Full disclosure up front**: I run an AI API gateway called Barq. This article exists because I got tired of seeing developers overpay for the same models and decided to do the math. Everything below is just the data — no tricks, no "enterprise pricing," no "contact sales."
I spent a week pulling real per-token pricing from every major AI API provider. The differences are staggering — some platforms charge 2–3x what others charge for the exact same model output.
Here's what I found.
The Price Table (per 1M input tokens, USD)
| Model | OpenAI Direct | Azure OpenAI | Anthropic Direct | OpenRouter | Aggregator (Barq) |
|---|---|---|---|---|---|
| GPT-4o | $5.00 🔴 | $5.00 | — | $5.00 | $2.50 🟢 |
| GPT-4 Turbo | $10.00 🔴 | $10.00 | — | $10.00 | $5.00 🟢 |
| GPT-4o-mini | $0.15 🔴 | $0.15 | — | $0.15 | $0.07 🟢 |
| Claude 3.5 Sonnet | — | — | $3.00 🔴 | $3.00 | $1.50 🟢 |
| Claude 3 Opus | — | — | $15.00 🔴 | $15.00 | $7.50 🟢 |
| Claude 3 Haiku | — | — | $0.25 🔴 | $0.25 | $0.12 🟢 |
| Gemini 2.0 Flash | — | — | — | $0.10 🔴 | $0.05 🟢 |
| DeepSeek V3 | — | — | — | $0.27 🔴 | $0.14 🟢 |
| DeepSeek V4 Pro | — | — | — | — | $0.55 |
| MiMo V2.5 Pro | — | — | — | — | $0.50 |
| Grok 3 | — | — | — | $5.00 🔴 | $2.50 🟢 |
| Qwen-Max | — | — | — | $1.65 🔴 | $0.80 🟢 |
| Llama 3.1 405B | — | — | — | $2.50 🔴 | $1.25 🟢 |
🔴 = most expensive. 🟢 = cheapest. All prices verified June 2026 from official provider pages.
What The Data Tells Us
1. Direct-to-provider is almost never the cheapest
Buying directly from OpenAI or Anthropic is convenient — but you're paying extra for that convenience. Aggregators negotiate volume discounts that individual developers can't access, and pass most of the savings on.
2. OpenRouter gives you variety, not savings
OpenRouter is great for model variety (400+ models), but their pricing on flagship models (GPT-4o, Claude 3.5 Sonnet) is identical to direct pricing. You're buying access, not efficiency.
3. Eastern models are the price-performance sweet spot
DeepSeek V3 at $0.14/M tokens and MiMo V2.5 Pro at $0.50/M tokens match or beat GPT-4o on coding benchmarks — at 10–97% lower cost. If you're not benchmarking these, you're leaving money on the table.
4. The hidden engineering cost nobody talks about
Managing keys, billing, rate limits, and error handling across 3+ providers is real work. Some platforms charge extra for multi-model routing. Others (like OpenRouter and Barq) bundle it for free. Worth factoring in when comparing "per token" prices.
What Switching Actually Looks Like
If you use the OpenAI SDK:
python
# Before
from openai import OpenAI
client = OpenAI(api_key="sk-...")
# After — change base_url, everything else stays the same
from openai import OpenAI
client = OpenAI(
base_url="https://api.barqapi.com/v1",
api_key="***"
)
