Pairwise benchmark snapshot · Aug 1, 2026

GPT-4.5 Orion vs Qwen QwQ 32B benchmark

Name: GPT-4.5 Orion vs Qwen QwQ 32B AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares GPT-4.5 Orion (OpenAI) and Qwen QwQ 32B (Alibaba) using the latest snapshots we have as of Aug 1, 2026. On preference Elo, GPT-4.5 Orion is ahead by 45 points (1,540 vs 1,495; seed-bootstrap (Aug 1, 2026)). On SWE-bench coding, GPT-4.5 Orion resolves 71% versus 67.5% (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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OpenAI

GPT-4.5 Orion

OpenAI largest dense non-reasoning model with expansive world knowledge and reduced hallucinations.

Elo 1,540$150/1M 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.

GPT-4.5 Orion (4)vsQwen QwQ 32B (5)

GPT-4.5 Orion: 4W (44%)Overall: Qwen QwQ 32BQwen QwQ 32B: 5W (56%)

← GPT-4.5 Orion1 tiesQwen QwQ 32B →

GPT-4.5 Orion (4/5)

Intelligence & Reasoning

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

Preference Elo

1,540vs1,495

Coding Elo

1,520vs1,520

SWE-bench

71%vs67.5%

LiveBench

68.5%vs68%

GPQA Diamond

84%vs83.2%

GPT-4.5 Orion: 4WQwen QwQ 32B: 0W

Qwen QwQ 32B (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

60 tok/svs68 tok/s

Time to first token

350 msvs320 ms

GPT-4.5 Orion: 0WQwen QwQ 32B: 2W

Qwen QwQ 32B (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$150/1Mvs$1.2/1M

Input price

$75/1Mvs$0.3/1M

Context window

128kvs131k

GPT-4.5 Orion: 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.

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Percentile 0–100

Dimensional AdvantageEven 3–3

Preference Elo

GPT-4.5 Orion

45 pts advantage

Throughput Speed

Qwen QwQ 32B

8 tok/s faster

Price Efficiency

Qwen QwQ 32B

$148.80/1M cheaper

Full Benchmark Score Matrix

—

Elo

High is better

+3%1,540

EloHigh is better

1,495

Code Elo

High is better

1,520

Code EloHigh is better

1,520

LiveBench

High is better

+1%68.5%

LiveBenchHigh is better

68%

SWE-bench

High is better

+5%71%

SWE-benchHigh is better

67.5%

GPQA

High is better

+1%84%

GPQAHigh is better

83.2%

TTFT

Low is better

350 ms

TTFTLow is better

320 ms+9%

Speed

High is better

60 tok/s

SpeedHigh is better

68 tok/s+13%

In $

Low is better

$75/1M

In $Low is better

$0.3/1M+24900%

Out $

Low is better

$150/1M

Out $Low is better

$1.2/1M+12400%

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 99% 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-4.5 Orion$4,875.00 / mo

In: $2625.00Out: $2250.00

Qwen QwQ 32B$28.50 / mo

In: $10.50Out: $18.00

Estimated Cost Delta

Qwen QwQ 32B is estimated to save $4,846.50/month ($58,158/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

1
GPT-4.5 Orion:Pick GPT-4.5 Orion when repo-level coding accuracy is the constraint.
2
Qwen QwQ 32B:Pick Qwen QwQ 32B when you are optimizing output cost.
3
Qwen QwQ 32B:Pick Qwen QwQ 32B when time-to-first-token matters more than peak Elo.

Recommended Workload Routing

Repo / coding agentsGPT-4.5 Orion

Higher SWE-bench (71%).

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-4.5 Orion

GPT-4.5 Orion is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	GPT-4.5 Orion	Higher SWE-bench (71%).
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-4.5 Orion	GPT-4.5 Orion is the side marked multimodal in the catalog.

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CompareLLM Matrix

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LIVE

OpenAI

GPT-4.5 Orion

Elo 1,540

LiveBench68.5%

SWE-bench71%

Speed60 tok/s

Output cost$150/1M

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-4.5 Orion or Qwen QwQ 32B?: GPT-4.5 Orion has the higher preference Elo in our latest snapshot (1,540). “Better” still depends on coding, price, and latency — see the table.
Which is better at coding, GPT-4.5 Orion or Qwen QwQ 32B?: GPT-4.5 Orion leads SWE-bench at 71% vs 67.5%. 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 $150/1M. Input prices and retry rates still move the real bill.
Which is faster, GPT-4.5 Orion 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-4.5 Orion 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-4.5 Orion matchups →|All Qwen QwQ 32B matchups →

GPT-4.5 Orion vs OpenAI: o1 (previous gpt-flagship)GPT-4.5 Orion vs GPT-5 (next gpt-flagship)Qwen QwQ 32B vs Qwen3 235B (previous qwen)Qwen QwQ 32B vs Qwen 3 Max (next qwen)GPT-5.6 Terra vs GPT-4.5 Orion Qwen 3 Max vs GPT-4.5 Orion

GPT-4.5 Orion vs Qwen QwQ 32B benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

GPT-4.5 Orion (4)vsQwen QwQ 32B (5)

GPT-4.5 Orion: 4W (44%)Overall: Qwen QwQ 32BQwen QwQ 32B: 5W (56%)

← GPT-4.5 Orion1 tiesQwen QwQ 32B →

GPT-4.5 Orion (4/5)

Intelligence & Reasoning

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

Preference Elo

1,540vs1,495

Coding Elo

1,520vs1,520

SWE-bench

71%vs67.5%

LiveBench

68.5%vs68%

GPQA Diamond

84%vs83.2%

GPT-4.5 Orion: 4WQwen QwQ 32B: 0W

Qwen QwQ 32B (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

60 tok/svs68 tok/s

Time to first token

350 msvs320 ms

GPT-4.5 Orion: 0WQwen QwQ 32B: 2W

Qwen QwQ 32B (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$150/1Mvs$1.2/1M

Input price

$75/1Mvs$0.3/1M

Context window

128kvs131k

GPT-4.5 Orion: 0WQwen QwQ 32B: 3W

Recommended Workload Routing

Repo / coding agentsGPT-4.5 Orion

Higher SWE-bench (71%).

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-4.5 Orion

GPT-4.5 Orion is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	GPT-4.5 Orion	Higher SWE-bench (71%).
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-4.5 Orion	GPT-4.5 Orion is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, GPT-4.5 Orion or Qwen QwQ 32B?

GPT-4.5 Orion has the higher preference Elo in our latest snapshot (1,540). “Better” still depends on coding, price, and latency — see the table.

Which is better at coding, GPT-4.5 Orion or Qwen QwQ 32B?

GPT-4.5 Orion leads SWE-bench at 71% vs 67.5%. 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 $150/1M. Input prices and retry rates still move the real bill.

Which is faster, GPT-4.5 Orion 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-4.5 Orion and Qwen QwQ 32B Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.