Olmo 3.1 32B Instruct vs phi-4

At a Glance

Compare
phi-4Microsoft
Pricing and Limits
Input priceFrom · USD / 1M tokensNot reported$0.070Deepinfra · Sep 23, 2026
Output priceFrom · USD / 1M tokensNot reported$0.14Deepinfra · Sep 23, 2026
Context windowMaximum documented tokens66K16K
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 →
BenchmarkOlmo-3.1-32B-Instructphi-4
LMArena Text Arenatext-2026-09-13-d25aabda0010 · arena_rating · leader1,311.83100% of row best · rating · olmo-3.1-32b-instruct; 95% CI [1305.66595265, 1318.00150818]; votes 11452; rank 2271,216.6093% of row best · rating · phi-4; 95% CI [1212.02298793, 1221.18318193]; votes 24126; rank 300
Overall ResultCounted from the protocol-matched rows above1 benchmark winNo overall winner0 benchmark winsNo 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

FieldOlmo-3.1-32B-Instructphi-4
DeveloperAi2Microsoft
FamilyOlmo 3 1 32b InstructPhi 4
ModelOlmo-3.1-32B-Instructphi-4
VersionOlmo-3.1-32B-Instructphi-4
Lifecycleactiveactive
ReleasedUnknown2024-12-12
Knowledge cutoffUnknownUnknown
Input modalitiesTextText
Output modalitiesTextText
Context window66K16K
Total parameters32.2B14.7B
Active parametersUnknownUnknown
Licenseapache-2.0mit
Open weightsYesYes
API availableUnknownYes
Self-hostableYesYes
Provider accessUnknownDeepinfra (Standard), Hugging Face (Standard), Openrouter (Standard)
Capabilitieschat, generation, toolschat, generation

Olmo 3.1 32B Instruct Capabilities

chatgenerationtools
Serving providers0
Canonical IDallenai/Olmo-3.1-32B-Instruct

phi-4 Capabilities

chatgeneration
Serving providers3
Canonical IDmicrosoft/phi-4

Primary Evidence

Sources and Freshness

Questions

Olmo 3.1 32B Instruct vs phi-4 FAQs

Is Olmo 3.1 32B Instruct or phi-4 better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Olmo 3.1 32B Instruct and phi-4, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Olmo 3.1 32B Instruct or phi-4?+

Only phi-4 has a directly sourced input price: $0.070 per million tokens. Only phi-4 has a directly sourced output price: $0.14 per million tokens.

Which has a larger context window, Olmo 3.1 32B Instruct or phi-4?+

Olmo 3.1 32B Instruct has the larger sourced context window. Olmo 3.1 32B Instruct supports 66K and phi-4 supports 16K.

Which performs better in benchmarks, Olmo 3.1 32B Instruct or phi-4?+

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

Can Olmo 3.1 32B Instruct or phi-4 be self-hosted?+

Both models have the same recorded self-hosting status: supported. Olmo 3.1 32B Instruct is open weight; phi-4 is open weight.

Can Olmo 3.1 32B Instruct and phi-4 understand images?+

Olmo 3.1 32B Instruct is not documented with image input; phi-4 is not documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Olmo 3.1 32B Instruct or phi-4?+

Neither has a larger sourced maximum output. Olmo 3.1 32B Instruct is 33K and phi-4 is —.

Do Olmo 3.1 32B Instruct and phi-4 support reasoning and tool use?+

Olmo 3.1 32B Instruct: tool calling. phi-4: none of these features are definitively sourced. Feature support does not establish relative quality.

Which is available from more inference providers, Olmo 3.1 32B Instruct or phi-4?+

Olmo 3.1 32B Instruct has 0 sourced provider routes; phi-4 has 3, so phi-4 has broader tracked availability.

Which offers better value, Olmo 3.1 32B Instruct or phi-4?+

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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