Pairwise benchmark snapshot · Aug 16, 2026

GPT-4 Turbo vs Qwen QwQ 32B benchmark

Name: GPT-4 Turbo vs Qwen QwQ 32B AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares GPT-4 Turbo (OpenAI) 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 240 points (1,495 vs 1,255; seed-bootstrap (Aug 1, 2026)). On SWE-bench coding, Qwen QwQ 32B resolves 67.5% versus 33.2% (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.

Share Analysis:

WhatsApp Telegram X / Post LinkedIn Reddit

OpenAI

GPT-4 Turbo

GPT-4 Turbo 128k. Historical flagship for gpt-4 turbo vs gpt-4o / gpt-5.

Elo 1,255$30/1M out

Alibaba

Qwen QwQ 32B

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

Elo 1,495$1.2/1M out

Swap or Add Any Model to this Matchup

Instant pairwise benchmark recalculation across 400+ LLMs

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.

GPT-4 Turbo (0)vsQwen QwQ 32B (10)

GPT-4 Turbo: 0W (0%)Overall: Qwen QwQ 32BQwen QwQ 32B: 10W (100%)

← GPT-4 TurboQwen QwQ 32B →

Qwen QwQ 32B (5/5)

Intelligence & Reasoning

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

Preference Elo

1,255vs1,495

Coding Elo

—vs1,520

SWE-bench

33.2%vs67.5%

LiveBench

47%vs68%

GPQA Diamond

48%vs83.2%

GPT-4 Turbo: 0WQwen QwQ 32B: 5W

Qwen QwQ 32B (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

55 tok/svs68 tok/s

Time to first token

350 msvs320 ms

GPT-4 Turbo: 0WQwen QwQ 32B: 2W

Qwen QwQ 32B (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$30/1Mvs$1.2/1M

Input price

$10/1Mvs$0.3/1M

Context window

128kvs131k

GPT-4 Turbo: 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

240 pts advantage

Throughput Speed

Qwen QwQ 32B

13 tok/s faster

Price Efficiency

Qwen QwQ 32B

$28.80/1M cheaper

Full Benchmark Score Matrix

—

Elo

High is better

1,255

EloHigh is better

1,495+19%

Code Elo

High is better

—

Code EloHigh is better

1,520

LiveBench

High is better

47%

LiveBenchHigh is better

68%+45%

SWE-bench

High is better

33.2%

SWE-benchHigh is better

67.5%+103%

GPQA

High is better

48%

GPQAHigh is better

83.2%+73%

TTFT

Low is better

350 ms

TTFTLow is better

320 ms+9%

Speed

High is better

55 tok/s

SpeedHigh is better

68 tok/s+24%

In $

Low is better

$10/1M

In $Low is better

$0.3/1M+3233%

Out $

Low is better

$30/1M

Out $Low is better

$1.2/1M+2400%

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 96% 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)

GPT-4 Turbo$800.00 / mo

In: $350.00Out: $450.00

Qwen QwQ 32B$28.50 / mo

In: $10.50Out: $18.00

Estimated Cost Delta

Qwen QwQ 32B is estimated to save $771.50/month ($9,258/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 / visionGPT-4 Turbo

GPT-4 Turbo 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	GPT-4 Turbo	GPT-4 Turbo is the side marked multimodal in the catalog.

Community Sentiment

Cast Your Matchup Vote

0 total votes

Community Discussions (0)

No comments posted on this matchup yet. Be the first to share an evaluation note!

Share card

The real PNG is generated at /compare/gpt-4-turbo-vs-qwq-32b/opengraph-image for crawlers.

PNG

CompareLLM Matrix

Verified head-to-head card

LIVE

OpenAI

GPT-4 Turbo

Elo 1,255

LiveBench47%

SWE-bench33.2%

Speed55 tok/s

Output cost$30/1M

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, GPT-4 Turbo 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, GPT-4 Turbo or Qwen QwQ 32B?: Qwen QwQ 32B leads SWE-bench at 67.5% vs 33.2%. 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 $30/1M. Input prices and retry rates still move the real bill.
Which is faster, GPT-4 Turbo or Qwen QwQ 32B?: Qwen QwQ 32B has the lower time-to-first-token (320 ms vs 350 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. GPT-4 Turbo 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 GPT-4 Turbo matchups →|All Qwen QwQ 32B matchups →

GPT-4 Turbo vs GPT-4o (next gpt-flagship)Qwen QwQ 32B vs Qwen3 235B (previous qwen)Qwen QwQ 32B vs Qwen 3 Max (next qwen)GPT-5 vs Qwen QwQ 32B GPT-4.5 Orion vs Qwen QwQ 32B GPT-5.6 Sol vs Qwen QwQ 32B

GPT-4 Turbo vs Qwen QwQ 32B benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

GPT-4 Turbo (0)vsQwen QwQ 32B (10)

GPT-4 Turbo: 0W (0%)Overall: Qwen QwQ 32BQwen QwQ 32B: 10W (100%)

← GPT-4 TurboQwen QwQ 32B →

Qwen QwQ 32B (5/5)

Intelligence & Reasoning

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

Preference Elo

1,255vs1,495

Coding Elo

—vs1,520

SWE-bench

33.2%vs67.5%

LiveBench

47%vs68%

GPQA Diamond

48%vs83.2%

GPT-4 Turbo: 0WQwen QwQ 32B: 5W

Qwen QwQ 32B (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

55 tok/svs68 tok/s

Time to first token

350 msvs320 ms

GPT-4 Turbo: 0WQwen QwQ 32B: 2W

Qwen QwQ 32B (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$30/1Mvs$1.2/1M

Input price

$10/1Mvs$0.3/1M

Context window

128kvs131k

GPT-4 Turbo: 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 / visionGPT-4 Turbo

GPT-4 Turbo 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	GPT-4 Turbo	GPT-4 Turbo is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, GPT-4 Turbo 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, GPT-4 Turbo or Qwen QwQ 32B?

Qwen QwQ 32B leads SWE-bench at 67.5% vs 33.2%. 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 $30/1M. Input prices and retry rates still move the real bill.

Which is faster, GPT-4 Turbo or Qwen QwQ 32B?

Qwen QwQ 32B has the lower time-to-first-token (320 ms vs 350 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. GPT-4 Turbo and Qwen QwQ 32B Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.