GPT-5 Pro vs GPT-5.4 Nano

Benchmark Performance

Available Benchmarks

BenchmarkGPT-5 ProGPT-5.4 Nano
ARC-AGI-1verified-v1-15fb467fd4fc · verified_score · leader70.17100% of row best · percent · GPT-5 Pro51.5073% of row best · percent · GPT-5.4 Nano (XHigh)
ARC-AGI-2verified-v2-9a3db289984e · verified_score · leader18.33100% of row best · percent · GPT-5 Pro5.6931% of row best · percent · GPT-5.4 Nano (XHigh)
Overall ResultCounted from the protocol-matched rows above2 benchmark winsOverall lead0 benchmark wins

Third-party benchmark Only like-for-like primary-publisher results are shown; raw scores, relative scores, configuration, and token spend remain visible.

FieldAt a Glance
Openai · activeGPT-5 ProVerified Sep 3, 2026
Openai · activeGPT-5.4 NanoVerified Sep 3, 2026
Not a Valid ComparisonThese records do not share a sourced modality and workload.

Technical Differences

Side-by-Side Facts

Interactive only
FieldGPT-5 ProGPT-5.4 Nano
DeveloperOpenaiOpenai
FamilyGpt 5Gpt 5 4
ModelGPT-5 ProGPT-5.4 Nano
VersionGPT-5 ProGPT-5.4 Nano
Lifecycleactiveactive
Released2025-10-062026-03-17
Knowledge cutoff2024-09-302025-08-31
Input modalitiesUnknownUnknown
Output modalitiesUnknownUnknown
Context window400,000400,000
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

13 comparable fields · 5 material differences · Interactive comparison only; indexing gate not met

GPT-5 Pro Capabilities

chatgenerationreasoningstructured outputstools
Input price$7.50
Output price$60.00
Serving providers2
Canonical IDopenai/gpt-5-pro

GPT-5.4 Nano Capabilities

chatgenerationreasoningstructured outputstools
Input price$0.20
Output price$1.25
Serving providers2
Canonical IDopenai/gpt-5.4-nano

Primary Evidence

Sources and Freshness

Questions

GPT-5 Pro vs GPT-5.4 Nano FAQs

Is GPT-5 Pro or GPT-5.4 Nano better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both GPT-5 Pro and GPT-5.4 Nano, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, GPT-5 Pro or GPT-5.4 Nano?+

GPT-5 Pro is $7.50 and GPT-5.4 Nano is $0.20 per million tokens, so GPT-5.4 Nano is cheaper on this metric. GPT-5 Pro is $60.00 and GPT-5.4 Nano is $1.25 per million tokens, so GPT-5.4 Nano is cheaper on this metric.

Which has a larger context window, GPT-5 Pro or GPT-5.4 Nano?+

Neither model has a larger sourced context window in this comparison. GPT-5 Pro is 400,000 and GPT-5.4 Nano is 400,000.

Which performs better in benchmarks, GPT-5 Pro or GPT-5.4 Nano?+

There is no overall benchmark winner: An overall winner requires at least two decisive benchmarks from at least two original publishers.

Can GPT-5 Pro or GPT-5.4 Nano be self-hosted?+

Both models have the same recorded self-hosting status: unsupported. GPT-5 Pro is not marked open weight; GPT-5.4 Nano is not marked open weight.

Can GPT-5 Pro and GPT-5.4 Nano understand images?+

GPT-5 Pro is not documented with image input; GPT-5.4 Nano is not documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, GPT-5 Pro or GPT-5.4 Nano?+

GPT-5 Pro has the larger sourced maximum output: GPT-5 Pro supports 272,000 and GPT-5.4 Nano supports 128,000 output tokens.

Do GPT-5 Pro and GPT-5.4 Nano support reasoning and tool use?+

GPT-5 Pro: reasoning and tool calling. GPT-5.4 Nano: reasoning and tool calling. Feature support does not establish relative quality.

Which is available from more inference providers, GPT-5 Pro or GPT-5.4 Nano?+

GPT-5 Pro has 2 sourced provider routes; GPT-5.4 Nano has 2, a tie.

Which offers better value, GPT-5 Pro or GPT-5.4 Nano?+

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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