Ministral 3 3B Base 2512 vs gpt-oss-120b

At a Glance

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Pricing and Limits
Input priceFrom · USD / 1M tokensNot reported$0.037Deepinfra · Sep 22, 2026
Output priceFrom · USD / 1M tokensNot reported$0.17Deepinfra · Sep 22, 2026
Context windowMaximum documented tokens262K131K
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

FieldMinistral-3-3B-Base-2512gpt-oss-120b
DeveloperMistral AIOpenAI
FamilyMinistral 3 3b Base 2512Gpt Oss 120b
ModelMinistral-3-3B-Base-2512gpt-oss-120b
VersionMinistral-3-3B-Base-2512gpt-oss-120b
Lifecycleactiveactive
ReleasedUnknownUnknown
Knowledge cutoffUnknownUnknown
Input modalitiesText, ImageText
Output modalitiesTextText
Context window262K131K
Total parameters4.3B116.8B
Active parametersUnknown5.1B
Licenseapache-2.0apache-2.0
Open weightsYesYes
API availableUnknownYes
Self-hostableYesYes
Provider accessUnknownCerebras (Standard), Deepinfra (Standard), Fireworks Ai (Serverless, Standard), Groq (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Serverless, Standard)
Capabilitiesgenerationchat, generation, reasoning, tools

Ministral 3 3B Base 2512 Capabilities

generation
Serving providers0
Canonical IDmistralai/Ministral-3-3B-Base-2512

gpt-oss-120b Capabilities

chatgenerationreasoningtools
Serving providers7
Canonical IDopenai/gpt-oss-120b

Primary Evidence

Sources and Freshness

Questions

Ministral 3 3B Base 2512 vs gpt-oss-120b FAQs

Is Ministral 3 3B Base 2512 or gpt-oss-120b better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Ministral 3 3B Base 2512 and gpt-oss-120b, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Ministral 3 3B Base 2512 or gpt-oss-120b?+

Only gpt-oss-120b has a directly sourced input price: $0.037 per million tokens. Only gpt-oss-120b has a directly sourced output price: $0.17 per million tokens.

Which has a larger context window, Ministral 3 3B Base 2512 or gpt-oss-120b?+

Ministral 3 3B Base 2512 has the larger sourced context window. Ministral 3 3B Base 2512 supports 262K and gpt-oss-120b supports 131K.

Which performs better in benchmarks, Ministral 3 3B Base 2512 or gpt-oss-120b?+

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

Can Ministral 3 3B Base 2512 or gpt-oss-120b be self-hosted?+

Both models have the same recorded self-hosting status: supported. Ministral 3 3B Base 2512 is open weight; gpt-oss-120b is open weight.

Can Ministral 3 3B Base 2512 and gpt-oss-120b understand images?+

Ministral 3 3B Base 2512 is documented with image input; gpt-oss-120b is not documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Ministral 3 3B Base 2512 or gpt-oss-120b?+

Neither has a larger sourced maximum output. Ministral 3 3B Base 2512 is — and gpt-oss-120b is —.

Do Ministral 3 3B Base 2512 and gpt-oss-120b support reasoning and tool use?+

Ministral 3 3B Base 2512: image input. gpt-oss-120b: reasoning and tool calling. Feature support does not establish relative quality.

Which is available from more inference providers, Ministral 3 3B Base 2512 or gpt-oss-120b?+

Ministral 3 3B Base 2512 has 0 sourced provider routes; gpt-oss-120b has 7, so gpt-oss-120b has broader tracked availability.

Which offers better value, Ministral 3 3B Base 2512 or gpt-oss-120b?+

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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