Inference Pricing Analysis Shows 4.4x Spread for Same Model Across Providers

Inference Cost Analysis for AI Coding Agents

Analysis of inference pricing across multiple providers reveals significant cost variations for identical model outputs, with spreads reaching 4.4x for standard models and up to 30x for reasoning models.

Key Pricing Data from Source

For Llama 3.1 70B Instruct (same model, same weights):

• DeepInfra: $0.20 / $0.27 per million tokens
• Hyperbolic: $0.40 / $0.40 per million tokens
• Groq: $0.59 / $0.79 per million tokens
• Fireworks: $0.70 / $0.70 per million tokens
• Together: $0.88 / $0.88 per million tokens

This represents a 4.4x difference between the lowest (DeepInfra) and highest (Together) providers for the exact same API call.

Impact on Usage Costs

For a single agent processing approximately 10 million tokens per day:

• DeepInfra: ~$876/year
• Together: ~$3,212/year

Same output, same API call, but a difference of $2,336 annually.

Reasoning Model Price Spread

The analysis extends to reasoning models with even more aggressive pricing differences:

• DeepSeek R1 (Hyperbolic): ~$2 per 1 million output tokens
• OpenAI o1: ~$60 per 1 million output tokens

This represents approximately a 30x spread between providers.

Market Observations

The source notes that pricing moves more than expected week to week across providers, indicating there's no established "market price" yet for inference services. The author is currently tracking pricing for: DeepInfra, Hyperbolic, Groq, Fireworks, Together, OpenAI, Anthropic, and Akash.

Developer Considerations

The analysis raises practical questions for developers using AI coding agents:

• Locking into one provider vs. routing based on price
• Whether to actively track pricing or ignore the variations
• Which additional providers should be included in monitoring