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Model comparison

GPT-4 Turbo vs Qwen2.5-VL-32B

Data verified

Head-to-head evidence from 0 shared benchmark results across 0 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

No sourced benchmark result is currently shared by both models. This page therefore compares only the available metadata, pricing, and runtime rows; it does not name a quality winner.
27.44/100
No comparison
N/A
0 category wins0 category wins

Public leaderboard positions: GPT-4 Turbo #188 (Supported); Qwen2.5-VL-32B #175 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. GPT-4 Turbo and Qwen2.5-VL-32B share 0 comparable benchmark results. 0 of 8 categories are comparable. 4 results are unique to GPT-4 Turbo; 0 to Qwen2.5-VL-32B.

Updated July 21, 2026
Shared results
0
GPT-4 Turbo only
4
Qwen2.5-VL-32B only
0
Comparable categories
0 / 8

Benchmark data for GPT-4 Turbo and Qwen2.5-VL-32B is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 0 shared benchmark results across 0 evidence categories; 0 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

BenchLM does not have sourced benchmark coverage for Qwen2.5-VL-32B yet. This comparison is currently limited to metadata such as context window, reasoning mode, and pricing where available.

GPT-4 Turbo is priced at $10.00 input / $30.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Qwen2.5-VL-32B. GPT-4 Turbo has the larger context window at 128K, compared with 32K for Qwen2.5-VL-32B.

Operational comparison

Runtime and commercial metrics are compared only when both models have a complete sourced value.

MetricGPT-4 TurboQwen2.5-VL-32BComparison
Input / output priceUSD per 1M tokensGPT-4 Turbo$10 input / $30 outputQwen2.5-VL-32B$0 input / $0 outputQwen2.5-VL-32B has the lower combined listed price.
Generation speedtokens per secondGPT-4 Turbo30 tok/sQwen2.5-VL-32BNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenGPT-4 Turbo2.84 sQwen2.5-VL-32BNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensGPT-4 Turbo128KQwen2.5-VL-32B32KGPT-4 Turbo lists the larger context window.

Benchmark Deep Dive

Coding
BenchmarkGPT-4 TurboQwen2.5-VL-32BResult
AA Coding IndexSource 21.5%Not comparable
AA-SciCodeSource 31.9%Not comparable
Knowledge
BenchmarkGPT-4 TurboQwen2.5-VL-32BResult
Artificial Analysis Intelligence IndexSource 7.9%Not comparable
AA-HLESource 3.3%Not comparable
Frequently Asked Questions (3)

Can I compare GPT-4 Turbo and Qwen2.5-VL-32B on BenchLM yet?

Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.

Why does this comparison show “coming soon”?

BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.

What data is available for GPT-4 Turbo and Qwen2.5-VL-32B today?

GPT-4 Turbo: $10.00 input / $30.00 output per 1M tokens Qwen2.5-VL-32B: $0.00 input / $0.00 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.

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Last updated: July 21, 2026

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