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Pricing comparison

Claude Sonnet vs GPT-4o Cost

Claude Sonnet resolves to exact canonical Anthropic pricing. GPT-4o is absent from current CostRivo pricing data and remains unresolved.

Exact price comparison unavailable

CostRivo does not substitute a newer or merely similar model when an exact canonical participant is missing. Available participant data is still shown below with its official source.

  • GPT-4o: GPT-4o is not present in the current canonical pricing, model metadata, or provider catalog data.

Run one side-by-side usage scenario

Inspect the exact Claude Sonnet data below. No current OpenAI model is presented as a replacement for GPT-4o.

Side-by-side model cost

Side-by-side model comparison

Use one shared request volume and token scenario to compare selected models side by side.

Selected models

The exact available participant is selected. Add another current model explicitly to compare costs.

Shared usage scenario

These numeric assumptions apply to every selected model.

Comparison results

Enter your usage details, then select Calculate estimate to see your projected cost.

Estimated cost = input usage cost + output usage cost + supported optional charges.

Comparison details

The tables below use the same verified provider and model pricing metadata as the calculator. Missing values are shown plainly.

Swipe sideways to see all columns.

Exact canonical model participants and pricing availability
Requested modelAvailable matchInput priceOutput priceCached inputContext windowCapabilitiesVerificationAction

Claude Sonnet

Exact local match

Anthropic

Claude Sonnet 5

$2.00 / 1M tokens$10.00 / 1M tokens$0.20 / 1M tokens1,000,000 tokenstext, vision, reasoning, function calling
AnthropicClaude Sonnet 5Stable
Official source

Verified Aug 10, 2026. Estimates vary by usage and provider pricing conditions.

GPT-4o

Missing from local data

Not availableNot availableNot availableNot availableNot availableNot availableVerification details unavailableNo route

Comparison entities and next steps

Open exact participant pages, the model comparison calculator, or the broader pricing table.

Comparison notes

Use these notes to interpret price differences without treating price as the only decision factor.

How should I compare premium model cost?

Use the same request count, input tokens, and output tokens for both models, then compare cost alongside quality tests.

Do higher input prices always mean higher monthly cost?

Not always. Output length, model routing, retries, and actual usage volume can change the total.

Should premium models handle every request?

Often no. Many teams route simpler work to cheaper models and reserve premium models for harder tasks.