GPT 5 pricing for code review

Quick start

Call GPT 5 with the OpenAI Python SDK:

from openai import OpenAI

client = OpenAI()
response = client.chat.completions.create(
    model="gpt-5",
    max_tokens=2000,
    messages=[{"role": "user", "content": "Your prompt here"}]
)
# Cost: ~$0.0263 per call at standard rates
# Input:  $1.25/MTok
# Output: $10.00/MTok

How GPT 5 compares on cost

Per-call cost for all models scoring 50+ on code review benchmarks. Hover for details.

Cheapest viable option: Claude Sonnet 5 at $0.0300/call (-14% less, 96/100 quality).

What drives code review cost

Review is input-heavy in a way generation is not: the diff or file goes in whole, and structured feedback comes back short. That flips the usual optimization: input rate and cache discounts matter more than output rate. Reviewing the same repository repeatedly means the surrounding context is identical call over call, which is exactly the shape prompt caching is designed for.

For GPT 5 specifically, that means output tokens cost 8.0x more than input, at $10.00 vs $1.25 per MTok. At this use case’s 5,000/2,000 token split, output accounts for 76% of the $0.0263 per-call cost.

GPT 5 quality benchmarks for code review

Benchmark data for code review is pending for GPT 5. Test against your own evaluation suite before moving to production.

Performance across all task types

GPT 5 scores by task type. Code Review highlighted.

Confidence scores are a third-party benchmark snapshot from week 29 of 2026. This snapshot is 10 weeks old, so treat the scores as directional and validate against your own evals.

About GPT 5

Backfilled on 2026-09-23. Prices confirmed by the provider pricing page and the LiteLLM cross-check. Release date not published in a machine-readable source. Not yet benchmarked, so never recommended.

Other models from GPT

You can compare GPT 5 head-to-head against any other model on our model comparison pages, or track how pricing has changed over time on the pricing history tracker.

Frequently asked questions