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Qwen3.7 Max vs Qwen3.7-Plus

Qwen3.7 Max and Qwen3.7-Plus are closely matched at 45.4 and 42.7 on the LLM Stats Score. Qwen3.7-Plus is 3.3x cheaper per token.

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

Which is better?

Qwen3.7 Max and Qwen3.7-Plus are closely matched on the overall LLM Stats Score at 45.4 and 42.7.

In the 35 individual benchmarks reported for both models, Qwen3.7 Max wins 31; this is a narrower head-to-head signal than the composite indexes.

On price, Qwen3.7-Plus is roughly 3.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

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 31 of 35 exact shared results

Choose Qwen3.7-Plus

  • cost matters — it's about 3.3x cheaper per token
  • you want the most recent training data — it shipped May 2026

At a glance

The differences that matter most.

Core performance indexes
45.4
#28
42.7
#44
46.2
#25
43.1
#39
36.2
#20
30.8
#46
28.5
#35
24.1
#47
Cost, coverage & limits
Benchmark wins
31 of 35
4 of 35
Input price
$1.25 / M
$0.32 / M
Output price
$3.75 / M
$1.28 / M
Context window
1,000,000
1,000,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

6 shared
Index
Qwen3.7 Max
Qwen3.7-Plus
43.0#3
39.5#15
25.1#44
32.2#21
27.1#22
23.8#38
41.1#1
36.9#4
44.1#1
40.9#2
1 more shared indexes
5.3#11
-3.7#13
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

42 reported for Qwen3.7 Max · 70 for Qwen3.7-Plus

35 shared

Qwen3.7 Max outperforms in 31 benchmarks (BFCL-V4, Claw-Eval, CoWorkBench, CritPT, Finance Agent v2, Global PIQA, GPQA, HMMT Feb 26, Humanity's Last Exam, IMO-AnswerBench, Include, LiveCodeBench v6, MAXIFE, MCP Atlas, MCP-Mark, MMLU-Pro, MMLU-ProX, MMLU-Redux, MMMLU, NL2Repo, NOVA-63, PolyMATH, SciCode, SkillsBench, SpreadSheetBench-v1, SuperGPQA, SWE-bench Multilingual, SWE-Bench Pro, SWE-Bench Verified, VITA-Bench, WMT24++), while Qwen3.7-Plus is better at 3 benchmarks (IFEval, QwenWorldBench, Terminal-Bench 2.0).

Qwen3.7 Max significantly outperforms across most benchmarks.

Sun Sep 06 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Qwen3.7-Plus costs less

For input processing, Qwen3.7 Max ($1.25/1M tokens) is 3.9x more expensive than Qwen3.7-Plus ($0.32/1M tokens).

For output processing, Qwen3.7 Max ($3.75/1M tokens) is 2.9x more expensive than Qwen3.7-Plus ($1.28/1M tokens).

In conclusion, Qwen3.7 Max is more expensive than Qwen3.7-Plus.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Sun Sep 06 2026 • llm-stats.com
Alibaba Cloud / Qwen Team
Qwen3.7 Max
Input tokens$1.25
Output tokens$3.75
Best providerNovita
Alibaba Cloud / Qwen Team
Qwen3.7-Plus
Input tokens$0.32
Output tokens$1.28
Best providerTogether
Notice missing or incorrect data?Start an Issue

Context Window

Maximum input and output token capacity

Both models have the same input context window of 1,000,000 tokens. Both models can generate responses up to 65,536 tokens.

Alibaba Cloud / Qwen Team
Qwen3.7 Max
Input1,000,000 tokens
Output65,536 tokens
Alibaba Cloud / Qwen Team
Qwen3.7-Plus
Input1,000,000 tokens
Output65,536 tokens
Sun Sep 06 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Qwen3.7-Plus supports multimodal inputs, whereas Qwen3.7 Max does not.

Qwen3.7-Plus can handle both text and other forms of data like images, making it suitable for multimodal applications.

Qwen3.7 Max

Text
Images
Audio
Video

Qwen3.7-Plus

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under proprietary licenses.

Both models have usage restrictions defined by their respective organizations.

Qwen3.7 Max

Proprietary

Closed source

Qwen3.7-Plus

Proprietary

Closed source

Release Timeline

When each model was launched

Qwen3.7 Max was released on 2026-05-19, while Qwen3.7-Plus was released on 2026-05-31.

Qwen3.7-Plus is 0 month newer than Qwen3.7 Max.

Qwen3.7 Max

May 19, 2026

3 months ago

Qwen3.7-Plus

May 31, 2026

3 months ago

1w 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. Qwen3.7-Plus is available from Together, Fireworks.

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

Qwen3.7-Plus

together logo
Together
Input Price:Input: $0.32/1MOutput Price:Output: $1.28/1M
fireworks logo
Fireworks
Input Price:Input: $0.40/1MOutput Price:Output: $1.60/1M
* 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 Qwen3.7-Plus side-by-side, then vote on the output you prefer.

Qwen3.7 Max
✓ Preferred
Qwen3.7-Plus
Open in Playground

FAQ

Common questions about Qwen3.7 Max vs Qwen3.7-Plus.

Which is better, Qwen3.7 Max or Qwen3.7-Plus?

Qwen3.7 Max and Qwen3.7-Plus are closely matched on the LLM Stats Score at 45.4 and 42.7. Qwen3.7 Max is made by Alibaba Cloud / Qwen Team and Qwen3.7-Plus 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 Qwen3.7-Plus 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%. Qwen3.7-Plus scores IFEval: 94.6%, MMLU-Redux: 94.5%, HMMT Feb 26: 92.9%, MRCR v2: 91.7%, OmniDocBench 1.5: 91.4%.

Is Qwen3.7 Max cheaper than Qwen3.7-Plus?

Qwen3.7-Plus is 3.9x cheaper for input tokens. Qwen3.7 Max costs $1.25/M input and $3.75/M output via novita. Qwen3.7-Plus costs $0.32/M input and $1.28/M output via together.

What are the context window sizes for Qwen3.7 Max and Qwen3.7-Plus?

Qwen3.7 Max supports 1.0M tokens and Qwen3.7-Plus supports 1.0M 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 Qwen3.7-Plus?

Key differences include LLM Stats Score (45.4 vs 42.7), input pricing ($1.25 vs $0.32/M), multimodal support (no vs yes). See the full comparison above for benchmark-by-benchmark results.