GPT-5.5-ProvsQwen3.7-Plus
GPT-5.5-Pro | Qwen3.7-Plus | |
|---|---|---|
| API pricingUSD per 1M tokens · lower wins · base tier | ||
Input priceWhat you pay for everything you send the model — your question, plus any documents or earlier conversation you include with it. | $30.00 | $0.40 |
Output priceWhat you pay for the text the model writes back. It is normally the dearer half: producing an answer costs more than reading one. | $180.00 | $1.60 |
| Benchmarks | ||
Humanity's Last Exam · with toolsMultidisciplinary reasoning — Humanity's Last Exam — extremely hard expert questions across many subjects. “With tools” means the AI is allowed to search the web or run code while answering. Higher is better. | 57.2% | 34.7% |
| BenchmarksPublished by one model only | ||
BullshitBench v2Nonsense detection — Given a confidently-worded but nonsensical prompt, does the AI spot that it makes no sense and push back — instead of playing along and inventing an answer? The score is how often it clearly called out the nonsense. Higher is better. | 36% | — |
SWE-Bench VerifiedCoding — Real coding tasks pulled from open-source projects — the AI has to find and fix actual bugs. A human-checked version of the original SWE-Bench. Higher is better. | — | 77.7% |
Next.js EvalsNext.js coding — Vercel's open eval of how well AI coding agents build and migrate real Next.js apps — measured as the share of tasks the agent completes successfully. Higher is better. | 77% | — |
LiveCodeBenchCompetitive coding — Coding problems published so recently the AI can't have seen them in training — a contamination-free test of raw programming skill. Higher is better. | — | 89.6% |
BrowseCompWeb browsing — Can the AI browse the web and track down hard-to-find answers? Higher is better. | 90.1% | — |
FrontierMath · Tier 1–3Advanced math — Very hard, research-level math problems. Tiers 1–3 are the (still extremely difficult) lower tiers. Higher is better. | 52.4% | — |
FrontierMath · Tier 4Advanced math — Very hard, research-level math problems. Tier 4 is the hardest — close to what professional research mathematicians tackle. Higher is better. | 39.6% | — |
OSWorld-VerifiedAgentic computer use — Can the AI actually operate a computer — clicking, typing, and using real apps — to finish tasks on its own? Higher is better. | — | 73.3% |
GDPval (win/tie rate)Knowledge work — How often the AI's work matches or beats a human expert's on real knowledge-work tasks. Higher is better. | 82.3% | — |
| Overview | ||
| Company | OpenAI | Qwen |
| Release date | Apr 23 2026 | Jun 1 2026 |
| Access | Proprietary | Proprietary |
Other comparisons
Frequently asked questions
GPT-5.5-Pro leads Qwen3.7-Plus on 1 of the 1 benchmark they both report (Humanity's Last Exam). Qwen3.7-Plus is cheaper on both input and output: $0.40 vs $30.00 per million input tokens, and $1.60 vs $180.00 per million output tokens. Figures are base-tier rates. GPT-5.5-Pro shipped 39 days before Qwen3.7-Plus, so benchmark comparisons should account for the intervening progress.
Published specifications for these two models are limited — see each model page for the latest details.
On Humanity's Last Exam · with tools, GPT-5.5-Pro leads at 57.2% vs Qwen3.7-Plus at 34.7%.
GPT-5.5-Pro was released by OpenAI on Apr 23 2026.
Qwen3.7-Plus was released by Qwen on Jun 1 2026.
GPT-5.5-Pro leads on Humanity's Last Exam · with tools — GPT-5.5-Pro 57.2% vs Qwen3.7-Plus 34.7%.
Qwen3.7-Plus is cheaper on both input and output: $0.40 vs $30.00 per million input tokens, and $1.60 vs $180.00 per million output tokens. Figures are base-tier rates. Rates are pay-as-you-go API prices verified on August 18, 2026.