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GPT-5 Mini 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 Mini and Qwen3.7 Max.

OpenAI

GPT-5 Mini

GPT-5 Mini is a compact version of GPT-5, designed to handle lighter-weight reasoning tasks. It provides the same instruction-following and safety-tuning benefits as GPT-5, but with reduced latency and cost....

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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 MiniQwen3.7 Max
ProviderOpenAIAlibaba
Context Window400,000 tokens1,000,000 tokens
Agent Suitability85/100N/A
Time to First Token (TTFT)180 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 Mini

$0.25

Qwen3.7 Max

$1.25

Output Price per Million Tokens

GPT-5 Mini

$2.00

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
8650.0%vs9150.0%
GPT-5 Mini
Qwen3.7 Max
HumanEvalPython coding & logic synthesis
8800.0%vs9580.0%
GPT-5 Mini
Qwen3.7 Max
MATHComplex mathematical problem solving
8250.0%vs8820.0%
GPT-5 Mini
Qwen3.7 Max
GPQAGraduate-level expert reasoning
6800.0%vs6050.0%
GPT-5 Mini
Qwen3.7 Max
HellaSwagCommonsense reasoning and inference
9550.0%vs9100.0%
GPT-5 Mini
Qwen3.7 Max
MT-BenchMulti-turn conversation flow quality
900.0%vs940.0%
GPT-5 Mini
Qwen3.7 Max

GPT-5 Mini Quirks & Gotchas

  • โ–ธExcellent for high-frequency classification and routing tasks
  • โ–ธTool calling reliability drops on complex multi-step chains โ€” use GPT-5 for agentic workflows

Qwen3.7 Max Quirks & Gotchas

No developer gotchas reported.