CompareLLM
CompareLLM.ai
Live
Leaderboard
Quality & Reasoning
Overall Arena EloPrimary

LMSYS crowd human preference ranking

Coding Elo & SWE-benchCode

Real GitHub issue software solve rate

LiveBench Reasoning

Contamination-free automated tests

GPQA Diamond

PhD-level science & domain knowledge

Speed & Token Cost
Throughput (tok/s)Speed

Output generation token rate

Time to First Token (TTFT)

Response latency for voice & chat loops

Output Price ($/1M tokens)

Cost per million generated tokens

Live Pareto Frontier Scatter

Quality vs Cost efficiency boundary

Models
Model Classes
Frontier ModelsProprietary

Opus 4.5, GPT-5, Gemini 2.0 Pro

Open-Weight CatalogApache/MIT

Llama 3.3, DeepSeek, Qwen 2.5

🇨🇳 Chinese LLMsCN

DeepSeek V3, Qwen, GLM-5, MiniMax

Browse All 40+ Models
Top Providers
Anthropic

Claude Opus 4.5, Sonnet 4.5, Haiku

OpenAI

GPT-5, GPT-4.5, GPT-4o, o3

DeepSeek

DeepSeek V3, R1 Reasoning

Google

Gemini 2.0 Pro, Flash, Thinking

Compare
Popular Head-to-Head ShowdownsView all 48+ pairs →
🇨🇳 DeepSeek V3 vs 🇺🇸 GPT-5

East vs West frontier battle

Sonnet 4.5 vs 🇨🇳 DeepSeek V3

Everyday developer favorite

🇨🇳 Qwen 2.5 vs 🇺🇸 Llama 3.3

Open-weights value clash

Claude Opus 4.5 vs GPT-5

Flagship proprietary duel

Open Interactive Comparison Matrix
Best of & Stacks
Best LLM Lists (2026)
Best Coding LLM

SWE-bench verified repository tests

Best Cheap LLM

Sub-$1/1M token value powerhouses

Fastest Low-Latency LLM

Sub-200ms TTFT for voice & live chat

Claude vs GPT Benchmark

Anthropic vs OpenAI head-to-head

Stack Engine Presets
Cheap Coding Agents

Budget repo bots with high SWE-bench

Lowest-Latency Chat

Fast interactive support loops

Open-Weight Reasoning

Self-hostable reasoning power

Explore All 11 Presets
Research & News
Intelligence & Telemetry
News & Benchmark BriefingsDispatches

Verified model promotions & price shifts

Hourly Benchmark ChangelogLive

Dated ingest audit trail with exact diffs

Evaluation Methodology

Standardized scoring formulas & harnesses

What is Arena Elo?

Understanding blind pairwise human ratings

…
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. Grok 3 vs MoonshotAI: Kimi K2.7 Code

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

Grok 3 vs MoonshotAI: Kimi K2.7 Code benchmark

This page compares Grok 3 (xAI) and MoonshotAI: Kimi K2.7 Code (Moonshot) using the latest snapshots we have as of Aug 17, 2026. MoonshotAI: Kimi K2.7 Code wins on output price at $3.5/1M. MoonshotAI: Kimi K2.7 Code has the larger context window (262k 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

Grok 3 vs MoonshotAI: Kimi K2.7 Code is a dated snapshot, not a lab score. MoonshotAI: Kimi K2.7 Code is the cheaper output token. Elo is crowd preference, not an exam. Pick the column that matches the job.
Share Analysis:
WhatsAppTelegramX / PostLinkedInReddit

xAI

Grok 3

Previous xAI generation before Grok 4. Kept for grok 3 vs grok 4.

Elo 1,405$15/1M out

Moonshot

MoonshotAI: Kimi K2.7 Code

Auto-discovered from OpenRouter (moonshotai/kimi-k2.7-code). Preview until a second source matches.

$3.5/1M 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.

Grok 3 (6)vsMoonshotAI: Kimi K2.7 Code (3)
Grok 3: 6W (67%)Overall: Grok 3MoonshotAI: Kimi K2.7 Code: 3W (33%)
← Grok 3MoonshotAI: Kimi K2.7 Code →
Grok 3 (4/5)

Intelligence & Reasoning

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

Preference Elo
1,405vs—
Coding Elo
—vs—
SWE-bench
51.4%vs—
LiveBench
60.2%vs—
GPQA Diamond
74.2%vs—
Grok 3: 4WMoonshotAI: Kimi K2.7 Code: 0W
Grok 3 (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed
88 tok/svs—
Time to first token
250 msvs—
Grok 3: 2WMoonshotAI: Kimi K2.7 Code: 0W
MoonshotAI: Kimi K2.7 Code (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price
$15/1Mvs$3.5/1M
Input price
$3/1Mvs$0.71/1M
Context window
131kvs262k
Grok 3: 0WMoonshotAI: Kimi K2.7 Code: 3W
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 AdvantageGrok 3 4/6
Preference Elo

No shared data

No shared data

Throughput Speed

No shared data

No shared data

Price Efficiency

MoonshotAI: Kimi K2.7 Code

$11.50/1M cheaper

Full Benchmark Score Matrix

—
Elo
High is better
1,405
EloHigh is better
—
LiveBench
High is better
60.2%
LiveBenchHigh is better
—
SWE-bench
High is better
51.4%
SWE-benchHigh is better
—
GPQA
High is better
74.2%
GPQAHigh is better
—
TTFT
Low is better
250 ms
TTFTLow is better
—
Speed
High is better
88 tok/s
SpeedHigh is better
—
In $
Low is better
$3/1M
In $Low is better
$0.71/1M+323%
Out $
Low is better
$15/1M
Out $Low is better
$3.5/1M+329%
Context
High is better
131k
ContextHigh is better
262k+100%
Interactive Simulator

Workload Cost & Savings Calculator

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

Save up to 77% with MoonshotAI: Kimi K2.7 Code
Monthly Volume50M tokens/mo
Quick Presets:
Token Ratio (In vs Out)70% In / 30% Out
RAG / Search (10% out)Coding / Chat (50% out)
Grok 3$330.00 / mo
In: $105.00Out: $225.00
MoonshotAI: Kimi K2.7 Code$77.35 / mo
In: $24.85Out: $52.50
Estimated Cost Delta

MoonshotAI: Kimi K2.7 Code is estimated to save $252.65/month ($3,032/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

  • 1
    MoonshotAI: Kimi K2.7 Code:Pick MoonshotAI: Kimi K2.7 Code when you are optimizing output cost.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatMoonshotAI: Kimi K2.7 Code

Lower output list price ($3.5/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGMoonshotAI: Kimi K2.7 Code

Larger window (262k).

Screenshots / visionGrok 3

Grok 3 is the side marked multimodal in the catalog.

Target WorkloadRecommended PickEvaluation Rationale
Repo / coding agentsinsufficient dataNeed SWE-bench on both sides.
High-volume chatMoonshotAI: Kimi K2.7 CodeLower output list price ($3.5/1M).
Voice / low-latency UIinsufficient dataNeed TTFT on both sides.
Long-document RAGMoonshotAI: Kimi K2.7 CodeLarger window (262k).
Screenshots / visionGrok 3Grok 3 is the side marked multimodal in the catalog.
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/grok-3-vs-kimi-k2-7-code/opengraph-image for crawlers.

PNG

CompareLLM Matrix

Verified head-to-head card

LIVE
VS
xAI

Grok 3

Elo 1,405
LiveBench60.2%
SWE-bench51.4%
Speed88 tok/s
Output cost$15/1M
Moonshot

MoonshotAI: Kimi K2.7 Code

Elo n/a
LiveBench—
SWE-bench—
Speed—
Output cost$3.5/1M

Frequently Asked Questions

Which is better overall, Grok 3 or MoonshotAI: Kimi K2.7 Code?
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, Grok 3 or MoonshotAI: Kimi K2.7 Code?
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?
MoonshotAI: Kimi K2.7 Code output tokens are $3.5/1M versus $15/1M. Input prices and retry rates still move the real bill.
Which is faster, Grok 3 or MoonshotAI: Kimi K2.7 Code?
We do not have TTFT for both models.
Which has the larger context window?
MoonshotAI: Kimi K2.7 Code accepts 262k 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. Grok 3 and MoonshotAI: Kimi K2.7 Code Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All Grok 3 matchups →|All MoonshotAI: Kimi K2.7 Code matchups →
Grok 3 vs Grok 4 (next grok)Kimi K3 vs Grok 3Grok 4.6 vs Grok 3Kimi Chat 1.5 vs Grok 3MoonshotAI: Kimi K2 0711 vs Grok 3MoonshotAI: Kimi K2.5 vs Grok 3