Pairwise benchmark snapshot · Aug 1, 2026

Claude 3 Opus vs Qwen QwQ 32B benchmark

Name: Claude 3 Opus vs Qwen QwQ 32B AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares Claude 3 Opus (Anthropic) 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 247 points (1,495 vs 1,248; seed-bootstrap (Aug 1, 2026)). On SWE-bench coding, Qwen QwQ 32B resolves 67.5% versus 38.4% (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). Claude 3 Opus has the larger context window (200k 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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Anthropic

Claude 3 Opus

Original Claude 3 flagship. Kept so opus 3 vs later Opus and vs GPT-4o still resolve.

Elo 1,248$75/1M 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.

Claude 3 Opus (1)vsQwen QwQ 32B (9)

Claude 3 Opus: 1W (10%)Overall: Qwen QwQ 32BQwen QwQ 32B: 9W (90%)

← Claude 3 OpusQwen QwQ 32B →

Qwen QwQ 32B (5/5)

Intelligence & Reasoning

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

Preference Elo

1,248vs1,495

Coding Elo

—vs1,520

SWE-bench

38.4%vs67.5%

LiveBench

46.2%vs68%

GPQA Diamond

50.4%vs83.2%

Claude 3 Opus: 0WQwen QwQ 32B: 5W

Qwen QwQ 32B (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

48 tok/svs68 tok/s

Time to first token

420 msvs320 ms

Claude 3 Opus: 0WQwen QwQ 32B: 2W

Qwen QwQ 32B (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$75/1Mvs$1.2/1M

Input price

$15/1Mvs$0.3/1M

Context window

200kvs131k

Claude 3 Opus: 1WQwen QwQ 32B: 2W

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 5/6

Preference Elo

Qwen QwQ 32B

247 pts advantage

Throughput Speed

Qwen QwQ 32B

20 tok/s faster

Price Efficiency

Qwen QwQ 32B

$73.80/1M cheaper

Full Benchmark Score Matrix

—

Elo

High is better

1,248

EloHigh is better

1,495+20%

Code Elo

High is better

—

Code EloHigh is better

1,520

LiveBench

High is better

46.2%

LiveBenchHigh is better

68%+47%

SWE-bench

High is better

38.4%

SWE-benchHigh is better

67.5%+76%

GPQA

High is better

50.4%

GPQAHigh is better

83.2%+65%

TTFT

Low is better

420 ms

TTFTLow is better

320 ms+31%

Speed

High is better

48 tok/s

SpeedHigh is better

68 tok/s+42%

In $

Low is better

$15/1M

In $Low is better

$0.3/1M+4900%

Out $

Low is better

$75/1M

Out $Low is better

$1.2/1M+6150%

Context

High is better

+53%200k

ContextHigh is better

131k

Interactive Simulator

Workload Cost & Savings Calculator

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

Save up to 98% 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)

Claude 3 Opus$1,650.00 / mo

In: $525.00Out: $1125.00

Qwen QwQ 32B$28.50 / mo

In: $10.50Out: $18.00

Estimated Cost Delta

Qwen QwQ 32B is estimated to save $1,621.50/month ($19,458/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 RAGClaude 3 Opus

Larger window (200k).

Screenshots / visionClaude 3 Opus

Claude 3 Opus 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	Claude 3 Opus	Larger window (200k).
Screenshots / vision	Claude 3 Opus	Claude 3 Opus is the side marked multimodal in the catalog.

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LIVE

Anthropic

Claude 3 Opus

Elo 1,248

LiveBench46.2%

SWE-bench38.4%

Speed48 tok/s

Output cost$75/1M

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, Claude 3 Opus 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, Claude 3 Opus or Qwen QwQ 32B?: Qwen QwQ 32B leads SWE-bench at 67.5% vs 38.4%. 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 $75/1M. Input prices and retry rates still move the real bill.
Which is faster, Claude 3 Opus 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?: Claude 3 Opus accepts 200k 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. Claude 3 Opus 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 Claude 3 Opus matchups →|All Qwen QwQ 32B matchups →

Claude 3 Opus vs Claude Opus 4 (next opus)Qwen QwQ 32B vs Qwen3 235B (previous qwen)Qwen QwQ 32B vs Qwen 3 Max (next qwen)Claude Opus 4.5 vs Qwen QwQ 32B Claude Opus 4.6 vs Qwen QwQ 32B Claude Sonnet 4.5 vs Qwen QwQ 32B

Claude 3 Opus vs Qwen QwQ 32B benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Claude 3 Opus (1)vsQwen QwQ 32B (9)

Claude 3 Opus: 1W (10%)Overall: Qwen QwQ 32BQwen QwQ 32B: 9W (90%)

← Claude 3 OpusQwen QwQ 32B →

Qwen QwQ 32B (5/5)

Intelligence & Reasoning

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

Preference Elo

1,248vs1,495

Coding Elo

—vs1,520

SWE-bench

38.4%vs67.5%

LiveBench

46.2%vs68%

GPQA Diamond

50.4%vs83.2%

Claude 3 Opus: 0WQwen QwQ 32B: 5W

Qwen QwQ 32B (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

48 tok/svs68 tok/s

Time to first token

420 msvs320 ms

Claude 3 Opus: 0WQwen QwQ 32B: 2W

Qwen QwQ 32B (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$75/1Mvs$1.2/1M

Input price

$15/1Mvs$0.3/1M

Context window

200kvs131k

Claude 3 Opus: 1WQwen QwQ 32B: 2W

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 RAGClaude 3 Opus

Larger window (200k).

Screenshots / visionClaude 3 Opus

Claude 3 Opus 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	Claude 3 Opus	Larger window (200k).
Screenshots / vision	Claude 3 Opus	Claude 3 Opus is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, Claude 3 Opus 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, Claude 3 Opus or Qwen QwQ 32B?

Qwen QwQ 32B leads SWE-bench at 67.5% vs 38.4%. 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 $75/1M. Input prices and retry rates still move the real bill.

Which is faster, Claude 3 Opus 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?

Claude 3 Opus accepts 200k 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. Claude 3 Opus and Qwen QwQ 32B Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.