Simulate multi-model agentic workloads (e.g. Astra 10 %, Sol 20 %, Luna 70 %), prompt cache discounts, and token economics across OpenAI, Anthropic, Google, and xAI subscriptions using live models.dev pricing.
Simulation Parameters
1. Provider & Subscription Tier
$500 / mo
2. Agentic Workload Scale (The Agentic Way)
120 tasks / mo
15 turns
45 k tokens
10 k tokens
800 tokens
% cached
⚡ Monthly Workload:43.2 M tokens
3. Agent Swarm Model Mix (% of Workload)
Economic & Latency Verdict
Monthly Volume
43.2 M
Equivalent API Bill
$36
Net Monthly Savings
-$464
Break-Even Workload
Task 820
Weekly Subscription Quota & Lockout Burn Rate
Plan Quota Cap
0 M / 0 M effective tokens / wk0 % of weekly cap
Turn-by-Turn Cost & Quota Anatomy
26.0x Cost Surge
Single-turn comparison: Prompt Cache Hit (reusing pre-evaluated codebase KV cache) vs Cache Miss (re-evaluating full repository context from scratch).
✓ Cache Hit Turn$0.39 / turn
Cached Base (1.0 M @ $0.25/M):$0.25
New Turn Delta (10 k @ $10.00/M):$0.10
Output (800 @ $50.00/M):$0.04
✗ Cache Miss Turn$10.14 / turn
Raw Uncached Input (1.010 M @ $10.00/M):$10.10
Output (800 @ $50.00/M):$0.04
Cost Penalty per Turn:+$9.75 / turn
Delivered Token Value vs. Subscription Cost
Prompt Cache Economics & Quota Multiplier
98.45 % Cache Hit Rate
Gross Uncached API Cost:$0 / mo
Net Metered API Bill:$0 / mo
Prompt Cache Savings:$0 / mo (0 %)
Effective Swarm Unit Cost:$0.00000 / MTok
Quota Multiplier Nuance: Stated ceilings (such as 12 B or 39 B tokens / month) represent uncached baseline throughput. Because cached prompts consume up to 90 % to 97.5 % less internal quota and cost, high cache hit rates (95.00 % to 98.45 %) effectively expand delivered context throughput by 10x to 40x without exhausting rate limit pools.
Model Swarm Cost & Token Breakdown
Average Task Execution Turnaround
Total generation across 15 turns (45,000 output tokens)
Cerebras CS-3 Wafer-Scale
25.0 s
1,800 tok / s (Unbroken flow state)
NVIDIA H100 GPU Cluster
11.5 min
65 tok / s (Context-switching penalty)
Data Grounding & Pricing Source: Model specifications, input / output pricing, and cache read rates are directly synchronized with models.dev and empirical token benchmarks by FeiZ. Read our comprehensive analysis on ChatGPT Pro Max: $500/mo, Cerebras Speed, and Quota Traps.