GPT · Mid-tier · 128K context window

GPT 4o pricing for unit test generation

$0.0575 per call at 3,000 input / 5,000 output tokens.

Per call

$0.0575

10K calls/mo

$575

Cache savings

50% off input

Batch savings

50% off all

Calculate your GPT 4o costs

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

Configure your usage

3,000
100100K
5,000
5050K
10,000
1001M

Estimated cost

Monthly cost
$575
10,000 calls/month
Cost per call$0.0575
Daily cost$19
Input rate$2.50/MTok
Output rate$10.00/MTok
Analyze your real spend

Quick start

Call GPT 4o with the OpenAI Python SDK:

from openai import OpenAI

client = OpenAI()
response = client.chat.completions.create(
    model="gpt-4o",
    max_tokens=5000,
    messages=[{"role": "user", "content": "Your prompt here"}]
)
# Cost: ~$0.0575 per call at standard rates
# Input:  $2.50/MTok
# Output: $10.00/MTok

How GPT 4o compares on cost

Per-call cost for all models scoring 50+ on unit test generation benchmarks. Hover for details.

Cheapest viable option: Claude Sonnet 5 at $0.0560/call (3% less, 93/100 quality).

What drives unit test generation cost

Test generation is the rare code task where input and output are both large: you send the function under test plus its dependencies, and get back a full suite of cases. Expect 3K in, 5K out. Because the source file rarely changes between runs, cache reads pay off faster here than in almost any other use case: the same file gets resent every time you regenerate a suite.

For GPT 4o specifically, that means output tokens cost 4.0x more than input, at $10.00 vs $2.50 per MTok. At this use case’s 3,000/5,000 token split, output accounts for 87% of the $0.0575 per-call cost.

Complete GPT 4o pricing breakdown

Standard token rates

Direction$/MTokTokens per call
Input$2.503,000
Output$10.005,000

Prompt caching: 50% off input tokens

Caching drops input cost from $2.50 to $1.25/MTok. For repeated system prompts, that saves $0.003750 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$0.0575$575$537.5$37.5
50,000 calls$0.0575$2,875$2,687.5$187.5
100,000 calls$0.0575$5,750$5,375$375
500,000 calls$0.0575$28,750$26,875$1,875
1,000,000 calls$0.0575$57,500$53,750$3,750

GPT 4o quality benchmarks for unit test generation

Benchmark data for unit test generation is pending for GPT 4o. Test against your own evaluation suite before moving to production.

Performance across all task types

GPT 4o scores by task type. Unit Test Generation 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 unit test generation

6 models score 80+ on unit test generation benchmarks, sorted by input rate. Cheapest: Claude Sonnet 5 (3% less, 93/100 quality).

ModelProviderInput $/MTokOutput $/MTokQualityPer callvs GPT
Claude Sonnet 5Claude$2.00$10.0093/100$0.05603% cheaper
Claude Sonnet 4.6Claude$3.00$15.0092/100$0.084046% more
GPT 5.6 SolGPT$4.00$20.0094/100$0.112095% more
Claude Opus 4.8Claude$5.00$25.0095/100$0.1400143% more
GPT 5.5GPT$5.00$30.0091/100$0.1650187% more
Claude Fable 5Claude$10.00$50.0096/100$0.2800387% more

About GPT 4o

Provider

GPT

Tier

Mid-tier

Context

128K 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 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
o3 ProFlagship$20.00$80.00200K
o4 MiniFast / Budget$1.10$4.40200K

You can compare GPT 4o 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 GPT 4o cost for unit test generation per API call?

A typical unit test generation call using GPT 4o costs about $0.0575 per call. This estimate uses 3,000 input tokens and 5,000 output tokens at standard rates. Standard rates are $2.50 per million input tokens and $10.00 per million output tokens.

Is GPT 4o the best model for unit test generation?

Our benchmark data does not yet include a unit test generation ranking for GPT 4o. We recommend testing it against your own evaluation criteria before production usage.

What is the cheapest model for unit test generation with good quality?

The most affordable model for unit test generation 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 93/100. Switching from GPT 4o to Claude Sonnet 5 saves about 3% per API call.

How can I reduce my GPT 4o costs for unit test generation?

Three strategies lower GPT 4o costs for this task type effectively. Prompt caching gives a 50% 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 $0.0575 to about $0.0144 per call.

How does GPT 4o pricing compare to other GPT models?

GPT has 34 other models alongside GPT 4o 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 (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), o3 Pro at $20.00/$80.00 per million tokens (flagship), o4 Mini at $1.10/$4.40 per million tokens (fast / budget). The right choice depends on whether your unit test generation workload prioritizes quality, cost, or speed.

What context window does GPT 4o support?

GPT 4o supports a context window of 128K tokens per API call. This sets the maximum combined length of your input prompt and generated response. For unit test generation, typical calls use 3,000 input and 5,000 output tokens. That is well within this limit, leaving room for longer prompts or multi-turn conversations.

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