PickAIModel.com - Compare Claude Opus 5 and Qwen3.7 Max
Claude Opus 5 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
Claude Opus 5 Quality
99.1
Qwen3.7 Max Quality
52.3
Quality delta
+46.8Claude Opus 5 leads
Value delta
-29.9Qwen3.7 Max leads
Buyer summary
Claude Opus 5 leads Quality by 46.8 points. Qwen3.7 Max leads Value by 29.9 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
Claude Opus 5
Q 99.1
V 40.5
Quality rank 2 and value rank 2 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
Claude Opus 5
Verified vendor fact3K tokens/chat
Claude Pro: $20/month
~392 chats
Hosted app: Claude
Qwen3.7 Max
Verified vendor fact3K tokens/chat
Qwen Chat: Price unavailable
Free tier
Hosted app: Qwen Chat
Benchmark evidence
Claude Opus 5
Verified evidence
Humanity's Last Exam
Normalized quality input
52.6%
Artificial Analysis Claude Opus 5 evaluation | Independent text-only HLE evaluation using adaptive reasoning at maximum effort over the 2,158-question set.
SWE-Bench Pro
Normalized quality input
79.2%
Anthropic Claude Opus 5 system card | Vendor-reported SWE-Bench Pro result using adaptive thinking at maximum effort, default sampling settings, averaged over five trials.
Terminal-Bench 2.1
Agentic terminal task completion
89.0%
Artificial Analysis Claude Opus 5 analysis | Independent Terminal-Bench 2.1 result for Claude Opus 5 at maximum effort.
GPQA Diamond
Normalized quality input
93.2%
Artificial Analysis Claude Opus 5 evaluation | Supplementary GPQA evidence is optional and is not a scored PickAI input.
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
Claude Opus 5
AI-assisted, editorially reviewed
Anthropic's Opus successor pairs frontier reasoning and coding results with premium $5/$25 token pricing.
Claude Opus 5 combines a 1M-token context window with strong exact-variant HLE and SWE-Bench Pro results. Its $5 per million input-token and $25 per million output-token prices keep it in the premium tier, so it is best reserved for work where capability matters more than unit cost.
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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