Granite 4.2 30B vs Ministral 8B Instruct 2410

At a Glance

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Pricing and Limits
Input priceFrom · USD / 1M tokens$0.16Deepinfra · Sep 23, 2026Not reported
Output priceFrom · USD / 1M tokens$0.65Deepinfra · Sep 23, 2026Not reported
Context windowMaximum documented tokens131K33K
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 30BMinistral-8B-Instruct-2410
DeveloperIBMMistral AI
FamilyGranite 4 2Ministral 8b Instruct 2410
ModelGranite 4.2 30BMinistral-8B-Instruct-2410
VersionGranite 4.2 30BMinistral-8B-Instruct-2410
Lifecycleactiveactive
Released2026-08-25Unknown
Knowledge cutoffUnknownUnknown
Input modalitiesTextText
Output modalitiesTextText
Context window131K33K
Total parameters29.3B8B
Active parametersUnknownUnknown
Licenseapache-2.0other
Open weightsYesYes
API availableYesUnknown
Self-hostableYesYes
Provider accessDeepinfra (Standard)Unknown
Capabilitieschat, generation, reasoning, structured_outputs, toolschat, generation, tools

Granite 4.2 30B Capabilities

chatgenerationreasoningstructured outputstools
Serving providers1
Canonical IDibm-granite/granite-4.2-30b

Ministral 8B Instruct 2410 Capabilities

chatgenerationtools
Serving providers0
Canonical IDmistralai/Ministral-8B-Instruct-2410

Primary Evidence

Sources and Freshness

Questions

Granite 4.2 30B vs Ministral 8B Instruct 2410 FAQs

Is Granite 4.2 30B or Ministral 8B Instruct 2410 better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Granite 4.2 30B and Ministral 8B Instruct 2410, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Granite 4.2 30B or Ministral 8B Instruct 2410?+

Only Granite 4.2 30B has a directly sourced input price: $0.16 per million tokens. Only Granite 4.2 30B has a directly sourced output price: $0.65 per million tokens.

Which has a larger context window, Granite 4.2 30B or Ministral 8B Instruct 2410?+

Granite 4.2 30B has the larger sourced context window. Granite 4.2 30B supports 131K and Ministral 8B Instruct 2410 supports 33K.

Which performs better in benchmarks, Granite 4.2 30B or Ministral 8B Instruct 2410?+

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 Ministral 8B Instruct 2410 be self-hosted?+

Both models have the same recorded self-hosting status: supported. Granite 4.2 30B is open weight; Ministral 8B Instruct 2410 is open weight.

Can Granite 4.2 30B and Ministral 8B Instruct 2410 understand images?+

Granite 4.2 30B is not documented with image input; Ministral 8B Instruct 2410 is not documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Granite 4.2 30B or Ministral 8B Instruct 2410?+

Neither has a larger sourced maximum output. Granite 4.2 30B is — and Ministral 8B Instruct 2410 is —.

Do Granite 4.2 30B and Ministral 8B Instruct 2410 support reasoning and tool use?+

Granite 4.2 30B: reasoning and tool calling. Ministral 8B Instruct 2410: tool calling. Feature support does not establish relative quality.

Which is available from more inference providers, Granite 4.2 30B or Ministral 8B Instruct 2410?+

Granite 4.2 30B has 1 sourced provider route; Ministral 8B Instruct 2410 has 0, so Granite 4.2 30B has broader tracked availability.

Which offers better value, Granite 4.2 30B or Ministral 8B Instruct 2410?+

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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