2026 LLM API Cost Comparison: Self-Hosting vs. Cloud Providers

Detailed Cost Breakdown for 1M Tokens/Day

A user on r/LocalLLaMA compiled pricing data from February 2026 for a standard chat completion task using 1M tokens per day (input + output). The comparison includes monthly costs for 30M tokens and key provider details.

Provider Pricing Comparison

• OpenAI GPT-4o: $5.00 per 1M input tokens / $15.00 per 1M output tokens (~$300 monthly). Data privacy: US-based, can train on data. No self-host option.
• OpenAI GPT-4o-mini: $0.15/$0.60 per 1M tokens (~$12 monthly). Same privacy terms as GPT-4o.
• Anthropic Claude Sonnet: $3.00/$15.00 per 1M tokens (~$270 monthly). US-based, doesn't train on data. No self-host.
• Google Gemini 1.5 Pro: $3.50/$10.50 per 1M tokens (~$210 monthly). US-based with human review. No self-host.
• Together AI Llama-3.1-70B: $0.88/$0.88 per 1M tokens (~$26 monthly). Hosted on their servers.
• Together AI Mistral-7B: $0.20/$0.20 per 1M tokens (~$6 monthly). Hosted on their servers.
• Fireworks Llama-3.1-70B: $0.90/$0.90 per 1M tokens (~$27 monthly). Hosted on their servers.
• PremAI fine-tuned SLM: ~$0.40/$0.40 per 1M tokens (~$12 monthly). Swiss-based with zero data retention and VPC deployment. Yes to self-host.
• Replicate Llama-3.1-70B: ~$0.65/$2.75 per 1M tokens (~$51 monthly). Hosted on their servers.
• AWS Bedrock Claude Sonnet: $3.00/$15.00 per 1M tokens (~$270 monthly). Data stays in your AWS account. "Sort of" self-host option.
• Self-hosted (vLLM) Mistral-7B: ~$0.05 per 1M tokens (GPU cost only) (~$1.50 monthly + GPU rental). Complete data control. Yes to self-host.

Key Findings from the Analysis

The spreadsheet reveals several practical insights:

• OpenAI's GPT-4o-mini and Together's open-source models have surprisingly close costs. If you're paying for GPT-4o-mini, you could run Mistral-7B on Together for half the price.
• The self-hosted option is approximately 200x cheaper than GPT-4o. If you have GPU resources and operational capacity, self-hosting wins on pure cost.
• PremAI offers a unique combination: low cost, VPC deployment, and fine-tuning in one platform. Their Swiss-based privacy claims with encryption appear legitimate based on architecture documentation.
• Anthropic and OpenAI's premium models are roughly 10x more expensive than open-source alternatives via Together/Fireworks. Unless you genuinely need frontier model quality, you might be overpaying.
• Pricing complexity remains an issue: different input/output token rates, minimum commitments, and separate fine-tuning charges make comparisons difficult. The analysis took a full day to compile.

All prices are approximate and checked in February 2026. Some providers offer volume discounts not reflected in this comparison.