GPT · Flagship · 200K context window

o3 Pro pricing for bug detection

$0.2600 per call at 5,000 input / 2,000 output tokens.

Per call

$0.2600

10K calls/mo

$2,600

Cache savings

0% off input

Batch savings

50% off all

Calculate your o3 Pro costs

Adjust token counts, volume, and discount toggles to model your bug detection spend. Prices verified daily against provider pricing pages.

Configure your usage

5,000
100100K
2,000
5050K
10,000
1001M

Estimated cost

Monthly cost
$2,600
10,000 calls/month
Cost per call$0.26
Daily cost$87
Input rate$20.00/MTok
Output rate$80.00/MTok
Analyze your real spend

Quick start

Call o3 Pro with the OpenAI Python SDK:

from openai import OpenAI

client = OpenAI()
response = client.chat.completions.create(
    model="o3-pro",
    max_tokens=2000,
    messages=[{"role": "user", "content": "Your prompt here"}]
)
# Cost: ~$0.2600 per call at standard rates
# Input:  $20.00/MTok
# Output: $80.00/MTok

How o3 Pro compares on cost

Per-call cost for all models scoring 50+ on bug detection benchmarks. Hover for details.

Cheapest viable option: Claude Sonnet 5 at $0.0300/call (88% less, 96/100 quality).

What drives bug detection cost

Bug detection sends a file and gets back a short list of suspected defects, so input dominates and output stays small. That makes it cheap per call and tempting to run continuously, which is the real cost driver: frequency, not per-call price. Caching the unchanged parts of the codebase and running only on changed files is worth more than switching models.

For o3 Pro specifically, that means output tokens cost 4.0x more than input, at $80.00 vs $20.00 per MTok. At this use case’s 5,000/2,000 token split, output accounts for 62% of the $0.2600 per-call cost.

Complete o3 Pro pricing breakdown

Standard token rates

Direction$/MTokTokens per call
Input$20.005,000
Output$80.002,000

Prompt caching: 0% off input tokens

Caching drops input cost from $20.00 to $20.00/MTok. For repeated system prompts, that saves $0.0000 per call.

Batch API: 50% off all tokens

Submit requests asynchronously and receive 50% off all token costs. This works best for offline pipelines where latency requirements are flexible.

Monthly cost projections

Monthly volumeCost per callStandard monthlyCached monthlyYou save with caching
10,000 calls$0.2600$2,600$2,600$0.0000
50,000 calls$0.2600$13,000$13,000$0.0000
100,000 calls$0.2600$26,000$26,000$0.0000
500,000 calls$0.2600$130,000$130,000$0.0000
1,000,000 calls$0.2600$260,000$260,000$0.0000

o3 Pro quality benchmarks for bug detection

Benchmark data for bug detection is pending for o3 Pro. Test against your own evaluation suite before moving to production.

Performance across all task types

o3 Pro scores by task type. Bug Detection highlighted.

Task typeConfidence scoreRank out of 72

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.

Alternative models for bug detection

6 models score 80+ on bug detection benchmarks, sorted by input rate. Cheapest: Claude Sonnet 5 (88% less, 96/100 quality).

ModelProviderInput $/MTokOutput $/MTokQualityPer callvs o3
Claude Sonnet 5Claude$2.00$10.0096/100$0.030088% cheaper
Claude Sonnet 4.6Claude$3.00$15.0095/100$0.045083% cheaper
GPT 5.6 SolGPT$4.00$20.0092/100$0.060077% cheaper
Claude Opus 4.8Claude$5.00$25.0094/100$0.075071% cheaper
GPT 5.5GPT$5.00$30.0090/100$0.085067% cheaper
Claude Fable 5Claude$10.00$50.0095/100$0.150042% cheaper

About o3 Pro

Provider

GPT

Tier

Flagship

Context

200K tokens

Released

Not published

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

ModelTierInput $/MTokOutput $/MTokContext
GPT 5.5Flagship$5.00$30.001,050K
GPT 5.4Mid-tier$2.50$15.001,050K
GPT 5.6 SolFlagship$4.00$20.00922K
GPT 5.6 TerraMid-tier$2.00$12.00922K
GPT 5.6 LunaFast / Budget$0.20$1.20922K
GPT 3.5 TurboFast / Budget$0.50$1.5016.385K
GPT 3.5 Turbo (0125)Fast / Budget$0.50$1.5016.385K
GPT 4 (0613)Flagship$30.00$60.008.192K
GPT 4 Turbo (2024-04-09)Flagship$10.00$30.00128K
GPT 4.1Mid-tier$2.00$8.001,047.576K
GPT 4.1 MiniFast / Budget$0.40$1.601,047.576K
GPT 4.1 NanoFast / Budget$0.10$0.401,047.576K
GPT 4oMid-tier$2.50$10.00128K
GPT 4o (2024-05-13)Flagship$5.00$15.00128K
GPT 4o MiniFast / Budget$0.15$0.60128K
GPT 5Mid-tier$1.25$10.00272K
GPT 5 MiniFast / Budget$0.25$2.00272K
GPT 5 NanoFast / Budget$0.05$0.40272K
GPT 5 ProFlagship$15.00$120.00400K
GPT 5.1Mid-tier$1.25$10.00272K
GPT 5.2Mid-tier$1.75$14.00272K
GPT 5.2 ProFlagship$21.00$168.00272K
GPT 5.4 MiniFast / Budget$0.75$4.50272K
GPT 5.4 NanoFast / Budget$0.20$1.25272K
GPT 5.4 ProFlagship$30.00$180.001,050K
GPT 5.5 ProFlagship$30.00$180.001,050K
GPT 6 AstraFlagship$10.00$50.00922K
GPT 6 LunaFast / Budget$0.10$0.50922K
GPT 6 SolFlagship$2.00$10.00922K
o1Flagship$15.00$60.00200K
o1 ProFlagship$150.00$600.00200K
o3Mid-tier$2.00$8.00200K
o3 MiniFast / Budget$1.10$4.40200K
o4 MiniFast / Budget$1.10$4.40200K

You can compare o3 Pro 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

How much does o3 Pro cost for bug detection per API call?

A typical bug detection call using o3 Pro costs about $0.2600 per call. This estimate uses 5,000 input tokens and 2,000 output tokens at standard rates. Standard rates are $20.00 per million input tokens and $80.00 per million output tokens.

Is o3 Pro the best model for bug detection?

Our benchmark data does not yet include a bug detection ranking for o3 Pro. We recommend testing it against your own evaluation criteria before production usage.

What is the cheapest model for bug detection with good quality?

The most affordable model for bug detection above 80/100 quality is Claude Sonnet 5. It comes from Claude at $2.00 per million input tokens. Output costs $10.00 per million tokens with a quality score of 96/100. Switching from o3 Pro to Claude Sonnet 5 saves about 88% per API call.

How can I reduce my o3 Pro costs for bug detection?

Three strategies lower o3 Pro costs for this task type effectively. Prompt caching gives a 0% discount on input tokens when reusing system prompts. The batch API gives 50% off all tokens for asynchronous processing workloads. Prompt optimization reduces token counts through more concise instructions and context windows. Combining caching with batching brings your cost from $0.2600 to about $0.1300 per call.

How does o3 Pro pricing compare to other GPT models?

GPT has 34 other models alongside o3 Pro today: GPT 5.5 at $5.00/$30.00 per million tokens (flagship), GPT 5.4 at $2.50/$15.00 per million tokens (mid-tier), GPT 5.6 Sol at $4.00/$20.00 per million tokens (flagship), GPT 5.6 Terra at $2.00/$12.00 per million tokens (mid-tier), GPT 5.6 Luna at $0.20/$1.20 per million tokens (fast / budget), GPT 3.5 Turbo at $0.50/$1.50 per million tokens (fast / budget), GPT 3.5 Turbo (0125) at $0.50/$1.50 per million tokens (fast / budget), GPT 4 (0613) at $30.00/$60.00 per million tokens (flagship), GPT 4 Turbo (2024-04-09) at $10.00/$30.00 per million tokens (flagship), GPT 4.1 at $2.00/$8.00 per million tokens (mid-tier), GPT 4.1 Mini at $0.40/$1.60 per million tokens (fast / budget), GPT 4.1 Nano at $0.10/$0.40 per million tokens (fast / budget), GPT 4o at $2.50/$10.00 per million tokens (mid-tier), GPT 4o (2024-05-13) at $5.00/$15.00 per million tokens (flagship), GPT 4o Mini at $0.15/$0.60 per million tokens (fast / budget), GPT 5 at $1.25/$10.00 per million tokens (mid-tier), GPT 5 Mini at $0.25/$2.00 per million tokens (fast / budget), GPT 5 Nano at $0.05/$0.40 per million tokens (fast / budget), GPT 5 Pro at $15.00/$120.00 per million tokens (flagship), GPT 5.1 at $1.25/$10.00 per million tokens (mid-tier), GPT 5.2 at $1.75/$14.00 per million tokens (mid-tier), GPT 5.2 Pro at $21.00/$168.00 per million tokens (flagship), GPT 5.4 Mini at $0.75/$4.50 per million tokens (fast / budget), GPT 5.4 Nano at $0.20/$1.25 per million tokens (fast / budget), GPT 5.4 Pro at $30.00/$180.00 per million tokens (flagship), GPT 5.5 Pro at $30.00/$180.00 per million tokens (flagship), GPT 6 Astra at $10.00/$50.00 per million tokens (flagship), GPT 6 Luna at $0.10/$0.50 per million tokens (fast / budget), GPT 6 Sol at $2.00/$10.00 per million tokens (flagship), o1 at $15.00/$60.00 per million tokens (flagship), o1 Pro at $150.00/$600.00 per million tokens (flagship), o3 at $2.00/$8.00 per million tokens (mid-tier), o3 Mini at $1.10/$4.40 per million tokens (fast / budget), o4 Mini at $1.10/$4.40 per million tokens (fast / budget). The right choice depends on whether your bug detection workload prioritizes quality, cost, or speed.

What context window does o3 Pro support?

o3 Pro supports a context window of 200K tokens per API call. This sets the maximum combined length of your input prompt and generated response. For bug detection, typical calls use 5,000 input and 2,000 output tokens. That is well within this limit, leaving room for longer prompts or multi-turn conversations.

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This calculator estimates costs based on published rates only. Connect your API usage to see where your money goes and which models drive your spend.