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OpenAI: GPT-5.4 Mini (batch)

openai/gpt-5.4-mini:batch

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GPT-5.4 mini brings the core capabilities of GPT-5.4 to a faster, more efficient model optimized for high-throughput workloads. It supports text and image inputs with strong performance across reasoning, coding, and tool use, while reducing latency and cost for large-scale deployments.

The model is designed for production environments that require a balance of capability and efficiency, making it well suited for chat applications, coding assistants, and agent workflows that operate at scale. GPT-5.4 mini delivers reliable instruction following, solid multi-step reasoning, and consistent performance across diverse tasks with improved cost efficiency.

Modalities

In / Out Price

$0.375 / $2.25per 1M

Context

400K

Released

Mar 17, 2026

Knowledge Cutoff

Aug 2025

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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-5.4 Mini (batch) (Artificial Analysis)
SourceBenchmarkScore
Artificial AnalysisGPT-5.4 mini (xhigh) Intelligence Index24.6
Artificial AnalysisGPT-5.4 mini (xhigh) Coding Index56.1
Artificial AnalysisGPT-5.4 mini (xhigh) Agentic Index19.7
Artificial AnalysisGPT-5.4 mini (xhigh) GPQA Diamond87.5%
Artificial AnalysisGPT-5.4 mini (xhigh) HLE28.1%
Artificial AnalysisGPT-5.4 mini (xhigh) IFBench73.3%
Artificial AnalysisGPT-5.4 mini (xhigh) τ²-Bench Telecom83.3%
Artificial AnalysisGPT-5.4 mini (xhigh) AA-LCR77.0%
Artificial AnalysisGPT-5.4 mini (xhigh) GDPval-AA29.7%
Artificial AnalysisGPT-5.4 mini (xhigh) CritPt10.0%
Artificial AnalysisGPT-5.4 mini (xhigh) SciCode52.1%
Artificial AnalysisGPT-5.4 mini (xhigh) Terminal-Bench Hard52.3%
Artificial AnalysisGPT-5.4 mini (xhigh) AA-Omniscience Accuracy37.5%
Artificial AnalysisGPT-5.4 mini (xhigh) AA-Omniscience Non-Hallucination Rate9.8%
Artificial AnalysisGPT-5.4 mini (Non-Reasoning) GPQA Diamond60.6%
Artificial AnalysisGPT-5.4 mini (Non-Reasoning) HLE5.9%
Artificial AnalysisGPT-5.4 mini (Non-Reasoning) IFBench38.8%
Artificial AnalysisGPT-5.4 mini (Non-Reasoning) τ²-Bench Telecom23.4%
Artificial AnalysisGPT-5.4 mini (Non-Reasoning) AA-LCR37.0%
Artificial AnalysisGPT-5.4 mini (Non-Reasoning) GDPval-AA11.8%
Artificial AnalysisGPT-5.4 mini (Non-Reasoning) CritPt0.0%
Artificial AnalysisGPT-5.4 mini (Non-Reasoning) Terminal-Bench Hard18.2%
Artificial AnalysisGPT-5.4 mini (Non-Reasoning) AA-Omniscience Accuracy25.7%
Artificial AnalysisGPT-5.4 mini (Non-Reasoning) AA-Omniscience Non-Hallucination Rate4.4%
Artificial AnalysisGPT-5.4 mini (medium) GPQA Diamond82.3%
Artificial AnalysisGPT-5.4 mini (medium) HLE18.6%
Artificial AnalysisGPT-5.4 mini (medium) IFBench64.8%
Artificial AnalysisGPT-5.4 mini (medium) τ²-Bench Telecom36.5%
Artificial AnalysisGPT-5.4 mini (medium) AA-LCR67.0%
Artificial AnalysisGPT-5.4 mini (medium) CritPt2.9%
Artificial AnalysisGPT-5.4 mini (medium) Terminal-Bench Hard34.1%
Artificial AnalysisGPT-5.4 mini (medium) AA-Omniscience Accuracy36.5%
Artificial AnalysisGPT-5.4 mini (medium) AA-Omniscience Non-Hallucination Rate10.2%

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-5.4 mini brings the core capabilities of GPT-5.4 to a faster, more efficient model optimized for high-throughput workloads. It supports text and image inputs with strong performance across reasoning, coding, and tool use, while reducing latency and cost for large-scale deployments.

GPT-5.4 Mini (batch) costs $0.375/M input tokens and $2.25/M output tokens, with separate rates for Cache Read at $0.0375/M tokens and Web Search at $10.00/1K calls.

GPT-5.4 Mini (batch) has a 400,000 token context window. It supports up to 128,000 completion tokens.

Yes. GPT-5.4 Mini (batch) accepts tools and tool_choice for function calling. It also supports structured outputs via a JSON schema in response_format.

GPT-5.4 Mini (batch) accepts files such as PDFs, images, and text 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-5.4 Mini (batch) was released on March 17, 2026. Its knowledge cutoff is August 31, 2025.

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