GPT-5 Nano vs GPT-5.5 Pro

Benchmark Performance

Available Benchmarks

BenchmarkGPT-5 NanoGPT-5.5 Pro
ARC-AGI-1verified-v1-b2e2a31b3d53 · verified_score · leader20.7121% of row best · percent · GPT-5 Nano (Medium)96.50100% of row best · percent · GPT-5.5 Pro (High)
ARC-AGI-2verified-v2-326661568d5f · verified_score · leader2.613% of row best · percent · GPT-5 Nano (High)84.58100% of row best · percent · GPT-5.5 Pro (High)
Overall ResultCounted from the protocol-matched rows above0 benchmark wins2 benchmark winsOverall lead

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 NanoVerified Sep 3, 2026
OpenAI · activeGPT-5.5 ProVerified Sep 3, 2026

Technical Differences

Side-by-Side Facts

Indexable
FieldGPT-5 NanoGPT-5.5 Pro
DeveloperOpenAIOpenAI
FamilyGpt 5Gpt 5 5
ModelGPT-5 NanoGPT-5.5 Pro
VersionGPT-5 NanoGPT-5.5 Pro
Lifecycleactiveactive
Released2025-08-072026-04-23
Knowledge cutoff2024-05-312025-12-01
Input modalitiesText, ImageText, Image
Output modalitiesTextText
Context window400,0001,050,000
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

15 comparable fields · 6 material differences · Pair passes the primary-source comparison gate

GPT-5 Nano Capabilities

chatgenerationreasoningstructured outputstools
Input price$0.025
Output price$0.20
Serving providers2
Canonical IDopenai/gpt-5-nano

GPT-5.5 Pro Capabilities

chatgenerationreasoningstructured outputstools
Input price$30.00
Output price$180.00
Serving providers2
Canonical IDopenai/gpt-5.5-pro

Internal Comparison Graph

Related Comparisons

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Primary Evidence

Sources and Freshness

Questions

GPT-5 Nano vs GPT-5.5 Pro FAQs

Is GPT-5 Nano or GPT-5.5 Pro better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both GPT-5 Nano and GPT-5.5 Pro, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, GPT-5 Nano or GPT-5.5 Pro?+

GPT-5 Nano is $0.025 and GPT-5.5 Pro is $30.00 per million tokens, so GPT-5 Nano is cheaper on this metric. GPT-5 Nano is $0.20 and GPT-5.5 Pro is $180.00 per million tokens, so GPT-5 Nano is cheaper on this metric.

Which has a larger context window, GPT-5 Nano or GPT-5.5 Pro?+

GPT-5.5 Pro has the larger sourced context window. GPT-5 Nano supports 400,000 and GPT-5.5 Pro supports 1,050,000.

Which performs better in benchmarks, GPT-5 Nano or GPT-5.5 Pro?+

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

Can GPT-5 Nano or GPT-5.5 Pro be self-hosted?+

Both models have the same recorded self-hosting status: unsupported. GPT-5 Nano is not marked open weight; GPT-5.5 Pro is not marked open weight.

Can GPT-5 Nano and GPT-5.5 Pro understand images?+

GPT-5 Nano is documented with image input; GPT-5.5 Pro is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, GPT-5 Nano or GPT-5.5 Pro?+

Neither has a larger sourced maximum output. GPT-5 Nano is 128,000 and GPT-5.5 Pro is 128,000.

Do GPT-5 Nano and GPT-5.5 Pro support reasoning and tool use?+

GPT-5 Nano: reasoning, tool calling, and image input. GPT-5.5 Pro: reasoning, tool calling, and image input. Feature support does not establish relative quality.

Which is available from more inference providers, GPT-5 Nano or GPT-5.5 Pro?+

GPT-5 Nano has 2 sourced provider routes; GPT-5.5 Pro has 2, a tie.

Which offers better value, GPT-5 Nano or GPT-5.5 Pro?+

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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