Model Comparison

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

Both models are evenly matched across the benchmarks. Qwen3.7-Plus is 3.8x cheaper per token.

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

Qwen3.7-Plus (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-Plus outperforms in 5 benchmarks (GPQA, HMMT Feb 26, IMO-AnswerBench, MCP Atlas, Terminal-Bench 2.0), while GLM-5.1 is better at 5 benchmarks (Finance Agent v2, GDPval-AA, Humanity's Last Exam, NL2Repo, SWE-Bench Pro). Both models are evenly matched across the benchmarks.

On price, Qwen3.7-Plus is roughly 3.8x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Qwen3.7-Plus 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-Plus if…

  • cost matters — it's about 3.8x 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

10 benchmarks

Qwen3.7-Plus outperforms in 5 benchmarks (GPQA, HMMT Feb 26, IMO-AnswerBench, MCP Atlas, Terminal-Bench 2.0), while GLM-5.1 is better at 5 benchmarks (Finance Agent v2, GDPval-AA, Humanity's Last Exam, NL2Repo, SWE-Bench Pro).

Both models are evenly matched across the benchmarks.

Fri Jul 17 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Qwen3.7-Plus costs less

For input processing, Qwen3.7-Plus ($0.32/1M tokens) is 4.4x cheaper than GLM-5.1 ($1.40/1M tokens).

For output processing, Qwen3.7-Plus ($1.28/1M tokens) is 3.4x cheaper than GLM-5.1 ($4.40/1M tokens).

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

* 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-Plus
Input tokens$0.32
Output tokens$1.28
Best providerTogether
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-Plus 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-Plus is limited to 65,536 tokens.

Alibaba Cloud / Qwen Team
Qwen3.7-Plus
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

Input Capabilities

Supported data types and modalities

Qwen3.7-Plus supports multimodal inputs, whereas GLM-5.1 does not.

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

Qwen3.7-Plus

Text
Images
Audio
Video

GLM-5.1

Text
Images
Audio
Video

License

Usage and distribution terms

Qwen3.7-Plus 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-Plus

Proprietary

Closed source

GLM-5.1

MIT

Open weights

Release Timeline

When each model was launched

Qwen3.7-Plus was released on 2026-05-31, while GLM-5.1 was released on 2026-04-07.

Qwen3.7-Plus is 2 months newer than GLM-5.1.

Qwen3.7-Plus

May 31, 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-Plus is available from Together. GLM-5.1 is available from FriendliAI, ZAI.

Qwen3.7-Plus

together logo
Together
Input Price:Input: $0.32/1MOutput Price:Output: $1.28/1M

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

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Alibaba Cloud / Qwen Team

Qwen3.7-Plus

View details

Alibaba Cloud / Qwen Team

Larger context window (1,000,000 tokens)
Supports multimodal inputs
Less expensive input tokens
Less expensive output tokens
Higher GPQA score (90.3% vs 86.2%)
Higher HMMT Feb 26 score (92.9% vs 82.6%)
Higher IMO-AnswerBench score (86.0% vs 83.8%)
Higher MCP Atlas score (73.2% vs 71.8%)
Higher Terminal-Bench 2.0 score (70.3% vs 69.0%)
Zhipu AI
Has open weights
Higher Finance Agent v2 score (44.8% vs 38.2%)
Higher GDPval-AA score (42.7% vs 31.5%)
Higher Humanity's Last Exam score (52.3% vs 34.7%)
Higher NL2Repo score (42.7% vs 41.1%)
Higher SWE-Bench Pro score (58.4% vs 57.6%)

Detailed Comparison

Interactive Arena

Judge for yourself.

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

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

FAQ

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

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

Both models are evenly matched across the benchmarks. Qwen3.7-Plus 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-Plus compare to GLM-5.1 in benchmarks?

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%. 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-Plus cheaper than GLM-5.1?

Qwen3.7-Plus is 4.4x cheaper for input tokens. Qwen3.7-Plus costs $0.32/M input and $1.28/M output via together. GLM-5.1 costs $1.40/M input and $4.40/M output via friendli.

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

Qwen3.7-Plus 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-Plus and GLM-5.1?

Key differences include context window (1.0M vs 200K), input pricing ($0.32 vs $1.40/M), multimodal support (yes vs no), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Qwen3.7-Plus and GLM-5.1?

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

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