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gpt-4.1-mini-2025-04-14

OpenAI · chat model

gpt-4.1-mini-2025-04-14 is listed here as a chat model from OpenAI. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.

Input
$0.4000 / 1M tokens
Output
$1.6000 / 1M tokens
Cached input
$0.1000 / 1M tokens
Context
32.8K
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
$0.4000 / 1M tokens
Output
$1.6000 / 1M tokens
Cached input
$0.1000 / 1M tokens
Embedding
$0.4000 / 1M tokens
Batch input
$0.2000 / 1M tokens
Batch output
$0.8000 / 1M tokens

Token limits

Context window
32.8K
Max input tokens
1.0M
Max output tokens
32.8K
Max tokens
32.8K

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
SWE-bench Verified 23.6% accuracy (%) Base model: gpt-4.1-mini (GPT-4.1 mini) 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
gpt-4.1-mini-2025-04-14
OpenAI
In $0.4000 / 1M tokens
Out $1.6000 / 1M tokens
imagepdftext
Output: text
VisionFunction callingParallel function callingTool choice
32.8K
Current model
Reference row

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

Model Cost Input shape Features Context Why it is close
GPT-4.1 mini
OpenAI
In $0.4000 / 1M tokens
Out $1.6000 / 1M tokens
imagepdftext
Output: text
VisionFunction callingParallel function callingTool choice
32.8K
Same provider
Overall 100%
gpt-4.1-mini
Azure
In $0.4000 / 1M tokens
Out $1.6000 / 1M tokens
imagepdftext
Output: text
VisionFunction callingParallel function callingTool choice
32.8K
Text + image covered
Overall 94%
gpt-4.1-mini-2025-04-14
Azure
In $0.4000 / 1M tokens
Out $1.6000 / 1M tokens
imagepdftext
Output: text
VisionFunction callingParallel function callingTool choice
32.8K
Text + image covered
Overall 94%
gpt-4.1-mini
OpenRouter
In $0.4000 / 1M tokens
Out $1.6000 / 1M tokens
imagepdftext file
Output: text
VisionFunction callingParallel function callingTool choice
32.8K
Text + image covered
Overall 86%
gpt-4.1-mini
vercel_ai_gateway
In $0.4000 / 1M tokens
Out $1.6000 / 1M tokens
imagepdftext
Output: text
VisionFunction callingTool choiceResponse schema
32.8K
Text + image covered
Overall 86%
GPT-4.1
OpenAI
In $2.0000 / 1M tokens
Out $8.0000 / 1M tokens
imagepdftext
Output: text
VisionFunction callingParallel function callingTool choice
32.8K
Same provider
Overall 84%
gpt-4.1-2025-04-14
OpenAI
In $2.0000 / 1M tokens
Out $8.0000 / 1M tokens
imagepdftext
Output: text
VisionFunction callingParallel function callingTool choice
32.8K
Same provider
Overall 84%
gpt-4.1-nano
OpenAI
In $0.1000 / 1M tokens
Out $0.4000 / 1M tokens
imagepdftext
Output: text
VisionFunction callingParallel function callingTool choice
32.8K
Same provider
Overall 82%
gpt-4.1-nano-2025-04-14
OpenAI
In $0.1000 / 1M tokens
Out $0.4000 / 1M tokens
imagepdftext
Output: text
VisionFunction callingParallel function callingTool choice
32.8K
Same provider
Overall 82%
gpt-5-mini
OpenAI
In $0.2500 / 1M tokens
Out $2.0000 / 1M tokens
imagepdftext
Output: text
VisionFunction callingParallel function callingTool choice
128.0K
Same provider
Overall 81%
gpt-5-mini-2025-08-07
OpenAI
In $0.2500 / 1M tokens
Out $2.0000 / 1M tokens
imagepdftext
Output: text
VisionFunction callingParallel function callingTool choice
128.0K
Same provider
Overall 81%
gpt-5.4-nano
azure_ai
In $0.2000 / 1M tokens
Out $1.2500 / 1M tokens
imagepdftext
Output: text
VisionFunction callingParallel function callingTool choice
128.0K
Text + image covered
Overall 79%
gpt-5.4-mini
azure_ai
In $0.7500 / 1M tokens
Out $4.5000 / 1M tokens
imagepdftext
Output: text
VisionFunction callingParallel function callingTool choice
128.0K
Text + image covered
Overall 75%
gpt-5.4
azure_ai
In $2.5000 / 1M tokens
Out $15.0000 / 1M tokens
imagepdftext
Output: text
VisionFunction callingParallel function callingTool choice
128.0K
Text + image covered
Overall 69%
gpt-5.4-2026-03-05
azure_ai
In $2.5000 / 1M tokens
Out $15.0000 / 1M tokens
imagepdftext
Output: text
VisionFunction callingParallel function callingTool choice
128.0K
Text + image covered
Overall 69%
GLM-4.5
deepinfra
In $0.4000 / 1M tokens
Out $1.6000 / 1M tokens
imagepdftext
Output: text
Function callingTool choice
131.1K
Partial I/O overlap
Overall 57%
Missing image
Qwen3-Coder-480B-A35B-Instruct
deepinfra
In $0.4000 / 1M tokens
Out $1.6000 / 1M tokens
imagepdftext
Output: text
Function callingTool choice
262.1K
Partial I/O overlap
Overall 55%
Missing image
qwen3-vl-235b-a22b-instruct
dashscope
In $0.4000 / 1M tokens
Out $1.6000 / 1M tokens
imagepdftext
Output: unknown
VisionFunction callingTool choice
32.8K
Partial I/O overlap
Overall 43%
Missing text, image