LLM Provider Comparison

Performance Analysis by Paradigm and Use Case

Document ID: F4-LLM-COMPARISON
Version: 1.0
Category: Technical Reference

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Provider Overview (January 2025)

Provider	Model	Context	Input $/1M	Output $/1M	Strengths
Anthropic	Claude Opus 4	200K	$15.00	$75.00	Complex reasoning, safety
Anthropic	Claude Sonnet 4	200K	$3.00	$15.00	Best balance quality/cost
Anthropic	Claude Haiku 4	200K	$0.25	$1.25	Speed, efficiency
OpenAI	GPT-4o	128K	$2.50	$10.00	Multimodal, tool use
OpenAI	GPT-4o-mini	128K	$0.15	$0.60	Cost efficiency
Google	Gemini 1.5 Pro	1M	$1.25	$5.00	Long context
Google	Gemini 1.5 Flash	1M	$0.075	$0.30	Speed, long context
Meta	Llama 3.1 405B	128K	Self-host	Self-host	Privacy, customization

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Paradigm Fit Matrix

LSR (Latent Space Reasoner)

Model	Creative	Reasoning	Consistency	Recommended
Claude Opus 4	★★★★★	★★★★★	★★★★☆	Complex creative
Claude Sonnet 4	★★★★☆	★★★★☆	★★★★☆	General creative
GPT-4o	★★★★☆	★★★★☆	★★★★☆	Multimodal creative
Gemini Pro	★★★★☆	★★★★☆	★★★☆☆	Long-form creative

LSR Recommendation: Claude Sonnet 4 for most use cases; Opus 4 for complex synthesis

GS (Grounded Synthesizer)

Model	Citation	Accuracy	Synthesis	Recommended
Claude Sonnet 4	★★★★★	★★★★★	★★★★★	Research, analysis
Claude Opus 4	★★★★★	★★★★★	★★★★★	Complex research
GPT-4o	★★★★☆	★★★★☆	★★★★☆	General research
Gemini Pro	★★★★☆	★★★★☆	★★★★☆	Long-document analysis

GS Recommendation: Claude Sonnet 4 for citation-heavy work; Gemini for very long documents

EP (Emergent Planner)

Model	Planning	Tool Use	Adaptation	Recommended
Claude Opus 4	★★★★★	★★★★★	★★★★★	Complex planning
Claude Sonnet 4	★★★★☆	★★★★★	★★★★☆	General planning
GPT-4o	★★★★☆	★★★★★	★★★★☆	Tool-heavy tasks
Claude Haiku 4	★★★☆☆	★★★★☆	★★★☆☆	Fast iteration

EP Recommendation: Claude Sonnet 4 or GPT-4o for tool use; consider Haiku for iteration speed

VE (Verifiable Executor)

Model	Instruction Following	Consistency	Audit Quality	Recommended
Claude Sonnet 4	★★★★★	★★★★★	★★★★★	Compliance workflows
Claude Opus 4	★★★★★	★★★★☆	★★★★★	Complex protocols
GPT-4o	★★★★☆	★★★★☆	★★★★☆	General workflows
Claude Haiku 4	★★★★☆	★★★★★	★★★★☆	High-volume processing

VE Recommendation: Claude models for compliance; Haiku for high-volume

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Use Case Recommendations

Content Creation

• Best: Claude Sonnet 4
• Budget: GPT-4o-mini
• Premium: Claude Opus 4

Research & Analysis

• Best: Claude Sonnet 4
• Long documents: Gemini 1.5 Pro
• Budget: GPT-4o-mini + Gemini Flash

Customer Service

• Best: Claude Sonnet 4
• High volume: Claude Haiku 4
• Budget: GPT-4o-mini

Code Generation

• Best: Claude Sonnet 4
• Complex: Claude Opus 4
• Budget: GPT-4o-mini

Compliance/Audit

• Best: Claude Sonnet 4
• High volume: Claude Haiku 4
• Self-hosted: Llama 3.1 405B

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Multi-Model Architecture

Recommended Tiering

┌─────────────────────────────────────────────┐
│              ROUTER/CLASSIFIER               │
│           (Haiku or GPT-4o-mini)            │
└─────────────────────┬───────────────────────┘
                      │
    ┌─────────────────┼─────────────────┐
    ▼                 ▼                 ▼
┌─────────┐     ┌─────────┐     ┌─────────┐
│  FAST   │     │ STANDARD│     │ COMPLEX │
│ Haiku / │     │ Sonnet /│     │ Opus /  │
│ Mini    │     │ GPT-4o  │     │ Opus    │
└─────────┘     └─────────┘     └─────────┘
  Simple          Normal          Complex
  tasks           tasks           tasks

Router Implementation

class ModelRouter:
    def __init__(self):
        self.classifier = ClaudeHaiku()
        self.models = {
            'fast': ClaudeHaiku(),
            'standard': ClaudeSonnet(),
            'complex': ClaudeOpus()
        }
    
    async def route(self, task):
        complexity = await self.classifier.classify(task)
        model = self.models[complexity]
        return await model.execute(task)

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Cost Optimization Strategies

Strategy 1: Tiered Execution

• Route 70% to Haiku/Mini (low cost)
• Route 25% to Sonnet/GPT-4o (medium cost)
• Route 5% to Opus (high cost)

Strategy 2: Prompt Caching

• Claude: Automatic caching for repeated prefixes
• OpenAI: Implement application-level caching

Strategy 3: Batch Processing

• Gemini: Native batch API (50% discount)
• Anthropic: Message batching

Projected Cost Comparison (100K tasks/month)

Strategy	Haiku	Sonnet	GPT-4o	Gemini Flash
All tasks	$375	$4,500	$3,750	$112
Tiered (70/25/5)	-	$2,475	-	-
With caching (50%)	$188	$2,250	$1,875	$56

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Fallback Configuration

class LLMWithFallback:
    def __init__(self):
        self.primary = ClaudeSonnet()
        self.fallbacks = [
            GPT4o(),
            GeminiPro(),
            ClaudeHaiku()  # Last resort - fast but less capable
        ]
    
    async def call(self, prompt, **kwargs):
        for model in [self.primary] + self.fallbacks:
            try:
                return await model.call(prompt, **kwargs)
            except (RateLimitError, ServiceUnavailableError) as e:
                logger.warning(f"{model.name} failed: {e}")
                continue
        raise AllModelsFailedError()

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Selection Quick Reference

If you need...	Use...
Best overall quality	Claude Sonnet 4
Complex reasoning	Claude Opus 4
Lowest cost	Gemini Flash / GPT-4o-mini
Fastest response	Claude Haiku 4
Long context (>200K)	Gemini 1.5 Pro
Multimodal	GPT-4o
Self-hosted/private	Llama 3.1 405B
Best tool use	Claude Sonnet 4 / GPT-4o

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Document maintained by CODITECT Engineering Team. Updated monthly.