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Model comparison

Gemini 3.1 Pro vs Kimi K3

Data verified

Head-to-head evidence from 28 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

55.3/100
Margin
25.7pts
winning →
Kimi K3
Moonshot AI
80.96/100
1 category wins0 category wins

Public leaderboard positions: Gemini 3.1 Pro #83 (Estimated); Kimi K3 #4 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Gemini 3.1 Pro and Kimi K3 share 28 comparable benchmark results. 1 of 8 categories are comparable. 19 results are unique to Gemini 3.1 Pro; 29 to Kimi K3.

Updated July 23, 2026
Shared results
28
Gemini 3.1 Pro only
19
Kimi K3 only
29
Comparable categories
1 / 8

Pick Kimi K3 if you want the stronger benchmark profile. Gemini 3.1 Pro only becomes the better choice if multimodal & grounded is the priority or you want the cheaper token bill.

Confidence note. This is a partial-evidence comparison with 28 shared benchmark results across 5 evidence categories; 1 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

Kimi K3 is clearly ahead on the BenchAlign aggregate, 80.96 to 55.3. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.

Kimi K3 is also the more expensive model on tokens at $3.00 input / $15.00 output per 1M tokens, versus $2.00 input / $12.00 output per 1M tokens for Gemini 3.1 Pro. Kimi K3 is the reasoning model in the pair, while Gemini 3.1 Pro is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. Kimi K3 gives you the larger context window at 1.05M, compared with 1M for Gemini 3.1 Pro.

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 3.1 Pro and Kimi K3
CategoryGemini 3.1 ProΔKimi K3
MultimodalGemini 3.1 Pro82.6Margin← 4.1Kimi K378.5
AgenticGemini 3.1 ProNot measuredMarginNo overlapKimi K389.5
ReasoningGemini 3.1 Pro77.1MarginNo overlapKimi K3Not measured
KnowledgeGemini 3.1 ProNot measuredMarginNo overlapKimi K361.0
MathGemini 3.1 Pro31.8MarginNo overlapKimi K3Not measured

Decisive benchmark drivers

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

More
A · Gemini 3.1 ProB · Kimi K3

  1. CharXiv

    Multimodal
    Source ↗
    A 80.2%B 91.3%
    Winner: Kimi K3Δ 11.1
    CharXiv: Gemini 3.1 Pro scored 80.2%; Kimi K3 scored 91.3%. Kimi K3 wins this benchmark.

  2. MMMU-Pro

    Multimodal
    Source ↗
    A 83.9%B 81.6%
    Winner: Gemini 3.1 ProΔ 2.3
    MMMU-Pro: Gemini 3.1 Pro scored 83.9%; Kimi K3 scored 81.6%. Gemini 3.1 Pro wins this benchmark.

Operational comparison

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

MetricGemini 3.1 ProKimi K3Comparison
Input / output priceUSD per 1M tokensGemini 3.1 Pro$2 input / $12 outputKimi K3$3 input / $15 outputGemini 3.1 Pro has the lower combined listed price.
Generation speedtokens per secondGemini 3.1 Pro109 tok/sKimi K3Not availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenGemini 3.1 Pro29.71 sKimi K3Not availableA complete latency comparison is not available.
Context windowmaximum listed tokensGemini 3.1 Pro1MKimi K31.05MKimi K3 lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkGemini 3.1 ProKimi K3Result
Claw-EvalSource 57.8%—Not comparable
DeepSearchQASource 69.7%95.0%Kimi K3 leads
τ²-bench resultsSource 95.6%—Not comparable
AA Agentic IndexSource 21.4%50.1%Kimi K3 leads
APEX-Agents-AASource 32.0%41.3%Kimi K3 leads
GDPval-AASource 23.3%59.0%Kimi K3 leads
GDPval-AASource 9651679Kimi K3 leads
Gert LabsSource 56.87%—Not comparable
ResearchClawBenchSource 13.3%—Not comparable
AA AutomationBenchSource 37.5%52.7%Kimi K3 leads
AA EnterpriseOps-GymSource 42.2%45.3%Kimi K3 leads
AA Harvey LABSource 58.9%94.6%Kimi K3 leads
AA ITBenchSource 30.3%47.7%Kimi K3 leads
AA Tau3 BankingSource 16.5%33.4%Kimi K3 leads
terminalBenchHardSource 53.8%—Not comparable
aaTerminalBench21Source 73.8%85%Kimi K3 leads
Terminal-Bench 2.0Source —88.3%Not comparable
BrowseCompSource —91.2%Not comparable
Toolathlon-VerifiedSource —73.2%Not comparable
MCP AtlasSource —84.2%Not comparable
AutomationBenchSource —30.8%Not comparable
JobBenchSource —52.9%Not comparable
APEX-AgentsSource —37.6%Not comparable
SpreadsheetBench 2Source —34.8%Not comparable
DECK-BenchSource —73.5%Not comparable
AA BriefcaseSource —1543Not comparable
Coding
BenchmarkGemini 3.1 ProKimi K3Result
LiveCodeBench ProSource 82.9%—Not comparable
React Native EvalsSource 78.9%—Not comparable
Vibe Code BenchSource 32.03%—Not comparable
AA Coding IndexSource 68.8%76.2%Kimi K3 leads
AA-SciCodeSource 58.9%58.7%Gemini 3.1 Pro leads
deepSweSource —67.5%Not comparable
FrontierSWESource —81.2%Not comparable
ProgramBenchSource —77.8%Not comparable
Kimi Code Bench v2Source —72.9%Not comparable
sweMarathonSource —42%Not comparable
PostTrain BenchSource —36.6%Not comparable
MLS-Bench LiteSource —48.3%Not comparable
Reasoning
BenchmarkGemini 3.1 ProKimi K3Result
ARC-AGI-2Source 77.1%—Not comparable
AA-LCRSource 72.7%74.7%Kimi K3 leads
CritPtSource 17.7%23.4%Kimi K3 leads
Knowledge
BenchmarkGemini 3.1 ProKimi K3Result
GPQA-DSource 94.3%93.5%Gemini 3.1 Pro leads
HLE w/o toolsSource 45.4%43.5%Gemini 3.1 Pro leads
HealthBench HardSource 20.6%—Not comparable
MedXpertQA (Text)Source 71.5%—Not comparable
Artificial Analysis Intelligence IndexSource 46.5%57.1%Kimi K3 leads
AA-GPQA DiamondSource 94.1%93.5%Gemini 3.1 Pro leads
AA-HLESource 44.7%44.3%Gemini 3.1 Pro leads
AA-Omniscience IndexSource 32.9%18.4%Gemini 3.1 Pro leads
AA-Omniscience AccuracySource 55.3%46.0%Gemini 3.1 Pro leads
AA-Omniscience Hallucination RateSource 49.9%50.9%Gemini 3.1 Pro leads
GPQASource —93.5%Not comparable
HLESource —56%Not comparable
Math
BenchmarkGemini 3.1 ProKimi K3Result
FrontierMath v2 (Tiers 1-3)Source 36.900%—Not comparable
FrontierMath v2 (Tier 4)Source 16.700%—Not comparable
Multilingual
BenchmarkGemini 3.1 ProKimi K3Result
AA Global-MMLU-LiteSource 93.2%—Not comparable
MultimodalGemini 3.1 Pro wins
BenchmarkGemini 3.1 ProKimi K3Result
MMMU-ProSource 83.9%81.6%Gemini 3.1 Pro leads
CharXivSource 80.2%91.3%Kimi K3 leads
ERQASource 69.4%—Not comparable
SimpleVQASource 72.4%—Not comparable
ScreenSpot ProSource 84.4%—Not comparable
ZeroBenchSource 29.0%23.0%Gemini 3.1 Pro leads
MedXpertQA (MM)Source 81.3%—Not comparable
AA-MMMU-ProSource 82.4%80.5%Gemini 3.1 Pro leads
Design Arena WebsiteSource 12811386Kimi K3 leads
OfficeQA ProSource —63.3%Not comparable
MMMU-Pro w/ PythonSource —83.4%Not comparable
CharXiv w/o toolsSource —84.8%Not comparable
MathVisionSource —94.3%Not comparable
MathVision w/ PythonSource —97.8%Not comparable
BabyVision w/ PythonSource —85.7%Not comparable
ZeroBench w/ PythonSource —41.0%Not comparable
WorldVQA ForceAnswerSource —51.0%Not comparable
OmniDocBenchSource —91.1%Not comparable
PerceptionBenchSource —58.5%Not comparable
Inst. Following
BenchmarkGemini 3.1 ProKimi K3Result
AA-IFBenchSource 77.1%—Not comparable
Frequently Asked Questions (2)

Which is better, Gemini 3.1 Pro or Kimi K3?

Kimi K3 is ahead on BenchLM's BenchAlign leaderboard, 80.96 to 55.3. The biggest single separator in this matchup is CharXiv, where the scores are 80.2% and 91.3%.

Which is better for multimodal and grounded tasks, Gemini 3.1 Pro or Kimi K3?

Gemini 3.1 Pro has the edge for multimodal and grounded tasks in this comparison, averaging 82.6 versus 78.5. Inside this category, Design Arena Website is the benchmark that creates the most daylight between them.

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