Qwen3.8 Max review navigator
Official benchmarks, independent analysis, and community reports about Qwen3.8 Max, clearly separated from Tabbit's own testing.
Media
5 source-checked resourcesQwen3.8-Max: Official Release Notes and Complete Performance Results
Source type: Official release/benchmark results Publication: Official Qwen Blog Author: Qwen Team Publication date: 2026…。
Qwen3.8-Max: Artificial Analysis's Independent Index for Quality, Cost, Speed, and Verbosity
One-sentence takeaway Artificial Analysis's current page gives Qwen3.8 Max an Intelligence Index score of 58 (No. 10 among 180 comparable models), while also recording its low speed of about 45 token/s, roughly 150M total output tokens across the index evaluat。
Qwen3.8-Max: NYU Shanghai RITS Review of Agentic Index Evolution, Turns, and Hallucination Cost
One-sentence takeaway RITS's organization of the Artificial Analysis snapshot shows that Qwen3.8-Max is close to the top models on agentic capability, but gets there mainly by taking longer Agent trajectories: about 64 turns per GDPval-AA task at roughly $1.14。
Qwen3.8-Max Preview: Trilogy AI's StackPerf Codebase Architecture Blind Test
One-sentence takeaway On the same 269-file, 60-minute StackPerf codebase architecture task using OpenCode 1.17.13, Qwen3.8-Max Preview scored 80 and Kimi K3 scored 83; Qwen was stronger on system boundaries, evidence citations, and replay metadata, while Kimi 。
Qwen3.8 Max: BenchLM's Source-Verifiable Benchmark Ledger
One-sentence takeaway BenchLM normalizes Qwen3.8 Max's 52 source-displayable benchmarks to 79.91/100, ranking it sixth among 218 models, but its category ledger also shows strong performance in Reasoning, Agentic, Multimodal, and instruction following while Au。
Community
4 source-checked resourcesQwen3.8-Max: Persistence, Full-pass Rate, and Task Cost on Legal Research Bench
Vals AI's thread explains Qwen3.8-Max's improvement as being “more persistent,” not simply “smarter”: its Legal Research Bench ranking rose from No. 22 to No. 4, at an approximate cost of $2.49 per task, while the number of turns, tool calls, sources, and elap。
Qwen3.8-27B Local Quantized Model: Reasoning Effort Level Test
The author tested Qwen3.8-27B on four machines: MLX 4-bit on an M5 Max, and unsloth/Qwen3.8-27B-NVFP4 running through vLLM on a DGX Spark. He observed a marked jump from thinking off to effort=low, but on the 4-bit model, xhigh can take an extreme amount of ti。
Reddit Community: Qwen3.8-Max Coding Ability, Speed, and Usage Quota
This is a community discussion asking whether Qwen3.8-Max is really suitable for programming. The feedback is polarized: some users consider it close to Claude/GPT, while others find it slow, expensive, and prone to overthinking. Another user used it to genera。
Reddit: Is Qwen3.8-Max's High Score Inflated by a Single Benchmark?
The original poster noticed that Qwen3.8-Max has a very high composite score, but did not feel equally intelligent while using it for research in the Qwen App, and asked whether “benchmaxxing” was involved. Replies pointed out that the composite score is pulle。
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Official benchmarks, independent analysis, and community reports about Qwen3.8 Max, clearly separated from Tabbit's own testing.