Model Comparison

Qwen3.7 Max vs GLM-5V-TurboWhich is better in 2026?

Both models are evenly matched across the benchmarks. Qwen3.7 Max is 1.0x cheaper per token.

Verdict: Qwen3.7 Max vs GLM-5V-Turbo — which is better?

Qwen3.7 Max (by Alibaba Cloud / Qwen Team) and GLM-5V-Turbo (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 1 benchmarks (ZClawBench), while GLM-5V-Turbo is better at 1 benchmark (Claw-Eval). Both models are evenly matched across the benchmarks.

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 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-5V-Turbo if…

  • you want predictable pricing at $1.20/M input and $4.00/M output

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Qwen3.7 Max outperforms in 1 benchmarks (ZClawBench), while GLM-5V-Turbo is better at 1 benchmark (Claw-Eval).

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 Max costs less

For input processing, Qwen3.7 Max ($1.25/1M tokens) is 1.0x more expensive than GLM-5V-Turbo ($1.20/1M tokens).

For output processing, Qwen3.7 Max ($3.75/1M tokens) is 1.1x cheaper than GLM-5V-Turbo ($4.00/1M tokens).

In conclusion, GLM-5V-Turbo 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-5V-Turbo
Input tokens$1.20
Output tokens$4.00
Best providerUnknown Organization
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-5V-Turbo's 200,000 tokens. GLM-5V-Turbo 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-5V-Turbo
Input200,000 tokens
Output128,000 tokens
Fri Jul 17 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GLM-5V-Turbo supports multimodal inputs, whereas Qwen3.7 Max does not.

GLM-5V-Turbo can handle both text and other forms of data like images, making it suitable for multimodal applications.

Qwen3.7 Max

Text
Images
Audio
Video

GLM-5V-Turbo

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

GLM-5V-Turbo

Proprietary

Closed source

Release Timeline

When each model was launched

Qwen3.7 Max was released on 2026-05-19, while GLM-5V-Turbo was released on 2026-04-02.

Qwen3.7 Max is 2 months newer than GLM-5V-Turbo.

Qwen3.7 Max

May 19, 2026

1 months ago

1mo newer
GLM-5V-Turbo

Apr 2, 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-5V-Turbo is available from 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-5V-Turbo

z logo
Unknown Organization
Input Price:Input: $1.20/1MOutput Price:Output: $4.00/1M
* 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 Max

View details

Alibaba Cloud / Qwen Team

Larger context window (1,000,000 tokens)
Less expensive output tokens
Higher ZClawBench score (64.3% vs 57.6%)
Zhipu AI
Supports multimodal inputs
Less expensive input tokens
Higher Claw-Eval score (75.0% vs 65.2%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Qwen3.7 Max and GLM-5V-Turbo side-by-side, then vote on the output you prefer.

Qwen3.7 Max
✓ Preferred
GLM-5V-Turbo
Open in Playground
AI Model Comparison Table
Feature
Alibaba Cloud / Qwen Team
Qwen3.7 Max
Zhipu AI
GLM-5V-Turbo

FAQ

Common questions about Qwen3.7 Max vs GLM-5V-Turbo.

Which is better, Qwen3.7 Max or GLM-5V-Turbo?

Both models are evenly matched across the benchmarks. Qwen3.7 Max is made by Alibaba Cloud / Qwen Team and GLM-5V-Turbo 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-5V-Turbo 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-5V-Turbo scores Design2Code: 94.8%, Flame-VLM-Code: 93.8%, V*: 89.0%, WebVoyager: 88.5%, PinchBench: 80.7%.

Is Qwen3.7 Max cheaper than GLM-5V-Turbo?

GLM-5V-Turbo is 1.0x cheaper for input tokens. Qwen3.7 Max costs $1.25/M input and $3.75/M output via novita. GLM-5V-Turbo costs $1.20/M input and $4.00/M output via z.

What are the context window sizes for Qwen3.7 Max and GLM-5V-Turbo?

Qwen3.7 Max supports 1.0M tokens and GLM-5V-Turbo 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-5V-Turbo?

Key differences include context window (1.0M vs 200K), input pricing ($1.25 vs $1.20/M), multimodal support (no vs yes). See the full comparison above for benchmark-by-benchmark results.

Who makes Qwen3.7 Max and GLM-5V-Turbo?

Qwen3.7 Max is developed by Alibaba Cloud / Qwen Team and GLM-5V-Turbo is developed by Zhipu AI.

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