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

Qwen: Qwen3 VL 30B A3B Thinking vs Qwen QwQ 32B benchmark

Name: Qwen: Qwen3 VL 30B A3B Thinking vs Qwen QwQ 32B AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

In this head-to-head showdown, Qwen QwQ 32B is more budget-friendly at $1.2/1M per 1M output tokens. Review the complete breakdown below to determine which model best fits your performance and budget requirements.

Share Analysis:Share:

WhatsApp Telegram X LinkedIn

Executive Verdict Summary

Qwen: Qwen3 VL 30B A3B Thinking holds empirical advantage (2 of 3 metrics)

Coding / SWESWE-bench

Qwen QwQ 32BTop code solve rate

ReasoningGPQA / Live

Qwen QwQ 32BTop logical accuracy

Best Value$/1M Tok

Qwen QwQ 32BLowest API billing cost

Speed / TokTok/Sec

Qwen QwQ 32BFastest stream rate

Verified Advantage Breakdown

3 benchmarks evaluated across capability, speed, and cost

Qwen: Qwen3 VL 30B A3B Thinking (2)Qwen QwQ 32B (1)

Qwen: Qwen3 VL 30B A3B Thinking

2 of 3 Wins

✓Input price✓Context window

Qwen QwQ 32B

1 of 3 Wins

✓Output price

Alibaba

Leads 2 of 3

Qwen: Qwen3 VL 30B A3B Thinking

Auto-discovered from OpenRouter (qwen/qwen3-vl-30b-a3b-thinking). Preview until a second source matches.

In: $0.2 · Out: $2.4/1M

Alibaba

Leads 1 of 3

Qwen QwQ 32B

Alibaba specialized open reasoning model competing with frontier closed reasoning models.

QwQ ReasoningElo 1,495In: $0.3 · Out: $1.2/1M

Qwen QwQ 32B Thinking Depth & Cost Scaler

Model B

Simulate accuracy gains vs added response time & token cost

Mode: High (Max QwQ CoT)

Reasoning models “think before answering” by generating internal reasoning tokens. Higher effort improves math, coding, and logic accuracy, but increases response delay and token costs.

Delay

960 ms

3× delay

CoT Tokens

~7,200

Internal reasoning

Cost / 1k

$9.15

17.9× base bill

Accuracy Boost

+11.8%

STEM & Logic

Top Rival Showdowns for Qwen: Qwen3 VL 30B A3B Thinking

All Matchups

Compare vs:vs Claude Opus 4.5 vs GPT-5 vs Gemini 3 Pro vs Grok 4.6 vs DeepSeek V4 Pro

Preference Leader

No shared data

Single model data

Throughput Leader

No shared data

No latency data

Value per Dollar LeaderQwen QwQ 32B Wins

Qwen QwQ 32B

$1.2 / 1M output

Capability Percentiles

Relative percentile scores computed across all active models in the benchmark catalog.

Multi-Dimensional Capability Radar

Leaders Matchup Capability Radar

Comparing top standard models across 6 key capability dimensions. Tap any spoke or dot to inspect.

Tap any node to inspect

0–100 %ile

Overall Matchup Breakdown

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

Qwen: Qwen3 VL 30B A3B Thinking (2)vsQwen QwQ 32B (8)

Qwen: Qwen3 VL 30B A3B Thinking: 2W (20%)Qwen QwQ 32B: 8W (80%)

← Qwen: Qwen3 VL 30B A3B ThinkingQwen QwQ 32B →

🏆Qwen QwQ 32B Leads(5/5)

Intelligence & Reasoning

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

Benchmark

Qwen: Qwen3 VL 30B A3B ThinkingvsQwen QwQ 32B

Preference Elo

—vs1,495

Coding Elo

—vs1,520

SWE-bench

—vs67.5%

LiveBench

—vs68%

GPQA Diamond

—vs83.2%

Qwen: Qwen3 VL 30B A3B Thinking: 0WQwen QwQ 32B: 5W

🏆Qwen QwQ 32B Leads(2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Benchmark

Qwen: Qwen3 VL 30B A3B ThinkingvsQwen QwQ 32B

Output speed

—vs68 tok/s

Time to first token

—vs320 ms

Qwen: Qwen3 VL 30B A3B Thinking: 0WQwen QwQ 32B: 2W

🏆Qwen: Qwen3 VL 30B A3B Thinking Leads(2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Benchmark

Qwen: Qwen3 VL 30B A3B ThinkingvsQwen QwQ 32B

Output price

$2.4/1Mvs$1.2/1M+$1.2/1M

Input price

$0.2/1Mvs$0.3/1M+$0.1/1M

Context window

262kvs131k+131k

Qwen: Qwen3 VL 30B A3B Thinking: 2WQwen QwQ 32B: 1W

Side-by-Side Benchmark Matrix

Qwen: Qwen3 VL 30B A3B ThinkingQwen QwQ 32B

Preference Elo

Qwen: Qwen3 VL 30B A3B Thinking—

Qwen QwQ 32B1,495

Coding Elo

Qwen: Qwen3 VL 30B A3B Thinking—

Qwen QwQ 32B1,520

LiveBench

Qwen: Qwen3 VL 30B A3B Thinking—

Qwen QwQ 32B68%

SWE-bench

Qwen: Qwen3 VL 30B A3B Thinking—

Qwen QwQ 32B67.5%

GPQA Diamond

Qwen: Qwen3 VL 30B A3B Thinking—

Qwen QwQ 32B83.2%

Time to first token

Qwen: Qwen3 VL 30B A3B Thinking—

Qwen QwQ 32B320 ms

Output speed

Qwen: Qwen3 VL 30B A3B Thinking—

Qwen QwQ 32B68 tok/s

Input priceQwen: Qwen3 VL 30B A3B Thinking +$0.1/1M

Qwen: Qwen3 VL 30B A3B Thinking$0.2/1M

Qwen QwQ 32B$0.3/1M

Output priceQwen QwQ 32B +$1.2/1M

Qwen: Qwen3 VL 30B A3B Thinking$2.4/1M

Qwen QwQ 32B$1.2/1M

Context windowQwen: Qwen3 VL 30B A3B Thinking +131k

Qwen: Qwen3 VL 30B A3B Thinking262k

Qwen QwQ 32B131k

Benchmark	Qwen: Qwen3 VL 30B A3B Thinking	Qwen QwQ 32B	Advantage Delta
Preference Elo	—	1,495 lmarena · Aug 17, 2026	—
Coding Elo	—	1,520 lmarena · Aug 17, 2026	—
LiveBench	—	68% livebench · Aug 17, 2026	—
SWE-bench	—	67.5% swebench · Aug 17, 2026	—
GPQA Diamond	—	83.2% seed-bootstrap · Aug 1, 2026	—
Time to first token	—	320 ms seed-bootstrap · Aug 1, 2026	—
Output speed	—	68 tok/s seed-bootstrap · Aug 1, 2026	—
Input price	$0.2/1M openrouter · Aug 17, 2026	$0.3/1M seed-bootstrap · Aug 1, 2026	+$0.1/1M
Output price	$2.4/1M openrouter · Aug 17, 2026	$1.2/1M seed-bootstrap · Aug 1, 2026	+$1.2/1M
Context window	262k openrouter · Aug 17, 2026	131k seed-bootstrap · Aug 1, 2026	+131k

Workload Cost & Savings Calculator

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

Save 34% with Qwen QwQ 32B

Monthly Volume50M tokens/mo

Quick Presets:

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

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

Qwen: Qwen3 VL 30B A3B Thinking$43.00 / mo

In: $7Out: $36

Qwen QwQ 32B$28.50 / mo

In: $10.5Out: $18

Estimated Cost Delta

Qwen QwQ 32B is estimated to save $14.50/month ($174/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

1
Qwen QwQ 32B:Pick Qwen QwQ 32B when you are optimizing output cost.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatQwen QwQ 32B

Lower output list price ($1.2/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGQwen: Qwen3 VL 30B A3B Thinking

Larger window (262k).

Screenshots / visionQwen QwQ 32B

Qwen QwQ 32B 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 QwQ 32B	Lower output list price ($1.2/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	Qwen: Qwen3 VL 30B A3B Thinking	Larger window (262k).
Screenshots / vision	Qwen QwQ 32B	Qwen QwQ 32B is the side marked multimodal in the catalog.

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!

Social Share Card Preview

Dynamic OpenGraph banner generated at /compare/qwen3-vl-30b-a3b-thinking-vs-qwq-32b/opengraph-image

Save PNG

CompareLLM AI Matrix

Verified Head-to-Head Telemetry

LIVE BENCHMARK

Alibaba

Qwen: Qwen3 VL 30B A3B Thinking

Elo n/a

SWE-bench—

Speed (tok/s)262k

Input / 1M Tokens$0.2/1M

Output / 1M Tokens$2.4/1M

Alibaba

Qwen QwQ 32B

Elo 1,495

SWE-bench67.5%

Speed (tok/s)68 tok/s

Input / 1M Tokens$0.3/1M

Output / 1M Tokens$1.2/1M

Frequently Asked Questions

Which is better overall, Qwen: Qwen3 VL 30B A3B Thinking or Qwen QwQ 32B?: 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 30B A3B Thinking or Qwen QwQ 32B?: 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 QwQ 32B output tokens are $1.2/1M versus $2.4/1M. Input prices and retry rates still move the real bill.
Which is faster, Qwen: Qwen3 VL 30B A3B Thinking or Qwen QwQ 32B?: We do not have TTFT for both models.
Which has the larger context window?: Qwen: Qwen3 VL 30B A3B Thinking accepts 262k tokens versus 131k.
Can I self-host either model?: Qwen QwQ 32B is marked open-weights in our catalog. The other side is a closed API. Check the provider license before you ship weights.
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 30B A3B Thinking and Qwen QwQ 32B Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All Qwen: Qwen3 VL 30B A3B Thinking matchups →|All Qwen QwQ 32B matchups →

Qwen QwQ 32B vs Qwen3 235B (previous qwen)Qwen 3 Max vs Qwen QwQ 32B Qwen 2.5 Plus vs Qwen QwQ 32B Qwen3.8 27B vs Qwen QwQ 32B Qwen 2.5 Coder 32B vs Qwen QwQ 32B Qwen2.5 Coder 32B Instruct vs Qwen QwQ 32B

Capability Percentiles

Relative percentile scores computed across all active models in the benchmark catalog.

Multi-Dimensional Capability Radar

Leaders Matchup Capability Radar

Comparing top standard models across 6 key capability dimensions. Tap any spoke or dot to inspect.

Tap any node to inspect

0–100 %ile

Side-by-Side Benchmark Matrix

Qwen: Qwen3 VL 30B A3B ThinkingQwen QwQ 32B

Preference Elo

Qwen: Qwen3 VL 30B A3B Thinking—

Qwen QwQ 32B1,495

Coding Elo

Qwen: Qwen3 VL 30B A3B Thinking—

Qwen QwQ 32B1,520

LiveBench

Qwen: Qwen3 VL 30B A3B Thinking—

Qwen QwQ 32B68%

SWE-bench

Qwen: Qwen3 VL 30B A3B Thinking—

Qwen QwQ 32B67.5%

GPQA Diamond

Qwen: Qwen3 VL 30B A3B Thinking—

Qwen QwQ 32B83.2%

Time to first token

Qwen: Qwen3 VL 30B A3B Thinking—

Qwen QwQ 32B320 ms

Output speed

Qwen: Qwen3 VL 30B A3B Thinking—

Qwen QwQ 32B68 tok/s

Input priceQwen: Qwen3 VL 30B A3B Thinking +$0.1/1M

Qwen: Qwen3 VL 30B A3B Thinking$0.2/1M

Qwen QwQ 32B$0.3/1M

Output priceQwen QwQ 32B +$1.2/1M

Qwen: Qwen3 VL 30B A3B Thinking$2.4/1M

Qwen QwQ 32B$1.2/1M

Context windowQwen: Qwen3 VL 30B A3B Thinking +131k

Qwen: Qwen3 VL 30B A3B Thinking262k

Qwen QwQ 32B131k

Benchmark

Qwen: Qwen3 VL 30B A3B Thinking

Qwen QwQ 32B

Advantage Delta

Preference Elo

—

1,495

lmarena · Aug 17, 2026

—

Coding Elo

—

1,520

lmarena · Aug 17, 2026

—

LiveBench

—

68%

livebench · Aug 17, 2026

—

SWE-bench

—

67.5%

swebench · Aug 17, 2026

—

GPQA Diamond

—

83.2%

seed-bootstrap · Aug 1, 2026

—

Time to first token

—

320 ms

seed-bootstrap · Aug 1, 2026

—

Output speed

—

68 tok/s

seed-bootstrap · Aug 1, 2026

—

Input price

$0.2/1M

openrouter · Aug 17, 2026

$0.3/1M

seed-bootstrap · Aug 1, 2026

+$0.1/1M

Output price

$2.4/1M

openrouter · Aug 17, 2026

$1.2/1M

seed-bootstrap · Aug 1, 2026

+$1.2/1M

Context window

262k

openrouter · Aug 17, 2026

131k

seed-bootstrap · Aug 1, 2026

+131k

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatQwen QwQ 32B

Lower output list price ($1.2/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGQwen: Qwen3 VL 30B A3B Thinking

Larger window (262k).

Screenshots / visionQwen QwQ 32B

Qwen QwQ 32B 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 QwQ 32B	Lower output list price ($1.2/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	Qwen: Qwen3 VL 30B A3B Thinking	Larger window (262k).
Screenshots / vision	Qwen QwQ 32B	Qwen QwQ 32B is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, Qwen: Qwen3 VL 30B A3B Thinking or Qwen QwQ 32B?

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 30B A3B Thinking or Qwen QwQ 32B?

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 QwQ 32B output tokens are $1.2/1M versus $2.4/1M. Input prices and retry rates still move the real bill.

Which is faster, Qwen: Qwen3 VL 30B A3B Thinking or Qwen QwQ 32B?

We do not have TTFT for both models.

Which has the larger context window?

Qwen: Qwen3 VL 30B A3B Thinking accepts 262k tokens versus 131k.

Can I self-host either model?

Qwen QwQ 32B is marked open-weights in our catalog. The other side is a closed API. Check the provider license before you ship weights.

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 30B A3B Thinking and Qwen QwQ 32B Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.