PickAIModel.com - Compare GPT-5.6 Luna and Qwen3.7 Max
GPT-5.6 Luna vs Qwen3.7 Max: pricing, Quality, Value, and benchmarks
Side-by-side buyer comparison built from the current published top 10 snapshot. Quality and Value stay deterministic, while editorial verdict excerpts remain clearly AI-labeled.
Provisional evidenceVerified evidence
GPT-5.6 Luna Quality
45.0
Qwen3.7 Max Quality
52.3
Quality delta
-7.3Qwen3.7 Max leads
Value delta
-67.4Qwen3.7 Max leads
Buyer summary
Qwen3.7 Max leads Quality by 7.3 points. Qwen3.7 Max leads Value by 67.4 points.
Shared roster
Both pages link back to the same published roster and methodology, so the comparison stays on one deterministic evidence set.
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.
Monthly price
Qwen Chat: Price unavailable
App access
Qwen Chat
Conversation benchmark
Free tier
Verified vendor fact
Consumer plan pricing was not available in the current snapshot.
Verified vendor fact
Hosted app availability is grounded in the current official vendor surface.
Deterministic scores
Quality and Value comparison
GPT-5.6 Luna
Q 45.0
V 3.0
Quality rank 9 and value rank 9 in the current published roster.
Qwen3.7 Max
Q 52.3
V 70.4
Quality rank 7 and value rank 1 in the current published roster.
Buyer access
Pricing, app access, and Conversation Value
GPT-5.6 Luna
Verified vendor fact3K tokens/chat
ChatGPT: Price unavailable
Unavailable
Hosted app: ChatGPT
Qwen3.7 Max
Verified vendor fact3K tokens/chat
Qwen Chat: Price unavailable
Free tier
Hosted app: Qwen Chat
Benchmark evidence
GPT-5.6 Luna
Verified evidence
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. Treat as tier-3 provisional evidence and do not describe it as OpenAI-published no-tools HLE.
AA-Omniscience
AA-Omniscience Index
-11.2
Artificial Analysis AA-Omniscience evaluation | Independent Artificial Analysis result for GPT-5.6 Luna (max). Display-only; this row does not affect Quality or Value scores.
SWE-Bench Pro
Normalized quality input
62.7%
OpenAI GPT-5.6 release | OpenAI official GPT-5.6 launch table. Results are vendor-reported and must retain the named model tier, reasoning setting, benchmark version, and harness caveats.
Terminal-Bench 2.1
Agentic terminal task completion
84.7%
OpenAI GPT-5.6 announcement | OpenAI vendor-reported GPT-5.6 Luna Terminal-Bench 2.1 result. Do not substitute Sol, Terra, or another evaluation tier.
Benchmark evidence
Qwen3.7 Max
Verified evidence
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.
AA-Omniscience
AA-Omniscience Index
14.1
Artificial Analysis AA-Omniscience evaluation | Independent Artificial Analysis result for Qwen3.7 Max. Display-only; this row does not affect Quality or Value scores.
SWE-Bench Pro
Normalized quality input
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.
Terminal-Bench 2.0
Agentic terminal task completion
69.7%
Alibaba Cloud Qwen3.7 launch article | Official Qwen/Alibaba launch material. Terminal-Bench 2.0-Terminus value is developer-reported.
Editorial excerpt
GPT-5.6 Luna
AI-assisted, editorially reviewed
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.
Editorial excerpt
Qwen3.7 Max
AI-assisted, editorially reviewed
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 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.
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