DeepSeek V4 Flash vs Kimi K2 Instruct

At a Glance

Compare
Kimi K2 InstructMoonshot AI
Pricing and Limits
Input priceFrom · USD / 1M tokens$0.0868Openrouter · Aug 28, 2026$0.57Openrouter · Aug 29, 2026
Output priceFrom · USD / 1M tokens$0.1736Openrouter · Aug 28, 2026$2.30Openrouter · Aug 29, 2026
Context windowMaximum documented tokens1,049K131K
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

FieldDeepSeek-V4-FlashKimi-K2-Instruct
DeveloperDeepSeekMoonshot AI
FamilyDeepseek V4 FlashKimi K2 Instruct
ModelDeepSeek-V4-FlashKimi-K2-Instruct
VersionDeepSeek-V4-FlashKimi-K2-Instruct
Lifecycleretiredactive
Released2026-04-242025-07-11
Knowledge cutoffUnknownUnknown
Input modalitiesTextText
Output modalitiesTextText
Context window1,049K131K
Total parameters290.9B1T
Active parameters13B32B
Licensemitother
Open weightsYesYes
API availableYesYes
Self-hostableYesYes
Provider accessDeepSeek (Standard), Deepinfra (Standard), Fireworks Ai (Standard), Hugging Face (Standard), Openrouter (Standard)Hugging Face (Standard), Openrouter (Standard)
Capabilitieschat, generation, reasoningchat, generation, tools

DeepSeek V4 Flash Capabilities

chatgenerationreasoning
Serving providers5
Canonical IDdeepseek-ai/DeepSeek-V4-Flash

Kimi K2 Instruct Capabilities

chatgenerationtools
Serving providers2
Canonical IDmoonshotai/Kimi-K2-Instruct

Primary Evidence

Sources and Freshness

Questions

DeepSeek V4 Flash vs Kimi K2 Instruct FAQs

Is DeepSeek V4 Flash or Kimi K2 Instruct better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both DeepSeek V4 Flash and Kimi K2 Instruct, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, DeepSeek V4 Flash or Kimi K2 Instruct?+

DeepSeek V4 Flash is $0.0868 and Kimi K2 Instruct is $0.57 per million tokens, so DeepSeek V4 Flash is cheaper on this metric. DeepSeek V4 Flash is $0.1736 and Kimi K2 Instruct is $2.30 per million tokens, so DeepSeek V4 Flash is cheaper on this metric.

Which has a larger context window, DeepSeek V4 Flash or Kimi K2 Instruct?+

DeepSeek V4 Flash has the larger sourced context window. DeepSeek V4 Flash supports 1,049K and Kimi K2 Instruct supports 131K.

Which performs better in benchmarks, DeepSeek V4 Flash 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 DeepSeek V4 Flash or Kimi K2 Instruct be self-hosted?+

Both models have the same recorded self-hosting status: supported. DeepSeek V4 Flash is open weight; Kimi K2 Instruct is open weight.

Can DeepSeek V4 Flash and Kimi K2 Instruct understand images?+

DeepSeek V4 Flash 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, DeepSeek V4 Flash or Kimi K2 Instruct?+

Neither has a larger sourced maximum output. DeepSeek V4 Flash is — and Kimi K2 Instruct is —.

Do DeepSeek V4 Flash and Kimi K2 Instruct support reasoning and tool use?+

DeepSeek V4 Flash: reasoning. Kimi K2 Instruct: tool calling. Feature support does not establish relative quality.

Which is available from more inference providers, DeepSeek V4 Flash or Kimi K2 Instruct?+

DeepSeek V4 Flash has 5 sourced provider routes; Kimi K2 Instruct has 2, so DeepSeek V4 Flash has broader tracked availability.

Which offers better value, DeepSeek V4 Flash 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.

Send Feedback