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gpt-4.1

OpenRouter · chat model

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

Input
$2.0000 / 1M tokens
Output
$8.0000 / 1M tokens
Cached input
$0.5000 / 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
$2.0000 / 1M tokens
Output
$8.0000 / 1M tokens
Cached input
$0.5000 / 1M tokens
Embedding
$2.0000 / 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 54.6% accuracy (%) Base model: gpt-4.1 (GPT-4.1) 2026-05-31 Link
Aider Polyglot 51.6% accuracy (%) Base model: gpt-4.1 (GPT-4.1) 2026-05-31 Link
Aider Polyglot 52.9% accuracy (%) Base model: gpt-4.1 (GPT-4.1) 2026-05-31 Link
IFEval 87.4% accuracy (%) Base model: gpt-4.1 (GPT-4.1) 2026-05-31 Link
OpenAI-MRCR: 2 needle 128k 57.2% accuracy (%) Base model: gpt-4.1 (GPT-4.1) 2026-05-31 Link
SWE-bench Verified 54.6% accuracy Base model: GPT-4.1 (gpt-4.1) 2026-05-31 Link
MultiChallenge 38.3% accuracy Base model: GPT-4.1 (gpt-4.1) 2026-05-31 Link
Video-MME 72.0% accuracy Base model: GPT-4.1 (gpt-4.1) 2026-05-31 Link
Aider Polyglot Diff 52.9% pass rate Base model: GPT-4.1 (gpt-4.1) 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
OpenRouter
In $2.0000 / 1M tokens
Out $8.0000 / 1M tokens
fileimagetext
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
Azure
In $2.0000 / 1M tokens
Out $8.0000 / 1M tokens
fileimagetext
Output: text
VisionFunction callingParallel function callingTool choice
32.8K
Text + image covered
Overall 92%
gpt-4.1-2025-04-14
Azure
In $2.0000 / 1M tokens
Out $8.0000 / 1M tokens
fileimagetext
Output: text
VisionFunction callingParallel function callingTool choice
32.8K
Text + image covered
Overall 92%
GPT-4.1
OpenAI
In $2.0000 / 1M tokens
Out $8.0000 / 1M tokens
fileimagetext pdf
Output: text
VisionFunction callingParallel function callingTool choice
32.8K
Text + image covered
Overall 86%
gpt-4.1-2025-04-14
OpenAI
In $2.0000 / 1M tokens
Out $8.0000 / 1M tokens
fileimagetext pdf
Output: text
VisionFunction callingParallel function callingTool choice
32.8K
Text + image covered
Overall 86%
gpt-4.1-mini
OpenRouter
In $0.4000 / 1M tokens
Out $1.6000 / 1M tokens
fileimagetext
Output: text
VisionFunction callingParallel function callingTool choice
32.8K
Same provider
Overall 84%
gpt-4.1
vercel_ai_gateway
In $2.0000 / 1M tokens
Out $8.0000 / 1M tokens
fileimagetext
Output: text
VisionFunction callingTool choiceResponse schema
32.8K
Text + image covered
Overall 81%
gpt-4.1-nano
OpenRouter
In $0.1000 / 1M tokens
Out $0.4000 / 1M tokens
fileimagetext
Output: text
VisionFunction callingParallel function callingTool choice
32.8K
Same provider
Overall 81%
gpt-5.2-chat
OpenRouter
In $1.7500 / 1M tokens
Out $14.0000 / 1M tokens
fileimagetext
Output: text
VisionFunction callingTool choicePrompt caching
16.4K
Same provider
Overall 76%
claude-opus-4.5
OpenRouter
In $5.0000 / 1M tokens
Out $25.0000 / 1M tokens
fileimagetext
Output: text
VisionFunction callingTool choicePrompt caching
32.0K
Same provider
Overall 73%
openai
OpenRouter
In $15.0000 / 1M tokens
Out $60.0000 / 1M tokens
fileimagetext
Output: text
VisionFunction callingParallel function callingTool choice
100.0K
Same provider
Overall 73%
gpt-4o
OpenRouter
In $2.5000 / 1M tokens
Out $10.0000 / 1M tokens
fileimagetext
Output: text
VisionFunction callingParallel function callingTool choice
4.1K
Same provider
Overall 72%
claude-3-5-sonnet
vercel_ai_gateway
In $3.0000 / 1M tokens
Out $15.0000 / 1M tokens
fileimagetext
Output: text
VisionFunction callingTool choicePrompt caching
8.2K
Text + image covered
Overall 71%
claude-3-5-sonnet-20241022
vercel_ai_gateway
In $3.0000 / 1M tokens
Out $15.0000 / 1M tokens
fileimagetext
Output: text
VisionFunction callingTool choicePrompt caching
8.2K
Text + image covered
Overall 71%
claude-4-sonnet
replicate
In $3.0000 / 1M tokens
Out $15.0000 / 1M tokens
fileimagetext
Output: text
VisionFunction callingParallel function callingTool choice
N/A
Text + image covered
Overall 69%
claude-3.7-sonnet
replicate
In $3.0000 / 1M tokens
Out $15.0000 / 1M tokens
fileimagetext
Output: text
VisionFunction callingParallel function callingTool choice
N/A
Text + image covered
Overall 69%
claude-4.5-sonnet
replicate
In $3.0000 / 1M tokens
Out $15.0000 / 1M tokens
fileimagetext
Output: text
VisionFunction callingParallel function callingTool choice
N/A
Text + image covered
Overall 69%
claude-4.5-haiku
replicate
In $1.0000 / 1M tokens
Out $5.0000 / 1M tokens
fileimagetext
Output: text
VisionFunction callingParallel function callingTool choice
N/A
Text + image covered
Overall 68%
azure
Azure
In $2.0000 / 1M tokens
Out $8.0000 / 1M tokens
fileimagetext
Output: text
VisionFunction callingTool choicePrompt caching
100.0K
Partial I/O overlap
Overall 57%
Missing text, image
o3-2025-04-16
Azure
In $2.0000 / 1M tokens
Out $8.0000 / 1M tokens
fileimagetext
Output: text
VisionFunction callingTool choicePrompt caching
100.0K
Partial I/O overlap
Overall 57%
Missing text, image
ai21.jamba-1-5-large-v1:0
Bedrock
In $2.0000 / 1M tokens
Out $8.0000 / 1M tokens
fileimagetext
Output: text
Low overlap
256.0K
Partial I/O overlap
Overall 46%
Missing image