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Model details

OpenAI GPT-4o-mini

GPT-4o mini was designed as OpenAI's most capable small model, positioned to deliver frontier-level intelligence at a fraction of the cost. It combines text and image understanding in a single model, producing text outputs while keeping operational expenses low enough for high-volume applications. The architecture targets developers and businesses that need reliable, cost-effective AI without sacrificing quality on everyday tasks.

Fine-tuning support became available for GPT-4o mini shortly after launch, enabling teams to adapt the model to specific domains and use cases. The model achieves an 82% score on MMLU and consistently ranks higher than GPT-4 on chat preference benchmarks in the LMSYS arena, demonstrating strong instruction-following and conversational abilities. Extended deployment and inference support through providers like Microsoft Azure further signals its viability for long-term enterprise applications.

Heliconegpt-4o-minigpt-mini

Quick Info

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Provider
Helicone
Model key
gpt-4o-mini
Release date
Jul 18, 2024
Last updated
Jul 18, 2024
Knowledge cutoff
2024-07
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$0.15
Output token cost
$0.60

Limits

Output tokens
16,384 tokens
Context window
128,000 tokens

Transparent token rates

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Rates are shown per one million tokens. Combined means one million input plus one million output tokens.

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Official sourceComparison

Compare openai's gpt 4o mini and openai's gpt-4-turbo-0125-preview. Detailed analysis of performance metrics, costs, capabilities, and real-world usage patterns. Make data-driven decisions about which AI model best fits your needs.

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CoverageBenchmark

GPT 4o mini pricing: $0.15/M input, $0.60/M output. Compare with 10 similar models, see benchmarks, and find the cheapest provider.

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