How to Pick the Right Budget Model
Not every cheap model fits every task. Here's a quick guide:
- Simple tasks (classification, extraction, formatting): Any model in the top 8 works. Pick the cheapest.
- Code generation: DeepSeek V4 Pro (#10) or Mistral Small 4 (#8) — both under $0.66/1K requests.
- Long documents: Gemini Flash (#4) or Llama 4 Scout (#5) — both have 1M+ context windows at budget prices.
- High-volume production: Llama 3.1 8B (#3) at $0.10/1K requests — the lowest absolute cost.
- Quality-sensitive output: DeepSeek V4 Pro (#10) — near-premium quality at 90% less cost.
The Massive Cost Gap: Budget vs Premium
To put these prices in perspective: the cheapest model (Gemini Flash Lite at $0.075/$0.30) is 400x cheaper on input and 600x cheaper on output than the most expensive model (GPT-5.5 Pro at $30/$180). Even the #10 cheapest model (DeepSeek V4 Pro at $0.44/$0.87) is 68x cheaper than premium tier.
For most startups and side projects, a top-10 budget model will handle 90%+ of your AI workloads. Reserve premium models for the 10% of tasks that truly need them.
Embed All 10 Badges at Once
Want to show all 10 prices in your project docs? Use our badges gallery to grab embed code for each model, or use the API directly:
## AI API Pricing
[](https://getapipulse.com)
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# Full list of 39 badges: https://getapipulse.com/badges.html
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Key Takeaways
- GPT-oss 20B is the cheapest at $0.08/$0.35 per 1M tokens
- Llama 3.1 8B has the lowest cost per 1K requests at $0.10
- DeepSeek V4 Pro is the best value for quality-sensitive tasks
- Budget models are 400x+ cheaper than premium models
- Embed live pricing badges in your README — they auto-update when prices change
Methodology
All prices sourced directly from provider pricing pages, verified June 1, 2026. Prices are per 1M tokens. Cost per 1K requests assumes 500-token input + 500-token output per request. We track 67 models across 10 providers. Data is updated monthly. See pricing changelog →
Embed live pricing badges: APIpulse Pricing Badges Gallery — 67 models, copy-paste Markdown/HTML, auto-updating.
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