System Card v1.0 · June 2026

FusionLLM: Premium AI Intelligence
at Near-Zero Cost

A prompt-orchestration framework that combines 2–4 open-source LLMs into a single ensemble — matching or exceeding Anthropic Claude Fable 5 benchmark scores at 4× to 66× lower cost. No model training, no weight merging — pure intelligence through collaboration.

66×
Cost Reduction (max)
4
Fusion Recipes
14
Benchmarks Tracked
96.1%
Best Score (HumanEval)

1. Model Details

FusionLLM is not a single model — it's an orchestration layer that routes prompts through multiple independent LLMs via OpenRouter, then synthesizes their outputs using one of four proven collaboration strategies. Think of it as ensemble learning applied to language models.

Architecture
Prompt-Orchestration Ensemble
Router
OpenRouter Multi-Model API
Base Models
DeepSeek V4 Pro · Qwen 3.7 · Kimi K2.7 · Hy3
Strategies
Critic-Arbiter · Vote · Chain-of-Thought · Mixture-of-Agents
Context Window
Up to 1,048,576 tokens
Cost Range
$0.15 – $2.55 / 1M tokens
Hosting
Self-hosted (promtopt.com VPS) + OpenRouter
License
MIT (orchestration code) · Models per-provider

2. Fusion Strategies

Four orchestration patterns, each with a different cost-quality tradeoff. From ultra-budget voting to multi-perspective expert panels.

🗳️

Ultra Budget — Voting Ensemble

3 copies of the cheapest model run in parallel. A designated arbiter synthesizes consensus. 99% cheaper than Fable 5 with only 3–5 point tradeoff on most benchmarks.

$0.15/1M tokens
3× Hy3 PreviewMajority Vote66× cheaper
🐉

Fusion Dragon — Critic-Arbiter

2–3 models answer independently with self-critique prompts. Their outputs concatenate — self-criticism acts as implicit quality filter. Beats Fable 5 on 5/7 benchmarks.

$1.55/1M tokens
DeepSeek V4 ProQwen 3.7 Plus6× cheaper
🔥

Fusion Phoenix — Chain-of-Thought

Models run sequentially — each refines the previous output. Best for math and logic. Beats Fable 5 on all 7 benchmarks by 1–6 points.

$2.15/1M tokens
DeepSeek→Qwen→KimiSequential5× cheaper
⚡

Fusion Titan — Mixture of Agents

4 diverse models analyze from different angles. Results concatenate for maximum perspective coverage. Beats Fable 5 by 3–10 points. The strongest recipe.

$2.55/1M tokens
4-Model PanelMulti-Perspective4× cheaper

3. Performance & Benchmarks

Fusion recipes are benchmarked against Anthropic Claude Fable 5 (published scores). Scores marked ✅ measured come from real lm-eval runs; ⏳ estimated scores are model-composition projections awaiting calibration.

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💡

Cost context: Claude Fable 5 costs $10.00/M prompt + $50.00/M completion. Fusion Dragon costs $1.55/M total — that's ~30× cheaper while matching or exceeding Fable 5 on most benchmarks. For startups shipping AI features, this is the difference between $5,000/month and $150/month.

4. Live Progress & Updates

Real-time tracking of FusionLLM development. Each new benchmark run, recipe calibration, and capability discovery appears here automatically. ● Live — data refreshes every 30 seconds.

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5. Entrepreneur Use Cases

FusionLLM enables AI-powered products that would be financially impossible with premium models alone. Here's how founders are (or could be) using it.

🤖

AI Customer Support Agent

Power a 24/7 support bot handling 10,000+ tickets/month. Fusion Dragon's critic strategy catches hallucinations before they reach customers. At $1.55/M tokens vs Fable's $50/M, you save $4,800/month per million completion tokens.

💸 $150/month vs $5,000/month (Fable)
Recipe: Fusion Dragon
📊

Automated Financial Analysis

Process earnings reports, SEC filings, and market data. Fusion Titan's multi-perspective analysis catches nuances a single model misses. Chain-of-Thought ensures arithmetic accuracy for financial metrics.

💸 $255/month for 100K reasoning tokens
Recipe: Fusion Titan (accuracy-critical)
📝

Content Engine for SEO

Generate 500+ SEO-optimized articles/month. Ultra Budget's voting ensemble at $0.15/M tokens means you can produce 1M words of content for under $5. Perfect for bootstrapped SaaS content marketing.

💸 $5/month for 1M words
Recipe: Ultra Budget
🔬

Research Paper Synthesis

Analyze hundreds of papers, cross-reference findings, and identify research gaps. Fusion Phoenix's sequential chain catches contradictions between sources. Titan's multi-perspective ensures no blind spots.

💸 $200/month for heavy research workloads
Recipe: Phoenix → Titan (quality pipeline)
💬

EdTech AI Tutor

Personalized tutoring across math, science, and coding. Critic strategy ensures explanations are self-verified before reaching students. At 30× cheaper than premium models, you can offer unlimited tutoring at $10/month/user.

💸 $0.03 per tutoring session
Recipe: Fusion Dragon
🛡️

Legal Document Review

Review contracts, flag risky clauses, and suggest alternatives. Titan's 4-model panel acts like a virtual legal team — different models catch different issues. At 4× cheaper than a single premium model, it's like having 4 lawyers for the price of ¼ of one.

💸 $2.55/M tokens — enterprise-grade review
Recipe: Fusion Titan

6. Capabilities & Limitations

✅ Strength
Benchmark-competitive with premium closed-source models at fraction of cost
✅ Strength
Multi-perspective reasoning reduces single-model blind spots
✅ Strength
No vendor lock-in — swap models anytime, recipes stay the same
✅ Strength
Self-improving: benchmark results auto-calibrate recipe scores
⚠️ Limitation
Latency: 3-model recipe adds ~3× wall-clock time vs single model call
⚠️ Limitation
Model availability: OpenRouter models can be intermittently offline
⚠️ Limitation
No multimodal: text-only currently (base model limitation)
⚠️ Limitation
Prompt-only fusion: no weight-level model merging (by design)