Granite 4.2 30B vs GPT-4o Mini

Benchmark Performance

Available Benchmarks

BenchmarkGranite 4.2 30BGPT-4o Mini
LMArena Text Arenatext-2026-09-01-011508720696 · arena_rating · leader1,362.55100% of row best · rating · granite-4.2-30b; 95% CI [1351.93384890, 1373.17607017]; votes 3287; rank 1771,286.2294% of row best · rating · gpt-4o-mini-2024-07-18; 95% CI [1282.70478675, 1289.73790661]; votes 68698; rank 245
Overall ResultCounted from the protocol-matched rows above1 benchmark winOverall lead0 benchmark wins

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
IBM · activeGranite 4.2 30BVerified Sep 2, 2026
OpenAI · activeGPT-4o MiniVerified Aug 29, 2026

Technical Differences

Side-by-Side Facts

Indexable
FieldGranite 4.2 30BGPT-4o Mini
DeveloperIBMOpenAI
FamilyGranite 4 2Gpt 4o
ModelGranite 4.2 30BGPT-4o Mini
VersionGranite 4.2 30BGPT-4o Mini
Lifecycleactiveactive
Released2026-08-25Unknown
Knowledge cutoffUnknown2023-10-01
Input modalitiesTextText, Image
Output modalitiesTextText
Context window131K128K
Total parameters29.3BUnknown
Active parametersUnknownUnknown
Licenseapache-2.0Unknown
Open weightsYesNo
API availableYesYes
Self-hostableYesNo
Provider accessDeepinfra (Standard)Openai (Standard), Openrouter (Standard)
Capabilitieschat, generation, reasoning, structured_outputs, toolschat, generation, tools

13 comparable fields · 10 material differences · Pair passes the primary-source comparison gate

Granite 4.2 30B Capabilities

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

GPT-4o Mini Capabilities

chatgenerationtools
Input price$0.075
Output price$0.30
Serving providers2
Canonical IDopenai/gpt-4o-mini

Internal Comparison Graph

Related Comparisons

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Primary Evidence

Sources and Freshness

Questions

Granite 4.2 30B vs GPT-4o Mini FAQs

Is Granite 4.2 30B or GPT-4o Mini better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Granite 4.2 30B and GPT-4o Mini, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Granite 4.2 30B or GPT-4o Mini?+

Granite 4.2 30B is $0.16 and GPT-4o Mini is $0.075 per million tokens, so GPT-4o Mini is cheaper on this metric. Granite 4.2 30B is $0.65 and GPT-4o Mini is $0.30 per million tokens, so GPT-4o Mini is cheaper on this metric.

Which has a larger context window, Granite 4.2 30B or GPT-4o Mini?+

Granite 4.2 30B has the larger sourced context window. Granite 4.2 30B supports 131K and GPT-4o Mini supports 128K.

Which performs better in benchmarks, Granite 4.2 30B or GPT-4o Mini?+

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

Can Granite 4.2 30B or GPT-4o Mini be self-hosted?+

Granite 4.2 30B is the only model in this pair currently marked as self-hostable. Granite 4.2 30B is open weight; GPT-4o Mini is not marked open weight.

Can Granite 4.2 30B and GPT-4o Mini understand images?+

Granite 4.2 30B is not documented with image input; GPT-4o Mini is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Granite 4.2 30B or GPT-4o Mini?+

Neither has a larger sourced maximum output. Granite 4.2 30B is — and GPT-4o Mini is 16K.

Do Granite 4.2 30B and GPT-4o Mini support reasoning and tool use?+

Granite 4.2 30B: reasoning and tool calling. GPT-4o Mini: tool calling and image input. Feature support does not establish relative quality.

Which is available from more inference providers, Granite 4.2 30B or GPT-4o Mini?+

Granite 4.2 30B has 1 sourced provider route; GPT-4o Mini has 2, so GPT-4o Mini has broader tracked availability.

Which offers better value, Granite 4.2 30B or GPT-4o Mini?+

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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