 / 1M tokens
text image
Output: text
Tool choice
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Overall 75%
Phi-4
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In $0.1250 / 1M tokens
Out $0.5000 / 1M tokens
text
Output: text
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anthropic.claude-v2:1
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In $8.0000 / 1M tokens
Out $24.0000 / 1M tokens
text
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databricks-gemma-3-12b
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In $0.1500 / 1M tokens
Out $0.5000 / 1M tokens
text
Output: unknown
Low overlap
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Partial I/O overlap
Overall 20%
Missing text