Granite 4.2 8B vs Phi-4 Mini Reasoning

At a Glance

Compare
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$0.060Deepinfra ↗ · Oct 19, 2026Not reported
Output priceFrom · USD / 1M tokens$0.25Deepinfra ↗ · Oct 19, 2026Not reported
Context windowMaximum documented tokens131K131K
Model facts checkedSep 2, 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

FieldGranite 4.2 8BPhi-4-mini-reasoning
DeveloperIBMMicrosoft
FamilyGranite 4 2Phi 4 Mini Reasoning
ModelGranite 4.2 8BPhi-4-mini-reasoning
VersionGranite 4.2 8BPhi-4-mini-reasoning
Lifecycleactiveactive
Released2026-08-252025-04-30
Knowledge cutoffUnknownUnknown
Input modalitiesTextText
Output modalitiesTextText
Context window131K131K
Total parameters8.8B3.8B
Active parametersUnknownUnknown
Licenseapache-2.0mit
Open weightsYesYes
API availableYesUnknown
Self-hostableYesYes
Provider accessDeepinfra (Standard), Openrouter (Standard)Unknown
Capabilitieschat, generation, reasoning, structured_outputs, toolschat, generation, reasoning

Granite 4.2 8B Capabilities

chatgenerationreasoningstructured outputstools
Serving providers2
Canonical IDibm-granite/granite-4.2-8b

Phi-4 Mini Reasoning Capabilities

chatgenerationreasoning
Serving providers0
Canonical IDmicrosoft/Phi-4-mini-reasoning

Primary Evidence

Sources and Freshness

Questions

Granite 4.2 8B vs Phi-4 Mini Reasoning FAQs

Is Granite 4.2 8B or Phi-4 Mini Reasoning better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Granite 4.2 8B and Phi-4 Mini Reasoning, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Granite 4.2 8B or Phi-4 Mini Reasoning?+

Only Granite 4.2 8B has a directly sourced input price: $0.060 per million tokens. Only Granite 4.2 8B has a directly sourced output price: $0.25 per million tokens.

Which has a larger context window, Granite 4.2 8B or Phi-4 Mini Reasoning?+

Both models have the same sourced context window: 131,072 tokens each.

Which performs better in benchmarks, Granite 4.2 8B or Phi-4 Mini Reasoning?+

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

Can Granite 4.2 8B or Phi-4 Mini Reasoning be self-hosted?+

Both models have the same sourced self-hosting status: supported. Granite 4.2 8B is open weight; Phi-4 Mini Reasoning is open weight.

Can Granite 4.2 8B and Phi-4 Mini Reasoning understand images?+

Granite 4.2 8B is not documented with image input; Phi-4 Mini Reasoning is not documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Granite 4.2 8B or Phi-4 Mini Reasoning?+

Neither model has a sourced maximum output in this comparison, so a larger limit cannot be determined.

Do Granite 4.2 8B and Phi-4 Mini Reasoning support reasoning and tool use?+

Granite 4.2 8B: reasoning and tool calling. Phi-4 Mini Reasoning: reasoning. Feature support does not establish relative quality.

Which is available from more inference providers, Granite 4.2 8B or Phi-4 Mini Reasoning?+

Granite 4.2 8B has 2 sourced provider routes; Phi-4 Mini Reasoning has 0, so Granite 4.2 8B has broader tracked availability.

Which offers better value, Granite 4.2 8B or Phi-4 Mini 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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