Model Comparison

Qwen3.7 Max vs GLM-5.1Which is better in 2026?

Qwen3.7 Max significantly outperforms across most benchmarks. Qwen3.7 Max is 1.1x cheaper per token.

Verdict: Qwen3.7 Max vs GLM-5.1 — which is better?

Qwen3.7 Max (by Alibaba Cloud / Qwen Team) and GLM-5.1 (by Zhipu AI) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Qwen3.7 Max outperforms in 10 benchmarks (Finance Agent v2, GDPval-AA, GPQA, HMMT Feb 26, IMO-AnswerBench, LiveBench, MCP Atlas, NL2Repo, SWE-Bench Pro, Terminal-Bench 2.0), while GLM-5.1 is better at 1 benchmark (Humanity's Last Exam). Qwen3.7 Max significantly outperforms across most benchmarks.

On price, Qwen3.7 Max is roughly 1.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

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.

Choose Qwen3.7 Max if…

  • you want the strongest raw capability — it leads on 10 of 11 shared benchmarks
  • cost matters — it's about 1.1x cheaper per token
  • you process long inputs — it offers a 1,000,000 token context window
  • you want the most recent training data — it shipped May 2026

Choose GLM-5.1 if…

  • you need open weights you can self-host or fine-tune

Performance Benchmarks

Comparative analysis across standard metrics

11 benchmarks

Qwen3.7 Max outperforms in 10 benchmarks (Finance Agent v2, GDPval-AA, GPQA, HMMT Feb 26, IMO-AnswerBench, LiveBench, MCP Atlas, NL2Repo, SWE-Bench Pro, Terminal-Bench 2.0), while GLM-5.1 is better at 1 benchmark (Humanity's Last Exam).

Qwen3.7 Max significantly outperforms across most benchmarks.

Fri Jul 17 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Qwen3.7 Max costs less

For input processing, Qwen3.7 Max ($1.25/1M tokens) is 1.1x cheaper than GLM-5.1 ($1.40/1M tokens).

For output processing, Qwen3.7 Max ($3.75/1M tokens) is 1.2x cheaper than GLM-5.1 ($4.40/1M tokens).

In conclusion, GLM-5.1 is more expensive than Qwen3.7 Max.*

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

Lowest available price from all providers
Fri Jul 17 2026 • llm-stats.com
Alibaba Cloud / Qwen Team
Qwen3.7 Max
Input tokens$1.25
Output tokens$3.75
Best providerNovita
Zhipu AI
GLM-5.1
Input tokens$1.40
Output tokens$4.40
Best providerFriendliAI
Notice missing or incorrect data?Start an Issue

Context Window

Maximum input and output token capacity

Qwen3.7 Max accepts 1,000,000 input tokens compared to GLM-5.1's 200,000 tokens. GLM-5.1 can generate longer responses up to 128,000 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
Zhipu AI
GLM-5.1
Input200,000 tokens
Output128,000 tokens
Fri Jul 17 2026 • llm-stats.com

License

Usage and distribution terms

Qwen3.7 Max is licensed under a proprietary license, while GLM-5.1 uses MIT.

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

Qwen3.7 Max

Proprietary

Closed source

GLM-5.1

MIT

Open weights

Release Timeline

When each model was launched

Qwen3.7 Max was released on 2026-05-19, while GLM-5.1 was released on 2026-04-07.

Qwen3.7 Max is 1 month newer than GLM-5.1.

Qwen3.7 Max

May 19, 2026

1 months ago

1mo newer
GLM-5.1

Apr 7, 2026

3 months ago

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. GLM-5.1 is available from FriendliAI, ZAI.

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

GLM-5.1

friendli logo
FriendliAI
Input Price:Input: $1.40/1MOutput Price:Output: $4.40/1M
z logo
Unknown Organization
Input Price:Input: $1.40/1MOutput Price:Output: $4.40/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Alibaba Cloud / Qwen Team

Qwen3.7 Max

View details

Alibaba Cloud / Qwen Team

Larger context window (1,000,000 tokens)
Less expensive input tokens
Less expensive output tokens
Higher Finance Agent v2 score (48.4% vs 44.8%)
Higher GDPval-AA score (43.6% vs 42.7%)
Higher GPQA score (92.4% vs 86.2%)
Higher HMMT Feb 26 score (97.1% vs 82.6%)
Higher IMO-AnswerBench score (90.0% vs 83.8%)
Higher LiveBench score (74.3% vs 70.2%)
Higher MCP Atlas score (76.4% vs 71.8%)
Higher NL2Repo score (47.2% vs 42.7%)
Higher SWE-Bench Pro score (60.6% vs 58.4%)
Higher Terminal-Bench 2.0 score (69.7% vs 69.0%)
Has open weights
Higher Humanity's Last Exam score (52.3% vs 41.4%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Qwen3.7 Max and GLM-5.1 side-by-side, then vote on the output you prefer.

Qwen3.7 Max
✓ Preferred
GLM-5.1
Open in Playground
AI Model Comparison Table
Feature
Alibaba Cloud / Qwen Team
Qwen3.7 Max
Zhipu AI
GLM-5.1

FAQ

Common questions about Qwen3.7 Max vs GLM-5.1.

Which is better, Qwen3.7 Max or GLM-5.1?

Qwen3.7 Max significantly outperforms across most benchmarks. Qwen3.7 Max is made by Alibaba Cloud / Qwen Team and GLM-5.1 is made by Zhipu AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Qwen3.7 Max compare to GLM-5.1 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%. GLM-5.1 scores Vending-Bench 2: 100.0%, AIME 2026: 95.3%, HMMT 2025: 94.0%, GPQA: 86.2%, IMO-AnswerBench: 83.8%.

Is Qwen3.7 Max cheaper than GLM-5.1?

Qwen3.7 Max is 1.1x cheaper for input tokens. Qwen3.7 Max costs $1.25/M input and $3.75/M output via novita. GLM-5.1 costs $1.40/M input and $4.40/M output via friendli.

What are the context window sizes for Qwen3.7 Max and GLM-5.1?

Qwen3.7 Max supports 1.0M tokens and GLM-5.1 supports 200K 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 GLM-5.1?

Key differences include context window (1.0M vs 200K), input pricing ($1.25 vs $1.40/M), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Qwen3.7 Max and GLM-5.1?

Qwen3.7 Max is developed by Alibaba Cloud / Qwen Team and GLM-5.1 is developed by Zhipu AI.