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Head-to-head comparison

GPT-4o (2024-08-06) vs GPT-5.4 Nano

GPT-4o (2024-08-06) (OpenAI) and GPT-5.4 Nano (OpenAI) compared on the ModelCap Index, API price, context window, provider availability, weight access and every public benchmark board they share. Figures are the same ones shown on the live rankings; nothing here is a hidden score.

Snapshot as of 18 October 2026

As of 18 October 2026, GPT-5.4 Nano holds the stronger ModelCap Index position (#101 vs #185); GPT-5.4 Nano is 8× cheaper per output token ($1.25/1M vs $10.00/1M); and GPT-5.4 Nano offers the longer context window (400K vs 128K tokens).

Which should you choose?

Choose GPT-4o (2024-08-06) if…

  • ModelCap publishes no field on which GPT-4o (2024-08-06) leads GPT-5.4 Nano for this pair.

Choose GPT-5.4 Nano if…

  • you want the stronger overall ModelCap Index position — #101 against #185 (53.4 vs 36.8 points).
  • API cost matters — $1.25/1M output tokens against $10.00/1M, about 8× cheaper.
  • your workload is prompt-heavy — input tokens cost $0.20/1M against $2.50/1M.
  • you need the longer context window — 400K tokens against 128K.
  • Arena text is your yardstick — 1401 against 1336.
  • Arena coding is your yardstick — 1460 against 1360.
  • you want the more recently listed model — GPT-5.4 Nano was listed 17 March 2026, GPT-4o (2024-08-06) 6 August 2024.

GPT-4o (2024-08-06) vs GPT-5.4 Nano: specs, pricing and context

Specification comparison of GPT-4o (2024-08-06) and GPT-5.4 Nano
FieldGPT-4o (2024-08-06)OpenAIGPT-5.4 NanoOpenAI
ModelCap Index position#185#101
Index score36.853.4
EvidenceMeasuredMeasured
Input price / 1M tokens$2.50$0.20
Output price / 1M tokens$10.00$1.25
Context window128K tokens400K tokens
Declared route output cap16K128K
API providers listed22
Weight accessNo linked weightsNo linked weights
Input modalitiesText, Image, FileFile, Image, Text
First listed6 August 202417 March 2026
PublisherOpenAIOpenAI

Evidence: 2 public benchmark observations across 2 boards · 3 public benchmark observations across 3 boards. Prices are the lowest listed API offer per million tokens observed on the OpenRouter catalogue.

Benchmark scores: GPT-4o (2024-08-06) vs GPT-5.4 Nano

Public benchmark boards where GPT-4o (2024-08-06) or GPT-5.4 Nano has a published result
BoardGPT-4o (2024-08-06)GPT-5.4 NanoLeads
Arena textArena (LMArena)13361331–1340Not reported14011397–1405HighGPT-5.4 Nano
Arena codingArena (LMArena)13601352–136814601454–1466HighGPT-5.4 Nano
ARC-AGI-2ARC Prize Foundation—5.7%X-HighOnly one result

Scores are the sources' own published figures for each model's best evaluated configuration; ModelCap never re-runs a benchmark.

Want a different pairing? Open the interactive comparison tool to swap either model for any current ranked language model.

GPT-4o (2024-08-06) vs GPT-5.4 Nano: common questions

Is GPT-4o (2024-08-06) better than GPT-5.4 Nano?

GPT-5.4 Nano ranks higher on the ModelCap Index as of 18 October 2026: #101 against #185. That is a capability ranking built from public benchmark evidence with published uncertainty; whether it is "better" for you also depends on price, context and where you can run it. Their published uncertainty intervals do not overlap, but the aggregate Index does not predict performance on every task; compare the relevant benchmark configurations before choosing.

Is GPT-4o (2024-08-06) cheaper than GPT-5.4 Nano?

GPT-5.4 Nano is cheaper on output tokens: $1.25/1M against $10.00/1M. Input tokens are $2.50/1M for GPT-4o (2024-08-06) and $0.20/1M for GPT-5.4 Nano. Prices are the lowest listed API offer ModelCap observed, in USD per million tokens. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $10.00 for GPT-4o (2024-08-06) versus $1.02 for GPT-5.4 Nano. GPT-5.4 Nano costs 89.8% less in this scenario. This excludes caching, batch discounts, prompt-length tiers, tool charges and retries; verify the selected endpoint before budgeting.

Which has the bigger context window, GPT-4o (2024-08-06) or GPT-5.4 Nano?

GPT-5.4 Nano has the larger context window: 400K tokens against 128K. OpenRouter catalogue or provider-endpoint declaration. Limits can vary by provider and prompt length; a model-wide maximum has not been independently verified.

Which is better for coding, GPT-4o (2024-08-06) or GPT-5.4 Nano?

Arena coding: GPT-4o (2024-08-06) 1360, GPT-5.4 Nano 1460 — GPT-5.4 Nano leads.

Are GPT-4o (2024-08-06) and GPT-5.4 Nano open-weight models?

GPT-4o (2024-08-06): No linked weights. GPT-5.4 Nano: No linked weights. Open weights mean the checkpoint can be downloaded and self-hosted under its licence. A missing weight link does not identify every API or chat product that offers a model.

Where can I run GPT-4o (2024-08-06) and GPT-5.4 Nano?

ModelCap currently lists 2 API providers for GPT-4o (2024-08-06) and 2 for GPT-5.4 Nano, from the OpenRouter catalogue snapshot the site serves; each model page lists the providers and their prices.

How current is this GPT-4o (2024-08-06) vs GPT-5.4 Nano comparison?

Every figure and ModelCap Index position comes from the same published snapshot dated 18 October 2026. Publication and page updates happen separately; use the snapshot date shown on the page.

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