GPT · Fast / Budget · 272K context window

GPT 5 Nano pricing for financial analysis

$0.002000 per call at 8,000 input / 4,000 output tokens.

Per call

$0.002000

10K calls/mo

$20

Cache savings

90% off input

Batch savings

50% off all

Calculate your GPT 5 Nano costs

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

Configure your usage

8,000
100100K
4,000
5050K
10,000
1001M

Estimated cost

Monthly cost
$20
10,000 calls/month
Cost per call$0.002000
Daily cost$0.6667
Input rate$0.05/MTok
Output rate$0.40/MTok
Analyze your real spend

Quick start

Call GPT 5 Nano with the OpenAI Python SDK:

from openai import OpenAI

client = OpenAI()
response = client.chat.completions.create(
    model="gpt-5-nano",
    max_tokens=4000,
    messages=[{"role": "user", "content": "Your prompt here"}]
)
# Cost: ~$0.002000 per call at standard rates
# Input:  $0.05/MTok
# Output: $0.40/MTok

How GPT 5 Nano compares on cost

Per-call cost for all models scoring 50+ on financial analysis benchmarks. Hover for details.

Cheapest viable option: Claude Sonnet 5 at $0.0560/call (-2700% less, 90/100 quality).

What drives financial analysis cost

Financial analysis carries large structured inputs (statements, tables, time series) and produces detailed reasoning as output, so it is expensive on both sides. Tabular data is token-dense, and formatting choices in how you serialize a table can change input cost by a wide margin before you have changed anything about the model.

For GPT 5 Nano specifically, that means output tokens cost 8.0x more than input, at $0.40 vs $0.05 per MTok. At this use case’s 8,000/4,000 token split, output accounts for 80% of the $0.002000 per-call cost.

Complete GPT 5 Nano pricing breakdown

Standard token rates

Direction$/MTokTokens per call
Input$0.058,000
Output$0.404,000

Prompt caching: 90% off input tokens

Caching drops input cost from $0.05 to $0.01/MTok. For repeated system prompts, that saves $0.000360 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$0.002000$20$16.4$3.6
50,000 calls$0.002000$100$82$18
100,000 calls$0.002000$200$164$36
500,000 calls$0.002000$1,000$820$180
1,000,000 calls$0.002000$2,000$1,640$360

GPT 5 Nano quality benchmarks for financial analysis

Benchmark data for financial analysis is pending for GPT 5 Nano. Test against your own evaluation suite before moving to production.

Performance across all task types

GPT 5 Nano scores by task type. Financial 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 financial analysis

6 models score 80+ on financial analysis benchmarks, sorted by input rate. Cheapest: Claude Sonnet 5 (-2700% less, 90/100 quality).

ModelProviderInput $/MTokOutput $/MTokQualityPer callvs GPT
Claude Sonnet 5Claude$2.00$10.0090/100$0.05602700% more
Gemini 3.1 ProGemini$2.00$12.0090/100$0.06403100% more
GPT 5.6 SolGPT$4.00$20.0096/100$0.11205500% more
Claude Opus 4.8Claude$5.00$25.0097/100$0.14006900% more
GPT 5.5GPT$5.00$30.0095/100$0.16007900% more
Claude Fable 5Claude$10.00$50.0098/100$0.280013900% more

About GPT 5 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 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 5 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 Nano cost for financial analysis per API call?

A typical financial analysis call using GPT 5 Nano costs about $0.002000 per call. This estimate uses 8,000 input tokens and 4,000 output tokens at standard rates. Standard rates are $0.05 per million input tokens and $0.40 per million output tokens.

Is GPT 5 Nano the best model for financial analysis?

Our benchmark data does not yet include a financial analysis ranking for GPT 5 Nano. We recommend testing it against your own evaluation criteria before production usage.

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

The most affordable model for financial analysis 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 90/100. Switching from GPT 5 Nano to Claude Sonnet 5 saves about -2700% per API call.

How can I reduce my GPT 5 Nano costs for financial analysis?

Three strategies lower GPT 5 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 $0.002000 to about $0.000100 per call.

How does GPT 5 Nano pricing compare to other GPT models?

GPT has 34 other models alongside GPT 5 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 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 financial analysis workload prioritizes quality, cost, or speed.

What context window does GPT 5 Nano support?

GPT 5 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 financial analysis, typical calls use 8,000 input and 4,000 output tokens. That is well within this limit, leaving room for longer prompts or multi-turn conversations.

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