Pairwise benchmark snapshot · Aug 16, 2026

DeepSeek R1 vs Qwen QwQ 32B benchmark

Name: DeepSeek R1 vs Qwen QwQ 32B AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares DeepSeek R1 (DeepSeek) and Qwen QwQ 32B (Alibaba) using the latest snapshots we have as of Aug 16, 2026. On preference Elo, Qwen QwQ 32B is ahead by 137 points (1,495 vs 1,358; seed-bootstrap (Aug 1, 2026)). On SWE-bench coding, Qwen QwQ 32B resolves 67.5% versus 65.2% (seed-bootstrap (Aug 1, 2026)). Qwen QwQ 32B streams faster (68 tok/s) while Qwen QwQ 32B is the cheaper output token ($1.2/1M). 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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DeepSeek

DeepSeek R1

Open-weights reasoning model trained with large-scale RL.

Elo 1,358$2.5/1M 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.

DeepSeek R1 (0)vsQwen QwQ 32B (10)

DeepSeek R1: 0W (0%)Overall: Qwen QwQ 32BQwen QwQ 32B: 10W (100%)

← DeepSeek R1Qwen QwQ 32B →

Qwen QwQ 32B (5/5)

Intelligence & Reasoning

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

Preference Elo

1,358vs1,495

Coding Elo

—vs1,520

SWE-bench

65.2%vs67.5%

LiveBench

59%vs68%

GPQA Diamond

79.8%vs83.2%

DeepSeek R1: 0WQwen QwQ 32B: 5W

Qwen QwQ 32B (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

62 tok/svs68 tok/s

Time to first token

420 msvs320 ms

DeepSeek R1: 0WQwen QwQ 32B: 2W

Qwen QwQ 32B (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$2.5/1Mvs$1.2/1M

Input price

$0.7/1Mvs$0.3/1M

Context window

64kvs131k

DeepSeek R1: 0WQwen QwQ 32B: 3W

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 6/6

Preference Elo

Qwen QwQ 32B

137 pts advantage

Throughput Speed

Qwen QwQ 32B

6 tok/s faster

Price Efficiency

Qwen QwQ 32B

$1.30/1M cheaper

Full Benchmark Score Matrix

—

Elo

High is better

1,358

EloHigh is better

1,495+10%

Code Elo

High is better

—

Code EloHigh is better

1,520

LiveBench

High is better

59%

LiveBenchHigh is better

68%+15%

SWE-bench

High is better

65.2%

SWE-benchHigh is better

67.5%+4%

GPQA

High is better

79.8%

GPQAHigh is better

83.2%+4%

TTFT

Low is better

420 ms

TTFTLow is better

320 ms+31%

Speed

High is better

62 tok/s

SpeedHigh is better

68 tok/s+10%

In $

Low is better

$0.7/1M

In $Low is better

$0.3/1M+133%

Out $

Low is better

$2.5/1M

Out $Low is better

$1.2/1M+108%

Context

High is better

64k

ContextHigh is better

131k+105%

Interactive Simulator

Workload Cost & Savings Calculator

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

Save up to 54% 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)

DeepSeek R1$62.00 / mo

In: $24.50Out: $37.50

Qwen QwQ 32B$28.50 / mo

In: $10.50Out: $18.00

Estimated Cost Delta

Qwen QwQ 32B is estimated to save $33.50/month ($402/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 Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	Qwen QwQ 32B	Higher SWE-bench (67.5%).
High-volume chat	Qwen QwQ 32B	Lower output list price ($1.2/1M).
Voice / low-latency UI	Qwen QwQ 32B	Lower TTFT (320 ms).
Long-document RAG	Qwen QwQ 32B	Larger window (131k).
Screenshots / vision	Qwen QwQ 32B	Qwen QwQ 32B is the side marked multimodal in the catalog.

Related Editorial Dispatches & Benchmark Notes

View all news

launchJan 20, 2025

DeepSeek R1 stays as the open-weights RL baseline

Jan 2025 reasoning model. Still searched. V4 Pro is the newer DeepSeek buy.

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LIVE

DeepSeek

DeepSeek R1

Elo 1,358

LiveBench59%

SWE-bench65.2%

Speed62 tok/s

Output cost$2.5/1M

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, DeepSeek R1 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, DeepSeek R1 or Qwen QwQ 32B?: Qwen QwQ 32B leads SWE-bench at 67.5% vs 65.2%. 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 $2.5/1M. Input prices and retry rates still move the real bill.
Which is faster, DeepSeek R1 or Qwen QwQ 32B?: Qwen QwQ 32B has the lower time-to-first-token (320 ms vs 420 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 64k.
Can I self-host either model?: Both DeepSeek R1 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. DeepSeek R1 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 DeepSeek R1 matchups →|All Qwen QwQ 32B matchups →

DeepSeek R1 vs DeepSeek V3 (previous deepseek)DeepSeek R1 vs DeepSeek V4 Pro (next deepseek)Qwen QwQ 32B vs Qwen3 235B (previous qwen)Qwen QwQ 32B vs Qwen 3 Max (next qwen)DeepSeek V4 Flash vs Qwen QwQ 32B DeepSeek V4 Pro vs Qwen QwQ 32B

DeepSeek R1 vs Qwen QwQ 32B benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

DeepSeek R1 (0)vsQwen QwQ 32B (10)

DeepSeek R1: 0W (0%)Overall: Qwen QwQ 32BQwen QwQ 32B: 10W (100%)

← DeepSeek R1Qwen QwQ 32B →

Qwen QwQ 32B (5/5)

Intelligence & Reasoning

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

Preference Elo

1,358vs1,495

Coding Elo

—vs1,520

SWE-bench

65.2%vs67.5%

LiveBench

59%vs68%

GPQA Diamond

79.8%vs83.2%

DeepSeek R1: 0WQwen QwQ 32B: 5W

Qwen QwQ 32B (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

62 tok/svs68 tok/s

Time to first token

420 msvs320 ms

DeepSeek R1: 0WQwen QwQ 32B: 2W

Qwen QwQ 32B (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$2.5/1Mvs$1.2/1M

Input price

$0.7/1Mvs$0.3/1M

Context window

64kvs131k

DeepSeek R1: 0WQwen QwQ 32B: 3W

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 Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	Qwen QwQ 32B	Higher SWE-bench (67.5%).
High-volume chat	Qwen QwQ 32B	Lower output list price ($1.2/1M).
Voice / low-latency UI	Qwen QwQ 32B	Lower TTFT (320 ms).
Long-document RAG	Qwen QwQ 32B	Larger window (131k).
Screenshots / vision	Qwen QwQ 32B	Qwen QwQ 32B is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, DeepSeek R1 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, DeepSeek R1 or Qwen QwQ 32B?

Qwen QwQ 32B leads SWE-bench at 67.5% vs 65.2%. 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 $2.5/1M. Input prices and retry rates still move the real bill.

Which is faster, DeepSeek R1 or Qwen QwQ 32B?

Qwen QwQ 32B has the lower time-to-first-token (320 ms vs 420 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 64k.

Can I self-host either model?

Both DeepSeek R1 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. DeepSeek R1 and Qwen QwQ 32B Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Swap or Add Any Model to this Matchup

Interactive Comparison Diagram

Tug-of-War Matchup Matrix

Intelligence & Reasoning

Speed & Latency

Pricing & Capacity

Multi-Dimensional Capability Radar

Qwen QwQ 32B

Qwen QwQ 32B

Qwen QwQ 32B

Full Benchmark Score Matrix

Workload Cost & Savings Calculator

Key Selection Recommendations

Recommended Workload Routing

Related Editorial Dispatches & Benchmark Notes

DeepSeek R1 stays as the open-weights RL baseline

Cast Your Matchup Vote

Community Discussions (0)

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CompareLLM Matrix

DeepSeek R1

Qwen QwQ 32B

Frequently Asked Questions

Related news

Similar Head-to-Head Comparisons

Swap or Add Any Model to this Matchup

Interactive Comparison Diagram

Tug-of-War Matchup Matrix

Intelligence & Reasoning

Speed & Latency

Pricing & Capacity

Multi-Dimensional Capability Radar

Qwen QwQ 32B

Qwen QwQ 32B

Qwen QwQ 32B

Full Benchmark Score Matrix

Workload Cost & Savings Calculator

Key Selection Recommendations

Recommended Workload Routing

Related Editorial Dispatches & Benchmark Notes

DeepSeek R1 stays as the open-weights RL baseline

Cast Your Matchup Vote

Community Discussions (0)

Share card

CompareLLM Matrix

DeepSeek R1

Qwen QwQ 32B

Frequently Asked Questions

Related news

Similar Head-to-Head Comparisons