CompareLLM
CompareLLM.ai
Live
LeaderboardModelsCompareStacksBest ofGuidesNewsMethod
…
CompareLLM
CompareLLM.ai
Precision Benchmarks

Programmatic, dated AI model benchmarks, head-to-head comparisons, and Stack Engine presets.

Daily ingest · 06:00 UTC

Analytics & Benchmarks

  • AI Model Leaderboard
  • Head-to-Head Compare Hub
  • Models Directory
  • Stack Engine Presets
  • Frontier Models
  • Open Weights Catalog

Guides & Intent Lists

  • Best LLM Lists (2026)
  • Best Coding LLM
  • Best Cheap LLM
  • Fastest Low-Latency LLM
  • Claude vs GPT Benchmark
  • What is Elo?
  • Methodology Guides
  • News & Dispatches

Transparency & API

  • Evaluation Methodology
  • Benchmark Changelog
  • Public JSON API
  • llms.txt Specification
  • Privacy Policy
  • Sign In / Account

© 2026 CompareLLM. Public benchmark data aggregated from Arena Elo, LiveBench, SWE-bench & OpenRouter.

Every score has a dated snapshot.

  1. Home
  2. Comparisons
  3. Gemini 2.5 Flash vs MoonshotAI: Kimi K2 0711

Pairwise benchmark snapshot · Aug 16, 2026

Gemini 2.5 Flash vs MoonshotAI: Kimi K2 0711 benchmark

This page compares Gemini 2.5 Flash (Google) and MoonshotAI: Kimi K2 0711 (Moonshot) using the latest snapshots we have as of Aug 16, 2026. On preference Elo, MoonshotAI: Kimi K2 0711 is ahead by 170 points (1,465 vs 1,295; seed-bootstrap (Aug 1, 2026)). On SWE-bench coding, MoonshotAI: Kimi K2 0711 resolves 65.8% versus 48% (seed-bootstrap (Aug 1, 2026)). Gemini 2.5 Flash streams faster (185 tok/s) while MoonshotAI: Kimi K2 0711 is the cheaper output token ($2.3/1M). Gemini 2.5 Flash 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.

Quick answer

Gemini 2.5 Flash vs MoonshotAI: Kimi K2 0711 is a dated snapshot, not a lab score. MoonshotAI: Kimi K2 0711 leads preference Elo (1,465 vs 1,295). MoonshotAI: Kimi K2 0711 leads SWE-bench coding. MoonshotAI: Kimi K2 0711 is the cheaper output token. Elo is crowd preference, not an exam. Pick the column that matches the job.
Share Analysis:
WhatsAppTelegramX / PostLinkedInReddit

Google

Gemini 2.5 Flash

Previous Google speed workhorse.

Elo 1,295$2.5/1M out

Moonshot

MoonshotAI: Kimi K2 0711

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

Elo 1,465$2.3/1M out

Swap or Add Any Model to this Matchup

Instant pairwise benchmark recalculation across 400+ LLMs

Model A
Model B
Quick vs:vs Claude Opus 4.5vs Claude Opus 4.6vs Claude Sonnet 4.5vs Claude 3.7 Sonnet

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Gemini 2.5 Flash (4)vsMoonshotAI: Kimi K2 0711 (6)
Gemini 2.5 Flash: 4W (40%)Overall: MoonshotAI: Kimi K2 0711MoonshotAI: Kimi K2 0711: 6W (60%)
← Gemini 2.5 FlashMoonshotAI: Kimi K2 0711 →
MoonshotAI: Kimi K2 0711 (5/5)

Intelligence & Reasoning

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

Preference Elo
1,295vs1,465
Coding Elo
—vs1,470
SWE-bench
48%vs65.8%
LiveBench
51.4%vs62.8%
GPQA Diamond
68.2%vs76.5%
Gemini 2.5 Flash: 0WMoonshotAI: Kimi K2 0711: 5W
Gemini 2.5 Flash (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed
185 tok/svs85 tok/s
Time to first token
110 msvs240 ms
Gemini 2.5 Flash: 2WMoonshotAI: Kimi K2 0711: 0W
Gemini 2.5 Flash (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price
$2.5/1Mvs$2.3/1M
Input price
$0.3/1Mvs$0.57/1M
Context window
1Mvs131k
Gemini 2.5 Flash: 2WMoonshotAI: Kimi K2 0711: 1W
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
Preference Elo

MoonshotAI: Kimi K2 0711

170 pts advantage

Throughput Speed

Gemini 2.5 Flash

100 tok/s faster

Price Efficiency

MoonshotAI: Kimi K2 0711

$0.20/1M cheaper

Full Benchmark Score Matrix

—
Elo
High is better
1,295
EloHigh is better
1,465+13%
Code Elo
High is better
—
Code EloHigh is better
1,470
LiveBench
High is better
51.4%
LiveBenchHigh is better
62.8%+22%
SWE-bench
High is better
48%
SWE-benchHigh is better
65.8%+37%
GPQA
High is better
68.2%
GPQAHigh is better
76.5%+12%
TTFT
Low is better
+118%110 ms
TTFTLow is better
240 ms
Speed
High is better
+118%185 tok/s
SpeedHigh is better
85 tok/s
In $
Low is better
+90%$0.3/1M
In $Low is better
$0.57/1M
Out $
Low is better
$2.5/1M
Out $Low is better
$2.3/1M+9%
Context
High is better
+700%1M
ContextHigh is better
131k
Interactive Simulator

Workload Cost & Savings Calculator

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

Save up to 12% with Gemini 2.5 Flash
Monthly Volume50M tokens/mo
Quick Presets:
Token Ratio (In vs Out)70% In / 30% Out
RAG / Search (10% out)Coding / Chat (50% out)
Gemini 2.5 Flash$48.00 / mo
In: $10.50Out: $37.50
MoonshotAI: Kimi K2 0711$54.45 / mo
In: $19.95Out: $34.50
Estimated Cost Delta

Gemini 2.5 Flash is estimated to save $6.45/month ($77/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

  • 1
    MoonshotAI: Kimi K2 0711:Pick MoonshotAI: Kimi K2 0711 when repo-level coding accuracy is the constraint.
  • 2
    Gemini 2.5 Flash:Pick Gemini 2.5 Flash when time-to-first-token matters more than peak Elo.
  • 3
    Gemini 2.5 Flash:Pick Gemini 2.5 Flash for million-token RAG or long-document jobs.

Recommended Workload Routing

Repo / coding agentsMoonshotAI: Kimi K2 0711

Higher SWE-bench (65.8%).

High-volume chatMoonshotAI: Kimi K2 0711

Lower output list price ($2.3/1M).

Voice / low-latency UIGemini 2.5 Flash

Lower TTFT (110 ms).

Long-document RAGGemini 2.5 Flash

Larger window (1M).

Screenshots / visionMoonshotAI: Kimi K2 0711

Both accept images. Defaulting to the higher-Elo side (MoonshotAI: Kimi K2 0711).

Target WorkloadRecommended PickEvaluation Rationale
Repo / coding agentsMoonshotAI: Kimi K2 0711Higher SWE-bench (65.8%).
High-volume chatMoonshotAI: Kimi K2 0711Lower output list price ($2.3/1M).
Voice / low-latency UIGemini 2.5 FlashLower TTFT (110 ms).
Long-document RAGGemini 2.5 FlashLarger window (1M).
Screenshots / visionMoonshotAI: Kimi K2 0711Both accept images. Defaulting to the higher-Elo side (MoonshotAI: Kimi K2 0711).

Related Editorial Dispatches & Benchmark Notes

View all news
launchMar 25, 2025

Gemini 2.5 Flash: previous Google speed workhorse, still a baseline

Useful as a cheap historical compare. 3.7 Flash is the 2026 volume SKU.

Community Sentiment

Cast Your Matchup Vote

0 total votes

Community Discussions (0)

Sign in to cast your verified vote, bookmark models, and participate in benchmark discussions.Sign In to Post

No comments posted on this matchup yet. Be the first to share an evaluation note!

Share card

The real PNG is generated at /compare/gemini-2-5-flash-vs-kimi-k2/opengraph-image for crawlers.

PNG

CompareLLM Matrix

Verified head-to-head card

LIVE
VS
Google

Gemini 2.5 Flash

Elo 1,295
LiveBench51.4%
SWE-bench48%
Speed185 tok/s
Output cost$2.5/1M
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, Gemini 2.5 Flash or MoonshotAI: Kimi K2 0711?
MoonshotAI: Kimi K2 0711 has the higher preference Elo in our latest snapshot (1,465). “Better” still depends on coding, price, and latency — see the table.
Which is better at coding, Gemini 2.5 Flash or MoonshotAI: Kimi K2 0711?
MoonshotAI: Kimi K2 0711 leads SWE-bench at 65.8% vs 48%. SWE-bench is one harness, not your repo.
Which is cheaper to run in production?
MoonshotAI: Kimi K2 0711 output tokens are $2.3/1M versus $2.5/1M. Input prices and retry rates still move the real bill.
Which is faster, Gemini 2.5 Flash or MoonshotAI: Kimi K2 0711?
Gemini 2.5 Flash has the lower time-to-first-token (110 ms vs 240 ms). Tokens/sec is a separate column if you care about long completions.
Which has the larger context window?
Gemini 2.5 Flash 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. Gemini 2.5 Flash and MoonshotAI: Kimi K2 0711 Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Related news

  • launch · Mar 25, 2025

    Gemini 2.5 Flash: previous Google speed workhorse, still a baseline

Similar Head-to-Head Comparisons

All Gemini 2.5 Flash matchups →|All MoonshotAI: Kimi K2 0711 matchups →
Gemini 2.5 Flash vs Gemini 2.0 Flash Thinking (previous gemini-flash)Gemini 2.5 Flash vs Gemini 3 Flash (next gemini-flash)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 0711