Pairwise benchmark snapshot · Aug 17, 2026

MoonshotAI: Kimi K2 0711 vs Yi-Large benchmark

Name: MoonshotAI: Kimi K2 0711 vs Yi-Large AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares MoonshotAI: Kimi K2 0711 (Moonshot) and Yi-Large (01.AI) using the latest snapshots we have as of Aug 17, 2026. On preference Elo, MoonshotAI: Kimi K2 0711 is ahead by 35 points (1,465 vs 1,430; lmarena (Aug 17, 2026)). On SWE-bench coding, MoonshotAI: Kimi K2 0711 resolves 65.8% versus 53.8% (swebench (Aug 17, 2026)). Yi-Large streams faster (90 tok/s) while Yi-Large is the cheaper output token ($0.3/1M). MoonshotAI: Kimi K2 0711 has the larger context window (131k 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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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

01.AI

Yi-Large

01.AI full-scale dense model for complex instruction following.

Elo 1,430$0.3/1M out

Model Lineage & Multi-Tier Derivatives🇨🇳 CN Frontier

Kimi Series Family (4 models)

Compare vs Base (Kimi K3)

Kimi K3

Moonshot

Flagship Base

CoT Scaler

Elo

1528

Speed

68 tok/s

Price

$15.00 / 1M

View model →vs this

MoonshotAI: Kimi K2.5

Moonshot

K2.5 Max

CoT Scaler

Elo

1515

Speed

72 tok/s

Price

$2.85 / 1M

-13 Elo-81% cost1.1x speed

View model →vs this

MoonshotAI: Kimi K2 0711

Moonshot

K2 Base

Elo

1465

Speed

85 tok/s

Price

$2.30 / 1M

-63 Elo-85% cost1.3x speed

Viewing now

Kimi Chat 1.5

Moonshot

2M Context

Elo

1420

Speed

95 tok/s

Price

$0.80 / 1M

-108 Elo-95% cost1.4x speed

View model →vs this

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Instant pairwise benchmark recalculation across 400+ LLMs

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.

MoonshotAI: Kimi K2 0711 (6)vsYi-Large (4)

MoonshotAI: Kimi K2 0711: 6W (60%)Overall: MoonshotAI: Kimi K2 0711Yi-Large: 4W (40%)

← MoonshotAI: Kimi K2 0711Yi-Large →

MoonshotAI: Kimi K2 0711 (5/5)

Intelligence & Reasoning

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

Preference Elo

1,465vs1,430

Coding Elo

1,470vs1,410

SWE-bench

65.8%vs53.8%

LiveBench

62.8%vs60.5%

GPQA Diamond

76.5%vs72.4%

MoonshotAI: Kimi K2 0711: 5WYi-Large: 0W

Yi-Large (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

85 tok/svs90 tok/s

Time to first token

240 msvs220 ms

MoonshotAI: Kimi K2 0711: 0WYi-Large: 2W

Yi-Large (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$2.3/1Mvs$0.3/1M

Input price

$0.57/1Mvs$0.3/1M

Context window

131kvs33k

MoonshotAI: Kimi K2 0711: 1WYi-Large: 2W

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

35 pts advantage

Throughput Speed

Yi-Large

5 tok/s faster

Token Price Efficiency

Yi-Large

$2.00/1M cheaper

Full Benchmark Score Matrix

—

Elo

High is better

+2%1,465

EloHigh is better

1,430

Code Elo

High is better

+4%1,470

Code EloHigh is better

1,410

LiveBench

High is better

+4%62.8%

LiveBenchHigh is better

60.5%

SWE-bench

High is better

+22%65.8%

SWE-benchHigh is better

53.8%

GPQA

High is better

+6%76.5%

GPQAHigh is better

72.4%

TTFT

Low is better

240 ms

TTFTLow is better

220 ms+9%

Speed

High is better

85 tok/s

SpeedHigh is better

90 tok/s+6%

In $

Low is better

$0.57 / 1M

In $Low is better

$0.30 / 1M+90%

Out $

Low is better

$2.30 / 1M

Out $Low is better

$0.30 / 1M+667%

Context

High is better

+300%131k

ContextHigh is better

33k

Interactive Simulator (USD)

Workload Cost & Savings Calculator

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

Save up to 72% with Yi-Large

Monthly Volume50M tokens/mo

Quick Presets:

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

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

MoonshotAI: Kimi K2 0711$54.45 / mo

In: $19.95Out: $34.5

Yi-Large$15.00 / mo

In: $10.5Out: $4.5

Estimated Cost Delta

Yi-Large is estimated to save $39.45/month ($473/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
Yi-Large:Pick Yi-Large when you are optimizing output cost.
3
Yi-Large:Pick Yi-Large when time-to-first-token matters more than peak Elo.

Recommended Workload Routing

Repo / coding agentsMoonshotAI: Kimi K2 0711

Higher SWE-bench (65.8%).

High-volume chatYi-Large

Lower output list price ($0.3/1M).

Voice / low-latency UIYi-Large

Lower TTFT (220 ms).

Long-document RAGMoonshotAI: Kimi K2 0711

Larger window (131k).

Screenshots / visionMoonshotAI: Kimi K2 0711

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

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	MoonshotAI: Kimi K2 0711	Higher SWE-bench (65.8%).
High-volume chat	Yi-Large	Lower output list price ($0.3/1M).
Voice / low-latency UI	Yi-Large	Lower TTFT (220 ms).
Long-document RAG	MoonshotAI: Kimi K2 0711	Larger window (131k).
Screenshots / vision	MoonshotAI: Kimi K2 0711	MoonshotAI: Kimi K2 0711 is the side marked multimodal in the catalog.

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CompareLLM Matrix

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LIVE

Moonshot

MoonshotAI: Kimi K2 0711

Elo 1,465

LiveBench62.8%

SWE-bench65.8%

Speed85 tok/s

Output cost$2.3/1M

01.AI

Yi-Large

Elo 1,430

LiveBench60.5%

SWE-bench53.8%

Speed90 tok/s

Output cost$0.3/1M

Frequently Asked Questions

Which is better overall, MoonshotAI: Kimi K2 0711 or Yi-Large?: 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, MoonshotAI: Kimi K2 0711 or Yi-Large?: MoonshotAI: Kimi K2 0711 leads SWE-bench at 65.8% vs 53.8%. SWE-bench is one harness, not your repo.
Which is cheaper to run in production?: Yi-Large output tokens are $0.3/1M versus $2.3/1M. Input prices and retry rates still move the real bill.
Which is faster, MoonshotAI: Kimi K2 0711 or Yi-Large?: Yi-Large has the lower time-to-first-token (220 ms vs 240 ms). Tokens/sec is a separate column if you care about long completions.
Which has the larger context window?: MoonshotAI: Kimi K2 0711 accepts 131k tokens versus 33k.
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. MoonshotAI: Kimi K2 0711 and Yi-Large Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All MoonshotAI: Kimi K2 0711 matchups →|All Yi-Large matchups →

MoonshotAI: Kimi K2 0711 vs Kimi Chat 1.5 (previous kimi)MoonshotAI: Kimi K2 0711 vs MoonshotAI: Kimi K2.5 (next kimi)Yi-Large vs Yi-Lightning (next other)Yi-Lightning vs MoonshotAI: Kimi K2 0711 Kimi K3 vs MoonshotAI: Kimi K2 0711 Kimi Chat 1.5 vs Yi-Large

MoonshotAI: Kimi K2 0711 vs Yi-Large benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

MoonshotAI: Kimi K2 0711 (6)vsYi-Large (4)

MoonshotAI: Kimi K2 0711: 6W (60%)Overall: MoonshotAI: Kimi K2 0711Yi-Large: 4W (40%)

← MoonshotAI: Kimi K2 0711Yi-Large →

MoonshotAI: Kimi K2 0711 (5/5)

Intelligence & Reasoning

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

Preference Elo

1,465vs1,430

Coding Elo

1,470vs1,410

SWE-bench

65.8%vs53.8%

LiveBench

62.8%vs60.5%

GPQA Diamond

76.5%vs72.4%

MoonshotAI: Kimi K2 0711: 5WYi-Large: 0W

Yi-Large (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

85 tok/svs90 tok/s

Time to first token

240 msvs220 ms

MoonshotAI: Kimi K2 0711: 0WYi-Large: 2W

Yi-Large (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$2.3/1Mvs$0.3/1M

Input price

$0.57/1Mvs$0.3/1M

Context window

131kvs33k

MoonshotAI: Kimi K2 0711: 1WYi-Large: 2W

Recommended Workload Routing

Repo / coding agentsMoonshotAI: Kimi K2 0711

Higher SWE-bench (65.8%).

High-volume chatYi-Large

Lower output list price ($0.3/1M).

Voice / low-latency UIYi-Large

Lower TTFT (220 ms).

Long-document RAGMoonshotAI: Kimi K2 0711

Larger window (131k).

Screenshots / visionMoonshotAI: Kimi K2 0711

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

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	MoonshotAI: Kimi K2 0711	Higher SWE-bench (65.8%).
High-volume chat	Yi-Large	Lower output list price ($0.3/1M).
Voice / low-latency UI	Yi-Large	Lower TTFT (220 ms).
Long-document RAG	MoonshotAI: Kimi K2 0711	Larger window (131k).
Screenshots / vision	MoonshotAI: Kimi K2 0711	MoonshotAI: Kimi K2 0711 is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, MoonshotAI: Kimi K2 0711 or Yi-Large?

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, MoonshotAI: Kimi K2 0711 or Yi-Large?

MoonshotAI: Kimi K2 0711 leads SWE-bench at 65.8% vs 53.8%. SWE-bench is one harness, not your repo.

Which is cheaper to run in production?

Yi-Large output tokens are $0.3/1M versus $2.3/1M. Input prices and retry rates still move the real bill.

Which is faster, MoonshotAI: Kimi K2 0711 or Yi-Large?

Yi-Large has the lower time-to-first-token (220 ms vs 240 ms). Tokens/sec is a separate column if you care about long completions.

Which has the larger context window?

MoonshotAI: Kimi K2 0711 accepts 131k tokens versus 33k.

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. MoonshotAI: Kimi K2 0711 and Yi-Large Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.