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Gemini 3.7 Flash vs Kimi K3.1 Pro Together

Full profiles: Gemini 3.7 Flash (Google) and Kimi K3.1 Pro Together (Moonshot AI): every benchmark, price and rank.

Updated · Data from 9 sources

As of 9 Nov 2026, Gemini 3.7 Flash and Kimi K3.1 Pro Together are neck and neck on quality (62.2 vs 60.5 on the BenchLeader Index, inside the ±4.3 margin). Kimi K3.1 Pro Together leads in every category we measure both in.

Key facts (as of 9 Nov 2026)

  • Gemini 3.7 Flash scores 62.2 on the BenchLeader Index and Kimi K3.1 Pro Together scores 60.5 (BenchLeader, 9 Nov 2026).
  • Gemini 3.7 Flash costs $1.50 per 1M tokens blended (list price, 9 Nov 2026).
  • Of the 7 benchmarks both models have, Kimi K3.1 Pro Together leads 4 (BenchLeader, 9 Nov 2026).
Gemini 3.7 Flash benchmarks high Google Kimi K3.1 Pro Together benchmarks max Moonshot AIAdd a third model

Which to pick for…

The pick's numbers come first. Category scores on the BenchLeader scale (50 is the average model, 15 points one standard deviation). High confidence means a lead of half a standard deviation or more; under one point is called either.

Use casePickWhyConfidence
MathsKimi K3.1 Pro Together66 vs 63 category score; FrontierMath Tiers 1–3 78.3% vs 71.6%Medium
ReasoningEither68 vs 67 category score; GPQA Diamond 94.8% vs 94.2%Either
KnowledgeKimi K3.1 Pro Together68 vs 67 category score; SimpleQA Verified 62.2% vs 69.2%Medium
Chat quality (human preference)–Only Gemini 3.7 Flash has an Arena rating (68 category score)Not comparable
High volume on a budgetNeither flagshipA smaller model is usually the better fit: Cheapest good LLMs, Fastest LLMs–

Key differences

  • Gemini 3.7 Flash (high) and Kimi K3.1 Pro Together (max) are neck and neck on quality (62.2 vs 60.5, within the ±4.3 margin).
  • Gemini 3.7 Flash (high) is stronger in agents & tools, coding, human preference, long context, multimodal, reasoning.
  • Kimi K3.1 Pro Together (max) is stronger in knowledge, maths.

At a glance

SpecGemini 3.7 FlashKimi K3.1 Pro Together
DeveloperGoogleMoonshot AI
Released13 Aug 202623 Oct 2026
Context window (tokens)1,048,576–
Compared atGemini 3.7 Flash (high)Kimi K3.1 Pro Together (max)
Open weightsNoNo
Price in / out / cached input per 1M$0.750 / $3.75 / $0.075–

Category by category

Category scores on the BenchLeader scale: 50 is the average evaluated model, 15 points is one standard deviation. A gap under one point is called level.

CategoryGemini 3.7 Flash (high)Kimi K3.1 Pro Together (max)Leader
Reasoning67.967.1level
Coding62.7–not comparable
Agents & tools48.0–not comparable
Maths62.965.8Kimi K3.1 Pro Together
Knowledge66.567.6Kimi K3.1 Pro Together
Human preference68.2–not comparable
Multimodal67.2–not comparable
Long context65.6–not comparable

On one chart

Each domain on the index's own scale, where 50 is an average model. Click a domain to see the benchmarks behind it. Pick up to 5 models from the list.

2550 avg75ReasoningMathsKnowledgeGemini 3.7 Flash, Reasoning: 67.9Gemini 3.7 Flash, Maths: 62.9Gemini 3.7 Flash, Knowledge: 66.5Kimi K3.1 Pro Together, Reasoning: 67.1Kimi K3.1 Pro Together, Maths: 65.8Kimi K3.1 Pro Together, Knowledge: 67.6

Not drawn, measured for fewer than two of these models: Coding, Agents & tools, Instruction following, Long context, Multimodal, Human preference.

ModelIndex

Where sources disagree

Across the 7 benchmarks both have, Gemini 3.7 Flash leads 3, Kimi K3.1 Pro Together leads 4.

Overall indexGemini 3.7 Flash (high)Kimi K3.1 Pro Together (max)Leader
BenchLeader Index62.260.5neck and neck

Each publisher runs its own tasks, harnesses and effort settings, so their overall verdicts can differ; BenchLeader reconciles them on one scale. † measured at another effort setting of the same model (the publisher did not test the one compared here).

Price, speed and latency

List prices blended at three input tokens per output token. Per-task prices use the token counts on the methodology page. Cost, tokens and time per benchmark task are measured: Artificial Analysis’ averages over its whole Intelligence Index run.

MeasureGemini 3.7 Flash (high)Kimi K3.1 Pro Together (max)
Blended price per 1M tokens$1.50–
Input / output per 1M$0.750 / $3.75– / –
Cached input per 1M$0.075–
Price per task: chat reply$0.0014–
Price per task: summarize a 30-page report$0.011–
Price per task: code edit$0.010–
Price per task: agentic coding session$0.060–
Price per task: structured extraction$0.0023–
Agentic coding session, input mostly cached$0.030–
Output speed92 tok/s–
Time to first answer2.4 s–

Each model is compared at its best-ranked reasoning-effort setting. Gemini 3.7 Flash (high) scores 62.2 and takes 2 s to its first answer token; Gemini 3.7 Flash (medium) scores 60.2 in 2 s, Gemini 3.7 Flash (low) scores 57.4 in 2 s. Kimi K3.1 Pro Together (max) scores 60.5. Higher effort means more thinking before the answer: better scores, longer waits and more tokens billed. How reasoning effort changes scores and cost.

Every benchmark

87 benchmarks, grouped by category; each name links to the board and its leaders. † measured at another effort setting of the same model, shown for reference and not counted as a win.

MetricPublisherGemini 3.7 Flash (high)Kimi K3.1 Pro Together (max)
BenchLeader IndexBenchLeader62.260.5
Agents & tools scoreBenchLeader48.0–
Coding scoreBenchLeader62.7–
Human preference scoreBenchLeader68.2–
Knowledge scoreBenchLeader66.567.6
Long context scoreBenchLeader65.6–
Maths scoreBenchLeader62.965.8
Multimodal scoreBenchLeader67.2–
Reasoning scoreBenchLeader67.967.1
Blended price $/MBenchLeader$1.50–
Output speedBenchLeader92 tok/s–
Time to first answerBenchLeader2.4 s–
Context windowBenchLeader1,048,576 tokens–
Reasoning
GPQA DiamondEpoch AI Benchmarking Hub94.8%94.2%
Arena Hard PromptsArena (LMArena)1510–
LiveBench 1.0 ReasoningLiveBench87.8%–
GPQA Diamond (AA)Artificial Analysis94.5%–
Humanity's Last Exam (AA)Artificial Analysis47.9%–
GPQA Diamond (Vals)Vals AI93.9%–
ARC-AGI-1ARC Prize95.5%–
ARC-AGI-2ARC Prize84.6%–
CritPtArtificial Analysis14.3%–
Chess PuzzlesEpoch AI Benchmarking Hub66.0%45.0%
Mystery Game PuzzlesEpoch AI Benchmarking Hub37.0%42.0%
LMCAEpoch AI Benchmarking Hub50.4%–
DTBenchEpoch AI Benchmarking Hub96.8%–
ForecastBenchForecastBench66.2%–
Coding
SciCodeSciCode57.2%–
FrontierCodeCognition43.6%†–
Arena CodingArena (LMArena)1520–
Arena WebDevArena (LMArena)1588–
LiveBench 1.0 CodingLiveBench78.9%–
LiveCodeBenchVals AI88.7%–
IOIVals AI67.8%–
SWE-bench (Vals)Vals AI80.8%–
Code MigrationVals AI34.8%–
ProgramBenchVals AI0.0%–
Vibe Code Bench v1.1Vals AI70.4%–
Show all 87 benchmarks
MetricPublisherGemini 3.7 Flash (high)Kimi K3.1 Pro Together (max)
Coding
MirrorCodeEpoch AI Benchmarking Hub41.1%–
DeepSWE v1.1Epoch AI Benchmarking Hub65.3%–
ALE-BenchEpoch AI Benchmarking Hub904.3–
FrontierSWEEpoch AI Benchmarking Hub20.3%–
Terminal-Bench 4.0 (AA)Artificial Analysis13.6%–
Terminal-Bench 2.1 (AA)Artificial Analysis85.8%–
Design Arena WebsiteDesign Arena1300†–
Agents & tools
Terminal-BenchTerminal-Bench12.4%–
Remote Labor IndexScale AI / CAIS5.0%†–
APEX-AgentsMercor67.8%†–
Arena AgentArena (LMArena)-1.9–
LiveBench Agentic CodingLiveBench58.3%–
Terminal-Bench 2.1 (Vals)Vals AI77.5%–
τ³-Banking (AA)Artificial Analysis32.8%–
Analyst Agent (AA)Artificial Analysis60.0%–
CyberBenchVals AI43.8%–
Finance Agent v2Vals AI59.0%–
Harvey's Legal Agent Benchmark v1Vals AI8.8%–
Legal Research BenchVals AI34.6%–
SkillsBenchVals AI65.9%–
SREBenchVals AI4.6%–
Tax Agent BenchVals AI22.8%–
Terminal-Bench 4.0 (Vals)Vals AI12.1%–
Terminal-Bench ScienceVals AI7.1%–
AutomationBenchArtificial Analysis62.0%–
GDP.pdf (AA)Artificial Analysis23.6%–
EnterpriseOps-GymArtificial Analysis50.4%†–
Design Arena AgenticDesign Arena1218†–
Maths
FrontierMath Tiers 1–3Epoch AI Benchmarking Hub71.6%78.3%
FrontierMath Tier 4Epoch AI Benchmarking Hub36.6%65.8%
OTIS Mock AIMEEpoch AI Benchmarking Hub97.2%100.0%
ProofBenchVals AI58.0%†–
LiveBench MathematicsLiveBench93.5%–
Arena MathsArena (LMArena)1502–
Knowledge
SimpleQA VerifiedEpoch AI Benchmarking Hub69.2%62.2%
LiveBench 1.0 Data AnalysisLiveBench68.0%–
MMLU-ProVals AI90.1%–
LegalBenchVals AI87.3%–
TaxEvalVals AI74.7%–
Excel Modeling BenchmarkVals AI71.3%–
MedCodeVals AI53.4%–
MedScribeVals AI83.9%–
GDP.pdfEpoch AI Benchmarking Hub23.8%–
Instruction following
LiveBench LanguageLiveBench85.5%–
LiveBench Instruction FollowingLiveBench79.9%–
Arena Instruction FollowingArena (LMArena)1486–
Human preference
Arena TextArena (LMArena)1489–
Arena Creative WritingArena (LMArena)1487–
Arena Multi-turnArena (LMArena)1490–
Arena Longer QueriesArena (LMArena)1501–
Multimodal
Arena VisionArena (LMArena)1313–
MMMU-ProArtificial Analysis85.5%–
MMMU-Pro (Vals)Vals AI89.0%–
MortgageTaxVals AI66.7%–
Long context
AA-LCR v1.1Artificial Analysis81.7%–
Arena DocumentArena (LMArena)1468–
MLCRArtificial Analysis12.2%–
Composite
Epoch Capabilities IndexEpoch AI Benchmarking Hub158.4†–
LiveBench 1.0LiveBench78.8%–
AA Intelligence Index v4.3.2Artificial Analysis39.1–
AA Progress Index v1Artificial Analysis317.4–
Vals RSI IndexVals AI18.3%–

Data as of 2026-11-09. Best configuration of each model; every score links to its source on the model pages.

What changed

  • Gemini 3.7 Flash (high): 1 score revision.
  • Gemini 3.7 Flash (high): 1 new result (Arena Document).
  • Kimi K3.1 Pro Together (max): first results.
  • Gemini 3.7 Flash (high): 1 new result (MirrorCode).
  • Gemini 3.7 Flash (high): 1 new result (AA Progress Index v1).
  • Gemini 3.7 Flash (high): 2 new results (Harvey's Legal Agent Benchmark v1, Vals RSI Index).
  • Gemini 3.7 Flash (high): input price moved from $0.38/M to $0.75/M (97% up); output price moved from $1.88/M to $3.75/M (99% up).
  • Gemini 3.7 Flash (high): 1 score revision; input price moved from $0.75/M to $0.38/M (49% down); output price moved from $3.75/M to $1.88/M (50% down).
  • Gemini 3.7 Flash (high): 1 new result (ForecastBench).
  • Gemini 3.7 Flash (high): BenchLeader Index 60.8 → 62.6.

Rankings: Best LLM overall · Best LLM for agents · Best cheap LLMs

Gemini 3.7 Flash vs Kimi K3.1 Pro Together: questions

Is Gemini 3.7 Flash better than Kimi K3.1 Pro Together?
Gemini 3.7 Flash (high) and Kimi K3.1 Pro Together (max) are neck and neck on quality (62.2 vs 60.5, within the ±4.3 margin). The BenchLeader Index combines every independent quality benchmark; the two are within the margin of error as of 9 Nov 2026, so check the category scores for your use.
Do independent benchmarks agree on Gemini 3.7 Flash vs Kimi K3.1 Pro Together?
Across the 7 benchmarks both have, Gemini 3.7 Flash leads 3, Kimi K3.1 Pro Together leads 4.
When was Kimi K3.1 Pro Together released?
Kimi K3.1 Pro Together was released on 23 Oct 2026.