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

Every score has a dated snapshot.

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  3. Llama 3.1 405B vs Qwen QwQ 32B

Pairwise benchmark snapshot · Aug 1, 2026

Llama 3.1 405B vs Qwen QwQ 32B benchmark

In this head-to-head showdown, Qwen QwQ 32B delivers higher overall intelligence and human-preferred responses (Elo 1,495 vs 1,370), while Qwen QwQ 32B leads in SWE-bench software engineering benchmarks (67.5%), while 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.

Executive Comparison Verdict

Bottom Line: Qwen QwQ 32B holds the advantage over Llama 3.1 405B in overall benchmark performance and human evaluation rankings. Choose Qwen QwQ 32B for demanding workloads, or review the breakdown below to compare coding and pricing metrics.
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Verified Head-to-Head Advantage Breakdown

10 direct benchmark disciplines evaluated across capability, speed, and cost

Llama 3.1 405B (0)Qwen QwQ 32B (10)
Llama 3.1 405B
0 of 10 Wins
Competitive baseline across remaining benchmarks
Qwen QwQ 32B
10 of 10 Wins
✓Preference Elo✓Coding Elo✓LiveBench✓SWE-bench✓GPQA Diamond✓Time to first token✓Output speed✓Input price✓Output price✓Context window
Meta
Llama 3.1 405B

Meta flagship open-weight 405B dense foundation model with 128k context window.

Elo 1,370$3.5/1M out
Alibaba
Leads 10 of 10 metrics
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

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.

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 Llama 3.1 405B
All Matchups
Compare vs:vs Claude Opus 4.5vs GPT-5vs Gemini 3 Provs Grok 4.6vs DeepSeek V4 Pro
Preference LeaderQwen QwQ 32B Wins

Qwen QwQ 32B

Δ 125 Arena Elo pts

Throughput LeaderQwen QwQ 32B Wins

Qwen QwQ 32B

68 tok/s

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 Western standard models with China's leading frontier rival across 6 skill dimensions. Tap any spoke or dot to inspect.

Tap any node to inspect
Percentile 0–100
Head-to-Head Comparison

Overall Matchup Breakdown

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

Llama 3.1 405B (0)vsQwen QwQ 32B (10)
Llama 3.1 405B: 0W (0%)Overall: Qwen QwQ 32BQwen QwQ 32B: 10W (100%)
← Llama 3.1 405BQwen QwQ 32B →
🏆Qwen QwQ 32B(5/5)

Intelligence & Reasoning

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

Benchmark
Llama 3.1 405BvsQwen QwQ 32B
Preference Elo
1,370vs1,495+125
Coding Elo
1,385vs1,520+135
SWE-bench
58.4%vs67.5%+9.1%
LiveBench
61.2%vs68%+6.8%
GPQA Diamond
75.2%vs83.2%+8%
Llama 3.1 405B: 0WQwen QwQ 32B: 5W
🏆Qwen QwQ 32B(2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Benchmark
Llama 3.1 405BvsQwen QwQ 32B
Output speed
42 tok/svs68 tok/s+26 tok/s
Time to first token
360 msvs320 ms+40 ms
Llama 3.1 405B: 0WQwen QwQ 32B: 2W
🏆Qwen QwQ 32B(3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Benchmark
Llama 3.1 405BvsQwen QwQ 32B
Output price
$3.5/1Mvs$1.2/1M+$2.3/1M
Input price
$1.25/1Mvs$0.3/1M+$0.95/1M
Context window
128kvs131k+3k
Llama 3.1 405B: 0WQwen QwQ 32B: 3W

Side-by-Side Benchmark Matrix

Preference Elo+125
Llama 3.1 405B1,370
seed-bootstrap · Aug 1, 2026
Qwen QwQ 32B1,495
seed-bootstrap · Aug 1, 2026
Coding Elo+135
Llama 3.1 405B1,385
seed-bootstrap · Aug 1, 2026
Qwen QwQ 32B1,520
seed-bootstrap · Aug 1, 2026
LiveBench+6.8%
Llama 3.1 405B61.2%
seed-bootstrap · Aug 1, 2026
Qwen QwQ 32B68%
seed-bootstrap · Aug 1, 2026
SWE-bench+9.1%
Llama 3.1 405B58.4%
seed-bootstrap · Aug 1, 2026
Qwen QwQ 32B67.5%
seed-bootstrap · Aug 1, 2026
GPQA Diamond+8%
Llama 3.1 405B75.2%
seed-bootstrap · Aug 1, 2026
Qwen QwQ 32B83.2%
seed-bootstrap · Aug 1, 2026
Time to first token+40 ms
Llama 3.1 405B360 ms
seed-bootstrap · Aug 1, 2026
Qwen QwQ 32B320 ms
seed-bootstrap · Aug 1, 2026
Output speed+26 tok/s
Llama 3.1 405B42 tok/s
seed-bootstrap · Aug 1, 2026
Qwen QwQ 32B68 tok/s
seed-bootstrap · Aug 1, 2026
Input price+$0.95/1M
Llama 3.1 405B$1.25/1M
seed-bootstrap · Aug 1, 2026
Qwen QwQ 32B$0.3/1M
seed-bootstrap · Aug 1, 2026
Output price+$2.3/1M
Llama 3.1 405B$3.5/1M
seed-bootstrap · Aug 1, 2026
Qwen QwQ 32B$1.2/1M
seed-bootstrap · Aug 1, 2026
Context window+3k
Llama 3.1 405B128k
seed-bootstrap · Aug 1, 2026
Qwen QwQ 32B131k
seed-bootstrap · Aug 1, 2026
BenchmarkLlama 3.1 405BQwen QwQ 32BAdvantage Delta
Preference Elo
1,370
seed-bootstrap · Aug 1, 2026
1,495
seed-bootstrap · Aug 1, 2026
+125
Coding Elo
1,385
seed-bootstrap · Aug 1, 2026
1,520
seed-bootstrap · Aug 1, 2026
+135
LiveBench
61.2%
seed-bootstrap · Aug 1, 2026
68%
seed-bootstrap · Aug 1, 2026
+6.8%
SWE-bench
58.4%
seed-bootstrap · Aug 1, 2026
67.5%
seed-bootstrap · Aug 1, 2026
+9.1%
GPQA Diamond
75.2%
seed-bootstrap · Aug 1, 2026
83.2%
seed-bootstrap · Aug 1, 2026
+8%
Time to first token
360 ms
seed-bootstrap · Aug 1, 2026
320 ms
seed-bootstrap · Aug 1, 2026
+40 ms
Output speed
42 tok/s
seed-bootstrap · Aug 1, 2026
68 tok/s
seed-bootstrap · Aug 1, 2026
+26 tok/s
Input price
$1.25/1M
seed-bootstrap · Aug 1, 2026
$0.3/1M
seed-bootstrap · Aug 1, 2026
+$0.95/1M
Output price
$3.5/1M
seed-bootstrap · Aug 1, 2026
$1.2/1M
seed-bootstrap · Aug 1, 2026
+$2.3/1M
Context window
128k
seed-bootstrap · Aug 1, 2026
131k
seed-bootstrap · Aug 1, 2026
+3k
Interactive Simulator (USD)

Workload Cost & Savings Calculator

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

Save up to 70% 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)
Llama 3.1 405B$96.25 / mo
In: $43.75Out: $52.5
Qwen QwQ 32B$28.50 / mo
In: $10.5Out: $18
Estimated Cost Delta

Qwen QwQ 32B is estimated to save $67.75/month ($813/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

  • 1
    Qwen QwQ 32B:Pick Qwen QwQ 32B when repo-level coding accuracy is the constraint.
  • 2
    Qwen QwQ 32B:Pick Qwen QwQ 32B when time-to-first-token matters more than peak Elo.
  • 3
    Qwen QwQ 32B:Pick Qwen QwQ 32B as the default general assistant.

Recommended Workload Routing

Repo / coding agentsQwen QwQ 32B

Higher SWE-bench (67.5%).

High-volume chatQwen QwQ 32B

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

Voice / low-latency UIQwen QwQ 32B

Lower TTFT (320 ms).

Long-document RAGQwen QwQ 32B

Larger window (131k).

Screenshots / visionQwen QwQ 32B

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

Target WorkloadRecommended PickEvaluation Rationale
Repo / coding agentsQwen QwQ 32BHigher SWE-bench (67.5%).
High-volume chatQwen QwQ 32BLower output list price ($1.2/1M).
Voice / low-latency UIQwen QwQ 32BLower TTFT (320 ms).
Long-document RAGQwen QwQ 32BLarger window (131k).
Screenshots / visionQwen QwQ 32BQwen QwQ 32B is the side marked multimodal in the catalog.
Community Sentiment

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CompareLLM AI Matrix

Verified Head-to-Head Telemetry

LIVE BENCHMARK
VS
Meta

Llama 3.1 405B

Elo 1,370
SWE-bench58.4%
Speed (tok/s)42 tok/s
Input / 1M Tokens$1.25/1M
Output / 1M Tokens$3.5/1M
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, Llama 3.1 405B or Qwen QwQ 32B?
Qwen QwQ 32B has the higher preference Elo in our latest snapshot (1,495). “Better” still depends on coding, price, and latency — see the table.
Which is better at coding, Llama 3.1 405B or Qwen QwQ 32B?
Qwen QwQ 32B leads SWE-bench at 67.5% vs 58.4%. SWE-bench is one harness, not your repo.
Which is cheaper to run in production?
Qwen QwQ 32B output tokens are $1.2/1M versus $3.5/1M. Input prices and retry rates still move the real bill.
Which is faster, Llama 3.1 405B or Qwen QwQ 32B?
Qwen QwQ 32B has the lower time-to-first-token (320 ms vs 360 ms). Tokens/sec is a separate column if you care about long completions.
Which has the larger context window?
Qwen QwQ 32B accepts 131k tokens versus 128k.
Can I self-host either model?
Both Llama 3.1 405B and Qwen QwQ 32B are marked open-weights. Hosting cost is not in this table.
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. Llama 3.1 405B 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 Llama 3.1 405B matchups →|All Qwen QwQ 32B matchups →
Llama 3.1 405B vs Llama 3.1 70B (next llama)Qwen QwQ 32B vs Qwen3 235B (previous qwen)Llama 4 Maverick vs Qwen QwQ 32BQwen3.8 27B vs Llama 3.1 405BLlama 4 Scout vs Llama 3.1 405BQwen 2.5 Coder 32B vs Llama 3.1 405B