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GPT-5.5 vs Qwen3.7 Max

How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for GPT-5.5 and Qwen3.7 Max.

OpenAI

GPT-5.5

GPT-5.5 is OpenAI’s frontier model designed for complex professional workloads, building on GPT-5.4 with stronger reasoning, higher reliability, and improved token efficiency on hard tasks. It features a 1M+ token...

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Alibaba

Qwen3.7 Max

Qwen3.7-Max is the flagship model in Alibaba's Qwen3.7 series. It supports text input and output and is designed for agent-centric workloads, with particular strengths in coding, office and productivity tasks,...

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Technical Specifications

SpecificationGPT-5.5Qwen3.7 Max
ProviderOpenAIAlibaba
Context Window1,050,000 tokens1,000,000 tokens
Agent Suitability95/100N/A
Time to First Token (TTFT)380 msN/A
Deployment Modelmanaged apiself hostable
Production Stabilitystablebeta
API AvailableYesYes
Released Date2026-04-242026-05-21

API Pricing Comparison

Input Price per Million Tokens

GPT-5.5

$5.00

Qwen3.7 Max

$1.25

Output Price per Million Tokens

GPT-5.5

$30.00

Qwen3.7 Max

$3.75

Want to test both models live?

Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.

MMLUGeneral knowledge & multi-task understanding
9420.0%vs9150.0%
GPT-5.5
Qwen3.7 Max
HumanEvalPython coding & logic synthesis
9680.0%vs9580.0%
GPT-5.5
Qwen3.7 Max
MATHComplex mathematical problem solving
9350.0%vs8820.0%
GPT-5.5
Qwen3.7 Max
GPQAGraduate-level expert reasoning
8420.0%vs6050.0%
GPT-5.5
Qwen3.7 Max
HellaSwagCommonsense reasoning and inference
9900.0%vs9100.0%
GPT-5.5
Qwen3.7 Max
MT-BenchMulti-turn conversation flow quality
970.0%vs940.0%
GPT-5.5
Qwen3.7 Max

GPT-5.5 Quirks & Gotchas

  • Best for JSON schema adherence — strict mode available via response_format parameter
  • Requires explicit tool_choice for deterministic function calling

Qwen3.7 Max Quirks & Gotchas

No developer gotchas reported.