phi-4 vs gpt-oss-120b

At a Glance

Compare
phi-4Microsoft
Pricing and Limits
Input priceFrom · USD / 1M tokens$0.070Deepinfra · Sep 23, 2026$0.037Deepinfra · Sep 23, 2026
Output priceFrom · USD / 1M tokens$0.14Deepinfra · Sep 23, 2026$0.17Deepinfra · Sep 23, 2026
Context windowMaximum documented tokens16K131K
Model facts checkedAug 28, 2026View model evidence →Aug 28, 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 →
Benchmarkphi-4gpt-oss-120b
LMArena Text Arenatext-2026-09-13-d25aabda0010 · arena_rating · leader1,216.6089% of row best · rating · phi-4; 95% CI [1212.02298793, 1221.18318193]; votes 24126; rank 3001,365.87100% of row best · rating · gpt-oss-120b; 95% CI [1361.49487468, 1370.23719284]; votes 29955; rank 176
Overall ResultCounted from the protocol-matched rows above0 benchmark winsNo overall winner1 benchmark winNo overall winner

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

Side-by-Side Facts

Fieldphi-4gpt-oss-120b
DeveloperMicrosoftOpenAI
FamilyPhi 4Gpt Oss 120b
Modelphi-4gpt-oss-120b
Versionphi-4gpt-oss-120b
Lifecycleactiveactive
Released2024-12-12Unknown
Knowledge cutoffUnknownUnknown
Input modalitiesTextText
Output modalitiesTextText
Context window16K131K
Total parameters14.7B116.8B
Active parametersUnknown5.1B
Licensemitapache-2.0
Open weightsYesYes
API availableYesYes
Self-hostableYesYes
Provider accessDeepinfra (Standard), Hugging Face (Standard), Openrouter (Standard)Cerebras (Standard), Deepinfra (Standard), Fireworks Ai (Serverless, Standard), Groq (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Serverless, Standard)
Capabilitieschat, generationchat, generation, reasoning, tools

phi-4 Capabilities

chatgeneration
Serving providers3
Canonical IDmicrosoft/phi-4

gpt-oss-120b Capabilities

chatgenerationreasoningtools
Serving providers7
Canonical IDopenai/gpt-oss-120b

Primary Evidence

Sources and Freshness

Questions

phi-4 vs gpt-oss-120b FAQs

Is phi-4 or gpt-oss-120b better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both phi-4 and gpt-oss-120b, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, phi-4 or gpt-oss-120b?+

phi-4 is $0.070 and gpt-oss-120b is $0.037 per million tokens, so gpt-oss-120b is cheaper on this metric. phi-4 is $0.14 and gpt-oss-120b is $0.17 per million tokens, so phi-4 is cheaper on this metric.

Which has a larger context window, phi-4 or gpt-oss-120b?+

gpt-oss-120b has the larger sourced context window. phi-4 supports 16K and gpt-oss-120b supports 131K.

Which performs better in benchmarks, phi-4 or gpt-oss-120b?+

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

Can phi-4 or gpt-oss-120b be self-hosted?+

Both models have the same recorded self-hosting status: supported. phi-4 is open weight; gpt-oss-120b is open weight.

Can phi-4 and gpt-oss-120b understand images?+

phi-4 is not documented with image input; gpt-oss-120b is not documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, phi-4 or gpt-oss-120b?+

Neither has a larger sourced maximum output. phi-4 is — and gpt-oss-120b is —.

Do phi-4 and gpt-oss-120b support reasoning and tool use?+

phi-4: none of these features are definitively sourced. gpt-oss-120b: reasoning and tool calling. Feature support does not establish relative quality.

Which is available from more inference providers, phi-4 or gpt-oss-120b?+

phi-4 has 3 sourced provider routes; gpt-oss-120b has 7, so gpt-oss-120b has broader tracked availability.

Which offers better value, phi-4 or gpt-oss-120b?+

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.

Send Feedback