phi-4 vs Kimi K2 Instruct

At a Glance

Compare
phi-4Microsoft
Kimi K2 InstructMoonshot AI
Pricing and Limits
Input priceFrom · USD / 1M tokens$0.070Deepinfra · Sep 21, 2026$0.57Openrouter · Aug 29, 2026
Output priceFrom · USD / 1M tokens$0.14Deepinfra · Sep 21, 2026$2.30Openrouter · Aug 29, 2026
Context windowMaximum documented tokens16K131K
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 →
Benchmarkphi-4Kimi-K2-Instruct
Berkeley Function Calling Leaderboardv4-ede5081a24bc · overall_accuracy · leader28.7949% of row best · percent · Phi-4 (Prompt)59.06100% of row best · percent · Moonshotai-Kimi-K2-Instruct (FC)
Overall ResultCounted from the protocol-matched rows above0 benchmark winsNo overall winner1 benchmark winNo overall winner

Third-party benchmark Only like-for-like primary-publisher results are shown; raw scores, relative scores, configuration, and token spend remain visible.

Side-by-Side Facts

Fieldphi-4Kimi-K2-Instruct
DeveloperMicrosoftMoonshot AI
FamilyPhi 4Kimi K2 Instruct
Modelphi-4Kimi-K2-Instruct
Versionphi-4Kimi-K2-Instruct
Lifecycleactiveactive
Released2024-12-122025-07-11
Knowledge cutoffUnknownUnknown
Input modalitiesTextText
Output modalitiesTextText
Context window16K131K
Total parameters14.7B1T
Active parametersUnknown32B
Licensemitother
Open weightsYesYes
API availableYesYes
Self-hostableYesYes
Provider accessDeepinfra (Standard), Hugging Face (Standard), Openrouter (Standard)Hugging Face (Standard), Openrouter (Standard)
Capabilitieschat, generationchat, generation, tools

phi-4 Capabilities

chatgeneration
Serving providers3
Canonical IDmicrosoft/phi-4

Kimi K2 Instruct Capabilities

chatgenerationtools
Serving providers2
Canonical IDmoonshotai/Kimi-K2-Instruct

Primary Evidence

Sources and Freshness

Questions

phi-4 vs Kimi K2 Instruct FAQs

Is phi-4 or Kimi K2 Instruct better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both phi-4 and Kimi K2 Instruct, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, phi-4 or Kimi K2 Instruct?+

phi-4 is $0.070 and Kimi K2 Instruct is $0.57 per million tokens, so phi-4 is cheaper on this metric. phi-4 is $0.14 and Kimi K2 Instruct is $2.30 per million tokens, so phi-4 is cheaper on this metric.

Which has a larger context window, phi-4 or Kimi K2 Instruct?+

Kimi K2 Instruct has the larger sourced context window. phi-4 supports 16K and Kimi K2 Instruct supports 131K.

Which performs better in benchmarks, phi-4 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 phi-4 or Kimi K2 Instruct be self-hosted?+

Both models have the same recorded self-hosting status: supported. phi-4 is open weight; Kimi K2 Instruct is open weight.

Can phi-4 and Kimi K2 Instruct understand images?+

phi-4 is not 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, phi-4 or Kimi K2 Instruct?+

Neither has a larger sourced maximum output. phi-4 is — and Kimi K2 Instruct is —.

Do phi-4 and Kimi K2 Instruct support reasoning and tool use?+

phi-4: none of these features are definitively sourced. Kimi K2 Instruct: tool calling. Feature support does not establish relative quality.

Which is available from more inference providers, phi-4 or Kimi K2 Instruct?+

phi-4 has 3 sourced provider routes; Kimi K2 Instruct has 2, so phi-4 has broader tracked availability.

Which offers better value, phi-4 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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