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

MoonshotAI: Kimi K2 0711 vs Qwen: Qwen3 Coder Flash benchmark

Name: MoonshotAI: Kimi K2 0711 vs Qwen: Qwen3 Coder Flash AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares MoonshotAI: Kimi K2 0711 (Moonshot) and Qwen: Qwen3 Coder Flash (Alibaba) using the latest snapshots we have as of Aug 17, 2026. Qwen: Qwen3 Coder Flash wins on output price at $0.98/1M. Qwen: Qwen3 Coder 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.

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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

Alibaba

Qwen: Qwen3 Coder Flash

Auto-discovered from OpenRouter (qwen/qwen3-coder-flash). Preview until a second source matches.

$0.975/1M out

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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 (7)vsQwen: Qwen3 Coder Flash (3)

MoonshotAI: Kimi K2 0711: 7W (70%)Overall: MoonshotAI: Kimi K2 0711Qwen: Qwen3 Coder Flash: 3W (30%)

← MoonshotAI: Kimi K2 0711Qwen: Qwen3 Coder Flash →

MoonshotAI: Kimi K2 0711 (5/5)

Intelligence & Reasoning

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

Preference Elo

1,465vs—

Coding Elo

1,470vs—

SWE-bench

65.8%vs—

LiveBench

62.8%vs—

GPQA Diamond

76.5%vs—

MoonshotAI: Kimi K2 0711: 5WQwen: Qwen3 Coder Flash: 0W

MoonshotAI: Kimi K2 0711 (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

85 tok/svs—

Time to first token

240 msvs—

MoonshotAI: Kimi K2 0711: 2WQwen: Qwen3 Coder Flash: 0W

Qwen: Qwen3 Coder Flash (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$2.3/1Mvs$0.98/1M

Input price

$0.57/1Mvs$0.2/1M

Context window

131kvs1M

MoonshotAI: Kimi K2 0711: 0WQwen: Qwen3 Coder Flash: 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 AdvantageMoonshotAI: Kimi K2 0711 4/6

Preference Elo

No shared data

Throughput Speed

No shared data

Price Efficiency

Qwen: Qwen3 Coder Flash

$1.32/1M cheaper

Full Benchmark Score Matrix

—

Elo

High is better

1,465

EloHigh is better

—

Code Elo

High is better

1,470

Code EloHigh is better

—

LiveBench

High is better

62.8%

LiveBenchHigh is better

—

SWE-bench

High is better

65.8%

SWE-benchHigh is better

—

GPQA

High is better

76.5%

GPQAHigh is better

—

TTFT

Low is better

240 ms

TTFTLow is better

—

Speed

High is better

85 tok/s

SpeedHigh is better

—

In $

Low is better

$0.57/1M

In $Low is better

$0.2/1M+192%

Out $

Low is better

$2.3/1M

Out $Low is better

$0.98/1M+136%

Context

High is better

131k

ContextHigh is better

1M+663%

Interactive Simulator

Workload Cost & Savings Calculator

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

Save up to 61% with Qwen: Qwen3 Coder Flash

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: $34.50

Qwen: Qwen3 Coder Flash$21.45 / mo

In: $6.83Out: $14.63

Estimated Cost Delta

Qwen: Qwen3 Coder Flash is estimated to save $33.00/month ($396/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

1
Qwen: Qwen3 Coder Flash:Pick Qwen: Qwen3 Coder Flash when you are optimizing output cost.
2
Qwen: Qwen3 Coder Flash:Pick Qwen: Qwen3 Coder Flash for million-token RAG or long-document jobs.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatQwen: Qwen3 Coder Flash

Lower output list price ($0.98/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGQwen: Qwen3 Coder Flash

Larger window (1M).

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	Qwen: Qwen3 Coder Flash	Lower output list price ($0.98/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	Qwen: Qwen3 Coder Flash	Larger window (1M).
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

Moonshot

MoonshotAI: Kimi K2 0711

Elo 1,465

LiveBench62.8%

SWE-bench65.8%

Speed85 tok/s

Output cost$2.3/1M

Alibaba

Qwen: Qwen3 Coder Flash

Elo n/a

LiveBench—

SWE-bench—

Speed—

Output cost$0.98/1M

Frequently Asked Questions

Which is better overall, MoonshotAI: Kimi K2 0711 or Qwen: Qwen3 Coder Flash?: 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, MoonshotAI: Kimi K2 0711 or Qwen: Qwen3 Coder Flash?: 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?: Qwen: Qwen3 Coder Flash output tokens are $0.98/1M versus $2.3/1M. Input prices and retry rates still move the real bill.
Which is faster, MoonshotAI: Kimi K2 0711 or Qwen: Qwen3 Coder Flash?: We do not have TTFT for both models.
Which has the larger context window?: Qwen: Qwen3 Coder 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. MoonshotAI: Kimi K2 0711 and Qwen: Qwen3 Coder Flash 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 Qwen: Qwen3 Coder Flash matchups →

MoonshotAI: Kimi K2 0711 vs Kimi Chat 1.5 (previous kimi)MoonshotAI: Kimi K2 0711 vs MoonshotAI: Kimi K2.5 (next kimi)Qwen 3 Max vs MoonshotAI: Kimi K2 0711 Kimi K3 vs MoonshotAI: Kimi K2 0711 Qwen QwQ 32B vs MoonshotAI: Kimi K2 0711 Qwen 2.5 Plus vs MoonshotAI: Kimi K2 0711

MoonshotAI: Kimi K2 0711 vs Qwen: Qwen3 Coder Flash benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

MoonshotAI: Kimi K2 0711 (7)vsQwen: Qwen3 Coder Flash (3)

MoonshotAI: Kimi K2 0711: 7W (70%)Overall: MoonshotAI: Kimi K2 0711Qwen: Qwen3 Coder Flash: 3W (30%)

← MoonshotAI: Kimi K2 0711Qwen: Qwen3 Coder Flash →

MoonshotAI: Kimi K2 0711 (5/5)

Intelligence & Reasoning

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

Preference Elo

1,465vs—

Coding Elo

1,470vs—

SWE-bench

65.8%vs—

LiveBench

62.8%vs—

GPQA Diamond

76.5%vs—

MoonshotAI: Kimi K2 0711: 5WQwen: Qwen3 Coder Flash: 0W

MoonshotAI: Kimi K2 0711 (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

85 tok/svs—

Time to first token

240 msvs—

MoonshotAI: Kimi K2 0711: 2WQwen: Qwen3 Coder Flash: 0W

Qwen: Qwen3 Coder Flash (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$2.3/1Mvs$0.98/1M

Input price

$0.57/1Mvs$0.2/1M

Context window

131kvs1M

MoonshotAI: Kimi K2 0711: 0WQwen: Qwen3 Coder Flash: 3W

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatQwen: Qwen3 Coder Flash

Lower output list price ($0.98/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGQwen: Qwen3 Coder Flash

Larger window (1M).

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	Qwen: Qwen3 Coder Flash	Lower output list price ($0.98/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	Qwen: Qwen3 Coder Flash	Larger window (1M).
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 Qwen: Qwen3 Coder Flash?

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, MoonshotAI: Kimi K2 0711 or Qwen: Qwen3 Coder Flash?

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?

Qwen: Qwen3 Coder Flash output tokens are $0.98/1M versus $2.3/1M. Input prices and retry rates still move the real bill.

Which is faster, MoonshotAI: Kimi K2 0711 or Qwen: Qwen3 Coder Flash?

We do not have TTFT for both models.

Which has the larger context window?

Qwen: Qwen3 Coder 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. MoonshotAI: Kimi K2 0711 and Qwen: Qwen3 Coder Flash Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.