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Every score has a dated snapshot.

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  3. Gemini 1.5 Pro vs Qwen QwQ 32B

Pairwise benchmark snapshot · Aug 1, 2026

Gemini 1.5 Pro 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 1,260), 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, while Gemini 1.5 Pro provides faster response streaming (70 tok/s). 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 Gemini 1.5 Pro 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

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

Gemini 1.5 Pro (3)Qwen QwQ 32B (6)
Gemini 1.5 Pro
3 of 9 Wins
✓Time to first token✓Output speed✓Context window
Qwen QwQ 32B
6 of 9 Wins
✓Preference Elo✓LiveBench✓SWE-bench✓GPQA Diamond✓Input price✓Output price
Google
Leads 3 of 9 metrics
Gemini 1.5 Pro

First million-token Gemini Pro. Baseline for 1.5 vs 2.5 vs 3.x Pro.

Elo 1,260$5/1M out
Alibaba
Leads 6 of 9 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 Gemini 1.5 Pro
All Matchups
Compare vs:vs Claude Opus 4.5vs GPT-5vs Grok 4.6vs DeepSeek V4 Provs Qwen 3 Max
Preference LeaderQwen QwQ 32B Wins

Qwen QwQ 32B

Δ 235 Arena Elo pts

Throughput LeaderGemini 1.5 Pro Wins

Gemini 1.5 Pro

70 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.

Gemini 1.5 Pro (3)vsQwen QwQ 32B (7)
Gemini 1.5 Pro: 3W (30%)Overall: Qwen QwQ 32BQwen QwQ 32B: 7W (70%)
← Gemini 1.5 ProQwen QwQ 32B →
🏆Qwen QwQ 32B(5/5)

Intelligence & Reasoning

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

Benchmark
Gemini 1.5 ProvsQwen QwQ 32B
Preference Elo
1,260vs1,495+235
Coding Elo
—vs1,520
SWE-bench
38%vs67.5%+29.5%
LiveBench
49.2%vs68%+18.8%
GPQA Diamond
58%vs83.2%+25.2%
Gemini 1.5 Pro: 0WQwen QwQ 32B: 5W
🏆Gemini 1.5 Pro(2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Benchmark
Gemini 1.5 ProvsQwen QwQ 32B
Output speed
70 tok/svs68 tok/s+2 tok/s
Time to first token
240 msvs320 ms+80 ms
Gemini 1.5 Pro: 2WQwen QwQ 32B: 0W
🏆Qwen QwQ 32B(2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Benchmark
Gemini 1.5 ProvsQwen QwQ 32B
Output price
$5/1Mvs$1.2/1M+$3.8/1M
Input price
$1.25/1Mvs$0.3/1M+$0.95/1M
Context window
2Mvs131k+1.9M
Gemini 1.5 Pro: 1WQwen QwQ 32B: 2W

Side-by-Side Benchmark Matrix

Preference Elo+235
Gemini 1.5 Pro1,260
seed-bootstrap · Aug 1, 2026
Qwen QwQ 32B1,495
seed-bootstrap · Aug 1, 2026
Coding Elo
Gemini 1.5 Pro—
Qwen QwQ 32B1,520
seed-bootstrap · Aug 1, 2026
LiveBench+18.8%
Gemini 1.5 Pro49.2%
seed-bootstrap · Aug 1, 2026
Qwen QwQ 32B68%
seed-bootstrap · Aug 1, 2026
SWE-bench+29.5%
Gemini 1.5 Pro38%
seed-bootstrap · Aug 1, 2026
Qwen QwQ 32B67.5%
seed-bootstrap · Aug 1, 2026
GPQA Diamond+25.2%
Gemini 1.5 Pro58%
seed-bootstrap · Aug 1, 2026
Qwen QwQ 32B83.2%
seed-bootstrap · Aug 1, 2026
Time to first token+80 ms
Gemini 1.5 Pro240 ms
seed-bootstrap · Aug 1, 2026
Qwen QwQ 32B320 ms
seed-bootstrap · Aug 1, 2026
Output speed+2 tok/s
Gemini 1.5 Pro70 tok/s
seed-bootstrap · Aug 1, 2026
Qwen QwQ 32B68 tok/s
seed-bootstrap · Aug 1, 2026
Input price+$0.95/1M
Gemini 1.5 Pro$1.25/1M
seed-bootstrap · Aug 1, 2026
Qwen QwQ 32B$0.3/1M
seed-bootstrap · Aug 1, 2026
Output price+$3.8/1M
Gemini 1.5 Pro$5/1M
seed-bootstrap · Aug 1, 2026
Qwen QwQ 32B$1.2/1M
seed-bootstrap · Aug 1, 2026
Context window+1.9M
Gemini 1.5 Pro2M
seed-bootstrap · Aug 1, 2026
Qwen QwQ 32B131k
seed-bootstrap · Aug 1, 2026
BenchmarkGemini 1.5 ProQwen QwQ 32BAdvantage Delta
Preference Elo
1,260
seed-bootstrap · Aug 1, 2026
1,495
seed-bootstrap · Aug 1, 2026
+235
Coding Elo—
1,520
seed-bootstrap · Aug 1, 2026
—
LiveBench
49.2%
seed-bootstrap · Aug 1, 2026
68%
seed-bootstrap · Aug 1, 2026
+18.8%
SWE-bench
38%
seed-bootstrap · Aug 1, 2026
67.5%
seed-bootstrap · Aug 1, 2026
+29.5%
GPQA Diamond
58%
seed-bootstrap · Aug 1, 2026
83.2%
seed-bootstrap · Aug 1, 2026
+25.2%
Time to first token
240 ms
seed-bootstrap · Aug 1, 2026
320 ms
seed-bootstrap · Aug 1, 2026
+80 ms
Output speed
70 tok/s
seed-bootstrap · Aug 1, 2026
68 tok/s
seed-bootstrap · Aug 1, 2026
+2 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
$5/1M
seed-bootstrap · Aug 1, 2026
$1.2/1M
seed-bootstrap · Aug 1, 2026
+$3.8/1M
Context window
2M
seed-bootstrap · Aug 1, 2026
131k
seed-bootstrap · Aug 1, 2026
+1.9M
Interactive Simulator (USD)

Workload Cost & Savings Calculator

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

Save up to 76% 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)
Gemini 1.5 Pro$118.75 / mo
In: $43.75Out: $75
Qwen QwQ 32B$28.50 / mo
In: $10.5Out: $18
Estimated Cost Delta

Qwen QwQ 32B is estimated to save $90.25/month ($1,083/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
    Gemini 1.5 Pro:Pick Gemini 1.5 Pro when time-to-first-token matters more than peak Elo.
  • 3
    Gemini 1.5 Pro:Pick Gemini 1.5 Pro for million-token RAG or long-document jobs.

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 UIGemini 1.5 Pro

Lower TTFT (240 ms).

Long-document RAGGemini 1.5 Pro

Larger window (2M).

Screenshots / visionGemini 1.5 Pro

Gemini 1.5 Pro 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 UIGemini 1.5 ProLower TTFT (240 ms).
Long-document RAGGemini 1.5 ProLarger window (2M).
Screenshots / visionGemini 1.5 ProGemini 1.5 Pro 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
Google

Gemini 1.5 Pro

Elo 1,260
SWE-bench38%
Speed (tok/s)70 tok/s
Input / 1M Tokens$1.25/1M
Output / 1M Tokens$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, Gemini 1.5 Pro 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, Gemini 1.5 Pro or Qwen QwQ 32B?
Qwen QwQ 32B leads SWE-bench at 67.5% vs 38%. 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 $5/1M. Input prices and retry rates still move the real bill.
Which is faster, Gemini 1.5 Pro or Qwen QwQ 32B?
Gemini 1.5 Pro has the lower time-to-first-token (240 ms vs 320 ms). Tokens/sec is a separate column if you care about long completions.
Which has the larger context window?
Gemini 1.5 Pro 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. Gemini 1.5 Pro 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 Gemini 1.5 Pro matchups →|All Qwen QwQ 32B matchups →
Gemini 1.5 Pro vs Gemini 2.5 Pro (next gemini-pro)Qwen QwQ 32B vs Qwen3 235B (previous qwen)Gemini 3 Pro vs Qwen QwQ 32BGemini 3 Flash vs Qwen QwQ 32BQwen 3 Max vs Qwen QwQ 32BGemini 2.0 Flash Thinking vs Qwen QwQ 32B