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Model comparison

Gemini 3.5 Flash-Lite vs Kimi K2.6

Data verified

Head-to-head evidence from 18 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

N/A
No comparison
Kimi K2.6
Moonshot AI
56.79/100
0 category wins2 category wins

Public leaderboard positions: Gemini 3.5 Flash-Lite unranked (Not scored); Kimi K2.6 #74 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Gemini 3.5 Flash-Lite and Kimi K2.6 share 18 comparable benchmark results. 2 of 8 categories are comparable. 3 results are unique to Gemini 3.5 Flash-Lite; 33 to Kimi K2.6.

Updated July 21, 2026
Shared results
18
Gemini 3.5 Flash-Lite only
3
Kimi K2.6 only
33
Comparable categories
2 / 8

Treat this as a split decision. Gemini 3.5 Flash-Lite makes more sense if you want the cheaper token bill or you need the larger 1M context window; Kimi K2.6 is the better fit if coding is the priority.

Confidence note. This is a partial-evidence comparison with 18 shared benchmark results across 5 evidence categories; 2 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

Gemini 3.5 Flash-Lite and Kimi K2.6 finish on the same BenchAlign overall score, so this is less about a single winner and more about where the edge shows up. The BenchAlign headline says tie; the benchmark table is where the real choice happens.

Kimi K2.6 is also the more expensive model on tokens at $0.95 input / $4.00 output per 1M tokens, versus $0.30 input / $2.50 output per 1M tokens for Gemini 3.5 Flash-Lite. Gemini 3.5 Flash-Lite gives you the larger context window at 1M, compared with 256K for Kimi K2.6.

Category breakdown

Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.

Category scores and score margins for Gemini 3.5 Flash-Lite and Kimi K2.6
CategoryGemini 3.5 Flash-LiteΔKimi K2.6
CodingGemini 3.5 Flash-Lite54.2Margin→ 10.2Kimi K2.664.4
AgenticGemini 3.5 Flash-Lite63.4Margin→ 10.1Kimi K2.673.5
ReasoningGemini 3.5 Flash-Lite72.2MarginNo overlapKimi K2.6Not measured
KnowledgeGemini 3.5 Flash-LiteNot measuredMarginNo overlapKimi K2.642.2
MathGemini 3.5 Flash-LiteNot measuredMarginNo overlapKimi K2.667.1
MultimodalGemini 3.5 Flash-LiteNot measuredMarginNo overlapKimi K2.679.8

Decisive benchmark drivers

The largest measured benchmark gaps in this matchup, with exact reported values.

More
A · Gemini 3.5 Flash-LiteB · Kimi K2.6

  1. Terminal-Bench 2.0

    Agentic
    Source ↗
    A 54%B 66.7%
    Winner: Kimi K2.6Δ 12.7
    Terminal-Bench 2.0: Gemini 3.5 Flash-Lite scored 54%; Kimi K2.6 scored 66.7%. Kimi K2.6 wins this benchmark.

  2. SWE-bench Pro

    Coding
    Source ↗
    A 54.2%B 58.6%
    Winner: Kimi K2.6Δ 4.4
    SWE-bench Pro: Gemini 3.5 Flash-Lite scored 54.2%; Kimi K2.6 scored 58.6%. Kimi K2.6 wins this benchmark.

  3. OSWorld-Verified

    Agentic
    Source ↗
    A 74%B 73.1%
    Winner: Gemini 3.5 Flash-LiteΔ 0.9
    OSWorld-Verified: Gemini 3.5 Flash-Lite scored 74%; Kimi K2.6 scored 73.1%. Gemini 3.5 Flash-Lite wins this benchmark.

Operational comparison

Runtime and commercial metrics are compared only when both models have a complete sourced value.

MetricGemini 3.5 Flash-LiteKimi K2.6Comparison
Input / output priceUSD per 1M tokensGemini 3.5 Flash-Lite$0.3 input / $2.5 outputKimi K2.6$0.95 input / $4 outputGemini 3.5 Flash-Lite has the lower combined listed price.
Generation speedtokens per secondGemini 3.5 Flash-LiteNot availableKimi K2.6Not availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenGemini 3.5 Flash-LiteNot availableKimi K2.6Not availableA complete latency comparison is not available.
Context windowmaximum listed tokensGemini 3.5 Flash-Lite1MKimi K2.6256KGemini 3.5 Flash-Lite lists the larger context window.

Benchmark Deep Dive

AgenticKimi K2.6 wins
BenchmarkGemini 3.5 Flash-LiteKimi K2.6Result
Terminal-Bench 2.0Source 54%66.7%Kimi K2.6 leads
OSWorld-VerifiedSource 74%73.1%Gemini 3.5 Flash-Lite leads
GDPval-AASource 11401189Kimi K2.6 leads
AA Agentic IndexSource 26.8%30.3%Kimi K2.6 leads
GDPval-AASource 32.0%34.5%Kimi K2.6 leads
AA BriefcaseSource 634—Not comparable
AA Tau3 BankingSource 16.5%—Not comparable
BrowseCompSource —83.2%Not comparable
ToolathlonSource —50%Not comparable
MCP AtlasSource —55.9%Not comparable
Claw-EvalSource —62.3%Not comparable
DeepSearchQASource —92.5%Not comparable
WideResearchSource —80.8%Not comparable
τ²-bench resultsSource —95.9%Not comparable
APEX-Agents-AASource —28.5%Not comparable
Gert LabsSource —56.82%Not comparable
ResearchClawBenchSource —18.0%Not comparable
OSWorld 2.0Source —4.6%Not comparable
terminalBenchHardSource —43.9%Not comparable
CodingKimi K2.6 wins
BenchmarkGemini 3.5 Flash-LiteKimi K2.6Result
Terminal-Bench 2.0Source 54.0%66.7%Kimi K2.6 leads
SWE-bench ProSource 54.2%58.6%Kimi K2.6 leads
AA Coding IndexSource 49.3%61.8%Kimi K2.6 leads
AA-SciCodeSource 40.9%53.5%Kimi K2.6 leads
SWE-bench VerifiedSource —80.2%Not comparable
LiveCodeBench v6Source —89.6%Not comparable
SWE MultilingualSource —76.7%Not comparable
SciCodeSource —52.2%Not comparable
Vibe Code BenchSource —37.89%Not comparable
cursorBench31Source —47.6%Not comparable
Reasoning
BenchmarkGemini 3.5 Flash-LiteKimi K2.6Result
MRCRv2Source 72.2%—Not comparable
AA-LCRSource 62.0%69.7%Kimi K2.6 leads
CritPtSource 0.0%8.0%Kimi K2.6 leads
Knowledge
BenchmarkGemini 3.5 Flash-LiteKimi K2.6Result
Artificial Analysis Intelligence IndexSource 36.5%44.2%Kimi K2.6 leads
AA-GPQA DiamondSource 83.8%91.1%Kimi K2.6 leads
AA-HLESource 17.5%35.9%Kimi K2.6 leads
AA-Omniscience IndexSource 6.9%6.4%Gemini 3.5 Flash-Lite leads
AA-Omniscience AccuracySource 30.3%32.8%Kimi K2.6 leads
AA-Omniscience Hallucination RateSource 33.5%39.3%Gemini 3.5 Flash-Lite leads
GPQASource —90.5%Not comparable
GPQA-DSource —90.5%Not comparable
HLESource —34.7%Not comparable
Math
BenchmarkGemini 3.5 Flash-LiteKimi K2.6Result
AIME26Source —96.4%Not comparable
HMMT Feb 2026Source —92.7%Not comparable
MMAnswerBenchSource —86.0%Not comparable
FrontierMath v2 (Tiers 1-3)Source —38.966%Not comparable
FrontierMath v2 (Tier 4)Source —14.580%Not comparable
Multimodal
BenchmarkGemini 3.5 Flash-LiteKimi K2.6Result
AA-MMMU-ProSource 79.0%79.4%Kimi K2.6 leads
MMMU-ProSource —79.4%Not comparable
MMMU-Pro w/ PythonSource —80.1%Not comparable
CharXivSource —80.4%Not comparable
MathVisionSource —87.4%Not comparable
V*Source —96.9%Not comparable
Design Arena WebsiteSource —1306Not comparable
Inst. Following
BenchmarkGemini 3.5 Flash-LiteKimi K2.6Result
AA-IFBenchSource —76.0%Not comparable
Frequently Asked Questions (3)

Which is better, Gemini 3.5 Flash-Lite or Kimi K2.6?

Gemini 3.5 Flash-Lite and Kimi K2.6 are tied on the BenchAlign overall score, so the right pick depends on which category matters most for your use case.

Which is better for coding, Gemini 3.5 Flash-Lite or Kimi K2.6?

Kimi K2.6 has the edge for coding in this comparison, averaging 64.4 versus 54.2. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.

Which is better for agentic tasks, Gemini 3.5 Flash-Lite or Kimi K2.6?

Kimi K2.6 has the edge for agentic tasks in this comparison, averaging 73.5 versus 63.4. Inside this category, GDPval-AA is the benchmark that creates the most daylight between them.

Self-host vs API cost

Estimates at 50,000 req/day · 1000 tokens/req average.

Gemini 3.5 Flash-Lite
API / mo$2,100
Self-host / moNot listed
Break-even—
Proprietary model — self-hosting not applicable.
Kimi K2.6
API / mo$3,713
Self-host / mo$18,221
Break-even326M/day
Model the full break-even

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