Pairwise benchmark snapshot · Aug 16, 2026noindex (thin pair)

GPT-4.5 Orion vs Qwen: Qwen3 VL 30B A3B Thinking benchmark

Name: GPT-4.5 Orion vs Qwen: Qwen3 VL 30B A3B Thinking AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares GPT-4.5 Orion (OpenAI) and Qwen: Qwen3 VL 30B A3B Thinking (Alibaba) using the latest snapshots we have as of Aug 16, 2026. Qwen: Qwen3 VL 30B A3B Thinking wins on output price at $2.4/1M. Qwen: Qwen3 VL 30B A3B Thinking has the larger context window (262k 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-4.5 Orion

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

Elo 1,540$150/1M out

Alibaba

Qwen: Qwen3 VL 30B A3B Thinking

Auto-discovered from OpenRouter (qwen/qwen3-vl-30b-a3b-thinking). Preview until a second source matches.

$2.4/1M 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-4.5 Orion (7)vsQwen: Qwen3 VL 30B A3B Thinking (3)

GPT-4.5 Orion: 7W (70%)Overall: GPT-4.5 OrionQwen: Qwen3 VL 30B A3B Thinking: 3W (30%)

← GPT-4.5 OrionQwen: Qwen3 VL 30B A3B Thinking →

GPT-4.5 Orion (5/5)

Intelligence & Reasoning

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

Preference Elo

1,540vs—

Coding Elo

1,520vs—

SWE-bench

71%vs—

LiveBench

68.5%vs—

GPQA Diamond

84%vs—

GPT-4.5 Orion: 5WQwen: Qwen3 VL 30B A3B Thinking: 0W

GPT-4.5 Orion (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

60 tok/svs—

Time to first token

350 msvs—

GPT-4.5 Orion: 2WQwen: Qwen3 VL 30B A3B Thinking: 0W

Qwen: Qwen3 VL 30B A3B Thinking (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$150/1Mvs$2.4/1M

Input price

$75/1Mvs$0.2/1M

Context window

128kvs262k

GPT-4.5 Orion: 0WQwen: Qwen3 VL 30B A3B Thinking: 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 AdvantageGPT-4.5 Orion 4/6

Preference Elo

No shared data

Throughput Speed

No shared data

Price Efficiency

Qwen: Qwen3 VL 30B A3B Thinking

$147.60/1M cheaper

Full Benchmark Score Matrix

—

Elo

High is better

1,540

EloHigh is better

—

Code Elo

High is better

1,520

Code EloHigh is better

—

LiveBench

High is better

68.5%

LiveBenchHigh is better

—

SWE-bench

High is better

71%

SWE-benchHigh is better

—

GPQA

High is better

84%

GPQAHigh is better

—

TTFT

Low is better

350 ms

TTFTLow is better

—

Speed

High is better

60 tok/s

SpeedHigh is better

—

In $

Low is better

$75/1M

In $Low is better

$0.2/1M+37400%

Out $

Low is better

$150/1M

Out $Low is better

$2.4/1M+6150%

Context

High is better

128k

ContextHigh is better

262k+105%

Interactive Simulator

Workload Cost & Savings Calculator

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

Save up to 99% with Qwen: Qwen3 VL 30B A3B Thinking

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: Qwen3 VL 30B A3B Thinking$43.00 / mo

In: $7.00Out: $36.00

Estimated Cost Delta

Qwen: Qwen3 VL 30B A3B Thinking is estimated to save $4,832.00/month ($57,984/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

1
Qwen: Qwen3 VL 30B A3B Thinking:Pick Qwen: Qwen3 VL 30B A3B Thinking when you are optimizing output cost.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatQwen: Qwen3 VL 30B A3B Thinking

Lower output list price ($2.4/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGQwen: Qwen3 VL 30B A3B Thinking

Larger window (262k).

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	insufficient data	Need SWE-bench on both sides.
High-volume chat	Qwen: Qwen3 VL 30B A3B Thinking	Lower output list price ($2.4/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	Qwen: Qwen3 VL 30B A3B Thinking	Larger window (262k).
Screenshots / vision	GPT-4.5 Orion	GPT-4.5 Orion 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-4-5-vs-qwen3-vl-30b-a3b-thinking/opengraph-image for crawlers.

PNG

CompareLLM Matrix

Verified head-to-head card

LIVE

OpenAI

GPT-4.5 Orion

Elo 1,540

LiveBench68.5%

SWE-bench71%

Speed60 tok/s

Output cost$150/1M

Alibaba

Qwen: Qwen3 VL 30B A3B Thinking

Elo n/a

LiveBench—

SWE-bench—

Speed—

Output cost$2.4/1M

Frequently Asked Questions

Which is better overall, GPT-4.5 Orion or Qwen: Qwen3 VL 30B A3B Thinking?: We do not have preference Elo for both models, so we do not declare an overall winner. Compare the metrics that exist.
Which is better at coding, GPT-4.5 Orion or Qwen: Qwen3 VL 30B A3B Thinking?: SWE-bench is missing for at least one model, so we do not rank coding from a single number.
Which is cheaper to run in production?: Qwen: Qwen3 VL 30B A3B Thinking output tokens are $2.4/1M versus $150/1M. Input prices and retry rates still move the real bill.
Which is faster, GPT-4.5 Orion or Qwen: Qwen3 VL 30B A3B Thinking?: We do not have TTFT for both models.
Which has the larger context window?: Qwen: Qwen3 VL 30B A3B Thinking accepts 262k tokens versus 128k.
Can I self-host either model?: Neither model is marked open-weights here. You are comparing hosted APIs.
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: Qwen3 VL 30B A3B Thinking 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: Qwen3 VL 30B A3B Thinking matchups →

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

GPT-4.5 Orion vs Qwen: Qwen3 VL 30B A3B Thinking benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

GPT-4.5 Orion (7)vsQwen: Qwen3 VL 30B A3B Thinking (3)

GPT-4.5 Orion: 7W (70%)Overall: GPT-4.5 OrionQwen: Qwen3 VL 30B A3B Thinking: 3W (30%)

← GPT-4.5 OrionQwen: Qwen3 VL 30B A3B Thinking →

GPT-4.5 Orion (5/5)

Intelligence & Reasoning

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

Preference Elo

1,540vs—

Coding Elo

1,520vs—

SWE-bench

71%vs—

LiveBench

68.5%vs—

GPQA Diamond

84%vs—

GPT-4.5 Orion: 5WQwen: Qwen3 VL 30B A3B Thinking: 0W

GPT-4.5 Orion (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

60 tok/svs—

Time to first token

350 msvs—

GPT-4.5 Orion: 2WQwen: Qwen3 VL 30B A3B Thinking: 0W

Qwen: Qwen3 VL 30B A3B Thinking (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$150/1Mvs$2.4/1M

Input price

$75/1Mvs$0.2/1M

Context window

128kvs262k

GPT-4.5 Orion: 0WQwen: Qwen3 VL 30B A3B Thinking: 3W

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatQwen: Qwen3 VL 30B A3B Thinking

Lower output list price ($2.4/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGQwen: Qwen3 VL 30B A3B Thinking

Larger window (262k).

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	insufficient data	Need SWE-bench on both sides.
High-volume chat	Qwen: Qwen3 VL 30B A3B Thinking	Lower output list price ($2.4/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	Qwen: Qwen3 VL 30B A3B Thinking	Larger window (262k).
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: Qwen3 VL 30B A3B Thinking?

We do not have preference Elo for both models, so we do not declare an overall winner. Compare the metrics that exist.

Which is better at coding, GPT-4.5 Orion or Qwen: Qwen3 VL 30B A3B Thinking?

SWE-bench is missing for at least one model, so we do not rank coding from a single number.

Which is cheaper to run in production?

Qwen: Qwen3 VL 30B A3B Thinking output tokens are $2.4/1M versus $150/1M. Input prices and retry rates still move the real bill.

Which is faster, GPT-4.5 Orion or Qwen: Qwen3 VL 30B A3B Thinking?

We do not have TTFT for both models.

Which has the larger context window?

Qwen: Qwen3 VL 30B A3B Thinking accepts 262k tokens versus 128k.

Can I self-host either model?

Neither model is marked open-weights here. You are comparing hosted APIs.

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: Qwen3 VL 30B A3B Thinking Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.