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Model details

GPT-5.4 nano

GPT-5.4 nano sits at the budget end of the GPT-5.4 generation, released on March 17, 2026 alongside the GPT-5.4-mini variant as a deliberately compact option for high-volume, price-sensitive workloads. Its positioning as the most affordable member of the series reflects a design trade-off that favors throughput and accessibility over peak capability, making it a practical choice for routing routine queries, large-scale classification, or background automation where premium-tier reasoning is not required. As a small sibling of the broader GPT-5.4 family, it inherits the same multimodal input contract while keeping operational costs substantially lighter, which is the central reason teams adopt it instead of larger family members.

Independent leaderboard evidence paints a mixed performance picture that buyers should weigh against price. On the LLM Stats composite index, GPT-5.4 nano lands at rank 150 with an overall score of 26.6 at a blended price around $0.25 per million tokens, and it sits in the lower tier across most tracked categories, including reasoning, coding, math, tool calling, vision, and long-context evaluations. It shows relative strength in lightweight interactive domains such as games and 3D tasks, where it lands in the upper half of the field, suggesting the model is best fit for conversational, generative, or visual prototyping work rather than demanding analytical pipelines. For practitioners, this means the value proposition is volume and responsiveness rather than frontier accuracy.

Oppergpt-5.4-nanogpt-nano

Quick Info

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Provider
Opper
Model key
gpt-5.4-nano
Release date
Mar 17, 2026
Last updated
Mar 17, 2026
Knowledge cutoff
2025-08-31
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$0.20
Output token cost
$1.25

Limits

Input tokens
272,000 tokens
Output tokens
128,000 tokens
Context window
400,000 tokens

Transparent token rates

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Rates are shown per one million tokens. Combined means one million input plus one million output tokens.

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Latest news about GPT-5.4 nano

Abacus

CoverageBenchmark

BenchmarkList presents GPT-5.4 Nano-specific results across agentic evaluations, including a Terminal-Bench Hard success rate of 42.4% (rank 26/32, 92nd percentile, dated 2026-06-10), Tau3-Banking Pass@1 of 27.4% (rank 38/174, 79th percentile, dated 2026-09-02), GDPval-AA Score Elo of 1,104 (rank 79/340, 77th percentil On competitive comparisons, GPT-5.4 Nano's 27.4% on Tau3-Banking trails field leaders like GLM-5.3 at 50.3% (−22.9 pp), and its GDPval-AA Elo of 1,104 sits 756.75 points below Opus 5 (1,861 Elo). The benchmark tracker also surfaces a Hindsight LLM Memory Leaderboard entry for the model. These independently sourced scor

GitHub Copilot

CoverageRelease Notes

EdTech Innovation Hub reports that OpenAI released GPT-5.4 nano alongside GPT-5.4 mini on March 19, 2026, as smaller models designed for high-volume workloads in production environments. Sourced from an OpenAI for Business LinkedIn post, the models extend GPT-5.4 capabilities into more efficient formats for coding assi GPT-5.4 nano is described as the smallest and lowest-cost model in the series, optimized for classification, data extraction, ranking, and coding subagents. The article situates the release within a broader architectural shift toward multi-model systems, in which larger models handle planning and decision-making while

FrogBot

CoverageBenchmark

According to the Roboflow Playground page, GPT-5.4 nano was developed by OpenAI and released on March 17, 2026, as the efficiency-optimized entry in the GPT-5.4 family. The page highlights an expanded 400,000-token context window enabling large document batches or extensive logs to be processed in a single pass. The mo GPT-5.4 nano supports both text and image inputs but is positioned as a text-first model rather than a specialized visual reasoning tool — the page notes intensive vision reasoning and UI navigation are better delegated to GPT-5.4 mini. Compared to GPT-5 nano, this version offers a significant leap in reliability for s

Pioneer

CoverageBenchmark

The AI Release Tracker catalog lists GPT-5.4 nano as one of OpenAI's 44 tracked model releases, dated Tuesday, March 17, 2026, alongside GPT-5.4 mini. The page situates the model within OpenAI's broader release cadence, which averages a new model approximately every 37 days, and provides release counts by year and day The tracker notes that GPT-5.4 nano is one of two tracked 2026 releases in the GPT-5.4 line, with the broader family including GPT-5.4, GPT-5.4-Pro, GPT-5.4 mini, and GPT-5.4 nano. The page characterizes 2 of the 44 tracked OpenAI models as open-weight or open-source, with the rest proprietary. As an aggregator, the pa

FrogBot

CoverageBenchmark

An independent intelligence and performance index lists GPT-5.4 nano as a distinct variant within OpenAI's catalog, reporting measured output speed of 166 tokens per second for the xhigh configuration. GPT-5.4 nano (Non-reasoning) achieves a latency of 0.76 seconds to first answer token, placing it among the lowest-lat The same index ranks GPT-5.4 mini (xhigh) at 191 t/s output speed, placing both GPT-5.4 variants among the fastest OpenAI models while GPT-5.4 nano specifically targets speed-critical, cost-sensitive workloads. This aggregator data provides independent corroboration of nano's variant-level performance characteristics w

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