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Phi-4-mini-instruct

wandb · chat model

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

Input
$8000.0000 / 1M tokens
Output
$35000.0000 / 1M tokens
Cached input
N/A
Context
128.0K

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
$8000.0000 / 1M tokens
Output
$35000.0000 / 1M tokens
Embedding
$8000.0000 / 1M tokens

Token limits

Context window
128.0K
Max input tokens
128.0K
Max output tokens
128.0K
Max tokens
128.0K

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

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-instruct
wandb
In $8000.0000 / 1M tokens
Out $35000.0000 / 1M tokens
Output: unknown
No public capabilities
128.0K
Current model
Reference row

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

Model Cost Input shape Features Context Why it is close
gpt-oss-20b
wandb
In $5000.0000 / 1M tokens
Out $20000.0000 / 1M tokens
Output: unknown
Low overlap
131.1K
Same provider
Overall 27%
gpt-oss-120b
wandb
In $15000.0000 / 1M tokens
Out $60000.0000 / 1M tokens
Output: unknown
Low overlap
131.1K
Same provider
Overall 26%
Llama-3.1-8B-Instruct
wandb
In $22000.0000 / 1M tokens
Out $22000.0000 / 1M tokens
Output: unknown
Low overlap
128.0K
Same provider
Overall 25%
Llama-3.3-70B-Instruct
wandb
In $71000.0000 / 1M tokens
Out $71000.0000 / 1M tokens
Output: unknown
Low overlap
128.0K
Same provider
Overall 21%
DeepSeek-V3.1
wandb
In $55000.0000 / 1M tokens
Out $165000.0000 / 1M tokens
Output: unknown
Low overlap
128.0K
Same provider
Overall 19%
GLM-4.5
wandb
In $55000.0000 / 1M tokens
Out $200000.0000 / 1M tokens
Output: unknown
Low overlap
131.1K
Same provider
Overall 18%
Qwen3-235B-A22B-Instruct-2507
wandb
In $10000.0000 / 1M tokens
Out $10000.0000 / 1M tokens
Output: unknown
Low overlap
262.1K
Same provider
Overall 18%
Qwen3-235B-A22B-Thinking-2507
wandb
In $10000.0000 / 1M tokens
Out $10000.0000 / 1M tokens
Output: unknown
Low overlap
262.1K
Same provider
Overall 18%
Llama-4-Scout-17B-16E-Instruct
wandb
In $17000.0000 / 1M tokens
Out $66000.0000 / 1M tokens
Output: unknown
Low overlap
64.0K
Same provider
Overall 18%
jais-30b-chat
azure_ai
In $3200.0000 / 1M tokens
Out $9710.0000 / 1M tokens
text
Output: text
Low overlap
8.2K
Partial I/O overlap
Overall 8%
ai21.jamba-1-5-large-v1:0
Bedrock
In $2.0000 / 1M tokens
Out $8.0000 / 1M tokens
text
Output: text
Low overlap
256.0K
Partial I/O overlap
Overall 8%
ai21.jamba-1-5-mini-v1:0
Bedrock
In $0.2000 / 1M tokens
Out $0.4000 / 1M tokens
text
Output: text
Low overlap
256.0K
Partial I/O overlap
Overall 8%
ai21.j2-ultra-v1
Bedrock
In $18.8000 / 1M tokens
Out $18.8000 / 1M tokens
text
Output: text
Low overlap
8.2K
Partial I/O overlap
Overall 1%
ai21.j2-mid-v1
Bedrock
In $12.5000 / 1M tokens
Out $12.5000 / 1M tokens
text
Output: text
Low overlap
8.2K
Partial I/O overlap
Overall 1%
us.writer.palmyra-x4-v1:0
bedrock_converse
In $2.5000 / 1M tokens
Out $10.0000 / 1M tokens
pdftext
Output: text
Low overlap
8.2K
Partial I/O overlap
Overall 1%
ai21.jamba-instruct-v1:0
Bedrock
In $0.5000 / 1M tokens
Out $0.7000 / 1M tokens
text
Output: text
Low overlap
4.1K
Partial I/O overlap
Overall 0%