Gemini 3.5 Flash Lite vs Kimi K3

At a Glance

Compare
Gemini 3.5 Flash LiteGoogle DeepMind
Kimi K3Moonshot AI
Intelligence, Cost, and Efficiency
IntelligenceHigher is better · MM Intelligence v2.5#39 of 4617.6 score · 3/3 sources · complete#17 of 4670.3 score · 3/3 sources · complete
CostLower is better · Published-token output estimate#8 of 44$0.029 per LiveBench case#30 of 44$0.194 per LiveBench case
EfficiencyHigher is better · MM Efficiency v1.5#32 of 3846.2 score · 3/3 sources · complete#21 of 3852.5 score · 3/3 sources · complete
Pricing and Limits
Input priceFrom · USD / 1M tokens$0.30Google AI · Aug 29, 2026$2.85Deepinfra · Sep 22, 2026
Output priceFrom · USD / 1M tokens$2.50Google AI · Aug 29, 2026$14.25Deepinfra · Sep 22, 2026
Context windowMaximum documented tokens1,049K1,049K
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 →
BenchmarkGemini 3.5 Flash-LiteKimi-K3
ARC-AGI-1verified-v1-ba05d69f6453 · verified_score · leader53.5057% of row best · percent · Gemini 3.5 Flash-Lite (High)94.50100% of row best · percent · Kimi K3 (Max)
ARC-AGI-2verified-v2-6c676fa3e9af · verified_score · leader10.2817% of row best · percent · Gemini 3.5 Flash-Lite (High)60.42100% of row best · percent · Kimi K3 (Max)
LMArena Agent Arenaagent-2026-09-15-d25aabda0010 · outcome_score · leader-15.3580% of row best · score · Gemini 3.5 Flash Lite; 95% CI [-16.65525683, -14.04242266]; sessions 23248; observations 670178; rank 456.22100% of row best · score · Kimi K3 (Max); 95% CI [5.59393783, 6.84323085]; sessions 108615; observations 9086177; rank 8
LMArena Text Arenatext-2026-09-13-d25aabda0010 · arena_rating · leader1,435.5498% of row best · rating · gemini-3.5-flash-lite; 95% CI [1430.59505493, 1440.49024696]; votes 26165; rank 791,472.27100% of row best · rating · kimi-k3-max; 95% CI [1467.05577758, 1477.48944277]; votes 20987; rank 23
LiveBench2026-06-25 · overall · leader66.3582% of row best · percent · gemini-3.5-flash-lite-high · 11,526 output tokens / case81.02100% of row best · percent · kimi-k3 · 13,647 output tokens / case
ToneBench2026-09-11-10-task-4ef099199c9c · overall_score · unverified73.4283% of row best · points · Gemini 3.5 Flash-Lite · 1,966 output tokens / case88.19100% of row best · points · Kimi K3 · 15,023 output tokens / case
Overall ResultCounted from the protocol-matched rows above0 benchmark wins5 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

FieldGemini 3.5 Flash-LiteKimi-K3
DeveloperGoogle DeepMindMoonshot AI
FamilyGemini 3Kimi K3
ModelGemini 3.5 Flash-LiteKimi-K3
VersionGemini 3.5 Flash-LiteKimi-K3
Lifecycleactiveactive
ReleasedUnknown2026-07-16
Knowledge cutoffUnknownUnknown
Input modalitiesText, Image, Video, Audio, DocumentText, Image
Output modalitiesTextText
Context window1,049K1,049K
Total parametersUnknown2.8T
Active parametersUnknown104B
LicenseUnknownother
Open weightsNoYes
API availableYesYes
Self-hostableNoYes
Provider accessGoogle AI (Standard), Google Gemini (Standard)Deepinfra (Standard), Fireworks Ai (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard)
Capabilitieschat, generation, reasoning, toolschat, generation, reasoning

Gemini 3.5 Flash Lite Capabilities

chatgenerationreasoningtools
Serving providers2
Canonical IDgoogle-deepmind/gemini-3.5-flash-lite

Kimi K3 Capabilities

chatgenerationreasoning
Serving providers5
Canonical IDmoonshotai/Kimi-K3

Primary Evidence

Sources and Freshness

Questions

Gemini 3.5 Flash Lite vs Kimi K3 FAQs

Is Gemini 3.5 Flash Lite or Kimi K3 better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Gemini 3.5 Flash Lite and Kimi K3, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Gemini 3.5 Flash Lite or Kimi K3?+

Gemini 3.5 Flash Lite is $0.30 and Kimi K3 is $2.85 per million tokens, so Gemini 3.5 Flash Lite is cheaper on this metric. Gemini 3.5 Flash Lite is $2.50 and Kimi K3 is $14.25 per million tokens, so Gemini 3.5 Flash Lite is cheaper on this metric.

Which has a larger context window, Gemini 3.5 Flash Lite or Kimi K3?+

Neither model has a larger sourced context window in this comparison. Gemini 3.5 Flash Lite is 1,049K and Kimi K3 is 1,049K.

Which performs better in benchmarks, Gemini 3.5 Flash Lite or Kimi K3?+

Kimi K3 leads the current overall benchmark count. The result uses 5 protocol-matched benchmarks from 3 publishers; it is not a universal quality score.

Can Gemini 3.5 Flash Lite or Kimi K3 be self-hosted?+

Kimi K3 is the only model in this pair currently marked as self-hostable. Gemini 3.5 Flash Lite is not marked open weight; Kimi K3 is open weight.

Can Gemini 3.5 Flash Lite and Kimi K3 understand images?+

Gemini 3.5 Flash Lite is documented with image input; Kimi K3 is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Gemini 3.5 Flash Lite or Kimi K3?+

Neither has a larger sourced maximum output. Gemini 3.5 Flash Lite is 66K and Kimi K3 is —.

Do Gemini 3.5 Flash Lite and Kimi K3 support reasoning and tool use?+

Gemini 3.5 Flash Lite: reasoning, tool calling, and image input. Kimi K3: reasoning and image input. Feature support does not establish relative quality.

Which is available from more inference providers, Gemini 3.5 Flash Lite or Kimi K3?+

Gemini 3.5 Flash Lite has 2 sourced provider routes; Kimi K3 has 5, so Kimi K3 has broader tracked availability.

Which offers better value, Gemini 3.5 Flash Lite or Kimi K3?+

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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