GPT-5.6 Luna vs Qwen3.7 Max: pricing, Quality, Value, and benchmarks

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Pricing, app access, and Conversation Value

• Humanity's Last Exam

  Normalized quality input

  37.2%

  Artificial Analysis GPT-5.6 Luna max analysis page | Independent Artificial Analysis HLE result for the max-reasoning model variant. This is provisional tier-3 evidence, not an OpenAI-published no-tools HLE result.

• SWE-Bench Pro

  Software engineering task resolution

  62.7%

  OpenAI GPT-5.6 release | Vendor-reported OpenAI GPT-5.6 launch result. Preserve the named tier and launch configuration; do not substitute a similarly named benchmark or model variant.

• GPQA Diamond

  Graduate-level scientific reasoning

  92.3%

  OpenAI GPT-5.6 release | Vendor-reported OpenAI GPT-5.6 launch result. Preserve the named tier and launch configuration; do not substitute a similarly named benchmark or model variant.

• Terminal-Bench 2.1

  Agentic terminal task completion

  84.7%

  OpenAI GPT-5.6 release | Vendor-reported OpenAI GPT-5.6 launch result. Preserve the named tier and launch configuration; do not substitute a similarly named benchmark or model variant.

• Humanity's Last Exam

  Normalized quality input

  41.4%

  Alibaba Cloud Qwen3.7 launch article | Alibaba Cloud/Qwen official launch article. Treat HLE as vendor-reported evidence.

• SWE-Bench Pro

  Software engineering task resolution

  60.6%

  Alibaba Cloud Qwen3.7 launch article | Alibaba Cloud/Qwen official launch article. Treat SWE-Pro as vendor-reported evidence for SWE-Bench Pro.

• GPQA Diamond

  Normalized quality input

  92.4%

  Alibaba Cloud Qwen3.7 launch article | Alibaba Cloud/Qwen official launch article. Treat GPQA Diamond as vendor-reported evidence.

• Terminal-Bench 2.0

  Agentic terminal task completion

  69.7%

  Alibaba Cloud Qwen3.7 launch article | Developer-reported Qwen3.7 Max Terminal-Bench 2.0-Terminus score.

The fastest, lowest-cost GPT-5.6 option for high-volume workloads.

GPT-5.6 Luna is the fastest and lowest-cost tier in the family. Its accepted HLE and SWE-Bench Pro evidence keep it competitive for high-volume workflows, while difficult tasks should still be tested against Terra or Sol.

Qwen3.7 Max is the optimal choice when your pipeline demands rigorous, multi-step logical deduction, complex code generation, or scientific analysis, and when cost-efficiency at scale is a primary constraint.

Qwen3.7 Max: A Specialist, Not a Generalist Released in May 2026, Alibaba’s Qwen3.7 Max is a formidable push into the proprietary frontier, trading casual versatility for elite performance in scientific reasoning, competitive math, and complex coding. Backed by a 1M-token context, blistering 206 t/s inference, and a highly competitive $2.50/M input price, it offers unmatched scale for heavy-lift pipelines. However, it demands careful architectural handling. Its notorious 22.9% "hallucination" rate is largely an artifact of epistemic humility—a 48% refusal rate on broad factual queries where the model simply says "I don't know." Furthermore, its deep-reasoning architecture makes it highly verbose, effectively tripling real-world token costs. Lacking vision capabilities and open weights, it still trails GPT-5.5 in raw reasoning headroom and Claude Opus 4.8 in coding ergonomics. The Bottom Line: Qwen3.7 Max is not a general-purpose chatbot. It is a high-octane reasoning engine built specifically for cost-constrained, multi-step agentic workflows. Route broad facts to lighter models, tame its verbosity with strict system prompting, and it will deliver frontier-class logic at a fraction of the cost.