CompareLLM
CompareLLM.ai
Live
Leaderboard
Models
Compare
Best of & Stacks
Research & News
…
CompareLLM
CompareLLM.ai
Precision Benchmarks

Programmatic, dated AI model benchmarks, head-to-head comparisons, and Stack Engine presets.

Daily ingest · 06:00 UTC

Analytics & Benchmarks

  • AI Model Leaderboard
  • Head-to-Head Compare Hub
  • Models Directory
  • Stack Engine Presets
  • Frontier Models
  • Open Weights Catalog

Guides & Intent Lists

  • Best LLM Lists (2026)
  • Best Coding LLM
  • Best Cheap LLM
  • Fastest Low-Latency LLM
  • Claude vs GPT Benchmark
  • What is Elo?
  • Methodology Guides
  • News & Dispatches

Transparency & API

  • Evaluation Methodology
  • Benchmark Changelog
  • Public JSON API
  • llms.txt Specification
  • Privacy Policy
  • Sign In / Account

© 2026 CompareLLM. Public benchmark data aggregated from Arena Elo, LiveBench, SWE-bench & OpenRouter.

Every score has a dated snapshot.

Theme:
Currency:
  1. Home
  2. Comparisons
  3. Auto Router (Beta) vs Qwen QwQ 32B

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

Auto Router (Beta) vs Qwen QwQ 32B benchmark

In this head-to-head showdown, Auto Router (Beta) is more budget-friendly at $-1,000,000/1M 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 Auto Router (Beta) and Qwen QwQ 32B present distinct architectural strengths. Compare the verified benchmark matrix below to choose the model tailored to your specific application requirements.
Share Analysis:
WhatsAppTelegramXLinkedInReddit
openrouter
Auto Router (Beta)

Auto-discovered from OpenRouter (openrouter/auto-beta). Preview until a second source matches.

$-1000000/1M out
Alibaba
Qwen QwQ 32B

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

QwQ ReasoningElo 1,495$1.2/1M out

Qwen QwQ 32B Thinking Depth & Cost Scaler

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.

Thinking Delay
960 ms
3× delay
Reasoning Depth
~7,200
Internal tokens
Cost / 1k Calls
$9.15
17.9× standard bill
Accuracy Boost
+11.8% accuracy
STEM & SWE-bench
Top Rival Showdowns for Auto Router (Beta)
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 Leader

Auto Router (Beta)

$-1000000 / 1M output

Capability Percentiles

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

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 AdvantageQwen QwQ 32B 4/6
Head-to-Head Comparison

Overall Matchup Breakdown

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

Auto Router (Beta) (3)vsQwen QwQ 32B (7)
Auto Router (Beta): 3W (30%)Overall: Qwen QwQ 32BQwen QwQ 32B: 7W (70%)
← Auto Router (Beta)Qwen QwQ 32B →
Qwen QwQ 32B (5/5)

Intelligence & Reasoning

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

Preference Elo
—vs1,495
Coding Elo
—vs1,520
SWE-bench
—vs67.5%
LiveBench
—vs68%
GPQA Diamond
—vs83.2%
Auto Router (Beta): 0WQwen QwQ 32B: 5W
Qwen QwQ 32B (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed
—vs68 tok/s
Time to first token
—vs320 ms
Auto Router (Beta): 0WQwen QwQ 32B: 2W
Auto Router (Beta) (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price
$-1,000,000/1Mvs$1.2/1M
Input price
$-1,000,000/1Mvs$0.3/1M
Context window
2Mvs131k
Auto Router (Beta): 3WQwen QwQ 32B: 0W

Side-by-Side Benchmark Matrix

Preference Elo
Auto Router (Beta)—
Qwen QwQ 32B1,495
lmarena · Aug 17, 2026
Coding Elo
Auto Router (Beta)—
Qwen QwQ 32B1,520
lmarena · Aug 17, 2026
LiveBench
Auto Router (Beta)—
Qwen QwQ 32B68%
livebench · Aug 17, 2026
SWE-bench
Auto Router (Beta)—
Qwen QwQ 32B67.5%
swebench · Aug 17, 2026
GPQA Diamond
Auto Router (Beta)—
Qwen QwQ 32B83.2%
seed-bootstrap · Aug 1, 2026
Time to first token
Auto Router (Beta)—
Qwen QwQ 32B320 ms
seed-bootstrap · Aug 1, 2026
Output speed
Auto Router (Beta)—
Qwen QwQ 32B68 tok/s
seed-bootstrap · Aug 1, 2026
Input priceAuto Router (Beta) (+$1,000,000/1M)
Auto Router (Beta)$-1,000,000/1M
openrouter · Aug 17, 2026
Qwen QwQ 32B$0.3/1M
seed-bootstrap · Aug 1, 2026
Output priceAuto Router (Beta) (+$1,000,000/1M)
Auto Router (Beta)$-1,000,000/1M
openrouter · Aug 17, 2026
Qwen QwQ 32B$1.2/1M
seed-bootstrap · Aug 1, 2026
Context windowAuto Router (Beta) (+1.9M)
Auto Router (Beta)2M
openrouter · Aug 17, 2026
Qwen QwQ 32B131k
seed-bootstrap · Aug 1, 2026
BenchmarkAuto Router (Beta)Qwen 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
$-1,000,000/1M
openrouter · Aug 17, 2026
$0.3/1M
seed-bootstrap · Aug 1, 2026
Auto Router (Beta) (+$1,000,000/1M)
Output price
$-1,000,000/1M
openrouter · Aug 17, 2026
$1.2/1M
seed-bootstrap · Aug 1, 2026
Auto Router (Beta) (+$1,000,000/1M)
Context window
2M
openrouter · Aug 17, 2026
131k
seed-bootstrap · Aug 1, 2026
Auto Router (Beta) (+1.9M)

Key Selection Recommendations

  • 1
    Auto Router (Beta):Pick Auto Router (Beta) when you are optimizing output cost.
  • 2
    Auto Router (Beta):Pick Auto Router (Beta) for million-token RAG or long-document jobs.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatAuto Router (Beta)

Lower output list price ($-1,000,000/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGAuto Router (Beta)

Larger window (2M).

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 chatAuto Router (Beta)Lower output list price ($-1,000,000/1M).
Voice / low-latency UIinsufficient dataNeed TTFT on both sides.
Long-document RAGAuto Router (Beta)Larger window (2M).
Screenshots / visionQwen QwQ 32BQwen QwQ 32B is the side marked multimodal in the catalog.
Community Sentiment

Cast Your Matchup Vote

0 total votes

Community Discussions (0)

Sign in to cast your verified vote, bookmark models, and participate in benchmark discussions.Sign In to Post

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

Share card

The real PNG is generated at /compare/auto-beta-vs-qwq-32b/opengraph-image for crawlers.

PNG

CompareLLM Matrix

Verified head-to-head card

LIVE
VS
openrouter

Auto Router (Beta)

Elo n/a
LiveBench—
SWE-bench—
Speed—
Output cost$-1,000,000/1M
Alibaba

Qwen QwQ 32B

Elo 1,495
LiveBench68%
SWE-bench67.5%
Speed68 tok/s
Output cost$1.2/1M

Frequently Asked Questions

Which is better overall, Auto Router (Beta) 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, Auto Router (Beta) 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?
Auto Router (Beta) output tokens are $-1,000,000/1M versus $1.2/1M. Input prices and retry rates still move the real bill.
Which is faster, Auto Router (Beta) or Qwen QwQ 32B?
We do not have TTFT for both models.
Which has the larger context window?
Auto Router (Beta) accepts 2M 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. Auto Router (Beta) 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 Auto Router (Beta) 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