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Model comparison

Gemini 3 Pro Deep Think vs Kimi K2.6

Data verified

Head-to-head evidence from 1 shared benchmark result across 1 category. Overall scores shown here use the public BenchAlign v5 ranking lane.

61.02/100
Margin
4.0pts
← winning
Moonshot AI
57.04/100
0 category wins0 category wins

Public leaderboard positions: Gemini 3 Pro Deep Think #39 (Estimated); Kimi K2.6 #70 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Gemini 3 Pro Deep Think and Kimi K2.6 share 1 comparable benchmark result. 0 of 8 categories are comparable. 1 result is unique to Gemini 3 Pro Deep Think; 57 to Kimi K2.6.

Updated July 17, 2026
Shared results
1
Gemini 3 Pro Deep Think only
1
Kimi K2.6 only
57
Comparable categories
0 / 8

Benchmark data for Gemini 3 Pro Deep Think and Kimi K2.6 is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 1 shared benchmark result across 1 evidence category; 0 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

BenchLM has partial data for these models, but not enough overlapping benchmark coverage to produce a fair score-level comparison yet.

Gemini 3 Pro Deep Think has the larger context window at 2M, 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 Pro Deep Think and Kimi K2.6
CategoryGemini 3 Pro Deep ThinkΔKimi K2.6
AgenticGemini 3 Pro Deep ThinkNot measuredMarginNo overlapKimi K2.673.5
CodingGemini 3 Pro Deep ThinkNot measuredMarginNo overlapKimi K2.664.4
ReasoningGemini 3 Pro Deep Think45.1MarginNo overlapKimi K2.6Not measured
KnowledgeGemini 3 Pro Deep ThinkNot measuredMarginNo overlapKimi K2.642.2
MathGemini 3 Pro Deep ThinkNot measuredMarginNo overlapKimi K2.667.1
MultimodalGemini 3 Pro Deep ThinkNot measuredMarginNo overlapKimi K2.679.8

Operational comparison

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

MetricGemini 3 Pro Deep ThinkKimi K2.6Comparison
Input / output priceUSD per 1M tokensGemini 3 Pro Deep ThinkNot availableKimi K2.6$0.95 input / $4 outputA complete price comparison is not available.
Generation speedtokens per secondGemini 3 Pro Deep ThinkNot availableKimi K2.6Not availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenGemini 3 Pro Deep ThinkNot availableKimi K2.6Not availableA complete latency comparison is not available.
Context windowmaximum listed tokensGemini 3 Pro Deep Think2MKimi K2.6256KGemini 3 Pro Deep Think lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkGemini 3 Pro Deep ThinkKimi K2.6Result
Terminal-Bench 2.0Source 66.7%Not comparable
BrowseCompSource 83.2%Not comparable
OSWorld-VerifiedSource 73.1%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
AA Agentic IndexSource 30.3%Not comparable
τ²-bench resultsSource 95.9%Not comparable
GDPval-AASource 34.5%Not comparable
GDPval-AASource 1191Not 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
AA BriefcaseSource 815Not comparable
AA EnterpriseOps-GymSource 38.5%Not comparable
AA Harvey LABSource 0.0%Not comparable
AA ITBenchSource 31.2%Not comparable
AA Tau3 BankingSource 20.6%Not comparable
Coding
BenchmarkGemini 3 Pro Deep ThinkKimi K2.6Result
SWE-bench VerifiedSource 80.2%Not comparable
LiveCodeBench v6Source 89.6%Not comparable
SWE-bench ProSource 58.6%Not comparable
SWE MultilingualSource 76.7%Not comparable
SciCodeSource 52.2%Not comparable
Terminal-Bench 2.0Source 66.7%Not comparable
Vibe Code BenchSource 37.89%Not comparable
cursorBench31Source 47.6%Not comparable
AA Coding IndexSource 61.8%Not comparable
Terminal-Bench HardSource 43.9%Not comparable
AA-SciCodeSource 53.5%Not comparable
AA Terminal-Bench 2.1Source 65.9%Not comparable
Reasoning
BenchmarkGemini 3 Pro Deep ThinkKimi K2.6Result
ARC-AGI-2Source 45.1%Not comparable
CritPtSource 25.7%8.0%Gemini 3 Pro Deep Think leads
AA-LCRSource 69.7%Not comparable
Knowledge
BenchmarkGemini 3 Pro Deep ThinkKimi K2.6Result
GPQASource 90.5%Not comparable
GPQA-DSource 90.5%Not comparable
HLESource 34.7%Not comparable
Artificial Analysis Intelligence IndexSource 44.2%Not comparable
AA-GPQA DiamondSource 91.1%Not comparable
AA-HLESource 35.9%Not comparable
AA-Omniscience IndexSource 6.4%Not comparable
AA-Omniscience AccuracySource 32.8%Not comparable
AA-Omniscience Hallucination RateSource 39.3%Not comparable
AA Openness IndexSource 33.3%Not comparable
Math
BenchmarkGemini 3 Pro Deep ThinkKimi 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 Pro Deep ThinkKimi K2.6Result
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
AA-MMMU-ProSource 79.4%Not comparable
Design Arena WebsiteSource 1310Not comparable
Inst. Following
BenchmarkGemini 3 Pro Deep ThinkKimi K2.6Result
AA-IFBenchSource 76.0%Not comparable
Frequently Asked Questions (3)

Can I compare Gemini 3 Pro Deep Think and Kimi K2.6 on BenchLM yet?

Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.

Why does this comparison show “coming soon”?

BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.

What data is available for Gemini 3 Pro Deep Think and Kimi K2.6 today?

Gemini 3 Pro Deep Think: Pricing unavailable Kimi K2.6: $0.95 input / $4.00 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.

Self-host vs API cost

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

Gemini 3 Pro Deep Think
API / mo$0
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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Last updated: July 17, 2026

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