Ministral 3 3B Base 2512 vs Kimi K2 Instruct

At a Glance

Compare
Kimi K2 InstructMoonshot AI
Pricing and Limits
Input priceFrom · USD / 1M tokensNot reported$0.57Openrouter · Aug 29, 2026
Output priceFrom · USD / 1M tokensNot reported$2.30Openrouter · Aug 29, 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-2512Kimi-K2-Instruct
DeveloperMistral AIMoonshot AI
FamilyMinistral 3 3b Base 2512Kimi K2 Instruct
ModelMinistral-3-3B-Base-2512Kimi-K2-Instruct
VersionMinistral-3-3B-Base-2512Kimi-K2-Instruct
Lifecycleactiveactive
ReleasedUnknown2025-07-11
Knowledge cutoffUnknownUnknown
Input modalitiesText, ImageText
Output modalitiesTextText
Context window262K131K
Total parameters4.3B1T
Active parametersUnknown32B
Licenseapache-2.0other
Open weightsYesYes
API availableUnknownYes
Self-hostableYesYes
Provider accessUnknownHugging Face (Standard), Openrouter (Standard)
Capabilitiesgenerationchat, generation, tools

Ministral 3 3B Base 2512 Capabilities

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

Kimi K2 Instruct Capabilities

chatgenerationtools
Serving providers2
Canonical IDmoonshotai/Kimi-K2-Instruct

Primary Evidence

Sources and Freshness

Questions

Ministral 3 3B Base 2512 vs Kimi K2 Instruct FAQs

Is Ministral 3 3B Base 2512 or Kimi K2 Instruct better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Ministral 3 3B Base 2512 and Kimi K2 Instruct, 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 Kimi K2 Instruct?+

Only Kimi K2 Instruct has a directly sourced input price: $0.57 per million tokens. Only Kimi K2 Instruct has a directly sourced output price: $2.30 per million tokens.

Which has a larger context window, Ministral 3 3B Base 2512 or Kimi K2 Instruct?+

Ministral 3 3B Base 2512 has the larger sourced context window. Ministral 3 3B Base 2512 supports 262K and Kimi K2 Instruct supports 131K.

Which performs better in benchmarks, Ministral 3 3B Base 2512 or Kimi K2 Instruct?+

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 Kimi K2 Instruct be self-hosted?+

Both models have the same recorded self-hosting status: supported. Ministral 3 3B Base 2512 is open weight; Kimi K2 Instruct is open weight.

Can Ministral 3 3B Base 2512 and Kimi K2 Instruct understand images?+

Ministral 3 3B Base 2512 is documented with image input; Kimi K2 Instruct 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 Kimi K2 Instruct?+

Neither has a larger sourced maximum output. Ministral 3 3B Base 2512 is — and Kimi K2 Instruct is —.

Do Ministral 3 3B Base 2512 and Kimi K2 Instruct support reasoning and tool use?+

Ministral 3 3B Base 2512: image input. Kimi K2 Instruct: tool calling. Feature support does not establish relative quality.

Which is available from more inference providers, Ministral 3 3B Base 2512 or Kimi K2 Instruct?+

Ministral 3 3B Base 2512 has 0 sourced provider routes; Kimi K2 Instruct has 2, so Kimi K2 Instruct has broader tracked availability.

Which offers better value, Ministral 3 3B Base 2512 or Kimi K2 Instruct?+

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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