OpenAI vs Claude vs Gemini API Cost Comparison

Q: Does the lowest API price mean the best model?

No. Token price is only one constraint. Model quality, latency, tool support, context limits, rate limits and reliability should be evaluated on your production task.

Compare GPT, Claude and Gemini with the exact same workload. Start with current flagship and high-usage models, then run the calculator across every tracked model without changing your assumptions.

Compare my workload →Cost per 1,000 requests

OpenAI

GPT-6 Astra

Current flagship tracked by TokenCOGS

Claude Sonnet 5

Current Sonnet pricing tracked by TokenCOGS

Gemini 3.8 Flash

Latest Flash pricing tracked by TokenCOGS

Input / 1M$0.75

Output / 1M$3.75

Gemini pricing →

Same workload

Compare monthly API cost apples to apples

The default view compares OpenAI, Anthropic and Google. Change the scope to one provider or all seven providers when you need a broader screen.

Decision method

Use price as a filter, not a verdict

A useful comparison keeps the workload fixed, then checks the pricing rules that can materially change the bill.

Fix the workload

Use the same input tokens, output tokens and request volume so each model is measured against the same product behavior.

Check pricing rules

Cached input, long-context surcharges, batch pricing and tool charges can matter more than the headline token rate.

Validate the task

Only compare cost among models that meet your quality, latency, reliability and operational requirements.

Go deeper

Pricing pages and calculators

OpenAI pricingGPT rates, context rules and model details →Claude pricingAnthropic model rates and caching costs →Gemini pricingFlash and Pro token pricing →Cost / 1,000 requestsTurn token rates into a traffic unit →

How to read the result

The lowest modeled cost is not a quality ranking

TokenCOGS applies the same workload assumptions to each model and sorts the result by estimated API cost. That makes price differences visible without implying that one provider or model is better for your task.

Actual invoices can differ because providers may apply long-context pricing, caching rules, batch rates, tool-call fees, regional processing, negotiated contracts, taxes or future pricing changes. Treat the output as a planning estimate.

Pricing sources

Current model rates are sourced from official provider pricing pages and verified on September 16, 2026. See the methodology for source links and known limitations.

Frequently asked questions

How should I compare OpenAI, Claude and Gemini API pricing?

Use the same input tokens, output tokens and request volume for every model. Then check caching, long-context rules and your own quality and latency evaluations before choosing a production model.

Does the lowest API price mean the best model?

No. Capability, latency, tool support, context, reliability and your own evaluations should be considered alongside API cost.