LIVETracking 971 AI models from 268 providers.
Beta
Stack · Autonomous agent

Autonomous agent stack

The complete autonomous agent stack. Model, framework, tools, and cost per 100 runs. Built for long-horizon task execution with tool use.

Tiers3
TypeStack recipe
Updated2026-04
All pricingCompare models
What this page is
Autonomous agents run long loops with tool calls, planning, memory, and retries. Cost scales with loop depth, context accumulation, and retry rate. The model choice dominates quality and cost. The framework drives how the loop is wired. Our estimates assume 100 runs with ~50K tokens each (25K in, 25K out) across 10 to 20 tool calls.

Frontier, mainstream, and budget recipes. Pick the row that matches your workload.

Frontier
Frontier · reliability first
Model
Claude Mythos Preview
in $5/M · out $25/M
Tool · Agent
Claude Code (agent mode)
Extended thinking · reliable tool use
Estimate · 100 runs · 25K in + 25K out
~$75/100 runs
For agents that actually need to finish · the reliability gap over cheaper models shows up at run length 20+. Mythos handles tool schemas without hallucinating. Worth the premium for any run that would break your product on failure.
Mainstream
Mainstream · default
Model
GPT-5 Chat
in $2.50/M · out $10/M
Provider
OpenAI
Tool · Agent
Smolagents + MCP servers
HF framework · 200+ MCP servers
Estimate · 100 runs · 25K in + 25K out
~$31/100 runs
The default production agent stack. GPT-5 is reliable with tool calling, Smolagents is a lean framework that works with any OpenAI-compatible endpoint, MCP servers provide the tool universe (search, files, databases, APIs).
Budget
Budget · experimentation
Model
DeepSeek V3.2
in $0.28/M · out $0.84/M
Provider
DeepInfra
Tool · Agent
CrewAI
Multi-agent orchestration · free
Estimate · 100 runs · 25K in + 25K out
~$3/100 runs
For experimentation and research-grade agents where reliability is negotiable. DeepSeek V3.2 handles tool calling acceptably. CrewAI is a good multi-agent framework. Expect higher retry rates than frontier stacks.

If the defaults do not fit, try these.

Alternative
Claude Sonnet + LangGraph

Strong mid-tier blend. LangGraph is battle-tested for complex DAG agents.

Alternative
Gemini 2.5 Pro + Vertex Agent Builder

If you are on GCP. Tight integration with Vertex workflows and Google Search tools.

Alternative
Open-source all the way · Llama 3.3 + LangGraph on self-hosted

Zero vendor lock-in. Requires more engineering but no per-token cost after GPU.

Loops compound. Every turn re-sends system prompt, tool schema, and accumulated conversation. A 20-turn loop can burn 500K tokens on what started as a single question. Prompt caching is the biggest single lever.