Ranked by effective cost per token across 67 models and 10 providers. Prices in USD per 1 million tokens. See the most expensive →
Models are ranked by blended cost using a 1:3 input-to-output ratio (typical for chat/assistant workloads). A model costing $0.10/M input + $0.30/M output scores at $1.00/M blended. Context window and provider are noted but don't affect ranking. All prices sourced directly from provider pricing pages.
Price trends: ↓ Dropped = price decreased recently · → Stable = no change in past 30 days · ↑ Increased = price went up. Trends reflect changes since May 2026.
Meta's efficient 8B-parameter model. Great for high-volume tasks, classification, and extraction.
Google's ultra-lightweight model. 1M token context window at the lowest price in the industry.
DeepSeek's speed-optimized model. 1M context at extremely competitive pricing.
OpenAI's open-source 20B model. Surprisingly cheap for an OpenAI offering.
DeepSeek's general-purpose model. Excellent quality-to-price ratio.
OpenAI's nano-tier model. 1M context at budget pricing — ideal for bulk processing.
Google's Flash-Lite line. 1M context, same price tier as GPT-4.1 nano.
Google's workhorse model. Same price as Flash-Lite with stronger general capabilities.
AI21's hybrid model. 256K context with competitive pricing.
OpenAI's larger open-source model. More capable than the 20B at still-reasonable pricing.
Use our free calculator to compare all 67 models and find the cheapest option for your specific usage pattern.