Pairwise benchmark snapshot · Aug 1, 2026

Qwen 2.5 Plus vs Qwen QwQ 32B benchmark

Name: Qwen 2.5 Plus vs Qwen QwQ 32B AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares Qwen 2.5 Plus (Alibaba) and Qwen QwQ 32B (Alibaba) using the latest snapshots we have as of Aug 1, 2026. On preference Elo, Qwen QwQ 32B is ahead by 50 points (1,495 vs 1,445; seed-bootstrap (Aug 1, 2026)). On SWE-bench coding, Qwen QwQ 32B resolves 67.5% versus 59.2% (seed-bootstrap (Aug 1, 2026)). Qwen 2.5 Plus streams faster (110 tok/s) while Qwen 2.5 Plus is the cheaper output token ($1/1M). Qwen QwQ 32B has the larger context window (131k tokens). Every cell below is a dated snapshot from a named public source — we do not invent missing scores, and we do not run SWE-bench ourselves.

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Alibaba

Qwen 2.5 Plus

Alibaba balanced flagship API model with high-throughput general reasoning.

Elo 1,445$1/1M out

Alibaba

Qwen QwQ 32B

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

Elo 1,495$1.2/1M out

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Model A

Model B

Quick vs:vs Claude Opus 4.5 vs Claude Opus 4.6 vs Claude Sonnet 4.5 vs Claude 3.7 Sonnet

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Qwen 2.5 Plus (4)vsQwen QwQ 32B (6)

Qwen 2.5 Plus: 4W (40%)Overall: Qwen QwQ 32BQwen QwQ 32B: 6W (60%)

← Qwen 2.5 PlusQwen QwQ 32B →

Qwen QwQ 32B (5/5)

Intelligence & Reasoning

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

Preference Elo

1,445vs1,495

Coding Elo

1,460vs1,520

SWE-bench

59.2%vs67.5%

LiveBench

63.5%vs68%

GPQA Diamond

75.8%vs83.2%

Qwen 2.5 Plus: 0WQwen QwQ 32B: 5W

Qwen 2.5 Plus (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

110 tok/svs68 tok/s

Time to first token

180 msvs320 ms

Qwen 2.5 Plus: 2WQwen QwQ 32B: 0W

Qwen 2.5 Plus (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$1/1Mvs$1.2/1M

Input price

$0.25/1Mvs$0.3/1M

Context window

128kvs131k

Qwen 2.5 Plus: 2WQwen QwQ 32B: 1W

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

Preference Elo

Qwen QwQ 32B

50 pts advantage

Throughput Speed

Qwen 2.5 Plus

42 tok/s faster

Price Efficiency

Qwen 2.5 Plus

$0.20/1M cheaper

Full Benchmark Score Matrix

—

Elo

High is better

1,445

EloHigh is better

1,495+3%

Code Elo

High is better

1,460

Code EloHigh is better

1,520+4%

LiveBench

High is better

63.5%

LiveBenchHigh is better

68%+7%

SWE-bench

High is better

59.2%

SWE-benchHigh is better

67.5%+14%

GPQA

High is better

75.8%

GPQAHigh is better

83.2%+10%

TTFT

Low is better

+78%180 ms

TTFTLow is better

320 ms

Speed

High is better

+62%110 tok/s

SpeedHigh is better

68 tok/s

In $

Low is better

+20%$0.25/1M

In $Low is better

$0.3/1M

Out $

Low is better

+20%$1/1M

Out $Low is better

$1.2/1M

Context

High is better

128k

ContextHigh is better

131k+2%

Interactive Simulator

Workload Cost & Savings Calculator

Simulate monthly production API costs based on published $/1M tokens.

Save up to 17% with Qwen 2.5 Plus

Monthly Volume50M tokens/mo

Quick Presets:

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

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

Qwen 2.5 Plus$23.75 / mo

In: $8.75Out: $15.00

Qwen QwQ 32B$28.50 / mo

In: $10.50Out: $18.00

Estimated Cost Delta

Qwen 2.5 Plus is estimated to save $4.75/month ($57/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 2.5 Plus:Pick Qwen 2.5 Plus when you are optimizing output cost.
3
Qwen 2.5 Plus:Pick Qwen 2.5 Plus when time-to-first-token matters more than peak Elo.

Recommended Workload Routing

Repo / coding agentsQwen QwQ 32B

Higher SWE-bench (67.5%).

High-volume chatQwen 2.5 Plus

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

Voice / low-latency UIQwen 2.5 Plus

Lower TTFT (180 ms).

Long-document RAGQwen QwQ 32B

Larger window (131k).

Screenshots / visionQwen 2.5 Plus

Qwen 2.5 Plus is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	Qwen QwQ 32B	Higher SWE-bench (67.5%).
High-volume chat	Qwen 2.5 Plus	Lower output list price ($1/1M).
Voice / low-latency UI	Qwen 2.5 Plus	Lower TTFT (180 ms).
Long-document RAG	Qwen QwQ 32B	Larger window (131k).
Screenshots / vision	Qwen 2.5 Plus	Qwen 2.5 Plus is the side marked multimodal in the catalog.

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LIVE

Alibaba

Qwen 2.5 Plus

Elo 1,445

LiveBench63.5%

SWE-bench59.2%

Speed110 tok/s

Output cost$1/1M

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, Qwen 2.5 Plus 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, Qwen 2.5 Plus or Qwen QwQ 32B?: Qwen QwQ 32B leads SWE-bench at 67.5% vs 59.2%. SWE-bench is one harness, not your repo.
Which is cheaper to run in production?: Qwen 2.5 Plus output tokens are $1/1M versus $1.2/1M. Input prices and retry rates still move the real bill.
Which is faster, Qwen 2.5 Plus or Qwen QwQ 32B?: Qwen 2.5 Plus has the lower time-to-first-token (180 ms vs 320 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?: 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 2.5 Plus 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 2.5 Plus matchups →|All Qwen QwQ 32B matchups →

Qwen 2.5 Plus vs Qwen 2.5 Coder 32B (next qwen)Qwen QwQ 32B vs Qwen3 235B (previous qwen)Qwen QwQ 32B vs Qwen 3 Max (next qwen)Qwen3 235B vs Qwen 2.5 Plus Qwen3.8 27B vs Qwen 2.5 Plus Mistral Large 3 vs Qwen 2.5 Plus

Qwen 2.5 Plus vs Qwen QwQ 32B benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Qwen 2.5 Plus (4)vsQwen QwQ 32B (6)

Qwen 2.5 Plus: 4W (40%)Overall: Qwen QwQ 32BQwen QwQ 32B: 6W (60%)

← Qwen 2.5 PlusQwen QwQ 32B →

Qwen QwQ 32B (5/5)

Intelligence & Reasoning

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

Preference Elo

1,445vs1,495

Coding Elo

1,460vs1,520

SWE-bench

59.2%vs67.5%

LiveBench

63.5%vs68%

GPQA Diamond

75.8%vs83.2%

Qwen 2.5 Plus: 0WQwen QwQ 32B: 5W

Qwen 2.5 Plus (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

110 tok/svs68 tok/s

Time to first token

180 msvs320 ms

Qwen 2.5 Plus: 2WQwen QwQ 32B: 0W

Qwen 2.5 Plus (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$1/1Mvs$1.2/1M

Input price

$0.25/1Mvs$0.3/1M

Context window

128kvs131k

Qwen 2.5 Plus: 2WQwen QwQ 32B: 1W

Recommended Workload Routing

Repo / coding agentsQwen QwQ 32B

Higher SWE-bench (67.5%).

High-volume chatQwen 2.5 Plus

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

Voice / low-latency UIQwen 2.5 Plus

Lower TTFT (180 ms).

Long-document RAGQwen QwQ 32B

Larger window (131k).

Screenshots / visionQwen 2.5 Plus

Qwen 2.5 Plus is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	Qwen QwQ 32B	Higher SWE-bench (67.5%).
High-volume chat	Qwen 2.5 Plus	Lower output list price ($1/1M).
Voice / low-latency UI	Qwen 2.5 Plus	Lower TTFT (180 ms).
Long-document RAG	Qwen QwQ 32B	Larger window (131k).
Screenshots / vision	Qwen 2.5 Plus	Qwen 2.5 Plus is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, Qwen 2.5 Plus 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, Qwen 2.5 Plus or Qwen QwQ 32B?

Qwen QwQ 32B leads SWE-bench at 67.5% vs 59.2%. SWE-bench is one harness, not your repo.

Which is cheaper to run in production?

Qwen 2.5 Plus output tokens are $1/1M versus $1.2/1M. Input prices and retry rates still move the real bill.

Which is faster, Qwen 2.5 Plus or Qwen QwQ 32B?

Qwen 2.5 Plus has the lower time-to-first-token (180 ms vs 320 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?

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