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Qwen3.7 Max vs Qwen3.8-27B

Qwen3.7 Max and Qwen3.8-27B are closely matched at 45.4 and 45.2 on the LLM Stats Score.

Alibaba Cloud / Qwen Team · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Qwen3.7 Max and Qwen3.8-27B are closely matched on the overall LLM Stats Score at 45.4 and 45.2.

In the 7 individual benchmarks reported for both models, Qwen3.7 Max wins 4; this is a narrower head-to-head signal than the composite indexes.

Qwen3.7 Max also accepts a larger context window (1,000,000 input tokens), making it the stronger choice for long documents and large codebases.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Qwen3.7 Max

  • you value its reported benchmark strengths — it wins 4 of 7 exact shared results
  • you process long inputs — it offers a 1,000,000 token context window

Choose Qwen3.8-27B

  • you want the most recent training data — it shipped Aug 2026
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Qwen3.7 Max
Alibaba Cloud / Qwen Team
Qwen3.8-27B
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
45.4
#28
45.2
#30
Reasoning
46.2
#25
44.8
#30
Coding
36.2
#20
31.6
#39
Agents
28.5
#35
30.4
#31
Cost, coverage & limits
Benchmark wins
4 of 7
3 of 7
Input price
$1.25 / M
— / M
Output price
$3.75 / M
— / M
Context window
1,000,000
262,144

Capability indexes

Additional strengths measured across groups of related public benchmarks

4 shared
Index
Qwen3.7 Max
Qwen3.8-27B
Math
43.0#3
31.0#68
Vision
25.1#44
33.1#18
Tool use
27.1#22
22.7#42
Productivity
5.3#11
5.5#10
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

42 reported for Qwen3.7 Max · 26 for Qwen3.8-27B

7 shared

Qwen3.7 Max outperforms in 4 benchmarks (GPQA, Humanity's Last Exam, LiveCodeBench v6, NL2Repo), while Qwen3.8-27B is better at 3 benchmarks (CoWorkBench, IFBench, SWE-Bench Pro).

Qwen3.7 Max has a slight edge in benchmark performance.

Mon Sep 07 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Qwen3.7 Max accepts 1,000,000 input tokens compared to Qwen3.8-27B's 262,144 tokens. Qwen3.8-27B can generate longer responses up to 131,072 tokens, while Qwen3.7 Max is limited to 65,536 tokens.

Alibaba Cloud / Qwen Team
Qwen3.7 Max
Input1,000,000 tokens
Output65,536 tokens
Alibaba Cloud / Qwen Team
Qwen3.8-27B
Input262,144 tokens
Output131,072 tokens
Mon Sep 07 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Qwen3.8-27B supports multimodal inputs, whereas Qwen3.7 Max does not.

Qwen3.8-27B can handle both text and other forms of data like images, making it suitable for multimodal applications.

Qwen3.7 Max

Text
Images
Audio
Video

Qwen3.8-27B

Text
Images
Audio
Video

License

Usage and distribution terms

Qwen3.7 Max is licensed under a proprietary license, while Qwen3.8-27B uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

Qwen3.7 Max

Proprietary

Closed source

Qwen3.8-27B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Qwen3.7 Max was released on 2026-05-19, while Qwen3.8-27B was released on 2026-08-14.

Qwen3.8-27B is 3 months newer than Qwen3.7 Max.

Qwen3.7 Max

May 19, 2026

3 months ago

Qwen3.8-27B

Aug 14, 2026

3 weeks ago

2mo newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

Qwen3.7 Max is available from Novita, Together. Qwen3.8-27B is available from FriendliAI.

Qwen3.7 Max

novita logo
Novita
Input Price:Input: $1.25/1MOutput Price:Output: $3.75/1M
together logo
Together
Input Price:Input: $2.50/1MOutput Price:Output: $7.50/1M

Qwen3.8-27B

friendli logo
FriendliAI
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Qwen3.7 Max and Qwen3.8-27B side-by-side, then vote on the output you prefer.

Qwen3.7 Max
✓ Preferred
Qwen3.8-27B
Open in Playground

FAQ

Common questions about Qwen3.7 Max vs Qwen3.8-27B.

Which is better, Qwen3.7 Max or Qwen3.8-27B?

Qwen3.7 Max and Qwen3.8-27B are closely matched on the LLM Stats Score at 45.4 and 45.2. Qwen3.7 Max is made by Alibaba Cloud / Qwen Team and Qwen3.8-27B is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Qwen3.7 Max compare to Qwen3.8-27B in benchmarks?

Qwen3.7 Max scores HMMT Feb 26: 97.1%, Kernel Bench L3: 96.0%, MMLU-Redux: 95.0%, IFEval: 94.3%, GPQA: 92.4%. Qwen3.8-27B scores MathVision: 94.6%, OmniDocBench 1.5: 91.1%, LiveCodeBench v6: 90.3%, CharXiv-R: 90.2%, GPQA: 89.2%.

What are the context window sizes for Qwen3.7 Max and Qwen3.8-27B?

Qwen3.7 Max supports 1.0M tokens and Qwen3.8-27B supports 262K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Qwen3.7 Max and Qwen3.8-27B?

Key differences include LLM Stats Score (45.4 vs 45.2), context window (1.0M vs 262K), multimodal support (no vs yes), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

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