Mistral Large 3 vs Kimi K2 Instruct

At a Glance

Compare
Mistral Large 3Mistral AI
Kimi K2 InstructMoonshot AI
Pricing and Limits
Input priceFrom · USD / 1M tokens$0.25Openrouter · Sep 22, 2026$0.57Openrouter · Aug 29, 2026
Output priceFrom · USD / 1M tokens$0.75Openrouter · Sep 22, 2026$2.30Openrouter · Aug 29, 2026
Context windowMaximum documented tokens262K131K
Model facts checkedAug 29, 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

FieldMistral Large 3Kimi-K2-Instruct
DeveloperMistral AIMoonshot AI
FamilyMistral Large 3Kimi K2 Instruct
ModelMistral Large 3Kimi-K2-Instruct
VersionMistral Large 3Kimi-K2-Instruct
Lifecycleactiveactive
Released2025-12-022025-07-11
Knowledge cutoffUnknownUnknown
Input modalitiesText, Image, DocumentText
Output modalitiesTextText
Context window262K131K
Total parameters675B1T
Active parameters41B32B
LicenseApache-2.0other
Open weightsYesYes
API availableYesYes
Self-hostableYesYes
Provider accessMistral AI (Standard), Openrouter (Standard)Hugging Face (Standard), Openrouter (Standard)
Capabilitiesagents, chat, generation, structured_outputs, tools, visionchat, generation, tools

Mistral Large 3 Capabilities

agentschatgenerationstructured outputstoolsvision
Serving providers2
Canonical IDmistralai/mistral-large-2512

Kimi K2 Instruct Capabilities

chatgenerationtools
Serving providers2
Canonical IDmoonshotai/Kimi-K2-Instruct

Primary Evidence

Sources and Freshness

Questions

Mistral Large 3 vs Kimi K2 Instruct FAQs

Is Mistral Large 3 or Kimi K2 Instruct better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Mistral Large 3 and Kimi K2 Instruct, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Mistral Large 3 or Kimi K2 Instruct?+

Mistral Large 3 is $0.25 and Kimi K2 Instruct is $0.57 per million tokens, so Mistral Large 3 is cheaper on this metric. Mistral Large 3 is $0.75 and Kimi K2 Instruct is $2.30 per million tokens, so Mistral Large 3 is cheaper on this metric.

Which has a larger context window, Mistral Large 3 or Kimi K2 Instruct?+

Mistral Large 3 has the larger sourced context window. Mistral Large 3 supports 262K and Kimi K2 Instruct supports 131K.

Which performs better in benchmarks, Mistral Large 3 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 Mistral Large 3 or Kimi K2 Instruct be self-hosted?+

Both models have the same recorded self-hosting status: supported. Mistral Large 3 is open weight; Kimi K2 Instruct is open weight.

Can Mistral Large 3 and Kimi K2 Instruct understand images?+

Mistral Large 3 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, Mistral Large 3 or Kimi K2 Instruct?+

Neither has a larger sourced maximum output. Mistral Large 3 is — and Kimi K2 Instruct is —.

Do Mistral Large 3 and Kimi K2 Instruct support reasoning and tool use?+

Mistral Large 3: tool calling and image input. Kimi K2 Instruct: tool calling. Feature support does not establish relative quality.

Which is available from more inference providers, Mistral Large 3 or Kimi K2 Instruct?+

Mistral Large 3 has 2 sourced provider routes; Kimi K2 Instruct has 2, a tie.

Which offers better value, Mistral Large 3 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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