GPT-5.4 Nano vs o3

At a Glance

Compare
o3OpenAI
Intelligence, Cost, and Efficiency
IntelligenceHigher is better · MM Intelligence v2.5#42 of 4614.7 score · 3/3 sources · completeUnrankedNot in the 46-model eligible cohort
CostLower is better · Published-token output estimate#14 of 44$0.058 per LiveBench caseUnrankedNot in the 44-model eligible cohort
EfficiencyHigher is better · MM Efficiency v1.5#37 of 3837.5 score · 3/3 sources · completeUnrankedNot in the 38-model eligible cohort
Pricing and Limits
Input priceFrom · USD / 1M tokens$0.20Openai · Sep 3, 2026$1.00Openrouter · Sep 3, 2026
Output priceFrom · USD / 1M tokens$1.25Openai · Sep 3, 2026$4.00Openrouter · Sep 3, 2026
Context windowMaximum documented tokens400K200K
Model facts checkedSep 3, 2026View model evidence →Sep 3, 2026View model evidence →

Token prices are the lowest available sourced USD rates; input and output may use different providers. Cost ranking estimates output spend on LiveBench, not a full request bill. Ranking methodology →

Available Benchmarks

All benchmark results →
No Protocol-Matched Benchmark Yet.Results appear here only when both models share the same benchmark version, metric, evaluation protocol, and evidence class.

Side-by-Side Facts

FieldGPT-5.4 Nanoo3
DeveloperOpenAIOpenAI
FamilyGpt 5 4O3
ModelGPT-5.4 Nanoo3
VersionGPT-5.4 Nanoo3
Lifecycleactiveactive
Released2026-03-172025-04-16
Knowledge cutoff2025-08-312024-06-01
Input modalitiesText, ImageText, Image
Output modalitiesTextText
Context window400K200K
Total parametersUnknownUnknown
Active parametersUnknownUnknown
LicenseUnknownUnknown
Open weightsNoNo
API availableYesYes
Self-hostableNoNo
Provider accessOpenai (Standard), Openrouter (Standard)Openai (Standard), Openrouter (Standard)
Capabilitieschat, generation, reasoning, structured_outputs, toolschat, generation, reasoning, structured_outputs, tools

GPT-5.4 Nano Capabilities

chatgenerationreasoningstructured outputstools
Serving providers2
Canonical IDopenai/gpt-5.4-nano

o3 Capabilities

chatgenerationreasoningstructured outputstools
Serving providers2
Canonical IDopenai/o3

Primary Evidence

Sources and Freshness

Questions

GPT-5.4 Nano vs o3 FAQs

Is GPT-5.4 Nano or o3 better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both GPT-5.4 Nano and o3, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, GPT-5.4 Nano or o3?+

GPT-5.4 Nano is $0.20 and o3 is $1.00 per million tokens, so GPT-5.4 Nano is cheaper on this metric. GPT-5.4 Nano is $1.25 and o3 is $4.00 per million tokens, so GPT-5.4 Nano is cheaper on this metric.

Which has a larger context window, GPT-5.4 Nano or o3?+

GPT-5.4 Nano has the larger sourced context window. GPT-5.4 Nano supports 400K and o3 supports 200K.

Which performs better in benchmarks, GPT-5.4 Nano or o3?+

There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.

Can GPT-5.4 Nano or o3 be self-hosted?+

Both models have the same recorded self-hosting status: unsupported. GPT-5.4 Nano is not marked open weight; o3 is not marked open weight.

Can GPT-5.4 Nano and o3 understand images?+

GPT-5.4 Nano is documented with image input; o3 is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, GPT-5.4 Nano or o3?+

GPT-5.4 Nano has the larger sourced maximum output: GPT-5.4 Nano supports 128K and o3 supports 100K output tokens.

Do GPT-5.4 Nano and o3 support reasoning and tool use?+

GPT-5.4 Nano: reasoning, tool calling, and image input. o3: reasoning, tool calling, and image input. Feature support does not establish relative quality.

Which is available from more inference providers, GPT-5.4 Nano or o3?+

GPT-5.4 Nano has 2 sourced provider routes; o3 has 2, a tie.

Which offers better value, GPT-5.4 Nano or o3?+

There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.

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