Where is the GPT-4.1 (batch) documentation?

The GPT-4.1 (batch) documentation on OpenRouter includes the Quasar Alpha and Optimus Alpha Reveal blog post. The quickstart covers API keys and your first request, and the API reference lists every parameter.

How much does GPT-4.1 (batch) cost?

GPT-4.1 (batch) costs $1.00/M input tokens and $4.00/M output tokens, with separate rates for Cache Read at $0.25/M tokens and Web Search at $10.00/1K calls.

What is the context length of GPT-4.1 (batch)?

GPT-4.1 (batch) has a 1,047,576 token context window. It supports up to 32,768 completion tokens.

Does GPT-4.1 (batch) support tool calling and structured outputs?

Yes. GPT-4.1 (batch) accepts tools and tool_choice for function calling. It also supports structured outputs via a JSON schema in response_format.

What inputs and outputs does GPT-4.1 (batch) support?

GPT-4.1 (batch) accepts images, text, and files such as PDFs as input and returns text.

Which providers serve GPT-4.1 (batch)?

GPT-4.1 (batch) is served by 1 provider on OpenRouter: OpenAI.

What other text models does OpenAI have?

GPT-6.1 Terra Pro, GPT-6.1 Terra, GPT-6 Luna Decisions and 58 more are other text models from OpenAI.

When was GPT-4.1 (batch) released?

GPT-4.1 (batch) was released on April 14, 2025. Its knowledge cutoff is June 30, 2024.

OpenAI: GPT-4.1 (batch)

openai/gpt-4.1:batch

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GPT-4.1 is a flagship large language model optimized for advanced instruction following, real-world software engineering, and long-context reasoning. It supports a 1 million token context window and outperforms GPT-4o and GPT-4.5 across coding (54.6% SWE-bench Verified), instruction compliance (87.4% IFEval), and multimodal understanding benchmarks. It is tuned for precise code diffs, agent reliability, and high recall in large document contexts, making it ideal for agents, IDE tooling, and enterprise knowledge retrieval.

Modalities

In / out price

$1 / $4per 1M

Context

1.0M

Released

Apr 14, 2025

Knowledge cutoff

Jun 2024

Providers

Different companies host the same model. OpenRouter routes your request to one of them based on the routing mode you pick: Balanced (price + speed), Nitro (fastest), or Floor (cheapest).


BYOK only	$1.00	$4.00	$0.25	--	--	--

Input $1.00Output $4.00
BYOK only
-- tok/s-- uptime

Pricing

The average price customers actually pay for this model, next to the prices providers post. Caching and discounts mean the price actually paid is often well below the listed one.

Weighted average

Input

$0/M tokens

Output

$0/M tokens

GPT-4.1 (batch) — Price history

Price history

No effective price data for this selection

		$0.00	$0.00	0.0%	100.0%

Effective in $0.00Effective out $0.00
Token share
100.0%

Uptime

Uptime is the percentage of the past 3 days that at least one provider was responding to requests. Availability is the percentage of time that inference was successfully served. OpenRouter continuously monitors and uses the next-best provider when one returns an error.

Not enough uptime data to display yet.

When an error occurs in an upstream provider, we can recover by routing to another healthy provider, if your request filters allow it. You can access per-provider uptime data programmatically through the Endpoints API. Learn more about our load balancing and provider routing options.

Benchmarks

Scores on standardized evaluations and this model’s own outputs on shared benchmark prompts. Higher percentages are better — and each rank shows where this model lands among the models evaluated on that source.

Benchmark score summary for OpenAI: GPT-4.1 (batch) (Artificial Analysis, Design Arena and Vals AI)
Source	Benchmark	Score
Artificial Analysis	GPT-4.1 GPQA Diamond	66.6%
Artificial Analysis	GPT-4.1 HLE	4.2%
Artificial Analysis	GPT-4.1 IFBench	43.0%
Artificial Analysis	GPT-4.1 τ²-Bench Telecom	47.1%
Artificial Analysis	GPT-4.1 AA-LCR	68.3%
Artificial Analysis	GPT-4.1 CritPt	0.0%
Artificial Analysis	GPT-4.1 LiveCodeBench	45.7%
Artificial Analysis	GPT-4.1 Terminal-Bench Hard	13.6%
Artificial Analysis	GPT-4.1 MMLU-Pro	80.6%
Artificial Analysis	GPT-4.1 AIME 2025	34.7%
Artificial Analysis	GPT-4.1 AIME	43.7%
Artificial Analysis	GPT-4.1 MATH-500	91.3%
Design Arena	GPT-4.1 Models Arena 3D Elo	830
Design Arena	GPT-4.1 Models Arena Code Categories Elo	1015
Design Arena	GPT-4.1 Models Arena Data Visualization Elo	1104
Design Arena	GPT-4.1 Models Arena Game Development Elo	1069
Design Arena	GPT-4.1 Models Arena UI Component Elo	990
Design Arena	GPT-4.1 Models Arena Website Elo	1030
Vals AI	GPT 4.1 AIME	39.6%
Vals AI	GPT 4.1 CaseLaw v2	69.9%
Vals AI	GPT 4.1 CorpFin v2	63.1%
Vals AI	GPT 4.1 Finance Agent v1	24.6%
Vals AI	GPT 4.1 GPQA Diamond	65.4%
Vals AI	GPT 4.1 LiveCodeBench	54.7%
Vals AI	GPT 4.1 LegalBench	83.1%
Vals AI	GPT 4.1 MATH 500	87.2%
Vals AI	GPT 4.1 MedQA	91.2%
Vals AI	GPT 4.1 MGSM	87.7%
Vals AI	GPT 4.1 MMLU Pro	80.5%
Vals AI	GPT 4.1 MMMU Pro	72.4%
Vals AI	GPT 4.1 MortgageTax	65.9%
Vals AI	GPT 4.1 TaxEval v2	75.1%
Vals AI	GPT 4.1 Terminal-Bench 2.0	14.6%

Not currently available through EU in-region routing. In-region routing docs

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GPT Image 2.6 Sunburst is OpenAI's image generation and editing model optimized for detail: dense compositions, text-heavy layouts, and edits that keep details consistent from one edit to the next at medium or high quality, generating about 50% faster than GPT Image 2.5. It takes text and image inputs and produces images, with quality tiers from low to max, transparent backgrounds, and custom sizes in multiples of 16 pixels at aspect ratios from 1:3 to 3:1. GPT Image 2.6 introduces a complexity setting for how much the model plans before rendering, markup-guided edits, animated GIF output, and SVG output. Choose Flare instead when speed matters more than fine detail.

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GPT-6.1 Terra Pro

GPT-6.1 Terra Pro is the same underlying model as GPT-6.1 Terra, served with reasoning.mode set to pro for higher-quality responses on complex tasks.

Cost note: pro mode spends far more reasoning tokens per request, so a typical request costs several times more than the same request on GPT-6.1 Terra and takes much longer to complete. It is intended for hard, high-stakes problems where the extra accuracy justifies the cost. For everyday coding, agentic, and chat workloads, use GPT-6.1 Terra instead.

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GPT-6.1 Terra Pro (batch)

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GPT-6.1 Terra (batch)

Text1.1M context$0.50 / $2.50

GPT-6 Luna Decisions

GPT-6 Luna Decisions is GPT-6 Luna served through OpenAI's Decisions API. Instead of generating text, it reads the content passed as state (text, JSON, or images) and returns typed, probabilistic answers to named questions in a single request: the probability of yes for a yes/no question (noul), a probability for every option plus the most likely one (choice), or a probability for every level of an ordered rubric plus the expected score (score).

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Text1.1M context$1 / $5

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Text1.1M context$0.10 / $0.50

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Text1.1M context$0.05 / $0.25

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GPT Astra Latest

This model always redirects to the latest model in the GPT Astra family.

Text1.1M context

OpenAI: GPT-4.1 (batch)

Providers

Pricing

Weighted average

GPT-4.1 (batch) — Price history

Performance

Uptime

Benchmarks

Apps

Activity

API

Documentation

Frequently asked questions

Explore more models

More models from OpenAI

More models from OpenAI

OpenAI: GPT-4.1 (batch)

Providers

Pricing

Weighted average

GPT-4.1 (batch) — Price history

Performance

Uptime

Benchmarks

Apps

Activity

API

Documentation

Frequently asked questions

What is GPT-4.1 (batch)?

Where is the GPT-4.1 (batch) documentation?

How much does GPT-4.1 (batch) cost?

What is the context length of GPT-4.1 (batch)?

Does GPT-4.1 (batch) support tool calling and structured outputs?

What inputs and outputs does GPT-4.1 (batch) support?

Which providers serve GPT-4.1 (batch)?

What other text models does OpenAI have?

When was GPT-4.1 (batch) released?

Explore more models

More models from OpenAI

More models from OpenAI