OpenAI: GPT-4.1 MiniActive

openai/gpt-4.1-mini

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.

By:OpenAIInput Type:Output Type:Publish time:2025-04-14

Providers

Route requests across multiple providers. Copy a provider slug to set your preference.

ProviderCache Hit RateContext

OpenAI

openai

-$0.4/ M tokens$1.6/ M tokensRead:0.1/ M tokensWrite:-/ M tokens1.05M--

Azure

azure

25.4%$0.4/ M tokens$1.6/ M tokensRead:0.1/ M tokensWrite:-/ M tokens1.05M1.13s80.7tps

Uptime

24hours

Direct request success rate on AI Gateway and per-provider.

Oct 26, 20:14

Azure100.00%

Throughput

24hours

P50 throughput on live AI Gateway traffic, in tokens per second (TPS).

Oct 26, 18:00

Azure80.7 tps

Latency

24hours

P50 time to first token (TTFT) on live AI Gateway traffic, in milliseconds.

Oct 26, 18:00

Azure1.13s

Activity

Token volume and request traffic to this model over time.

Token Consumption

Oct 25

OpenAI-

Azure2.0M

Token volume broken down by the provider that served each request. Larger segments indicate providers handling more of this model's traffic.

Benchmarks

Scores on standardized evaluations. Higher percentages are better — and rank percentile shows

Metrics sourced fromArtificial Analysis

Intelligence Index10.2

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. View All

Token Ranking

DifyDify is an open-source LLM application development platform created by LangGenius that combines a visual workflow canvas, RAG pipelines, agent capabilities, model management and observability in one interface. It lets developers and non-technical teams build, test and deploy AI chatbots, agents and workflows, publishing them as hosted apps, embeds or API endpoints, and can be used via Dify Cloud or self-hosted with Docker.

94.1K60.65%

KelivoKelivo is an open-source, cross-platform LLM chat client built with Flutter by developer Chevey339, released under AGPL-3.0. It runs on Android, iOS, HarmonyOS, Windows, macOS and Linux, and lets users chat with models from providers such as OpenAI, Google Gemini and Anthropic. Features include custom assistants, multimodal input (images, PDF, Word), Markdown/LaTeX rendering, TTS, MCP tool integration, web search and local data backup.

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