phi-4 vs gpt-oss-20b

At a Glance

Compare
phi-4Microsoft
Pricing and Limits
Input priceFrom · USD / 1M tokens$0.070Deepinfra · Sep 23, 2026$0.018Openrouter · Sep 23, 2026
Output priceFrom · USD / 1M tokens$0.14Deepinfra · Sep 23, 2026$0.090Openrouter · 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-20b
LMArena Text Arenatext-2026-09-13-d25aabda0010 · arena_rating · leader1,216.6095% of row best · rating · phi-4; 95% CI [1212.02298793, 1221.18318193]; votes 24126; rank 3001,287.32100% of row best · rating · gpt-oss-20b; 95% CI [1280.92242279, 1293.71473349]; votes 10393; rank 246
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-20b
DeveloperMicrosoftOpenAI
FamilyPhi 4Gpt Oss
Modelphi-4gpt-oss-20b
Versionphi-4gpt-oss-20b
Lifecycleactiveactive
Released2024-12-12Unknown
Knowledge cutoffUnknownUnknown
Input modalitiesTextText
Output modalitiesTextText
Context window16K131K
Total parameters14.7B20.9B
Active parametersUnknown3.6B
Licensemitapache-2.0
Open weightsYesYes
API availableYesYes
Self-hostableYesYes
Provider accessDeepinfra (Standard), Hugging Face (Standard), Openrouter (Standard)Deepinfra (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-20b Capabilities

chatgenerationreasoningtools
Serving providers5
Canonical IDopenai/gpt-oss-20b

Primary Evidence

Sources and Freshness

Questions

phi-4 vs gpt-oss-20b FAQs

Is phi-4 or gpt-oss-20b better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both phi-4 and gpt-oss-20b, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, phi-4 or gpt-oss-20b?+

phi-4 is $0.070 and gpt-oss-20b is $0.018 per million tokens, so gpt-oss-20b is cheaper on this metric. phi-4 is $0.14 and gpt-oss-20b is $0.090 per million tokens, so gpt-oss-20b is cheaper on this metric.

Which has a larger context window, phi-4 or gpt-oss-20b?+

gpt-oss-20b has the larger sourced context window. phi-4 supports 16K and gpt-oss-20b supports 131K.

Which performs better in benchmarks, phi-4 or gpt-oss-20b?+

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-20b be self-hosted?+

Both models have the same recorded self-hosting status: supported. phi-4 is open weight; gpt-oss-20b is open weight.

Can phi-4 and gpt-oss-20b understand images?+

phi-4 is not documented with image input; gpt-oss-20b is not documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, phi-4 or gpt-oss-20b?+

Neither has a larger sourced maximum output. phi-4 is — and gpt-oss-20b is —.

Do phi-4 and gpt-oss-20b support reasoning and tool use?+

phi-4: none of these features are definitively sourced. gpt-oss-20b: reasoning and tool calling. Feature support does not establish relative quality.

Which is available from more inference providers, phi-4 or gpt-oss-20b?+

phi-4 has 3 sourced provider routes; gpt-oss-20b has 5, so gpt-oss-20b has broader tracked availability.

Which offers better value, phi-4 or gpt-oss-20b?+

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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