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OpenAI: GPT-4.1 Mini (batch)

openai/gpt-4.1-mini:batch

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GPT-4.1 Mini is a mid-sized model delivering performance competitive with GPT-4o at substantially lower latency and cost. It retains a 1 million token context window and scores 45.1% on hard instruction evals, 35.8% on MultiChallenge, and 84.1% on IFEval. Mini also shows strong coding ability (e.g., 31.6% on Aider’s polyglot diff benchmark) and vision understanding, making it suitable for interactive applications with tight performance constraints.

Modalities

In / Out Price

$0.20 / $0.80per 1M

Context

1.0M

Released

Apr 14, 2025

Knowledge Cutoff

Jun 2024

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ProvidersPricingPerformanceUptimeBenchmarksAppsActivityFAQExplore

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), Floor (cheapest), or Exacto (highest tool-calling accuracy).

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.

Performance

Throughput is how fast the model writes (tokens per second — higher is better). Latency is total round-trip time (lower is better). TTFT is time-to-first-token — how long before you see anything appear (lower is better).

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.

Benchmarks

Scores on standardized evaluations. Higher percentages are better — and rank percentile shows where this model lands among all models on OpenRouter.

Benchmark score summary for OpenAI: GPT-4.1 Mini (batch) (Artificial Analysis and Design Arena)
SourceBenchmarkScore
Artificial AnalysisGPT-4.1 mini Coding Index20.2
Artificial AnalysisGPT-4.1 mini GPQA Diamond66.4%
Artificial AnalysisGPT-4.1 mini HLE5.0%
Artificial AnalysisGPT-4.1 mini IFBench38.3%
Artificial AnalysisGPT-4.1 mini τ²-Bench Telecom52.9%
Artificial AnalysisGPT-4.1 mini AA-LCR44.0%
Artificial AnalysisGPT-4.1 mini GDPval-AA0.0%
Artificial AnalysisGPT-4.1 mini CritPt0.0%
Artificial AnalysisGPT-4.1 mini Terminal-Bench Hard7.6%
Artificial AnalysisGPT-4.1 mini AA-Omniscience Accuracy20.3%
Artificial AnalysisGPT-4.1 mini AA-Omniscience Non-Hallucination Rate7.3%
Design ArenaGPT-4.1 mini Models Arena 3D Elo865
Design ArenaGPT-4.1 mini Models Arena Code Categories Elo1008
Design ArenaGPT-4.1 mini Models Arena Data Visualization Elo1047
Design ArenaGPT-4.1 mini Models Arena Game Development Elo1094
Design ArenaGPT-4.1 mini Models Arena UI Component Elo976
Design ArenaGPT-4.1 mini Models Arena Website Elo1010

Apps

Public apps that send the most traffic to this model. Good signal for what real production workloads look like — and a hint at which use cases this model is best suited for.

Activity

Token volume and request traffic to this model over time.

Quick Start

Drop-in code to call this model. OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. The only thing that changes between models is the model slug below.

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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 customization options.

Not enough data for apps using this model yet.

Frequently asked questions

GPT-4.1 Mini is a mid-sized model delivering performance competitive with GPT-4o at substantially lower latency and cost. It retains a 1 million token context window and scores 45.1% on hard instruction evals, 35.8% on MultiChallenge, and 84.1% on IFEval.

GPT-4.1 Mini (batch) costs $0.20/M input tokens and $0.80/M output tokens, with separate rates for Cache Read at $0.05/M tokens and Web Search at $10.00/1K calls.

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

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

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

GPT-6 Astra, GPT-6 Astra Pro, GPT-5.6 Luna Pro and 55 more are other text models from OpenAI.

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

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