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AI API Pricing Compared: OpenAI vs Claude vs Gemini (2026)

A detailed comparison of AI API pricing across major providers. Learn how to optimize costs with multi-provider routing and unified billing.

SoxAI Team·

AI API Pricing Compared: OpenAI vs Claude vs Gemini (2026)

Choosing the right AI model isn't just about quality — it's about cost. At scale, the price difference between providers can mean thousands of dollars per month. Here's a clear breakdown of what each major provider charges, and how to optimize your spend.

Price Comparison Table

ModelProviderInput (per 1M tokens)Output (per 1M tokens)Context Window
GPT-4oOpenAI$2.50$10.00128K
GPT-4o MiniOpenAI$0.15$0.60128K
GPT-4.1OpenAI$2.00$8.001M
GPT-4.1 MiniOpenAI$0.40$1.601M
Claude Sonnet 4Anthropic$3.00$15.00200K
Claude Haiku 4.5Anthropic$0.80$4.00200K
Claude Opus 4Anthropic$15.00$75.00200K
Gemini 2.5 ProGoogle$1.25$10.001M
Gemini 2.5 FlashGoogle$0.15$0.601M
DeepSeek V3DeepSeek$0.27$1.10128K
DeepSeek R1DeepSeek$0.55$2.19128K

Prices as of April 2026. Check provider websites for the latest.

Key Takeaways

For cost-sensitive workloads

GPT-4o Mini and Gemini 2.5 Flash are the cheapest options at $0.15/1M input tokens. DeepSeek V3 is close behind at $0.27/1M and often matches quality for general tasks.

For highest quality

Claude Opus 4 leads in benchmarks but at $15/$75 per 1M tokens, it's 100x more expensive than budget options. Use it selectively for complex reasoning tasks.

For long context

GPT-4.1 and Gemini 2.5 Pro both support 1M token context windows. If you're processing large documents, these are your options.

The Hidden Cost: Rate Limits

Price per token isn't the whole story. Each provider has rate limits:

  • OpenAI: Tier-based, starts at 500 RPM for new accounts
  • Anthropic: 1,000 RPM for Claude Sonnet on paid tier
  • Google: 1,000 RPM for Gemini Pro

When you hit a rate limit, your requests fail. Your options are: wait, or route to another provider.

How to Optimize: Multi-Provider Routing

The cheapest strategy isn't picking one provider — it's using multiple:

  1. Route simple queries to cheap models (GPT-4o Mini, Gemini Flash)
  2. Route complex queries to capable models (Claude Sonnet, GPT-4o)
  3. Failover across providers to avoid rate limits and downtime

With SoxAI, you configure this once:

from openai import OpenAI

# One API key, one endpoint — SoxAI handles routing
client = OpenAI(
    api_key="your-soxai-key",
    base_url="https://api.soxai.io/v1",
)

# Use any model from any provider
cheap = client.chat.completions.create(model="gpt-4o-mini", messages=[...])
smart = client.chat.completions.create(model="claude-sonnet-4-20250514", messages=[...])

No need for separate API keys, SDKs, or billing accounts per provider. SoxAI gives you a unified bill and per-team usage tracking.

Cost Calculator

A typical SaaS application making 100,000 API calls per day:

ModelDaily CostMonthly Cost
GPT-4o (avg 500 tokens/req)~$62.50~$1,875
GPT-4o Mini (same)~$3.75~$112
Claude Sonnet 4 (same)~$90.00~$2,700
DeepSeek V3 (same)~$6.85~$205

Smart routing strategy: Use GPT-4o Mini for 80% of requests, Claude Sonnet for 20% complex ones:

  • Monthly cost: $630 (vs $1,875 with GPT-4o only — 66% savings)

Get Started

Try SoxAI free with $5 credit. Access all these models through one API, with built-in cost tracking to see exactly what each model costs you.