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

MoonshotAI: Kimi K2 0711 vs Qwen Image 2.0 Pro benchmark

Name: MoonshotAI: Kimi K2 0711 vs Qwen Image 2.0 Pro AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

Comparing verified benchmark accuracy, speed, and token pricing between MoonshotAI: Kimi K2 0711 and Qwen Image 2.0 Pro. Review the complete breakdown below to determine which model best fits your performance and budget requirements.

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Executive Verdict Summary

MoonshotAI: Kimi K2 0711 holds empirical advantage (0 of 0 metrics)

Coding / SWESWE-bench

MoonshotAI: Kimi K2 0711Top code solve rate

ReasoningGPQA / Live

MoonshotAI: Kimi K2 0711Top logical accuracy

Best Value$/1M Tok

MoonshotAI: Kimi K2 0711Lowest API billing cost

Speed / TokTok/Sec

MoonshotAI: Kimi K2 0711Fastest stream rate

Moonshot

MoonshotAI: Kimi K2 0711

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

K2 BaseImg Elo 1,465

Alibaba

Qwen Image 2.0 Pro

Alibaba multimodal image synthesis foundation model with strong bilingual Chinese/English typography and cultural asset fidelity.

Img Elo 1,236$75/1k imgs

Kimi Series Lineage & Sibling Variants

4 models

Currently comparing MoonshotAI: Kimi K2 0711 vs Qwen Image 2.0 Pro. Alternative family tiers available.

Active: MoonshotAI: Kimi K2 0711

Kimi K3$15 MoonshotAI: Kimi K2.5$2.85 Kimi Chat 1.5$0.8

Top Rival Showdowns for MoonshotAI: Kimi K2 0711

All Matchups

Compare vs:vs GPT Image 2 (High)vs Reve 2.1 vs Nano Banana Pro (Gemini 3 Pro Image)vs FLUX.2 [max]vs Ideogram 4.0 (Quality)

Image Quality Leader

No shared data

Single model data

Generation Speed Leader

No shared data

No latency data

Value per Dollar Leader

No shared data

Unpriced

Overall Matchup Breakdown

Category wins across reasoning intelligence, generation speed, and token cost.

MoonshotAI: Kimi K2 0711 (0)vsQwen Image 2.0 Pro (5)

MoonshotAI: Kimi K2 0711: 0W (0%)Qwen Image 2.0 Pro: 5W (100%)

← MoonshotAI: Kimi K2 0711Qwen Image 2.0 Pro →

🏆Qwen Image 2.0 Pro Leads(3/3)

Visual Quality & Adherence

Arena Preference Elo, prompt fidelity & typography score

Benchmark

MoonshotAI: Kimi K2 0711vsQwen Image 2.0 Pro

Image Elo

—vs1,236

Prompt adherence

—vs90.8%

Text rendering

—vs92%

MoonshotAI: Kimi K2 0711: 0WQwen Image 2.0 Pro: 3W

🏆Qwen Image 2.0 Pro Leads(1/1)

Generation Latency

Time to render full-resolution image snapshot (seconds)

Benchmark

MoonshotAI: Kimi K2 0711vsQwen Image 2.0 Pro

Generation time

—vs3.6s

MoonshotAI: Kimi K2 0711: 0WQwen Image 2.0 Pro: 1W

🏆Qwen Image 2.0 Pro Leads(1/1)

Cost Efficiency

API inference cost per 1,000 generated images

Benchmark

MoonshotAI: Kimi K2 0711vsQwen Image 2.0 Pro

Price per 1k images

—vs$75/1k

MoonshotAI: Kimi K2 0711: 0WQwen Image 2.0 Pro: 1W

Side-by-Side Benchmark Matrix

MoonshotAI: Kimi K2 0711Qwen Image 2.0 Pro

Image Elo

MoonshotAI: Kimi K2 0711—

Qwen Image 2.0 Pro1,236

Generation time

MoonshotAI: Kimi K2 0711—

Qwen Image 2.0 Pro3.6s

Price per 1k images

MoonshotAI: Kimi K2 0711—

Qwen Image 2.0 Pro$75/1k

Prompt adherence

MoonshotAI: Kimi K2 0711—

Qwen Image 2.0 Pro90.8%

Text rendering

MoonshotAI: Kimi K2 0711—

Qwen Image 2.0 Pro92%

Benchmark	MoonshotAI: Kimi K2 0711	Qwen Image 2.0 Pro	Advantage Delta
Image Elo	—	1,236 seed-bootstrap · Aug 1, 2026	—
Generation time	—	3.6s seed-bootstrap · Aug 1, 2026	—
Price per 1k images	—	$75/1k seed-bootstrap · Aug 1, 2026	—
Prompt adherence	—	90.8% seed-bootstrap · Aug 1, 2026	—
Text rendering	—	92% seed-bootstrap · Aug 1, 2026	—

Workload Cost & Savings Calculator

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

Save 100% with MoonshotAI: Kimi K2 0711

Monthly Image Production Volume25k images / month (25000 imgs)

Quick Presets:

MoonshotAI: Kimi K2 0711$0.00 / mo

Rate: $0/1k

Qwen Image 2.0 Pro$1,875.00 / mo

Rate: $75/1k

Estimated Cost Delta

MoonshotAI: Kimi K2 0711 is estimated to save $1,875.00/month ($22,500/year).

Based on 25k images generated

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatinsufficient data

Need list prices.

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGinsufficient data

Need context sizes.

Screenshots / visioninsufficient data

Both accept images. Defaulting to the higher-Elo side (undefined).

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	insufficient data	Need SWE-bench on both sides.
High-volume chat	insufficient data	Need list prices.
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	insufficient data	Need context sizes.
Screenshots / vision	insufficient data	Both accept images. Defaulting to the higher-Elo side (undefined).

Cast Your Matchup Vote

0 total votes

Community Discussions (0)

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

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CompareLLM AI Matrix

Verified Head-to-Head Telemetry

LIVE BENCHMARK

Moonshot

MoonshotAI: Kimi K2 0711

Elo 1,465

SWE-bench65.8%

Speed (tok/s)85 tok/s

Input / 1M Tokens$0.57/1M

Output / 1M Tokens$2.3/1M

Alibaba

Qwen Image 2.0 Pro

Elo n/a

SWE-bench—

Speed (tok/s)—

Input / 1M Tokens$75/1k

Output / 1M Tokens$75/1k

Frequently Asked Questions

Which is better overall, MoonshotAI: Kimi K2 0711 or Qwen Image 2.0 Pro?: 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 Image 2.0 Pro?: 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?: List prices are missing for at least one model.
Which is faster, MoonshotAI: Kimi K2 0711 or Qwen Image 2.0 Pro?: We do not have TTFT for both models.
Which has the larger context window?: Context window is missing for at least one model.
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 Image 2.0 Pro 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 Image 2.0 Pro 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

Side-by-Side Benchmark Matrix

MoonshotAI: Kimi K2 0711Qwen Image 2.0 Pro

Image Elo

MoonshotAI: Kimi K2 0711—

Qwen Image 2.0 Pro1,236

Generation time

MoonshotAI: Kimi K2 0711—

Qwen Image 2.0 Pro3.6s

Price per 1k images

MoonshotAI: Kimi K2 0711—

Qwen Image 2.0 Pro$75/1k

Prompt adherence

MoonshotAI: Kimi K2 0711—

Qwen Image 2.0 Pro90.8%

Text rendering

MoonshotAI: Kimi K2 0711—

Qwen Image 2.0 Pro92%

Benchmark	MoonshotAI: Kimi K2 0711	Qwen Image 2.0 Pro	Advantage Delta
Image Elo	—	1,236 seed-bootstrap · Aug 1, 2026	—
Generation time	—	3.6s seed-bootstrap · Aug 1, 2026	—
Price per 1k images	—	$75/1k seed-bootstrap · Aug 1, 2026	—
Prompt adherence	—	90.8% seed-bootstrap · Aug 1, 2026	—
Text rendering	—	92% seed-bootstrap · Aug 1, 2026	—

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatinsufficient data

Need list prices.

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGinsufficient data

Need context sizes.

Screenshots / visioninsufficient data

Both accept images. Defaulting to the higher-Elo side (undefined).

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	insufficient data	Need SWE-bench on both sides.
High-volume chat	insufficient data	Need list prices.
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	insufficient data	Need context sizes.
Screenshots / vision	insufficient data	Both accept images. Defaulting to the higher-Elo side (undefined).

Frequently Asked Questions

Which is better overall, MoonshotAI: Kimi K2 0711 or Qwen Image 2.0 Pro?

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 Image 2.0 Pro?

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?

List prices are missing for at least one model.

Which is faster, MoonshotAI: Kimi K2 0711 or Qwen Image 2.0 Pro?

We do not have TTFT for both models.

Which has the larger context window?

Context window is missing for at least one model.

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 Image 2.0 Pro Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.