Pairwise benchmark snapshot · Aug 17, 2026

GPT-4 Turbo vs Qwen3 235B benchmark

Name: GPT-4 Turbo vs Qwen3 235B AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares GPT-4 Turbo (OpenAI) and Qwen3 235B (Alibaba) using the latest snapshots we have as of Aug 17, 2026. On preference Elo, Qwen3 235B is ahead by 185 points (1,440 vs 1,255; lmarena (Aug 17, 2026)). On SWE-bench coding, Qwen3 235B resolves 59.4% versus 33.2% (swebench (Aug 17, 2026)). Qwen3 235B streams faster (74 tok/s) while Qwen3 235B is the cheaper output token ($1.82/1M). Qwen3 235B 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 Turbo

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

Elo 1,255$30/1M out

Alibaba

Qwen3 235B

Open-weight Qwen3 mixture-of-experts.

Elo 1,440$1.8199999999999998/1M out

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Model A

Model B

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Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

GPT-4 Turbo (0)vsQwen3 235B (9)

GPT-4 Turbo: 0W (0%)Overall: Qwen3 235BQwen3 235B: 9W (100%)

← GPT-4 TurboQwen3 235B →

Qwen3 235B (4/5)

Intelligence & Reasoning

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

Preference Elo

1,255vs1,440

Coding Elo

—vs—

SWE-bench

33.2%vs59.4%

LiveBench

47%vs63.5%

GPQA Diamond

48%vs76.8%

GPT-4 Turbo: 0WQwen3 235B: 4W

Qwen3 235B (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

55 tok/svs74 tok/s

Time to first token

350 msvs320 ms

GPT-4 Turbo: 0WQwen3 235B: 2W

Qwen3 235B (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$30/1Mvs$1.82/1M

Input price

$10/1Mvs$0.45/1M

Context window

128kvs131k

GPT-4 Turbo: 0WQwen3 235B: 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 AdvantageQwen3 235B 6/6

Preference Elo

Qwen3 235B

185 pts advantage

Throughput Speed

Qwen3 235B

19 tok/s faster

Price Efficiency

Qwen3 235B

$28.18/1M cheaper

Full Benchmark Score Matrix

—

Elo

High is better

1,255

EloHigh is better

1,440+15%

LiveBench

High is better

47%

LiveBenchHigh is better

63.5%+35%

SWE-bench

High is better

33.2%

SWE-benchHigh is better

59.4%+79%

GPQA

High is better

48%

GPQAHigh is better

76.8%+60%

TTFT

Low is better

350 ms

TTFTLow is better

320 ms+9%

Speed

High is better

55 tok/s

SpeedHigh is better

74 tok/s+35%

In $

Low is better

$10/1M

In $Low is better

$0.45/1M+2098%

Out $

Low is better

$30/1M

Out $Low is better

$1.82/1M+1548%

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 95% with Qwen3 235B

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

Qwen3 235B$43.22 / mo

In: $15.92Out: $27.30

Estimated Cost Delta

Qwen3 235B is estimated to save $756.78/month ($9,081/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

1
Qwen3 235B:Pick Qwen3 235B when repo-level coding accuracy is the constraint.
2
Qwen3 235B:Pick Qwen3 235B when time-to-first-token matters more than peak Elo.
3
Qwen3 235B:Pick Qwen3 235B as the default general assistant.

Recommended Workload Routing

Repo / coding agentsQwen3 235B

Higher SWE-bench (59.4%).

High-volume chatQwen3 235B

Lower output list price ($1.82/1M).

Voice / low-latency UIQwen3 235B

Lower TTFT (320 ms).

Long-document RAGQwen3 235B

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	Qwen3 235B	Higher SWE-bench (59.4%).
High-volume chat	Qwen3 235B	Lower output list price ($1.82/1M).
Voice / low-latency UI	Qwen3 235B	Lower TTFT (320 ms).
Long-document RAG	Qwen3 235B	Larger window (131k).
Screenshots / vision	GPT-4 Turbo	GPT-4 Turbo is the side marked multimodal in the catalog.

Related Editorial Dispatches & Benchmark Notes

View all news

launchSep 20, 2025

Qwen3 235B: the open MoE Qwen, not the Max SKU

Sep 2025 open-weight mixture-of-experts. Self-host path. Don’t confuse it with Qwen 3 Max.

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LIVE

OpenAI

GPT-4 Turbo

Elo 1,255

LiveBench47%

SWE-bench33.2%

Speed55 tok/s

Output cost$30/1M

Alibaba

Qwen3 235B

Elo 1,440

LiveBench63.5%

SWE-bench59.4%

Speed74 tok/s

Output cost$1.82/1M

Frequently Asked Questions

Which is better overall, GPT-4 Turbo or Qwen3 235B?: Qwen3 235B has the higher preference Elo in our latest snapshot (1,440). “Better” still depends on coding, price, and latency — see the table.
Which is better at coding, GPT-4 Turbo or Qwen3 235B?: Qwen3 235B leads SWE-bench at 59.4% vs 33.2%. SWE-bench is one harness, not your repo.
Which is cheaper to run in production?: Qwen3 235B output tokens are $1.82/1M versus $30/1M. Input prices and retry rates still move the real bill.
Which is faster, GPT-4 Turbo or Qwen3 235B?: Qwen3 235B 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?: Qwen3 235B accepts 131k tokens versus 128k.
Can I self-host either model?: Qwen3 235B 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 Qwen3 235B 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 Qwen3 235B matchups →

GPT-4 Turbo vs GPT-4o (next gpt-flagship)Qwen3 235B vs Qwen 2.5 Coder 32B (previous qwen)Qwen3 235B vs Qwen QwQ 32B (next qwen)GPT-5 vs Qwen3 235B Qwen 3 Max vs Qwen3 235B GPT-4.5 Orion vs Qwen3 235B

GPT-4 Turbo vs Qwen3 235B benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

GPT-4 Turbo (0)vsQwen3 235B (9)

GPT-4 Turbo: 0W (0%)Overall: Qwen3 235BQwen3 235B: 9W (100%)

← GPT-4 TurboQwen3 235B →

Qwen3 235B (4/5)

Intelligence & Reasoning

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

Preference Elo

1,255vs1,440

Coding Elo

—vs—

SWE-bench

33.2%vs59.4%

LiveBench

47%vs63.5%

GPQA Diamond

48%vs76.8%

GPT-4 Turbo: 0WQwen3 235B: 4W

Qwen3 235B (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

55 tok/svs74 tok/s

Time to first token

350 msvs320 ms

GPT-4 Turbo: 0WQwen3 235B: 2W

Qwen3 235B (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$30/1Mvs$1.82/1M

Input price

$10/1Mvs$0.45/1M

Context window

128kvs131k

GPT-4 Turbo: 0WQwen3 235B: 3W

Recommended Workload Routing

Repo / coding agentsQwen3 235B

Higher SWE-bench (59.4%).

High-volume chatQwen3 235B

Lower output list price ($1.82/1M).

Voice / low-latency UIQwen3 235B

Lower TTFT (320 ms).

Long-document RAGQwen3 235B

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	Qwen3 235B	Higher SWE-bench (59.4%).
High-volume chat	Qwen3 235B	Lower output list price ($1.82/1M).
Voice / low-latency UI	Qwen3 235B	Lower TTFT (320 ms).
Long-document RAG	Qwen3 235B	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 Qwen3 235B?

Qwen3 235B has the higher preference Elo in our latest snapshot (1,440). “Better” still depends on coding, price, and latency — see the table.

Which is better at coding, GPT-4 Turbo or Qwen3 235B?

Qwen3 235B leads SWE-bench at 59.4% vs 33.2%. SWE-bench is one harness, not your repo.

Which is cheaper to run in production?

Qwen3 235B output tokens are $1.82/1M versus $30/1M. Input prices and retry rates still move the real bill.

Which is faster, GPT-4 Turbo or Qwen3 235B?

Qwen3 235B 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?

Qwen3 235B accepts 131k tokens versus 128k.

Can I self-host either model?

Qwen3 235B 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 Qwen3 235B 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

Qwen3 235B

Qwen3 235B

Qwen3 235B

Full Benchmark Score Matrix

Workload Cost & Savings Calculator

Key Selection Recommendations

Recommended Workload Routing

Related Editorial Dispatches & Benchmark Notes

Qwen3 235B: the open MoE Qwen, not the Max SKU

Cast Your Matchup Vote

Community Discussions (0)

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CompareLLM Matrix

GPT-4 Turbo

Qwen3 235B

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

Qwen3 235B

Qwen3 235B

Qwen3 235B

Full Benchmark Score Matrix

Workload Cost & Savings Calculator

Key Selection Recommendations

Recommended Workload Routing

Related Editorial Dispatches & Benchmark Notes

Qwen3 235B: the open MoE Qwen, not the Max SKU

Cast Your Matchup Vote

Community Discussions (0)

Share card

CompareLLM Matrix

GPT-4 Turbo

Qwen3 235B

Frequently Asked Questions

Related news

Similar Head-to-Head Comparisons