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GPT-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 and Qwen3.7 Max.

OpenAI

GPT-5

GPT-5 is OpenAI’s most advanced model, offering major improvements in reasoning, code quality, and user experience. It is optimized for complex tasks that require step-by-step reasoning, instruction following, and accuracy...

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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-5Qwen3.7 Max
ProviderOpenAIAlibaba
Context Window400,000 tokens1,000,000 tokens
Agent Suitability92/100N/A
Time to First Token (TTFT)320 msN/A
Deployment Modelmanaged apiself hostable
Production Stabilitystablebeta
API AvailableYesYes
Released Date2025-08-072026-05-21

API Pricing Comparison

Input Price per Million Tokens

GPT-5

$1.25

Qwen3.7 Max

$1.25

Output Price per Million Tokens

GPT-5

$10.00

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
9210.0%vs9150.0%
GPT-5
Qwen3.7 Max
HumanEvalPython coding & logic synthesis
9400.0%vs9580.0%
GPT-5
Qwen3.7 Max
MATHComplex mathematical problem solving
8950.0%vs8820.0%
GPT-5
Qwen3.7 Max
GPQAGraduate-level expert reasoning
7950.0%vs6050.0%
GPT-5
Qwen3.7 Max
HellaSwagCommonsense reasoning and inference
9850.0%vs9100.0%
GPT-5
Qwen3.7 Max
MT-BenchMulti-turn conversation flow quality
950.0%vs940.0%
GPT-5
Qwen3.7 Max

GPT-5 Quirks & Gotchas

  • Reliable all-rounder — use as default for most production workflows
  • Not recommended for advanced reasoning chains — use o3-mini instead

Qwen3.7 Max Quirks & Gotchas

No developer gotchas reported.