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Every score has a dated snapshot.

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  3. Qwen: Qwen3.5-Flash vs Qwen QwQ 32B

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

Qwen: Qwen3.5-Flash vs Qwen QwQ 32B benchmark

In this head-to-head showdown, Qwen: Qwen3.5-Flash is more budget-friendly at $0.26/1M per 1M output tokens. Review the complete breakdown below to determine which model best fits your performance and budget requirements.

Executive Comparison Verdict

Bottom Line: Both Qwen: Qwen3.5-Flash and Qwen QwQ 32B present distinct architectural strengths. Compare the verified benchmark matrix below to choose the model tailored to your specific application requirements.
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Executive Verdict Summary

Qwen: Qwen3.5-Flash holds empirical advantage (3 of 3 metrics)

Coding / SWESWE-bench
Qwen QwQ 32BTop code solve rate
ReasoningGPQA / Live
Qwen QwQ 32BTop logical accuracy
Best Value$/1M Tok
Qwen: Qwen3.5-FlashLowest API billing cost
Speed / TokTok/Sec
Qwen QwQ 32BFastest stream rate

Verified Advantage Breakdown

3 benchmarks evaluated across capability, speed, and cost

Qwen: Qwen3.5-Flash (3)Qwen QwQ 32B (0)
Qwen: Qwen3.5-Flash
3 of 3 Wins
✓Input price✓Output price✓Context window
Qwen QwQ 32B
0 of 3 Wins
Competitive baseline across remaining benchmarks
Alibaba
Leads 3 of 3
Qwen: Qwen3.5-Flash

Auto-discovered from OpenRouter (qwen/qwen3.5-flash-02-23). Preview until a second source matches.

In: $0.065 · Out: $0.26/1M
Alibaba
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: Qwen3.5-Flash
All Matchups
Compare vs:vs Claude Opus 4.5vs GPT-5vs Gemini 3 Provs Grok 4.6vs DeepSeek V4 Pro
Preference Leader

No shared data

Single model data

Throughput Leader

No shared data

No latency data

Value per Dollar LeaderQwen: Qwen3.5-Flash Wins

Qwen: Qwen3.5-Flash

$0.26 / 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: Qwen3.5-Flash (3)vsQwen QwQ 32B (7)
Qwen: Qwen3.5-Flash: 3W (30%)Overall: Qwen QwQ 32BQwen QwQ 32B: 7W (70%)
← Qwen: Qwen3.5-FlashQwen QwQ 32B →
🏆Qwen QwQ 32B Leads(5/5)

Intelligence & Reasoning

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

Benchmark
Qwen: Qwen3.5-FlashvsQwen QwQ 32B
Preference Elo
—vs1,495
Coding Elo
—vs1,520
SWE-bench
—vs67.5%
LiveBench
—vs68%
GPQA Diamond
—vs83.2%
Qwen: Qwen3.5-Flash: 0WQwen QwQ 32B: 5W
🏆Qwen QwQ 32B Leads(2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Benchmark
Qwen: Qwen3.5-FlashvsQwen QwQ 32B
Output speed
—vs68 tok/s
Time to first token
—vs320 ms
Qwen: Qwen3.5-Flash: 0WQwen QwQ 32B: 2W
🏆Qwen: Qwen3.5-Flash Leads(3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Benchmark
Qwen: Qwen3.5-FlashvsQwen QwQ 32B
Output price
$0.26/1Mvs$1.2/1M+$0.94/1M
Input price
$0.065/1Mvs$0.3/1M+$0.235/1M
Context window
1Mvs131k+869k
Qwen: Qwen3.5-Flash: 3WQwen QwQ 32B: 0W

Side-by-Side Benchmark Matrix

Qwen: Qwen3.5-FlashQwen QwQ 32B
Preference Elo
Qwen: Qwen3.5-Flash—
Qwen QwQ 32B1,495
Coding Elo
Qwen: Qwen3.5-Flash—
Qwen QwQ 32B1,520
LiveBench
Qwen: Qwen3.5-Flash—
Qwen QwQ 32B68%
SWE-bench
Qwen: Qwen3.5-Flash—
Qwen QwQ 32B67.5%
GPQA Diamond
Qwen: Qwen3.5-Flash—
Qwen QwQ 32B83.2%
Time to first token
Qwen: Qwen3.5-Flash—
Qwen QwQ 32B320 ms
Output speed
Qwen: Qwen3.5-Flash—
Qwen QwQ 32B68 tok/s
Input priceQwen: Qwen3.5-Flash +$0.235/1M
Qwen: Qwen3.5-Flash$0.065/1M
Qwen QwQ 32B$0.3/1M
Output priceQwen: Qwen3.5-Flash +$0.94/1M
Qwen: Qwen3.5-Flash$0.26/1M
Qwen QwQ 32B$1.2/1M
Context windowQwen: Qwen3.5-Flash +869k
Qwen: Qwen3.5-Flash1M
Qwen QwQ 32B131k
BenchmarkQwen: Qwen3.5-FlashQwen QwQ 32BAdvantage 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
$0.065/1M
openrouter · Aug 17, 2026
$0.3/1M
seed-bootstrap · Aug 1, 2026
+$0.235/1M
Output price
$0.26/1M
openrouter · Aug 17, 2026
$1.2/1M
seed-bootstrap · Aug 1, 2026
+$0.94/1M
Context window
1M
openrouter · Aug 17, 2026
131k
seed-bootstrap · Aug 1, 2026
+869k

Workload Cost & Savings Calculator

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

Save 78% with Qwen: Qwen3.5-Flash
Monthly Volume50M tokens/mo
Quick Presets:
Token Ratio (In vs Out)70% In / 30% Out
RAG / Search (10% out)Coding / Chat (50% out)
Qwen: Qwen3.5-Flash$6.18 / mo
In: $2.28Out: $3.9
Qwen QwQ 32B$28.50 / mo
In: $10.5Out: $18
Estimated Cost Delta

Qwen: Qwen3.5-Flash is estimated to save $22.33/month ($268/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

  • 1
    Qwen: Qwen3.5-Flash:Pick Qwen: Qwen3.5-Flash when you are optimizing output cost.
  • 2
    Qwen: Qwen3.5-Flash:Pick Qwen: Qwen3.5-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: Qwen3.5-Flash

Lower output list price ($0.26/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGQwen: Qwen3.5-Flash

Larger window (1M).

Screenshots / visionQwen QwQ 32B

Qwen QwQ 32B is the side marked multimodal in the catalog.

Target WorkloadRecommended PickEvaluation Rationale
Repo / coding agentsinsufficient dataNeed SWE-bench on both sides.
High-volume chatQwen: Qwen3.5-FlashLower output list price ($0.26/1M).
Voice / low-latency UIinsufficient dataNeed TTFT on both sides.
Long-document RAGQwen: Qwen3.5-FlashLarger window (1M).
Screenshots / visionQwen QwQ 32BQwen QwQ 32B is the side marked multimodal in the catalog.

Cast Your Matchup Vote

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CompareLLM AI Matrix

Verified Head-to-Head Telemetry

LIVE BENCHMARK
VS
Alibaba

Qwen: Qwen3.5-Flash

Elo n/a
SWE-bench—
Speed (tok/s)1M
Input / 1M Tokens$0.065/1M
Output / 1M Tokens$0.26/1M
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: Qwen3.5-Flash 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: Qwen3.5-Flash 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: Qwen3.5-Flash output tokens are $0.26/1M versus $1.2/1M. Input prices and retry rates still move the real bill.
Which is faster, Qwen: Qwen3.5-Flash or Qwen QwQ 32B?
We do not have TTFT for both models.
Which has the larger context window?
Qwen: Qwen3.5-Flash accepts 1M 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: Qwen3.5-Flash 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: Qwen3.5-Flash matchups →|All Qwen QwQ 32B matchups →
Qwen QwQ 32B vs Qwen3 235B (previous qwen)Qwen 3 Max vs Qwen QwQ 32BQwen 2.5 Plus vs Qwen QwQ 32BQwen3.8 27B vs Qwen QwQ 32BQwen 2.5 Coder 32B vs Qwen QwQ 32BQwen2.5 Coder 32B Instruct vs Qwen QwQ 32B