- Input /1M
- $0.02
- Output /1M
- $0.06
- Reference cost
- $0.04
- Context
- 262K
- AA Intelligence
- —
AI model capabilities
AI models that support reasoning
Compare models with listed reasoning controls, token prices and published intelligence scores. Compare 228 supporting models by input price, output price, context window and published intelligence. Find the cheapest option for a reference text workload, then check the serving API before you build.
Lowest reference cost
Ling 3.0 Flash$0.04
1M input + 250K output tokens. Tool fees and discounts excluded.
Highest published intelligence
Claude Opus 5.557.6 AA Intelligence Index
Among supporting models with a published score; not a capability-specific benchmark.
Cheapest AI models with reasoning
Ranked by the cost of 1 million input and 250,000 output tokens at standard rates. A different token mix can change the cheapest model. Support requires an explicitly listed catalog feature, not an inference from a model family.
- Input /1M
- $0.03
- Output /1M
- $0.10
- Reference cost
- $0.05
- Context
- 262K
- AA Intelligence
- —
- Input /1M
- $0.03
- Output /1M
- $0.08
- Reference cost
- $0.05
- Context
- 1M
- AA Intelligence
- 41.8
- Input /1M
- $0.03
- Output /1M
- $0.13
- Reference cost
- $0.06
- Context
- 131K
- AA Intelligence
- 9
- Input /1M
- $0.03
- Output /1M
- $0.13
- Reference cost
- $0.06
- Context
- 1M
- AA Intelligence
- —
- Input /1M
- $0.04
- Output /1M
- $0.12
- Reference cost
- $0.07
- Context
- 262K
- AA Intelligence
- —
- Input /1M
- $0.04
- Output /1M
- $0.12
- Reference cost
- $0.07
- Context
- 262K
- AA Intelligence
- —
- Input /1M
- $0.04
- Output /1M
- $0.15
- Reference cost
- $0.08
- Context
- 260K
- AA Intelligence
- —
- Input /1M
- $0.04
- Output /1M
- $0.14
- Reference cost
- $0.08
- Context
- 1M
- AA Intelligence
- —
- Input /1M
- $0.0065
- Output /1M
- $0.30
- Reference cost
- $0.08
- Context
- 1M
- AA Intelligence
- —
- Input /1M
- $0.06
- Output /1M
- $0.12
- Reference cost
- $0.09
- Context
- 262K
- AA Intelligence
- —
- Input /1M
- $0.05
- Output /1M
- $0.20
- Reference cost
- $0.10
- Context
- 524K
- AA Intelligence
- —
- Input /1M
- $0.06
- Output /1M
- $0.18
- Reference cost
- $0.10
- Context
- 131K
- AA Intelligence
- —
- Input /1M
- $0.06
- Output /1M
- $0.24
- Reference cost
- $0.12
- Context
- 262K
- AA Intelligence
- —
- Input /1M
- $0.07
- Output /1M
- $0.20
- Reference cost
- $0.12
- Context
- 262K
- AA Intelligence
- 12.9
Showing 15 of 228
228 matching models · Missing intelligence scores are shown as —.
What is reasoning?
Reasoning-capable APIs may provide controls for additional model computation on complex tasks. A listed reasoning parameter does not establish accuracy, reveal private internal reasoning or guarantee that a model is better for every task. Compare published intelligence scores alongside evaluations of your own work.
Before choosing a model
- Check reasoning-effort controls and their availability on your API.
- Verify whether reasoning tokens are billable output tokens.
- Compare task accuracy, latency and total cost, not just token rates.
Estimate your actual workload
Use your request volume and prompt and response sizes to compare monthly text-token costs. Add any search, external tool or provider-specific charges separately. Standard token prices do not assume cache hits or batch discounts.
