DeepSeek V4 Flash vs Kimi K2.6

At a Glance

Compare
Kimi K2.6Moonshot AI
Intelligence, Cost, and Efficiency
IntelligenceHigher is better · MM Intelligence v2.5UnrankedNot in the 46-model eligible cohort#32 of 4650.5 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 33.6–67.0
CostLower is better · Published-token output estimateUnrankedNot in the 44-model eligible cohort#21 of 44$0.095 per LiveBench case
EfficiencyHigher is better · MM Efficiency v1.5UnrankedNot in the 38-model eligible cohort#24 of 3850.1 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 41.7–58.4
Pricing and Limits
Input priceFrom · USD / 1M tokens$0.0868Openrouter · Aug 28, 2026$0.75Deepinfra · Sep 23, 2026
Output priceFrom · USD / 1M tokens$0.1736Openrouter · Aug 28, 2026$3.50Deepinfra · Sep 23, 2026
Context windowMaximum documented tokens1,049K262K
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 →
BenchmarkDeepSeek-V4-FlashKimi-K2.6
LMArena Text Arenatext-2026-09-13-d25aabda0010 · arena_rating · leader1,431.7998% of row best · rating · deepseek-v4-flash; 95% CI [1427.66110387, 1435.91557810]; votes 48887; rank 831,454.92100% of row best · rating · kimi-k2.6; 95% CI [1450.40277919, 1459.43693683]; votes 37502; rank 38
LiveBench2026-06-25 · overall · leader69.6794% of row best · percent · deepseek-v4-flash · 34,434 output tokens / case74.18100% of row best · percent · kimi-k2.6-thinking · 27,001 output tokens / case
ToneBench2026-09-11-10-task-4ef099199c9c · overall_score · unverified78.0095% of row best · points · DeepSeek V4 Flash (xhigh) · 12,709 output tokens / case82.24100% of row best · points · Kimi K2.6 (thinking) · 18,080 output tokens / case
Overall ResultCounted from the protocol-matched rows above0 benchmark wins2 benchmark winsOverall lead

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

FieldDeepSeek-V4-FlashKimi-K2.6
DeveloperDeepSeekMoonshot AI
FamilyDeepseek V4 FlashKimi K2 6
ModelDeepSeek-V4-FlashKimi-K2.6
VersionDeepSeek-V4-FlashKimi-K2.6
Lifecycleretiredactive
Released2026-04-242026-04-20
Knowledge cutoffUnknownUnknown
Input modalitiesTextText, Image
Output modalitiesTextText
Context window1,049K262K
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)Deepinfra (Standard), Fireworks Ai (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard)
Capabilitieschat, generation, reasoningchat, generation, reasoning, tools

DeepSeek V4 Flash Capabilities

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

Kimi K2.6 Capabilities

chatgenerationreasoningtools
Serving providers5
Canonical IDmoonshotai/Kimi-K2.6

Primary Evidence

Sources and Freshness

Questions

DeepSeek V4 Flash vs Kimi K2.6 FAQs

Is DeepSeek V4 Flash or Kimi K2.6 better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both DeepSeek V4 Flash and Kimi K2.6, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, DeepSeek V4 Flash or Kimi K2.6?+

DeepSeek V4 Flash is $0.0868 and Kimi K2.6 is $0.75 per million tokens, so DeepSeek V4 Flash is cheaper on this metric. DeepSeek V4 Flash is $0.1736 and Kimi K2.6 is $3.50 per million tokens, so DeepSeek V4 Flash is cheaper on this metric.

Which has a larger context window, DeepSeek V4 Flash or Kimi K2.6?+

DeepSeek V4 Flash has the larger sourced context window. DeepSeek V4 Flash supports 1,049K and Kimi K2.6 supports 262K.

Which performs better in benchmarks, DeepSeek V4 Flash or Kimi K2.6?+

Kimi K2.6 leads the current overall benchmark count. The result uses 2 protocol-matched benchmarks from 2 publishers; it is not a universal quality score.

Can DeepSeek V4 Flash or Kimi K2.6 be self-hosted?+

Both models have the same recorded self-hosting status: supported. DeepSeek V4 Flash is open weight; Kimi K2.6 is open weight.

Can DeepSeek V4 Flash and Kimi K2.6 understand images?+

DeepSeek V4 Flash is not documented with image input; Kimi K2.6 is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, DeepSeek V4 Flash or Kimi K2.6?+

Neither has a larger sourced maximum output. DeepSeek V4 Flash is — and Kimi K2.6 is —.

Do DeepSeek V4 Flash and Kimi K2.6 support reasoning and tool use?+

DeepSeek V4 Flash: reasoning. Kimi K2.6: reasoning, tool calling, and image input. Feature support does not establish relative quality.

Which is available from more inference providers, DeepSeek V4 Flash or Kimi K2.6?+

DeepSeek V4 Flash has 5 sourced provider routes; Kimi K2.6 has 5, a tie.

Which offers better value, DeepSeek V4 Flash or Kimi K2.6?+

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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