Grok 4.5 vs Qwen3.7 Max: Pricing, Quality, Value, and Benchmarks | PickAIModel
PickAIModel.com - Compare Grok 4.5 and Qwen3.7 Max
Grok 4.5 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
Grok 4.5 Quality
51.1
Qwen3.7 Max Quality
46.5
Quality delta
+4.6Grok 4.5 leads
Value delta
+4.4Grok 4.5 leads
Buyer summary
Grok 4.5 leads Quality by 4.6 points. Grok 4.5 leads Value by 4.4 points.
Shared roster
Both pages link back to the same published roster and methodology, so the comparison stays on one deterministic evidence set.
Quality rank 7 and value rank 8 in the current published roster.
Qwen3.7 Max
Q 46.5
V 3.9
Quality rank 8 and value rank 10 in the current published roster.
Buyer access
Pricing, app access, and Conversation Value
Grok 4.5
Verified vendor fact3K tokens/chat
Grok: Price unavailable
Unavailable
Hosted app: Grok
Qwen3.7 Max
Verified vendor fact
Benchmark evidence
Grok 4.5
Verified evidence
Humanity's Last Exam
Normalized quality input
40.3%
Artificial Analysis Grok 4.5 high evaluation | Independent exact Grok 4.5 high result; do not substitute another Grok reasoning configuration.
AA-Omniscience
AA-Omniscience Index
26.0
Artificial Analysis AA-Omniscience evaluation | Independent Artificial Analysis result for Grok 4.5 (high). Display-only; this row does not affect Quality or Value scores.
SWE-Bench Pro
Normalized quality input
64.7%
xAI Grok 4.5 release | Vendor-reported exact Grok 4.5 SWE-Bench Pro resolve rate; retain the published harness context.
Terminal-Bench 2.1
Agentic terminal task completion
83.3%
xAI Grok 4.5 release | Vendor-reported exact Grok 4.5 Terminal-Bench 2.1 result; tool use is intrinsic to the harness.
Editorial excerpt
Grok 4.5
AI-assisted, editorially reviewed
This model is still under editorial review. We will publish a verdict as soon as we have completed our review of the AI model.
This model is still under editorial review. We will publish a verdict as soon as we have completed our review of the AI model.
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.
Continue Research
Move from the head-to-head page back into the full roster.
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.
3K tokens/chat
Qwen Chat: Price unavailable
Free tier
Hosted app: Qwen Chat
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.