Solid OpenAI budget option, though Gemini Flash offers better value.
Budget technical workflows and high-volume product integrations
Cheaper than flagship models without becoming toy-grade
Good for edits, summaries, and repetitive operational prompts
Fast enough for embedded product experiences
Weaker on nuanced reasoning than premium models
Gemini 3.1 Flash is now cheaper with a larger context window
See what GPT-5.2 Mini actually costs at your usage level
Based on GPT-5.2 Mini API pricing: $1.2/1M input · $4.8/1M output. Real costs vary by provider discounts and caching. Check the provider for exact current rates.
Price History
→0% since Mar 24
41 data points · tracked daily since Mar 24, 2026
Budget technical workflows and high-volume product integrations. Start free — no card required.
Recommendations are made independently based on real-world use and public benchmarks. See our disclosures for details.
Similar models worth checking before you commit.
OpenAI's most affordable production-grade model — faster and cheaper than GPT-4o with strong enough performance for the majority of everyday tasks.
GPT-5.2 Mini is best for budget technical workflows and high-volume product integrations. It is a strong fit when that workflow matters more than the tradeoffs around balanced pricing and fast speed.
Cost is your primary concern — Gemini 3.1 Flash offers more for less.
Meta: Llama 3.1 8B Instruct is the lower-cost option to compare first when you want a similar workflow fit with less token spend.
GPT-4o Mini is the better pick when response time matters more than maximum depth or premium quality.
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Cost is your primary concern — Gemini 3.1 Flash offers more for less.
GPT-3.5 Turbo is OpenAI's legacy fast and affordable chat model, optimized for dialogue and straightforward text tasks at low cost. It was the backbone of early ChatGPT and remains a go-to for high-volume, cost-sensitive deployments.
An older versioned snapshot of GPT-3.5 Turbo (v0613), OpenAI's once-dominant mid-tier language model optimized for fast chat completions and instruction following. This specific checkpoint is frozen in time, predating later capability improvements introduced in subsequent GPT-3.5 Turbo updates.
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