Pairwise benchmark snapshot · Aug 16, 2026noindex (thin pair)

Google: Gemini 3.1 Flash Lite vs Kimi K3 benchmark

Name: Google: Gemini 3.1 Flash Lite vs Kimi K3 AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares Google: Gemini 3.1 Flash Lite (Google) and Kimi K3 (Moonshot) using the latest snapshots we have as of Aug 16, 2026. Google: Gemini 3.1 Flash Lite wins on output price at $1.5/1M. Google: Gemini 3.1 Flash Lite has the larger context window (1M tokens). Every cell below is a dated snapshot from a named public source — we do not invent missing scores, and we do not run SWE-bench ourselves.

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Google

Google: Gemini 3.1 Flash Lite

Auto-discovered from OpenRouter (google/gemini-3.1-flash-lite). Preview until a second source matches.

$1.5/1M out

Moonshot

Kimi K3

Moonshot AI frontier flagship reasoning and agent swarm model with 256k context and top-tier SWE-bench coding capability.

Elo 1,528$15/1M out

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Model A

Model B

Quick vs:vs Claude Opus 4.5 vs Claude Opus 4.6 vs Claude Sonnet 4.5 vs Claude 3.7 Sonnet

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Google: Gemini 3.1 Flash Lite (2)vsKimi K3 (7)

Google: Gemini 3.1 Flash Lite: 2W (22%)Overall: Kimi K3Kimi K3: 7W (78%)

← Google: Gemini 3.1 Flash Lite1 tiesKimi K3 →

Kimi K3 (5/5)

Intelligence & Reasoning

Preference Elo, Coding proficiency, SWE-bench & LiveBench accuracy

Preference Elo

—vs1,528

Coding Elo

—vs1,535

SWE-bench

—vs73.8%

LiveBench

—vs69.5%

GPQA Diamond

—vs88.4%

Google: Gemini 3.1 Flash Lite: 0WKimi K3: 5W

Kimi K3 (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

—vs68 tok/s

Time to first token

—vs290 ms

Google: Gemini 3.1 Flash Lite: 0WKimi K3: 2W

Google: Gemini 3.1 Flash Lite (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$1.5/1Mvs$15/1M

Input price

$0.25/1Mvs$3/1M

Context window

1Mvs1M

Google: Gemini 3.1 Flash Lite: 2WKimi K3: 0W

Capability Matchup Radar

Multi-Dimensional Capability Radar

Each spoke is a skill. Farther from the center is better (0–100th percentile). Tap any dot to inspect details.

Tap any node to inspect

Percentile 0–100

Dimensional AdvantageKimi K3 4/6

Preference Elo

No shared data

Throughput Speed

No shared data

Price Efficiency

Google: Gemini 3.1 Flash Lite

$13.50/1M cheaper

Full Benchmark Score Matrix

—

Elo

High is better

—

EloHigh is better

1,528

Code Elo

High is better

—

Code EloHigh is better

1,535

LiveBench

High is better

—

LiveBenchHigh is better

69.5%

SWE-bench

High is better

—

SWE-benchHigh is better

73.8%

GPQA

High is better

—

GPQAHigh is better

88.4%

TTFT

Low is better

—

TTFTLow is better

290 ms

Speed

High is better

—

SpeedHigh is better

68 tok/s

In $

Low is better

+1100%$0.25/1M

In $Low is better

$3/1M

Out $

Low is better

+900%$1.5/1M

Out $Low is better

$15/1M

Context

High is better

ContextHigh is better

Interactive Simulator

Workload Cost & Savings Calculator

Simulate monthly production API costs based on published $/1M tokens.

Save up to 91% with Google: Gemini 3.1 Flash Lite

Monthly Volume50M tokens/mo

Quick Presets:

Token Ratio (In vs Out)70% In / 30% Out

RAG / Search (10% out)Coding / Chat (50% out)

Google: Gemini 3.1 Flash Lite$31.25 / mo

In: $8.75Out: $22.50

Kimi K3$330.00 / mo

In: $105.00Out: $225.00

Estimated Cost Delta

Google: Gemini 3.1 Flash Lite is estimated to save $298.75/month ($3,585/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

1
Google: Gemini 3.1 Flash Lite:Pick Google: Gemini 3.1 Flash Lite when you are optimizing output cost.
2
Google: Gemini 3.1 Flash Lite:Pick Google: Gemini 3.1 Flash Lite for million-token RAG or long-document jobs.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatGoogle: Gemini 3.1 Flash Lite

Lower output list price ($1.5/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGGoogle: Gemini 3.1 Flash Lite

Larger window (1M).

Screenshots / visionKimi K3

Kimi K3 is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	insufficient data	Need SWE-bench on both sides.
High-volume chat	Google: Gemini 3.1 Flash Lite	Lower output list price ($1.5/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	Google: Gemini 3.1 Flash Lite	Larger window (1M).
Screenshots / vision	Kimi K3	Kimi K3 is the side marked multimodal in the catalog.

Related Editorial Dispatches & Benchmark Notes

View all news

launchJun 8, 2026

Kimi K3: Moonshot’s long-context open-weight competitive row

Jun 2026. The Kimi vs GPT hub remaps to the top Moonshot Elo vs top OpenAI Elo.

Community Sentiment

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LIVE

Google

Google: Gemini 3.1 Flash Lite

Elo n/a

LiveBench—

SWE-bench—

Speed—

Output cost$1.5/1M

Moonshot

Kimi K3

Elo 1,528

LiveBench69.5%

SWE-bench73.8%

Speed68 tok/s

Output cost$15/1M

Frequently Asked Questions

Which is better overall, Google: Gemini 3.1 Flash Lite or Kimi K3?: We do not have preference Elo for both models, so we do not declare an overall winner. Compare the metrics that exist.
Which is better at coding, Google: Gemini 3.1 Flash Lite or Kimi K3?: SWE-bench is missing for at least one model, so we do not rank coding from a single number.
Which is cheaper to run in production?: Google: Gemini 3.1 Flash Lite output tokens are $1.5/1M versus $15/1M. Input prices and retry rates still move the real bill.
Which is faster, Google: Gemini 3.1 Flash Lite or Kimi K3?: We do not have TTFT for both models.
Which has the larger context window?: Google: Gemini 3.1 Flash Lite accepts 1M tokens versus 1M.
Can I self-host either model?: Neither model is marked open-weights here. You are comparing hosted APIs.
Are these scores from CompareLLM’s own evals?: No. V1 aggregates public leaderboards (and optional first-party latency pings). Each cell names its source and date. Read /methodology.
What does preference Elo mean on this page?: Preference Elo is a crowd vote from LMArena / Arena. People see two hidden answers and pick the one they like more. The model that wins more often gets a higher Elo. That means people preferred it — not that it passed a school test. It is not SWE-bench, not accuracy, and not a number we invent. Google: Gemini 3.1 Flash Lite and Kimi K3 Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All Google: Gemini 3.1 Flash Lite matchups →|All Kimi K3 matchups →

Kimi K3 vs MoonshotAI: Kimi K2.5 (previous kimi)Gemini 3 Pro vs Kimi K3 Gemini 3 Flash vs Kimi K3 Gemini 2.0 Flash Thinking vs Kimi K3 Gemini 3.6 Pro vs Kimi K3 Gemini 3.6 Flash vs Kimi K3

Google: Gemini 3.1 Flash Lite vs Kimi K3 benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Google: Gemini 3.1 Flash Lite (2)vsKimi K3 (7)

Google: Gemini 3.1 Flash Lite: 2W (22%)Overall: Kimi K3Kimi K3: 7W (78%)

← Google: Gemini 3.1 Flash Lite1 tiesKimi K3 →

Kimi K3 (5/5)

Intelligence & Reasoning

Preference Elo, Coding proficiency, SWE-bench & LiveBench accuracy

Preference Elo

—vs1,528

Coding Elo

—vs1,535

SWE-bench

—vs73.8%

LiveBench

—vs69.5%

GPQA Diamond

—vs88.4%

Google: Gemini 3.1 Flash Lite: 0WKimi K3: 5W

Kimi K3 (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

—vs68 tok/s

Time to first token

—vs290 ms

Google: Gemini 3.1 Flash Lite: 0WKimi K3: 2W

Google: Gemini 3.1 Flash Lite (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$1.5/1Mvs$15/1M

Input price

$0.25/1Mvs$3/1M

Context window

1Mvs1M

Google: Gemini 3.1 Flash Lite: 2WKimi K3: 0W

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatGoogle: Gemini 3.1 Flash Lite

Lower output list price ($1.5/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGGoogle: Gemini 3.1 Flash Lite

Larger window (1M).

Screenshots / visionKimi K3

Kimi K3 is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	insufficient data	Need SWE-bench on both sides.
High-volume chat	Google: Gemini 3.1 Flash Lite	Lower output list price ($1.5/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	Google: Gemini 3.1 Flash Lite	Larger window (1M).
Screenshots / vision	Kimi K3	Kimi K3 is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, Google: Gemini 3.1 Flash Lite or Kimi K3?

We do not have preference Elo for both models, so we do not declare an overall winner. Compare the metrics that exist.

Which is better at coding, Google: Gemini 3.1 Flash Lite or Kimi K3?

SWE-bench is missing for at least one model, so we do not rank coding from a single number.

Which is cheaper to run in production?

Google: Gemini 3.1 Flash Lite output tokens are $1.5/1M versus $15/1M. Input prices and retry rates still move the real bill.

Which is faster, Google: Gemini 3.1 Flash Lite or Kimi K3?

We do not have TTFT for both models.

Which has the larger context window?

Google: Gemini 3.1 Flash Lite accepts 1M tokens versus 1M.

Can I self-host either model?

Neither model is marked open-weights here. You are comparing hosted APIs.

Are these scores from CompareLLM’s own evals?

No. V1 aggregates public leaderboards (and optional first-party latency pings). Each cell names its source and date. Read /methodology.

What does preference Elo mean on this page?

Preference Elo is a crowd vote from LMArena / Arena. People see two hidden answers and pick the one they like more. The model that wins more often gets a higher Elo. That means people preferred it — not that it passed a school test. It is not SWE-bench, not accuracy, and not a number we invent. Google: Gemini 3.1 Flash Lite and Kimi K3 Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Swap or Add Any Model to this Matchup

Interactive Comparison Diagram

Tug-of-War Matchup Matrix

Intelligence & Reasoning

Speed & Latency

Pricing & Capacity

Multi-Dimensional Capability Radar

No shared data

No shared data

Google: Gemini 3.1 Flash Lite

Full Benchmark Score Matrix

Workload Cost & Savings Calculator

Key Selection Recommendations

Recommended Workload Routing

Related Editorial Dispatches & Benchmark Notes

Kimi K3: Moonshot’s long-context open-weight competitive row

Cast Your Matchup Vote

Community Discussions (0)

Share card

CompareLLM Matrix

Google: Gemini 3.1 Flash Lite

Kimi K3

Frequently Asked Questions

Related news

Similar Head-to-Head Comparisons

Swap or Add Any Model to this Matchup

Interactive Comparison Diagram

Tug-of-War Matchup Matrix

Intelligence & Reasoning

Speed & Latency

Pricing & Capacity

Multi-Dimensional Capability Radar

No shared data

No shared data

Google: Gemini 3.1 Flash Lite

Full Benchmark Score Matrix

Workload Cost & Savings Calculator

Key Selection Recommendations

Recommended Workload Routing

Related Editorial Dispatches & Benchmark Notes

Kimi K3: Moonshot’s long-context open-weight competitive row

Cast Your Matchup Vote

Community Discussions (0)

Share card

CompareLLM Matrix

Google: Gemini 3.1 Flash Lite

Kimi K3

Frequently Asked Questions

Related news

Similar Head-to-Head Comparisons