GPT · Fast / Budget · 272K context window

GPT 5.4 Nano pricing for sentiment analysis

$0.000225 per call at 500 input / 100 output tokens.

Per call

$0.000225

10K calls/mo

$2.25

Cache savings

90% off input

Batch savings

50% off all

Calculate your GPT 5.4 Nano costs

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

Configure your usage

500
100100K
100
5050K
10,000
1001M

Estimated cost

Monthly cost
$2
10,000 calls/month
Cost per call$0.000225
Daily cost$0.075
Input rate$0.20/MTok
Output rate$1.25/MTok
Analyze your real spend

Quick start

Call GPT 5.4 Nano with the OpenAI Python SDK:

from openai import OpenAI

client = OpenAI()
response = client.chat.completions.create(
    model="gpt-5.4-nano",
    max_tokens=100,
    messages=[{"role": "user", "content": "Your prompt here"}]
)
# Cost: ~$0.000225 per call at standard rates
# Input:  $0.20/MTok
# Output: $1.25/MTok

What drives sentiment analysis cost

Short text in, a label or score out: the cheapest shape an API call can take. Output pricing is irrelevant at this size. Because these run in bulk over historical data as often as in real time, the batch API discount typically applies, and the effective rate lands well below list.

For GPT 5.4 Nano specifically, that means output tokens cost 6.3x more than input, at $1.25 vs $0.20 per MTok. At this use case’s 500/100 token split, output accounts for 56% of the $0.000225 per-call cost.

Complete GPT 5.4 Nano pricing breakdown

Standard token rates

Direction$/MTokTokens per call
Input$0.20500
Output$1.25100

Prompt caching: 90% off input tokens

Caching drops input cost from $0.20 to $0.02/MTok. For repeated system prompts, that saves $0.000090 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$0.000225$2.25$1.35$0.9000
50,000 calls$0.000225$11.25$6.75$4.5
100,000 calls$0.000225$22.5$13.5$9
500,000 calls$0.000225$112.5$67.5$45
1,000,000 calls$0.000225$225$135$90

GPT 5.4 Nano quality benchmarks for sentiment analysis

Benchmark data for sentiment analysis is pending for GPT 5.4 Nano. Test against your own evaluation suite before moving to production.

Performance across all task types

GPT 5.4 Nano scores by task type. Sentiment Analysis 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 sentiment analysis

12 models score 80+ on sentiment analysis benchmarks, sorted by input rate. Cheapest: GPT 5.6 Luna (2% less, 91/100 quality).

ModelProviderInput $/MTokOutput $/MTokQualityPer callvs GPT
GPT 5.6 LunaGPT$0.20$1.2091/100$0.0002202% cheaper
Gemini 3.5 Flash-LiteGemini$0.30$2.5085/100$0.00040078% more
Gemini 3 FlashGemini$0.50$3.0088/100$0.000550144% more
Claude Haiku 4.5Claude$1.00$5.0090/100$0.001000344% more
Gemini 3.5 FlashGemini$1.50$9.0092/100$0.001650633% more
Claude Sonnet 5Claude$2.00$10.0086/100$0.002000789% more
GPT 5.6 TerraGPT$2.00$12.0089/100$0.002200878% more
Gemini 3.1 ProGemini$2.00$12.0086/100$0.002200878% more
GPT 5.4GPT$2.50$15.0088/100$0.0027501122% more
Claude Sonnet 4.6Claude$3.00$15.0084/100$0.0030001233% more
GPT 5.6 SolGPT$4.00$20.0086/100$0.0040001678% more
GPT 5.5GPT$5.00$30.0085/100$0.0055002344% more

About GPT 5.4 Nano

Provider

GPT

Tier

Fast / Budget

Context

272K 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 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 5.4 Nano 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 5.4 Nano cost for sentiment analysis per API call?

A typical sentiment analysis call using GPT 5.4 Nano costs about $0.000225 per call. This estimate uses 500 input tokens and 100 output tokens at standard rates. Standard rates are $0.20 per million input tokens and $1.25 per million output tokens.

Is GPT 5.4 Nano the best model for sentiment analysis?

Our benchmark data does not yet include a sentiment analysis ranking for GPT 5.4 Nano. We recommend testing it against your own evaluation criteria before production usage.

What is the cheapest model for sentiment analysis with good quality?

The most affordable model for sentiment analysis above 80/100 quality is GPT 5.6 Luna. It comes from GPT at $0.20 per million input tokens. Output costs $1.20 per million tokens with a quality score of 91/100. Switching from GPT 5.4 Nano to GPT 5.6 Luna saves about 2% per API call.

How can I reduce my GPT 5.4 Nano costs for sentiment analysis?

Three strategies lower GPT 5.4 Nano costs for this task type effectively. Prompt caching gives a 90% 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 $0.000225 to about $0.000011 per call.

How does GPT 5.4 Nano pricing compare to other GPT models?

GPT has 34 other models alongside GPT 5.4 Nano 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 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 sentiment analysis workload prioritizes quality, cost, or speed.

What context window does GPT 5.4 Nano support?

GPT 5.4 Nano supports a context window of 272K tokens per API call. This sets the maximum combined length of your input prompt and generated response. For sentiment analysis, typical calls use 500 input and 100 output tokens. That is well within this limit, leaving room for longer prompts or multi-turn conversations.

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