Source-tracked model comparison

GPT-5.4 Mini vs Claude Haiku 4.5: how do code-review API costs compare?

Compare verified pricing and model limits for compact-model cost for code review assistance. The cost example uses a code review assistant workload and does not assume equal model quality.

Direct cost answer: Claude Haiku 4.5 is estimated at $226.50 per month and gpt-5.4-mini at $183.38 for 15,000 input tokens, 1,800 output tokens, and 10,000 monthly requests. gpt-5.4-mini is $43.13 lower under these assumptions. This does not identify a quality winner.

Current provider alternativesCode review assistantSources checked 2026-07-12 / 2026-07-13

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Tracked facts

Pricing and model limits

Prices are USD per 1M tokens under each model's verified default profile.

Field	Claude Haiku 4.5	gpt-5.4-mini
Provider	Anthropic	OpenAI
API model ID	`claude-haiku-4-5-20251001`	`gpt-5.4-mini`
Input / 1M	$1.00	$0.75
Cached input / 1M	$0.10	$0.075
Output / 1M	$5.00	$4.50
Context window	200,000 tokens	400,000 tokens
Maximum output	64,000 tokens	128,000 tokens
Accepted input	text, image	text, image

Example workload

Code review assistant cost scenario

15,000 input and 1,800 output tokens per request, 10,000 monthly requests, and 10% cached input.

Anthropic

Claude Haiku 4.5

$226.50 / month

Input cost: $136.50
Output cost: $90.00
Per 1,000 calls: $22.65
Pricing profile: standard

View model details

OpenAI

gpt-5.4-mini

$183.38 / month

Input cost: $102.38
Output cost: $81.00
Per 1,000 calls: $18.34
Pricing profile: standard / short context

View model details

Cost result: gpt-5.4-mini is $43.13 lower per month for these assumptions. This is a price comparison, not a model-quality ranking.

StackLens assessment

Questions to answer before choosing

Which model catches the review cases the team values?
How many follow-up calls are needed per review?
Do provider controls change the rollout decision?

Workload caveat

What this estimate leaves out

This scenario does not claim equal review quality and excludes code indexing, sandbox, and repository-hosting costs.

Latency, reliability, output quality, retries, regional processing, and provider-specific tool charges can change the practical decision.

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