Compare AI models by price-to-capability ratio. Three tiers, clear tradeoffs, no marketing fluff.


Model Tiers

Budget Tier: Under $1/1M Tokens

Price: $0.25–$1.00 per million input tokens
Best for: Prototyping, preprocessing, hobby projects, high-volume workflows

Models:

Bottom line: 75-80% of frontier performance at 5-20% of the cost.


Mid-Range Tier: $1–$3/1M Tokens

Price: $1.00–$3.00 per million input tokens
Best for: Production apps, daily coding, reliable reasoning

Models:

Bottom line: 90-95% of frontier capability at 20-35% of premium cost. The production sweet spot.


Premium Tier: $5+/1M Tokens

Price: $5.00–$21.00+ per million input tokens
Best for: Complex research, enterprise workloads, maximum accuracy

Models:

Bottom line: When errors are expensive, the premium pays for itself.


Quick Selection Guide

Your ConstraintRecommended TierWhy
Cost is everythingBudgetProcess millions of tokens for dollars
Production reliabilityMid-rangeBest balance of capability and cost
Maximum reasoningPremiumThat final 5% of accuracy matters

Methodology

Pricing: List prices from official sources, verified monthly
Benchmarks: SWE-bench Verified where available
Use cases: Based on hands-on testing, not spec sheets

See /verify/methodology/ for full verification standards.



Last updated: February 16, 2026. Pricing subject to change—always verify current rates.