Olmo 3 32B Think vs Phi-4 Reasoning

At a Glance

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Intelligence, Cost, and Efficiency
IntelligenceHigher is better · MM Intelligence v4.4#43 of 570.0 score · 1/3 sources · single-source provisional · missing LiveBench, ARC-AGI-2 · full-core range 0.0–66.7UnrankedNot in the 57-model eligible cohort
Pricing and Limits
Input priceFrom · USD / 1M tokens$0.15Openrouter ↗ · Aug 28, 2026Not reported
Output priceFrom · USD / 1M tokens$0.50Openrouter ↗ · Aug 28, 2026Not reported
Context windowMaximum documented tokens66K33K
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 →
No Protocol-Matched Benchmark Yet.Results appear here only when both models share the same benchmark version, metric, evaluation protocol, and evidence class.

Side-by-Side Facts

FieldOlmo-3-32B-ThinkPhi-4-reasoning
DeveloperAi2Microsoft
FamilyOlmo 3 32b ThinkPhi 4 Reasoning
ModelOlmo-3-32B-ThinkPhi-4-reasoning
VersionOlmo-3-32B-ThinkPhi-4-reasoning
Lifecycleactiveactive
ReleasedUnknown2025-04-30
Knowledge cutoffUnknownUnknown
Input modalitiesTextText
Output modalitiesTextText
Context window66K33K
Total parameters32.2B14.7B
Active parametersUnknownUnknown
Licenseapache-2.0mit
Open weightsYesYes
API availableYesUnknown
Self-hostableYesYes
Provider accessOpenrouter (Standard)Unknown
Capabilitieschat, generation, reasoningchat, generation, reasoning

Olmo 3 32B Think Capabilities

chatgenerationreasoning
Serving providers1
Canonical IDallenai/Olmo-3-32B-Think

Phi-4 Reasoning Capabilities

chatgenerationreasoning
Serving providers0
Canonical IDmicrosoft/Phi-4-reasoning

Primary Evidence

Sources and Freshness

Questions

Olmo 3 32B Think vs Phi-4 Reasoning FAQs

Is Olmo 3 32B Think or Phi-4 Reasoning better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Olmo 3 32B Think and Phi-4 Reasoning, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Olmo 3 32B Think or Phi-4 Reasoning?+

Only Olmo 3 32B Think has a directly sourced input price: $0.15 per million tokens. Only Olmo 3 32B Think has a directly sourced output price: $0.50 per million tokens.

Which has a larger context window, Olmo 3 32B Think or Phi-4 Reasoning?+

Olmo 3 32B Think has the larger sourced context window. Olmo 3 32B Think supports 65,536 tokens and Phi-4 Reasoning supports 32,768 tokens.

Which performs better in benchmarks, Olmo 3 32B Think or Phi-4 Reasoning?+

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

Can Olmo 3 32B Think or Phi-4 Reasoning be self-hosted?+

Both models have the same sourced self-hosting status: supported. Olmo 3 32B Think is open weight; Phi-4 Reasoning is open weight.

Can Olmo 3 32B Think and Phi-4 Reasoning understand images?+

Olmo 3 32B Think is not documented with image input; Phi-4 Reasoning is not documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Olmo 3 32B Think or Phi-4 Reasoning?+

Olmo 3 32B Think has a sourced maximum output of 32,768 tokens; Phi-4 Reasoning's maximum output is not reported. A larger limit cannot be determined.

Do Olmo 3 32B Think and Phi-4 Reasoning support reasoning and tool use?+

Olmo 3 32B Think: reasoning. Phi-4 Reasoning: reasoning. Feature support does not establish relative quality.

Which is available from more inference providers, Olmo 3 32B Think or Phi-4 Reasoning?+

Olmo 3 32B Think has 1 sourced provider route; Phi-4 Reasoning has 0, so Olmo 3 32B Think has broader tracked availability.

Which offers better value, Olmo 3 32B Think or Phi-4 Reasoning?+

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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