AI Model Comparison

Qwen3.7 Max vs GPT-5.5 (medium)

Compare Qwen3.7 Max vs GPT-5.5 (medium) with benchmark results, speed, pricing, and practical workflow guidance.

Best For Qwen3.7 Max

  • Zero-cost token usage
  • High instruction following
  • Advanced agentic tasks

Best For GPT-5.5 (medium)

  • Complex coding projects
  • High-performance reasoning
  • Standardized benchmark leadership

Qwen3.7 Max and GPT-5.5 (medium) represent the latest in AI development. While GPT-5.5 leads in coding and benchmark performance, Qwen3.7 Max offers a unique cost advantage, being entirely free to use for both input and output tokens.

Quick Take

Released in early 2026, Qwen3.7 Max (Alibaba) and GPT-5.5 (medium) (OpenAI) are top-tier models. GPT-5.5 (medium) holds a slight edge in the Intelligence Index (56.7 vs 56.6) and a significant lead in the Coding Index (56.2 vs 50.1). Conversely, Qwen3.7 Max distinguishes itself with a disruptive pricing model.

Benchmark Read

Performance across standardized tests shows a tight race:

  • GPQA: GPT-5.5 (0.926) narrowly edges out Qwen3.7 Max (0.923).
  • HLE: GPT-5.5 scores 0.406 compared to Qwen3.7 Max’s 0.381.
  • SciCode: GPT-5.5 leads with 0.535 against 0.488.
  • IFBench: Qwen3.7 Max performs better at 0.805, compared to 0.709 for GPT-5.5.
  • LCR: GPT-5.5 leads with 0.723 vs 0.69.
  • TerminalBench Hard: GPT-5.5 scores 0.576, while Qwen3.7 Max scores 0.508.
  • TAU2: Qwen3.7 Max leads with 0.947 vs 0.918.

Cost and Speed

Pricing is the most significant differentiator. Qwen3.7 Max is free ($0.00/1M tokens for input and output). GPT-5.5 (medium) follows a standard commercial pricing model at $5.00/1M input and $30.00/1M output, resulting in a blended cost of $11.25/1M tokens. Regarding speed, GPT-5.5 (medium) operates at 59.548 tok/s with a time to first token of 4.851s. Performance metrics for Qwen3.7 Max remain unknown.

Best Fit

GPT-5.5 (medium) is best suited for enterprise-grade coding tasks and complex reasoning where performance is the priority. Qwen3.7 Max is ideal for developers and organizations looking to scale AI implementations without incurring token-based costs.

Benchmark table

Side-by-side scores, speed, and pricing for the selected models.

Metric Alibaba Qwen3.7 Max OpenAI GPT-5.5 (medium)
Index Scores
Intelligence Index 56.6 56.7
Coding Index 50.1 56.2
Math Index--
Benchmark Scores
GPQA 92.3 92.6
SciCode 48.8 53.5
IFBench 80.5 71.0
HLE 38.1 40.6
LCR 69.0 72.3
TAU2 94.7 91.8
TerminalBench Hard 50.8 57.6

Verdict

If your priority is coding performance and raw benchmark dominance, GPT-5.5 (medium) is the superior choice despite its costs. However, for high-volume applications where budget is the primary constraint, Qwen3.7 Max provides a highly capable, zero-cost alternative that remains competitive across most major evaluation metrics.

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