DeepSeek R1 vs Kimi K2 Instruct

At a Glance

Compare
DeepSeek R1DeepSeek
Kimi K2 InstructMoonshot AI
Pricing and Limits
Input priceFrom · USD / 1M tokens$0.70Openrouter · Aug 28, 2026$0.57Openrouter · Aug 29, 2026
Output priceFrom · USD / 1M tokens$2.50Openrouter · Aug 28, 2026$2.30Openrouter · Aug 29, 2026
Context windowMaximum documented tokens164K131K
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-R1Kimi-K2-Instruct
DeveloperDeepSeekMoonshot AI
FamilyDeepseek R1Kimi K2 Instruct
ModelDeepSeek-R1Kimi-K2-Instruct
VersionDeepSeek-R1Kimi-K2-Instruct
Lifecycleactiveactive
Released2025-01-202025-07-11
Knowledge cutoffUnknownUnknown
Input modalitiesTextText
Output modalitiesTextText
Context window164K131K
Total parameters684.5B1T
Active parameters37B32B
Licensemitother
Open weightsYesYes
API availableYesYes
Self-hostableYesYes
Provider accessHugging Face (Standard), Openrouter (Standard)Hugging Face (Standard), Openrouter (Standard)
Capabilitieschat, generation, reasoningchat, generation, tools

DeepSeek R1 Capabilities

chatgenerationreasoning
Serving providers2
Canonical IDdeepseek-ai/DeepSeek-R1

Kimi K2 Instruct Capabilities

chatgenerationtools
Serving providers2
Canonical IDmoonshotai/Kimi-K2-Instruct

Primary Evidence

Sources and Freshness

Questions

DeepSeek R1 vs Kimi K2 Instruct FAQs

Is DeepSeek R1 or Kimi K2 Instruct better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both DeepSeek R1 and Kimi K2 Instruct, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, DeepSeek R1 or Kimi K2 Instruct?+

DeepSeek R1 is $0.70 and Kimi K2 Instruct is $0.57 per million tokens, so Kimi K2 Instruct is cheaper on this metric. DeepSeek R1 is $2.50 and Kimi K2 Instruct is $2.30 per million tokens, so Kimi K2 Instruct is cheaper on this metric.

Which has a larger context window, DeepSeek R1 or Kimi K2 Instruct?+

DeepSeek R1 has the larger sourced context window. DeepSeek R1 supports 164K and Kimi K2 Instruct supports 131K.

Which performs better in benchmarks, DeepSeek R1 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 R1 or Kimi K2 Instruct be self-hosted?+

Both models have the same recorded self-hosting status: supported. DeepSeek R1 is open weight; Kimi K2 Instruct is open weight.

Can DeepSeek R1 and Kimi K2 Instruct understand images?+

DeepSeek R1 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 R1 or Kimi K2 Instruct?+

Neither has a larger sourced maximum output. DeepSeek R1 is 33K and Kimi K2 Instruct is —.

Do DeepSeek R1 and Kimi K2 Instruct support reasoning and tool use?+

DeepSeek R1: reasoning. Kimi K2 Instruct: tool calling. Feature support does not establish relative quality.

Which is available from more inference providers, DeepSeek R1 or Kimi K2 Instruct?+

DeepSeek R1 has 2 sourced provider routes; Kimi K2 Instruct has 2, a tie.

Which offers better value, DeepSeek R1 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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