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

Qwen: Qwen3 VL 235B A22B Thinking vs Recraft V4.1 Utility benchmark

Name: Qwen: Qwen3 VL 235B A22B Thinking vs Recraft V4.1 Utility AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

Comparing verified benchmark accuracy, speed, and token pricing between Qwen: Qwen3 VL 235B A22B Thinking and Recraft V4.1 Utility. Review the complete breakdown below to determine which model best fits your performance and budget requirements.

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Executive Verdict Summary

Qwen: Qwen3 VL 235B A22B Thinking holds empirical advantage (0 of 0 metrics)

Coding / SWESWE-bench

Qwen: Qwen3 VL 235B A22B ThinkingTop code solve rate

ReasoningGPQA / Live

Qwen: Qwen3 VL 235B A22B ThinkingTop logical accuracy

Best Value$/1M Tok

Qwen: Qwen3 VL 235B A22B ThinkingLowest API billing cost

Speed / TokTok/Sec

Qwen: Qwen3 VL 235B A22B ThinkingFastest stream rate

Alibaba

Qwen: Qwen3 VL 235B A22B Thinking

Auto-discovered from OpenRouter (qwen/qwen3-vl-235b-a22b-thinking). Preview until a second source matches.

Recraft

Recraft V4.1 Utility

High-speed utility tier of Recraft V4.1 tailored for rapid asset production at $0.035/image.

Utility FastImg Elo 1,218$35/1k imgs

Top Rival Showdowns for Qwen: Qwen3 VL 235B A22B Thinking

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.

Qwen: Qwen3 VL 235B A22B Thinking (0)vsRecraft V4.1 Utility (5)

Qwen: Qwen3 VL 235B A22B Thinking: 0W (0%)Recraft V4.1 Utility: 5W (100%)

← Qwen: Qwen3 VL 235B A22B ThinkingRecraft V4.1 Utility →

🏆Recraft V4.1 Utility Leads(3/3)

Visual Quality & Adherence

Arena Preference Elo, prompt fidelity & typography score

Benchmark

Qwen: Qwen3 VL 235B A22B ThinkingvsRecraft V4.1 Utility

Image Elo

—vs1,218

Prompt adherence

—vs90%

Text rendering

—vs92.5%

Qwen: Qwen3 VL 235B A22B Thinking: 0WRecraft V4.1 Utility: 3W

🏆Recraft V4.1 Utility Leads(1/1)

Generation Latency

Time to render full-resolution image snapshot (seconds)

Benchmark

Qwen: Qwen3 VL 235B A22B ThinkingvsRecraft V4.1 Utility

Generation time

—vs2s

Qwen: Qwen3 VL 235B A22B Thinking: 0WRecraft V4.1 Utility: 1W

🏆Recraft V4.1 Utility Leads(1/1)

Cost Efficiency

API inference cost per 1,000 generated images

Benchmark

Qwen: Qwen3 VL 235B A22B ThinkingvsRecraft V4.1 Utility

Price per 1k images

—vs$35/1k

Qwen: Qwen3 VL 235B A22B Thinking: 0WRecraft V4.1 Utility: 1W

Side-by-Side Benchmark Matrix

Qwen: Qwen3 VL 235B A22B ThinkingRecraft V4.1 Utility

Image Elo

Qwen: Qwen3 VL 235B A22B Thinking—

Recraft V4.1 Utility1,218

Generation time

Qwen: Qwen3 VL 235B A22B Thinking—

Recraft V4.1 Utility2s

Price per 1k images

Qwen: Qwen3 VL 235B A22B Thinking—

Recraft V4.1 Utility$35/1k

Prompt adherence

Qwen: Qwen3 VL 235B A22B Thinking—

Recraft V4.1 Utility90%

Text rendering

Qwen: Qwen3 VL 235B A22B Thinking—

Recraft V4.1 Utility92.5%

Benchmark	Qwen: Qwen3 VL 235B A22B Thinking	Recraft V4.1 Utility	Advantage Delta
Image Elo	—	1,218 seed-bootstrap · Aug 1, 2026	—
Generation time	—	2s seed-bootstrap · Aug 1, 2026	—
Price per 1k images	—	$35/1k seed-bootstrap · Aug 1, 2026	—
Prompt adherence	—	90% seed-bootstrap · Aug 1, 2026	—
Text rendering	—	92.5% seed-bootstrap · Aug 1, 2026	—

Workload Cost & Savings Calculator

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

Save 100% with Qwen: Qwen3 VL 235B A22B Thinking

Monthly Image Production Volume25k images / month (25000 imgs)

Quick Presets:

Qwen: Qwen3 VL 235B A22B Thinking$0.00 / mo

Rate: $0/1k

Recraft V4.1 Utility$875.00 / mo

Rate: $35/1k

Estimated Cost Delta

Qwen: Qwen3 VL 235B A22B Thinking is estimated to save $875.00/month ($10,500/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 / visionRecraft V4.1 Utility

Recraft V4.1 Utility 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	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	Recraft V4.1 Utility	Recraft V4.1 Utility is the side marked multimodal in the catalog.

Cast Your Matchup Vote

0 total votes

Community Discussions (0)

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CompareLLM AI Matrix

Verified Head-to-Head Telemetry

LIVE BENCHMARK

Alibaba

Qwen: Qwen3 VL 235B A22B Thinking

Elo n/a

SWE-bench—

Speed (tok/s)131k

Input / 1M Tokens$0.4/1M

Output / 1M Tokens$4/1M

Recraft

Recraft V4.1 Utility

Elo n/a

SWE-bench—

Speed (tok/s)—

Input / 1M Tokens$35/1k

Output / 1M Tokens$35/1k

Frequently Asked Questions

Which is better overall, Qwen: Qwen3 VL 235B A22B Thinking or Recraft V4.1 Utility?: 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, Qwen: Qwen3 VL 235B A22B Thinking or Recraft V4.1 Utility?: 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, Qwen: Qwen3 VL 235B A22B Thinking or Recraft V4.1 Utility?: 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. Qwen: Qwen3 VL 235B A22B Thinking and Recraft V4.1 Utility Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All Qwen: Qwen3 VL 235B A22B Thinking matchups →|All Recraft V4.1 Utility matchups →

Recraft V4.1 Utility vs Recraft V4.1 Utility Pro (next recraft)Qwen Image 2.0 Pro vs Recraft V4.1 Utility GPT Image 2 (High) vs Recraft V4.1 Utility Reve 2.1 vs Recraft V4.1 Utility Nano Banana Pro (Gemini 3 Pro Image) vs Recraft V4.1 Utility Nano Banana 2 (Gemini 3.1 Flash Image) vs Recraft V4.1 Utility

Side-by-Side Benchmark Matrix

Qwen: Qwen3 VL 235B A22B ThinkingRecraft V4.1 Utility

Image Elo

Qwen: Qwen3 VL 235B A22B Thinking—

Recraft V4.1 Utility1,218

Generation time

Qwen: Qwen3 VL 235B A22B Thinking—

Recraft V4.1 Utility2s

Price per 1k images

Qwen: Qwen3 VL 235B A22B Thinking—

Recraft V4.1 Utility$35/1k

Prompt adherence

Qwen: Qwen3 VL 235B A22B Thinking—

Recraft V4.1 Utility90%

Text rendering

Qwen: Qwen3 VL 235B A22B Thinking—

Recraft V4.1 Utility92.5%

Benchmark	Qwen: Qwen3 VL 235B A22B Thinking	Recraft V4.1 Utility	Advantage Delta
Image Elo	—	1,218 seed-bootstrap · Aug 1, 2026	—
Generation time	—	2s seed-bootstrap · Aug 1, 2026	—
Price per 1k images	—	$35/1k seed-bootstrap · Aug 1, 2026	—
Prompt adherence	—	90% seed-bootstrap · Aug 1, 2026	—
Text rendering	—	92.5% 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 / visionRecraft V4.1 Utility

Recraft V4.1 Utility 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	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	Recraft V4.1 Utility	Recraft V4.1 Utility is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, Qwen: Qwen3 VL 235B A22B Thinking or Recraft V4.1 Utility?

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, Qwen: Qwen3 VL 235B A22B Thinking or Recraft V4.1 Utility?

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, Qwen: Qwen3 VL 235B A22B Thinking or Recraft V4.1 Utility?

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. Qwen: Qwen3 VL 235B A22B Thinking and Recraft V4.1 Utility Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.