Which capabilities matter most for agent models?
Tool calling, structured JSON, enough context for the task, and instructions that stick. Everything else is secondary.
Senarai pendek model
Best agent model APIs for tool-calling workflows
Compare model APIs for agents that need tools, JSON mode, long context, and a budget you can live with.
Untuk apa senarai pendek ini?: Agent models
Agent runs spit out a lot of tokens and burn money when tool loops go wrong. Before you wire one up, check tool calling, JSON reliability, context length, latency, and output price. Then set a budget so a bad loop cannot empty the account overnight.
Asas sumber: NextModel capability mapping and supported-parameter metadata when available. · Dikemas kini 2026-07-01
Fit score
Calon disyorkan agent models
Mulakan dengan senarai pendek, kemudian uji prompt sebenar dan bandingkan kos bulanan sebelum routing produksi.
Jadual perbandingan
Bandingkan senarai pendek mengikut harga, penyedia, konteks, keupayaan dan sumber.
Gunakan paparan ini untuk mengecilkan senarai produksi, membina dasar fallback atau membandingkan ekonomi model.
| Model | Provider | Input | Output | Context | Capabilities | Best for | Latency | Status | Source |
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FAQ
Agent models FAQ
Why do agent workflows get expensive so fast?
They generate long traces: planning text, tool results stuffed back into context, and retries. Cap steps and log token use per run.
Should agents always use the strongest model?
No. Route planning or simple tool picks to cheaper models when quality allows, and reserve stronger models for hard steps.
Ranking