Phi-4 Reasoning vs GPT-5 Nano

Benchmark Performance

Available Benchmarks

No Protocol-Matched Benchmark Yet.Results appear here only when both models share the same benchmark version, metric, evaluation protocol, and evidence class.
FieldAt a Glance
Microsoft · activePhi-4 ReasoningVerified Aug 28, 2026
OpenAI · activeGPT-5 NanoVerified Sep 3, 2026

Technical Differences

Side-by-Side Facts

Indexable
FieldPhi-4-reasoningGPT-5 Nano
DeveloperMicrosoftOpenAI
FamilyPhi 4 ReasoningGpt 5
ModelPhi-4-reasoningGPT-5 Nano
VersionPhi-4-reasoningGPT-5 Nano
Lifecycleactiveactive
Released2025-04-302025-08-07
Knowledge cutoffUnknown2024-05-31
Input modalitiesTextText, Image
Output modalitiesTextText
Context window33K400K
Total parameters14.7BUnknown
Active parametersUnknownUnknown
LicensemitUnknown
Open weightsYesNo
API availableUnknownYes
Self-hostableYesNo
Provider accessUnknownOpenai (Standard), Openrouter (Standard)
Capabilitieschat, generation, reasoningchat, generation, reasoning, structured_outputs, tools

12 comparable fields · 10 material differences · Pair passes the primary-source comparison gate

Phi-4 Reasoning Capabilities

chatgenerationreasoning
Input price
Output price
Serving providers0
Canonical IDmicrosoft/Phi-4-reasoning

GPT-5 Nano Capabilities

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

Internal Comparison Graph

Related Comparisons

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Primary Evidence

Sources and Freshness

Questions

Phi-4 Reasoning vs GPT-5 Nano FAQs

Is Phi-4 Reasoning or GPT-5 Nano better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Phi-4 Reasoning and GPT-5 Nano, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Phi-4 Reasoning or GPT-5 Nano?+

Only GPT-5 Nano has a directly sourced input price: $0.025 per million tokens. Only GPT-5 Nano has a directly sourced output price: $0.20 per million tokens.

Which has a larger context window, Phi-4 Reasoning or GPT-5 Nano?+

GPT-5 Nano has the larger sourced context window. Phi-4 Reasoning supports 33K and GPT-5 Nano supports 400K.

Which performs better in benchmarks, Phi-4 Reasoning or GPT-5 Nano?+

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

Can Phi-4 Reasoning or GPT-5 Nano be self-hosted?+

Phi-4 Reasoning is the only model in this pair currently marked as self-hostable. Phi-4 Reasoning is open weight; GPT-5 Nano is not marked open weight.

Can Phi-4 Reasoning and GPT-5 Nano understand images?+

Phi-4 Reasoning is not documented with image input; GPT-5 Nano is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Phi-4 Reasoning or GPT-5 Nano?+

Neither has a larger sourced maximum output. Phi-4 Reasoning is — and GPT-5 Nano is 128K.

Do Phi-4 Reasoning and GPT-5 Nano support reasoning and tool use?+

Phi-4 Reasoning: reasoning. GPT-5 Nano: reasoning, tool calling, and image input. Feature support does not establish relative quality.

Which is available from more inference providers, Phi-4 Reasoning or GPT-5 Nano?+

Phi-4 Reasoning has 0 sourced provider routes; GPT-5 Nano has 2, so GPT-5 Nano has broader tracked availability.

Which offers better value, Phi-4 Reasoning or GPT-5 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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