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

GPT-4o vs Qwen: Qwen3 235B A22B Thinking 2507 benchmark

Name: GPT-4o vs Qwen: Qwen3 235B A22B Thinking 2507 AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares GPT-4o (OpenAI) and Qwen: Qwen3 235B A22B Thinking 2507 (Alibaba) using the latest snapshots we have as of Aug 16, 2026. Qwen: Qwen3 235B A22B Thinking 2507 wins on output price at $2.3/1M. Qwen: Qwen3 235B A22B Thinking 2507 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.

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OpenAI

GPT-4o

Previous OpenAI flagship. Still a common compare baseline on legacy pages.

Elo 1,335$10/1M out

Alibaba

Qwen: Qwen3 235B A22B Thinking 2507

Auto-discovered from OpenRouter (qwen/qwen3-235b-a22b-thinking-2507). Preview until a second source matches.

$2.3/1M out

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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-4o (6)vsQwen: Qwen3 235B A22B Thinking 2507 (3)

GPT-4o: 6W (67%)Overall: GPT-4oQwen: Qwen3 235B A22B Thinking 2507: 3W (33%)

← GPT-4oQwen: Qwen3 235B A22B Thinking 2507 →

GPT-4o (4/5)

Intelligence & Reasoning

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

Preference Elo

1,335vs—

Coding Elo

—vs—

SWE-bench

54.8%vs—

LiveBench

54.2%vs—

GPQA Diamond

73.2%vs—

GPT-4o: 4WQwen: Qwen3 235B A22B Thinking 2507: 0W

GPT-4o (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

110 tok/svs—

Time to first token

180 msvs—

GPT-4o: 2WQwen: Qwen3 235B A22B Thinking 2507: 0W

Qwen: Qwen3 235B A22B Thinking 2507 (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$10/1Mvs$2.3/1M

Input price

$2.5/1Mvs$0.23/1M

Context window

128kvs262k

GPT-4o: 0WQwen: Qwen3 235B A22B Thinking 2507: 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-4o 4/6

Preference Elo

No shared data

Throughput Speed

No shared data

Price Efficiency

Qwen: Qwen3 235B A22B Thinking 2507

$7.70/1M cheaper

Full Benchmark Score Matrix

—

Elo

High is better

1,335

EloHigh is better

—

LiveBench

High is better

54.2%

LiveBenchHigh is better

—

SWE-bench

High is better

54.8%

SWE-benchHigh is better

—

GPQA

High is better

73.2%

GPQAHigh is better

—

TTFT

Low is better

180 ms

TTFTLow is better

—

Speed

High is better

110 tok/s

SpeedHigh is better

—

In $

Low is better

$2.5/1M

In $Low is better

$0.23/1M+987%

Out $

Low is better

$10/1M

Out $Low is better

$2.3/1M+335%

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 82% with Qwen: Qwen3 235B A22B Thinking 2507

Monthly Volume50M tokens/mo

Quick Presets:

Token Ratio (In vs Out)70% In / 30% Out

RAG / Search (10% out)Coding / Chat (50% out)

GPT-4o$237.50 / mo

In: $87.50Out: $150.00

Qwen: Qwen3 235B A22B Thinking 2507$42.55 / mo

In: $8.05Out: $34.50

Estimated Cost Delta

Qwen: Qwen3 235B A22B Thinking 2507 is estimated to save $194.95/month ($2,339/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

1
Qwen: Qwen3 235B A22B Thinking 2507:Pick Qwen: Qwen3 235B A22B Thinking 2507 when you are optimizing output cost.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatQwen: Qwen3 235B A22B Thinking 2507

Lower output list price ($2.3/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGQwen: Qwen3 235B A22B Thinking 2507

Larger window (262k).

Screenshots / visionGPT-4o

GPT-4o 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 235B A22B Thinking 2507	Lower output list price ($2.3/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	Qwen: Qwen3 235B A22B Thinking 2507	Larger window (262k).
Screenshots / vision	GPT-4o	GPT-4o is the side marked multimodal in the catalog.

Related Editorial Dispatches & Benchmark Notes

View all news

newsMay 13, 2024

GPT-4o stays as the 2024 compare anchor people still search

Deprecated for buying. Kept because “4o vs sonnet” is still a typed query.

Community Sentiment

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CompareLLM Matrix

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LIVE

OpenAI

GPT-4o

Elo 1,335

LiveBench54.2%

SWE-bench54.8%

Speed110 tok/s

Output cost$10/1M

Alibaba

Qwen: Qwen3 235B A22B Thinking 2507

Elo n/a

LiveBench—

SWE-bench—

Speed—

Output cost$2.3/1M

Frequently Asked Questions

Which is better overall, GPT-4o or Qwen: Qwen3 235B A22B Thinking 2507?: 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-4o or Qwen: Qwen3 235B A22B Thinking 2507?: 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 235B A22B Thinking 2507 output tokens are $2.3/1M versus $10/1M. Input prices and retry rates still move the real bill.
Which is faster, GPT-4o or Qwen: Qwen3 235B A22B Thinking 2507?: We do not have TTFT for both models.
Which has the larger context window?: Qwen: Qwen3 235B A22B Thinking 2507 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-4o and Qwen: Qwen3 235B A22B Thinking 2507 Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All GPT-4o matchups →|All Qwen: Qwen3 235B A22B Thinking 2507 matchups →

GPT-4o vs GPT-4 Turbo (previous gpt-flagship)GPT-4o vs OpenAI: o1 (next gpt-flagship)GPT-5 vs GPT-4o Qwen 3 Max vs GPT-4o GPT-4.5 Orion vs GPT-4o GPT-5.6 Sol vs GPT-4o

GPT-4o vs Qwen: Qwen3 235B A22B Thinking 2507 benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

GPT-4o (6)vsQwen: Qwen3 235B A22B Thinking 2507 (3)

GPT-4o: 6W (67%)Overall: GPT-4oQwen: Qwen3 235B A22B Thinking 2507: 3W (33%)

← GPT-4oQwen: Qwen3 235B A22B Thinking 2507 →

GPT-4o (4/5)

Intelligence & Reasoning

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

Preference Elo

1,335vs—

Coding Elo

—vs—

SWE-bench

54.8%vs—

LiveBench

54.2%vs—

GPQA Diamond

73.2%vs—

GPT-4o: 4WQwen: Qwen3 235B A22B Thinking 2507: 0W

GPT-4o (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

110 tok/svs—

Time to first token

180 msvs—

GPT-4o: 2WQwen: Qwen3 235B A22B Thinking 2507: 0W

Qwen: Qwen3 235B A22B Thinking 2507 (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$10/1Mvs$2.3/1M

Input price

$2.5/1Mvs$0.23/1M

Context window

128kvs262k

GPT-4o: 0WQwen: Qwen3 235B A22B Thinking 2507: 3W

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatQwen: Qwen3 235B A22B Thinking 2507

Lower output list price ($2.3/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGQwen: Qwen3 235B A22B Thinking 2507

Larger window (262k).

Screenshots / visionGPT-4o

GPT-4o 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 235B A22B Thinking 2507	Lower output list price ($2.3/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	Qwen: Qwen3 235B A22B Thinking 2507	Larger window (262k).
Screenshots / vision	GPT-4o	GPT-4o is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, GPT-4o or Qwen: Qwen3 235B A22B Thinking 2507?

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-4o or Qwen: Qwen3 235B A22B Thinking 2507?

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 235B A22B Thinking 2507 output tokens are $2.3/1M versus $10/1M. Input prices and retry rates still move the real bill.

Which is faster, GPT-4o or Qwen: Qwen3 235B A22B Thinking 2507?

We do not have TTFT for both models.

Which has the larger context window?

Qwen: Qwen3 235B A22B Thinking 2507 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-4o and Qwen: Qwen3 235B A22B Thinking 2507 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

No shared data

No shared data

Qwen: Qwen3 235B A22B Thinking 2507

Full Benchmark Score Matrix

Workload Cost & Savings Calculator

Key Selection Recommendations

Recommended Workload Routing

Related Editorial Dispatches & Benchmark Notes

GPT-4o stays as the 2024 compare anchor people still search

Cast Your Matchup Vote

Community Discussions (0)

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CompareLLM Matrix

GPT-4o

Qwen: Qwen3 235B A22B Thinking 2507

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

No shared data

No shared data

Qwen: Qwen3 235B A22B Thinking 2507

Full Benchmark Score Matrix

Workload Cost & Savings Calculator

Key Selection Recommendations

Recommended Workload Routing

Related Editorial Dispatches & Benchmark Notes

GPT-4o stays as the 2024 compare anchor people still search

Cast Your Matchup Vote

Community Discussions (0)

Share card

CompareLLM Matrix

GPT-4o

Qwen: Qwen3 235B A22B Thinking 2507

Frequently Asked Questions

Related news

Similar Head-to-Head Comparisons