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Every score has a dated snapshot.

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  3. Google: Gemini 3.1 Flash Lite (batch) vs MoonshotAI: Kimi K2 0711

Pairwise benchmark snapshot · Aug 17, 2026noindex (thin pair)

Google: Gemini 3.1 Flash Lite (batch) vs MoonshotAI: Kimi K2 0711 benchmark

In this head-to-head showdown, Google: Gemini 3.1 Flash Lite (batch) is more budget-friendly at $0.75/1M per 1M output tokens. Review the complete breakdown below to determine which model best fits your performance and budget requirements.

Executive Comparison Verdict

Bottom Line: Both Google: Gemini 3.1 Flash Lite (batch) and MoonshotAI: Kimi K2 0711 present distinct architectural strengths. Compare the verified benchmark matrix below to choose the model tailored to your specific application requirements.
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Google
Google: Gemini 3.1 Flash Lite (batch)

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

$0.75/1M out
Moonshot
MoonshotAI: Kimi K2 0711

Auto-discovered from OpenRouter (moonshotai/kimi-k2). Preview until a second source matches.

K2 BaseElo 1,465$2.3/1M out
Top Rival Showdowns for Google: Gemini 3.1 Flash Lite (batch)
All Matchups
Compare vs:vs Claude Opus 4.5vs GPT-5vs Grok 4.6vs DeepSeek V4 Provs Qwen 3 Max
Preference Leader

No shared data

Single model data

Throughput Leader

No shared data

No latency data

Value per Dollar Leader

Google: Gemini 3.1 Flash Lite (batch)

$0.75 / 1M output

Capability Percentiles

Relative percentile scores computed across all active models in the benchmark catalog.

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 AdvantageMoonshotAI: Kimi K2 0711 4/6
Head-to-Head Comparison

Overall Matchup Breakdown

Category wins across reasoning intelligence, generation speed, and token cost.

Google: Gemini 3.1 Flash Lite (batch) (3)vsMoonshotAI: Kimi K2 0711 (7)
Google: Gemini 3.1 Flash Lite (batch): 3W (30%)Overall: MoonshotAI: Kimi K2 0711MoonshotAI: Kimi K2 0711: 7W (70%)
← Google: Gemini 3.1 Flash Lite (batch)MoonshotAI: Kimi K2 0711 →
MoonshotAI: Kimi K2 0711 (5/5)

Intelligence & Reasoning

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

Preference Elo
—vs1,465
Coding Elo
—vs1,470
SWE-bench
—vs65.8%
LiveBench
—vs62.8%
GPQA Diamond
—vs76.5%
Google: Gemini 3.1 Flash Lite (batch): 0WMoonshotAI: Kimi K2 0711: 5W
MoonshotAI: Kimi K2 0711 (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed
—vs85 tok/s
Time to first token
—vs240 ms
Google: Gemini 3.1 Flash Lite (batch): 0WMoonshotAI: Kimi K2 0711: 2W
Google: Gemini 3.1 Flash Lite (batch) (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price
$0.75/1Mvs$2.3/1M
Input price
$0.125/1Mvs$0.57/1M
Context window
1Mvs131k
Google: Gemini 3.1 Flash Lite (batch): 3WMoonshotAI: Kimi K2 0711: 0W

Side-by-Side Benchmark Matrix

Preference Elo
Google: Gemini 3.1 Flash Lite (batch)—
MoonshotAI: Kimi K2 07111,465
lmarena · Aug 17, 2026
Coding Elo
Google: Gemini 3.1 Flash Lite (batch)—
MoonshotAI: Kimi K2 07111,470
lmarena · Aug 17, 2026
LiveBench
Google: Gemini 3.1 Flash Lite (batch)—
MoonshotAI: Kimi K2 071162.8%
livebench · Aug 17, 2026
SWE-bench
Google: Gemini 3.1 Flash Lite (batch)—
MoonshotAI: Kimi K2 071165.8%
swebench · Aug 17, 2026
GPQA Diamond
Google: Gemini 3.1 Flash Lite (batch)—
MoonshotAI: Kimi K2 071176.5%
seed-bootstrap · Aug 1, 2026
Time to first token
Google: Gemini 3.1 Flash Lite (batch)—
MoonshotAI: Kimi K2 0711240 ms
seed-bootstrap · Aug 1, 2026
Output speed
Google: Gemini 3.1 Flash Lite (batch)—
MoonshotAI: Kimi K2 071185 tok/s
seed-bootstrap · Aug 1, 2026
Input priceGoogle: Gemini 3.1 Flash Lite (batch) (+$0.445/1M)
Google: Gemini 3.1 Flash Lite (batch)$0.125/1M
openrouter · Aug 17, 2026
MoonshotAI: Kimi K2 0711$0.57/1M
openrouter · Aug 17, 2026
Output priceGoogle: Gemini 3.1 Flash Lite (batch) (+$1.55/1M)
Google: Gemini 3.1 Flash Lite (batch)$0.75/1M
openrouter · Aug 17, 2026
MoonshotAI: Kimi K2 0711$2.3/1M
openrouter · Aug 17, 2026
Context windowGoogle: Gemini 3.1 Flash Lite (batch) (+918k)
Google: Gemini 3.1 Flash Lite (batch)1M
openrouter · Aug 17, 2026
MoonshotAI: Kimi K2 0711131k
openrouter · Aug 17, 2026
BenchmarkGoogle: Gemini 3.1 Flash Lite (batch)MoonshotAI: Kimi K2 0711Advantage Delta
Preference Elo—
1,465
lmarena · Aug 17, 2026
—
Coding Elo—
1,470
lmarena · Aug 17, 2026
—
LiveBench—
62.8%
livebench · Aug 17, 2026
—
SWE-bench—
65.8%
swebench · Aug 17, 2026
—
GPQA Diamond—
76.5%
seed-bootstrap · Aug 1, 2026
—
Time to first token—
240 ms
seed-bootstrap · Aug 1, 2026
—
Output speed—
85 tok/s
seed-bootstrap · Aug 1, 2026
—
Input price
$0.125/1M
openrouter · Aug 17, 2026
$0.57/1M
openrouter · Aug 17, 2026
Google: Gemini 3.1 Flash Lite (batch) (+$0.445/1M)
Output price
$0.75/1M
openrouter · Aug 17, 2026
$2.3/1M
openrouter · Aug 17, 2026
Google: Gemini 3.1 Flash Lite (batch) (+$1.55/1M)
Context window
1M
openrouter · Aug 17, 2026
131k
openrouter · Aug 17, 2026
Google: Gemini 3.1 Flash Lite (batch) (+918k)
Interactive Simulator (USD)

Workload Cost & Savings Calculator

Simulate monthly production API costs in USD (US Dollar).

Save up to 71% with Google: Gemini 3.1 Flash Lite (batch)
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 (batch)$15.63 / mo
In: $4.38Out: $11.25
MoonshotAI: Kimi K2 0711$54.45 / mo
In: $19.95Out: $34.5
Estimated Cost Delta

Google: Gemini 3.1 Flash Lite (batch) is estimated to save $38.83/month ($466/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

  • 1
    Google: Gemini 3.1 Flash Lite (batch):Pick Google: Gemini 3.1 Flash Lite (batch) when you are optimizing output cost.
  • 2
    Google: Gemini 3.1 Flash Lite (batch):Pick Google: Gemini 3.1 Flash Lite (batch) 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 (batch)

Lower output list price ($0.75/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGGoogle: Gemini 3.1 Flash Lite (batch)

Larger window (1M).

Screenshots / visionMoonshotAI: Kimi K2 0711

MoonshotAI: Kimi K2 0711 is the side marked multimodal in the catalog.

Target WorkloadRecommended PickEvaluation Rationale
Repo / coding agentsinsufficient dataNeed SWE-bench on both sides.
High-volume chatGoogle: Gemini 3.1 Flash Lite (batch)Lower output list price ($0.75/1M).
Voice / low-latency UIinsufficient dataNeed TTFT on both sides.
Long-document RAGGoogle: Gemini 3.1 Flash Lite (batch)Larger window (1M).
Screenshots / visionMoonshotAI: Kimi K2 0711MoonshotAI: Kimi K2 0711 is the side marked multimodal in the catalog.
Community Sentiment

Cast Your Matchup Vote

0 total votes

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CompareLLM Matrix

Verified head-to-head card

LIVE
VS
Google

Google: Gemini 3.1 Flash Lite (batch)

Elo n/a
LiveBench—
SWE-bench—
Speed—
Output cost$0.75/1M
Moonshot

MoonshotAI: Kimi K2 0711

Elo 1,465
LiveBench62.8%
SWE-bench65.8%
Speed85 tok/s
Output cost$2.3/1M

Frequently Asked Questions

Which is better overall, Google: Gemini 3.1 Flash Lite (batch) or MoonshotAI: Kimi K2 0711?
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 (batch) or MoonshotAI: Kimi K2 0711?
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 (batch) output tokens are $0.75/1M versus $2.3/1M. Input prices and retry rates still move the real bill.
Which is faster, Google: Gemini 3.1 Flash Lite (batch) or MoonshotAI: Kimi K2 0711?
We do not have TTFT for both models.
Which has the larger context window?
Google: Gemini 3.1 Flash Lite (batch) accepts 1M tokens versus 131k.
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 (batch) and MoonshotAI: Kimi K2 0711 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 (batch) matchups →|All MoonshotAI: Kimi K2 0711 matchups →
MoonshotAI: Kimi K2 0711 vs Kimi Chat 1.5 (previous kimi)MoonshotAI: Kimi K2 0711 vs MoonshotAI: Kimi K2.5 (next kimi)Gemini 3 Pro vs MoonshotAI: Kimi K2 0711Gemini 3 Flash vs MoonshotAI: Kimi K2 0711Kimi K3 vs MoonshotAI: Kimi K2 0711Gemini 2.0 Flash Thinking vs MoonshotAI: Kimi K2 0711