Olmo 3 32B Think vs Granite 4.2 30B

Benchmark Performance

Available Benchmarks

BenchmarkOlmo-3-32B-ThinkGranite 4.2 30B
LMArena Text Arenatext-2026-09-01-011508720696 · arena_rating · leader1,299.5695% of row best · rating · olmo-3-32b-think; 95% CI [1291.25214421, 1307.87126458]; votes 5682; rank 2301,362.55100% of row best · rating · granite-4.2-30b; 95% CI [1351.93384890, 1373.17607017]; votes 3287; rank 177
Overall ResultCounted from the protocol-matched rows above0 benchmark wins1 benchmark winOverall lead

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

FieldAt a Glance
Ai2 · activeOlmo 3 32B ThinkVerified Aug 28, 2026
IBM · activeGranite 4.2 30BVerified Sep 2, 2026

Technical Differences

Side-by-Side Facts

Indexable
FieldOlmo-3-32B-ThinkGranite 4.2 30B
DeveloperAi2IBM
FamilyOlmo 3 32b ThinkGranite 4 2
ModelOlmo-3-32B-ThinkGranite 4.2 30B
VersionOlmo-3-32B-ThinkGranite 4.2 30B
Lifecycleactiveactive
ReleasedUnknown2026-08-25
Knowledge cutoffUnknownUnknown
Input modalitiesTextText
Output modalitiesTextText
Context window66K131K
Total parameters32.2B29.3B
Active parametersUnknownUnknown
Licenseapache-2.0apache-2.0
Open weightsYesYes
API availableYesYes
Self-hostableYesYes
Provider accessOpenrouter (Standard)Deepinfra (Standard)
Capabilitieschat, generation, reasoningchat, generation, reasoning, structured_outputs, tools

15 comparable fields · 8 material differences · Pair passes the primary-source comparison gate

Olmo 3 32B Think Capabilities

chatgenerationreasoning
Input price$0.15
Output price$0.50
Serving providers1
Canonical IDallenai/Olmo-3-32B-Think

Granite 4.2 30B Capabilities

chatgenerationreasoningstructured outputstools
Input price$0.16
Output price$0.65
Serving providers1
Canonical IDibm-granite/granite-4.2-30b

Internal Comparison Graph

Related Comparisons

All text comparisons →
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Primary Evidence

Sources and Freshness

Questions

Olmo 3 32B Think vs Granite 4.2 30B FAQs

Is Olmo 3 32B Think or Granite 4.2 30B better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Olmo 3 32B Think and Granite 4.2 30B, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Olmo 3 32B Think or Granite 4.2 30B?+

Olmo 3 32B Think is $0.15 and Granite 4.2 30B is $0.16 per million tokens, so Olmo 3 32B Think is cheaper on this metric. Olmo 3 32B Think is $0.50 and Granite 4.2 30B is $0.65 per million tokens, so Olmo 3 32B Think is cheaper on this metric.

Which has a larger context window, Olmo 3 32B Think or Granite 4.2 30B?+

Granite 4.2 30B has the larger sourced context window. Olmo 3 32B Think supports 66K and Granite 4.2 30B supports 131K.

Which performs better in benchmarks, Olmo 3 32B Think or Granite 4.2 30B?+

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 Granite 4.2 30B be self-hosted?+

Both models have the same recorded self-hosting status: supported. Olmo 3 32B Think is open weight; Granite 4.2 30B is open weight.

Can Olmo 3 32B Think and Granite 4.2 30B understand images?+

Olmo 3 32B Think is not documented with image input; Granite 4.2 30B is not documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Olmo 3 32B Think or Granite 4.2 30B?+

Neither has a larger sourced maximum output. Olmo 3 32B Think is 33K and Granite 4.2 30B is —.

Do Olmo 3 32B Think and Granite 4.2 30B support reasoning and tool use?+

Olmo 3 32B Think: reasoning. Granite 4.2 30B: reasoning and tool calling. Feature support does not establish relative quality.

Which is available from more inference providers, Olmo 3 32B Think or Granite 4.2 30B?+

Olmo 3 32B Think has 1 sourced provider route; Granite 4.2 30B has 1, a tie.

Which offers better value, Olmo 3 32B Think or Granite 4.2 30B?+

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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