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Model comparison

GPT-5.5 Pro vs Qwen3 235B 2507

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.
63.69/100
Margin
7.7pts
← winning
56.02/100
0 category wins1 category wins

Public leaderboard positions: GPT-5.5 Pro #38 (Estimated); Qwen3 235B 2507 #78 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. GPT-5.5 Pro and Qwen3 235B 2507 share 0 comparable benchmark results. 1 of 8 categories are comparable. 7 results are unique to GPT-5.5 Pro; 4 to Qwen3 235B 2507.

Updated July 22, 2026
Shared results
0
GPT-5.5 Pro only
7
Qwen3 235B 2507 only
4
Comparable categories
1 / 8

Pick GPT-5.5 Pro if you want the stronger benchmark profile. Qwen3 235B 2507 only becomes the better choice if knowledge is the priority or you want the cheaper token bill.

Confidence note. This is a partial-evidence comparison with 0 shared benchmark results across 0 evidence categories; 1 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

GPT-5.5 Pro is clearly ahead on the BenchAlign aggregate, 63.69 to 56.02. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.

GPT-5.5 Pro is also the more expensive model on tokens at $30.00 input / $180.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Qwen3 235B 2507. That is roughly Infinityx on output cost alone. GPT-5.5 Pro is the reasoning model in the pair, while Qwen3 235B 2507 is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. GPT-5.5 Pro gives you the larger context window at 1M, compared with 128K for Qwen3 235B 2507.

Operational comparison

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

MetricGPT-5.5 ProQwen3 235B 2507Comparison
Input / output priceUSD per 1M tokensGPT-5.5 Pro$30 input / $180 outputQwen3 235B 2507$0 input / $0 outputQwen3 235B 2507 has the lower combined listed price.
Generation speedtokens per secondGPT-5.5 ProNot availableQwen3 235B 2507Not availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenGPT-5.5 ProNot availableQwen3 235B 2507Not availableA complete latency comparison is not available.
Context windowmaximum listed tokensGPT-5.5 Pro1MQwen3 235B 2507128KGPT-5.5 Pro lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkGPT-5.5 ProQwen3 235B 2507Result
BrowseCompSource 90.1%Not comparable
Reasoning
BenchmarkGPT-5.5 ProQwen3 235B 2507Result
CritPtSource 30.6%Not comparable
KnowledgeQwen3 235B 2507 wins
BenchmarkGPT-5.5 ProQwen3 235B 2507Result
HLESource 57.2%Not comparable
HLE w/o toolsSource 43.1%Not comparable
GPQASource 77.5%Not comparable
SuperGPQASource 62.6%Not comparable
MMLU-ProSource 83%Not comparable
Math
BenchmarkGPT-5.5 ProQwen3 235B 2507Result
FrontierMath (legacy)Source 52.4%Not comparable
FrontierMath v2 (Tiers 1-3)Source 51.000%Not comparable
FrontierMath v2 (Tier 4)Source 39.600%Not comparable
Multilingual
BenchmarkGPT-5.5 ProQwen3 235B 2507Result
MMLU-ProXSource 79.4%Not comparable
Frequently Asked Questions (2)

Which is better, GPT-5.5 Pro or Qwen3 235B 2507?

GPT-5.5 Pro is ahead on BenchLM's BenchAlign leaderboard, 63.69 to 56.02.

Which is better for knowledge tasks, GPT-5.5 Pro or Qwen3 235B 2507?

Qwen3 235B 2507 has the edge for knowledge tasks in this comparison, averaging 78.9 versus 57.2. GPT-5.5 Pro stays close enough that the answer can still flip depending on your workload.

Related Comparisons

Last updated: July 22, 2026

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