Model Comparison

GLM-5 vs Qwen3.7 MaxWhich is better in 2026?

Qwen3.7 Max significantly outperforms across most benchmarks. GLM-5 is 1.2x cheaper per token.

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

GLM-5 (by Zhipu AI) and Qwen3.7 Max (by Alibaba Cloud / Qwen Team) 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.

GLM-5 outperforms in 0 benchmarks, while Qwen3.7 Max is better at 3 benchmarks (MCP Atlas, SWE-Bench Verified, Terminal-Bench 2.0). Qwen3.7 Max significantly outperforms across most benchmarks.

On price, GLM-5 is roughly 1.2x 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 GLM-5 if…

  • cost matters — it's about 1.2x cheaper per token
  • you need open weights you can self-host or fine-tune

Choose Qwen3.7 Max if…

  • you want the strongest raw capability — it leads on 3 of 3 shared benchmarks
  • you process long inputs — it offers a 1,000,000 token context window
  • you want the most recent training data — it shipped May 2026
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Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

GLM-5 outperforms in 0 benchmarks, while Qwen3.7 Max is better at 3 benchmarks (MCP Atlas, SWE-Bench Verified, Terminal-Bench 2.0).

Qwen3.7 Max significantly outperforms across most benchmarks.

Thu Jun 11 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

GLM-5 costs less

For input processing, GLM-5 ($1.00/1M tokens) is 1.3x cheaper than Qwen3.7 Max ($1.25/1M tokens).

For output processing, GLM-5 ($3.20/1M tokens) is 1.2x cheaper than Qwen3.7 Max ($3.75/1M tokens).

In conclusion, Qwen3.7 Max is more expensive than GLM-5.*

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

Lowest available price from all providers
Thu Jun 11 2026 • llm-stats.com
Zhipu AI
GLM-5
Input tokens$1.00
Output tokens$3.20
Best providerFriendliAI
Alibaba Cloud / Qwen Team
Qwen3.7 Max
Input tokens$1.25
Output tokens$3.75
Best providerNovita
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's 200,000 tokens. GLM-5 can generate longer responses up to 128,000 tokens, while Qwen3.7 Max is limited to 65,536 tokens.

Zhipu AI
GLM-5
Input200,000 tokens
Output128,000 tokens
Alibaba Cloud / Qwen Team
Qwen3.7 Max
Input1,000,000 tokens
Output65,536 tokens
Thu Jun 11 2026 • llm-stats.com

License

Usage and distribution terms

GLM-5 is licensed under MIT, while Qwen3.7 Max uses a proprietary license.

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

GLM-5

MIT

Open weights

Qwen3.7 Max

Proprietary

Closed source

Release Timeline

When each model was launched

GLM-5 was released on 2026-02-11, while Qwen3.7 Max was released on 2026-05-19.

Qwen3.7 Max is 3 months newer than GLM-5.

GLM-5

Feb 11, 2026

4 months ago

Qwen3.7 Max

May 19, 2026

3 weeks ago

3mo 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

GLM-5 is available from FriendliAI, ZAI. Qwen3.7 Max is available from Novita, Together.

GLM-5

friendli logo
FriendliAI
Input Price:Input: $1.00/1MOutput Price:Output: $3.20/1M
z logo
Unknown Organization
Input Price:Input: $1.00/1MOutput Price:Output: $3.20/1M

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
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Zhipu AI
Less expensive input tokens
Less expensive output tokens
Has open weights
Alibaba Cloud / Qwen Team

Qwen3.7 Max

View details

Alibaba Cloud / Qwen Team

Larger context window (1,000,000 tokens)
Higher MCP Atlas score (76.4% vs 67.8%)
Higher SWE-Bench Verified score (80.4% vs 77.8%)
Higher Terminal-Bench 2.0 score (69.7% vs 56.2%)

Detailed Comparison

AI Model Comparison Table
Feature
Zhipu AI
GLM-5
Alibaba Cloud / Qwen Team
Qwen3.7 Max

FAQ

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

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

Qwen3.7 Max significantly outperforms across most benchmarks. GLM-5 is made by Zhipu AI and Qwen3.7 Max is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does GLM-5 compare to Qwen3.7 Max in benchmarks?

GLM-5 scores t2-bench: 89.7%, SWE-Bench Verified: 77.8%, BrowseComp: 75.9%, MCP Atlas: 67.8%, Terminal-Bench 2.0: 56.2%. Qwen3.7 Max scores HMMT Feb 26: 97.1%, Kernel Bench L3: 96.0%, MMLU-Redux: 95.0%, IFEval: 94.3%, GPQA: 92.4%.

Is GLM-5 cheaper than Qwen3.7 Max?

GLM-5 is 1.3x cheaper for input tokens. GLM-5 costs $1.00/M input and $3.20/M output via friendli. Qwen3.7 Max costs $1.25/M input and $3.75/M output via novita.

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

GLM-5 supports 200K tokens and Qwen3.7 Max 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 GLM-5 and Qwen3.7 Max?

Key differences include context window (200K vs 1.0M), input pricing ($1.00 vs $1.25/M), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-5 and Qwen3.7 Max?

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

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