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

Dots Studio: Dots3-Note Preview (free) vs MoonshotAI: Kimi K2 0711 benchmark

Name: Dots Studio: Dots3-Note Preview (free) vs MoonshotAI: Kimi K2 0711 AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares Dots Studio: Dots3-Note Preview (free) (dots-studio) and MoonshotAI: Kimi K2 0711 (Moonshot) using the latest snapshots we have as of Aug 16, 2026. Dots Studio: Dots3-Note Preview (free) wins on output price at $0/1M. Dots Studio: Dots3-Note Preview (free) has the larger context window (512k 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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dots-studio

Dots Studio: Dots3-Note Preview (free)

Auto-discovered from OpenRouter (dots-studio/dots-3-note-preview:free). Preview until a second source matches.

$0/1M 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

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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.

Dots Studio: Dots3-Note Preview (free) (3)vsMoonshotAI: Kimi K2 0711 (7)

Dots Studio: Dots3-Note Preview (free): 3W (30%)Overall: MoonshotAI: Kimi K2 0711MoonshotAI: Kimi K2 0711: 7W (70%)

← Dots Studio: Dots3-Note Preview (free)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%

Dots Studio: Dots3-Note Preview (free): 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

Dots Studio: Dots3-Note Preview (free): 0WMoonshotAI: Kimi K2 0711: 2W

Dots Studio: Dots3-Note Preview (free) (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$0/1Mvs$2.3/1M

Input price

$0/1Mvs$0.57/1M

Context window

512kvs131k

Dots Studio: Dots3-Note Preview (free): 3WMoonshotAI: Kimi K2 0711: 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 AdvantageMoonshotAI: Kimi K2 0711 4/6

Preference Elo

No shared data

Throughput Speed

No shared data

Price Efficiency

Dots Studio: Dots3-Note Preview (free)

$2.30/1M cheaper

Full Benchmark Score Matrix

—

Elo

High is better

—

EloHigh is better

1,465

Code Elo

High is better

—

Code EloHigh is better

1,470

LiveBench

High is better

—

LiveBenchHigh is better

62.8%

SWE-bench

High is better

—

SWE-benchHigh is better

65.8%

GPQA

High is better

—

GPQAHigh is better

76.5%

TTFT

Low is better

—

TTFTLow is better

240 ms

Speed

High is better

—

SpeedHigh is better

85 tok/s

In $

Low is better

$0/1M

In $Low is better

$0.57/1M

Out $

Low is better

$0/1M

Out $Low is better

$2.3/1M

Context

High is better

+291%512k

ContextHigh is better

131k

Key Selection Recommendations

1
Dots Studio: Dots3-Note Preview (free):Pick Dots Studio: Dots3-Note Preview (free) when you are optimizing output cost.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatDots Studio: Dots3-Note Preview (free)

Lower output list price ($0/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGDots Studio: Dots3-Note Preview (free)

Larger window (512k).

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	insufficient data	Need SWE-bench on both sides.
High-volume chat	Dots Studio: Dots3-Note Preview (free)	Lower output list price ($0/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	Dots Studio: Dots3-Note Preview (free)	Larger window (512k).
Screenshots / vision	MoonshotAI: Kimi K2 0711	MoonshotAI: Kimi K2 0711 is the side marked multimodal in the catalog.

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CompareLLM Matrix

Verified head-to-head card

LIVE

dots-studio

Dots Studio: Dots3-Note Preview (free)

Elo n/a

LiveBench—

SWE-bench—

Speed—

Output cost$0/1M

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, Dots Studio: Dots3-Note Preview (free) 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, Dots Studio: Dots3-Note Preview (free) 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?: Dots Studio: Dots3-Note Preview (free) output tokens are $0/1M versus $2.3/1M. Input prices and retry rates still move the real bill.
Which is faster, Dots Studio: Dots3-Note Preview (free) or MoonshotAI: Kimi K2 0711?: We do not have TTFT for both models.
Which has the larger context window?: Dots Studio: Dots3-Note Preview (free) accepts 512k 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. Dots Studio: Dots3-Note Preview (free) 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 Dots Studio: Dots3-Note Preview (free) 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)Kimi K3 vs MoonshotAI: Kimi K2 0711 Claude Opus 4.5 vs MoonshotAI: Kimi K2 0711 Claude Opus 4.6 vs MoonshotAI: Kimi K2 0711 Claude Sonnet 4.5 vs MoonshotAI: Kimi K2 0711

Dots Studio: Dots3-Note Preview (free) vs MoonshotAI: Kimi K2 0711 benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Dots Studio: Dots3-Note Preview (free) (3)vsMoonshotAI: Kimi K2 0711 (7)

Dots Studio: Dots3-Note Preview (free): 3W (30%)Overall: MoonshotAI: Kimi K2 0711MoonshotAI: Kimi K2 0711: 7W (70%)

← Dots Studio: Dots3-Note Preview (free)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%

Dots Studio: Dots3-Note Preview (free): 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

Dots Studio: Dots3-Note Preview (free): 0WMoonshotAI: Kimi K2 0711: 2W

Dots Studio: Dots3-Note Preview (free) (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$0/1Mvs$2.3/1M

Input price

$0/1Mvs$0.57/1M

Context window

512kvs131k

Dots Studio: Dots3-Note Preview (free): 3WMoonshotAI: Kimi K2 0711: 0W

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatDots Studio: Dots3-Note Preview (free)

Lower output list price ($0/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGDots Studio: Dots3-Note Preview (free)

Larger window (512k).

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	insufficient data	Need SWE-bench on both sides.
High-volume chat	Dots Studio: Dots3-Note Preview (free)	Lower output list price ($0/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	Dots Studio: Dots3-Note Preview (free)	Larger window (512k).
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, Dots Studio: Dots3-Note Preview (free) 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, Dots Studio: Dots3-Note Preview (free) 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?

Dots Studio: Dots3-Note Preview (free) output tokens are $0/1M versus $2.3/1M. Input prices and retry rates still move the real bill.

Which is faster, Dots Studio: Dots3-Note Preview (free) or MoonshotAI: Kimi K2 0711?

We do not have TTFT for both models.

Which has the larger context window?

Dots Studio: Dots3-Note Preview (free) accepts 512k 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. Dots Studio: Dots3-Note Preview (free) and MoonshotAI: Kimi K2 0711 Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.