Qwen3.6-27B vs Qwen3.8 Max: Specs & Benchmark Comparison

Qwen3.6-27B and Qwen3.8 Max both come from Alibaba, Qwen3.6-27B was released in April 2026, and Qwen3.8 Max followed 4 months later in August 2026. Qwen3.8 Max is the larger model at roughly 2.4 trillion parameters, against 28 billion for Qwen3.6-27B.

The two models share 10 published benchmarks. Qwen3.8 Max leads on 10 of them. The widest gaps are on SkillsBench, where Qwen3.8 Max scores 70.2% against 48.2%; NL2Repo, where Qwen3.8 Max scores 55.9% against 36.2%. Averaged across everything we track, Qwen3.6-27B sits at 77.5% and Qwen3.8 Max at 71.0%.

Qwen3.6-27B is the cheaper API at $0.60 per million input tokens and $3.60 per million output tokens, roughly 4 times cheaper than Qwen3.8 Max at $2.50 and $6.25. Qwen3.8 Max takes the larger context window at 1M tokens, compared with 262K for Qwen3.6-27B. Both accept text and images as input.

CharacteristicQwen3.6-27BQwen3.8 Max
CompanyAlibabaAlibaba
Release DateApril 21, 2026August 2, 2026
Parameters28B2.4T
MultimodalYesYes
Context (input)262K1.0M
Context (output)66K131K
Input Price / 1M$0.60$2.50
Output Price / 1M$3.60$6.25
Average Score77.5%71.0%
Benchmarks
SkillsBench48.2%70.2%
NL2Repo36.2%55.9%
Humanity's Last Exam24.0%43.6%
ERQA62.5%77.8%
AndroidWorld70.3%85.3%
SWE-Bench Pro53.5%67.7%
MMMU-Pro75.8%82.3%
GPQA87.8%92.6%
RealWorldQA84.1%88.0%
VideoMME w sub.87.7%90.4%

Visual Benchmark Comparison

Qwen3.6-27B
Qwen3.8 Max
SkillsBench0.5 vs 0.7
0.5
0.7
NL2Repo0.4 vs 0.6
0.4
0.6
Humanity's Last Exam0.2 vs 0.4
0.2
0.4
ERQA0.6 vs 0.8
0.6
0.8
AndroidWorld0.7 vs 0.9
0.7
0.9
SWE-Bench Pro0.5 vs 0.7
0.5
0.7
MMMU-Pro0.8 vs 0.8
0.8
0.8
GPQA0.9 vs 0.9
0.9
0.9
RealWorldQA0.8 vs 0.9
0.8
0.9
VideoMME w sub.0.9 vs 0.9
0.9
0.9

Verdict

Qwen3.8 Max leads in 2 out of 4 comparison categories.

Overall Performance

Both models show comparable average scores: Qwen3.6-27B — 0.8, Qwen3.8 Max — 0.7.

API Cost

Qwen3.6-27B is 2.1x cheaper: input $0.60/1M vs $2.50/1M tokens.

Context Window

Qwen3.8 Max supports a larger context: 1M vs 262K tokens.

Recency

Qwen3.8 Max is newer: released 8/2/2026 vs 4/21/2026.

More About These Models

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Frequently Asked Questions

Which is better for coding — Qwen3.6-27B or Qwen3.8 Max?
Direct comparison on the SWE-Bench benchmark is not available. We recommend reviewing other metrics on the comparison page.
Which model is cheaper — Qwen3.6-27B or Qwen3.8 Max?
Qwen3.6-27B is cheaper for input: $0.60 per 1M tokens vs $2.50.
Which has a larger context window — Qwen3.6-27B or Qwen3.8 Max?
Qwen3.8 Max supports a larger context: 1,000,000 tokens vs 262,144.

The Qwen3.6-27B and Qwen3.8 Max comparison is updated for 2026. Data includes benchmark results, API pricing, context window size and other specifications. For more detailed information, visit the Qwen3.6-27B or Qwen3.8 Max page. See also the complete list of AI model comparisons.