GLM-5.3 vs Qwen3.7 Max

GLM-5.3 leads the LLM Stats Score 53.4 to 45.6. Qwen3.7 Max is 1.0x cheaper per token.

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

Which is better?

GLM-5.3 leads the overall LLM Stats Score 53.4 to 45.6, ranking #8 overall.

In the 2 individual benchmarks reported for both models, GLM-5.3 wins 2; this is a narrower head-to-head signal than the composite indexes.

GLM-5.3 also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose GLM-5.3

overall performance matters — it scores 53.4 and ranks #8 on LLM Stats
your work emphasizes reasoning and coding — it leads those capability indexes
you value its reported benchmark strengths — it wins 2 of 2 exact shared results
you process long inputs — it offers a 1,048,576 token context window
you want the most recent training data — it shipped Aug 2026
you need open weights you can self-host or fine-tune

Choose Qwen3.7 Max

you want predictable pricing at $1.25/M input and $3.75/M output

At a glance

The differences that matter most.

Better token value: Qwen3.7 Max

GLM-5.3

Zhipu AI

Qwen3.7 Max

Alibaba Cloud / Qwen Team

Core performance indexes

LLM Stats Score

53.4

#8 · 17 evals

Best

45.6

#26 · 37 evals

Reasoning

52.8

#6 · 9 evals

Best

46.2

#25 · 24 evals

Coding

43.1

#6 · 12 evals

Best

36.3

#21 · 10 evals

Agents

39.8

#7 · 16 evals

Best

29.3

#36 · 13 evals

Cost, coverage & limits

Benchmark wins

2 of 2

Best

0 of 2

Input price

$1.20 / M

Best

$1.25 / M

Output price

$4.00 / M

$3.75 / M

Best

Context window

1,048,576

Best

1,000,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared

Index

GLM-5.3

Qwen3.7 Max

Tool use

34.0#4 · 6 evals

27.5#22 · 5 evals

Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

17 reported for GLM-5.3 · 42 for Qwen3.7 Max

2 shared

GLM-5.3 outperforms in 2 benchmarks (Humanity's Last Exam, NL2Repo), while Qwen3.7 Max is better at 0 benchmarks.

GLM-5.3 significantly outperforms across most benchmarks.

Thu Sep 10 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Qwen3.7 Max costs less

For input processing, GLM-5.3 ($1.20/1M tokens) is 1.0x cheaper than Qwen3.7 Max ($1.25/1M tokens).

For output processing, GLM-5.3 ($4.00/1M tokens) is 1.1x more expensive than Qwen3.7 Max ($3.75/1M tokens).

In conclusion, GLM-5.3 is more expensive than Qwen3.7 Max.*

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

Lowest available price from all providers

Thu Sep 10 2026 • llm-stats.com

GLM-5.3

Input tokens$1.20

Output tokens$4.00

Best providerDeepinfra

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

GLM-5.3 accepts 1,048,576 input tokens compared to Qwen3.7 Max's 1,000,000 tokens. GLM-5.3 can generate longer responses up to 1,048,576 tokens, while Qwen3.7 Max is limited to 65,536 tokens.

GLM-5.3

Input1,048,576 tokens

Output1,048,576 tokens

Qwen3.7 Max

Input1,000,000 tokens

Output65,536 tokens

Thu Sep 10 2026 • llm-stats.com

License

Usage and distribution terms

GLM-5.3 is licensed under GLM-5.3 License, 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-5.3

GLM-5.3 License

Open weights

Qwen3.7 Max

Proprietary

Closed source

Release Timeline

When each model was launched

GLM-5.3 was released on 2026-08-14, while Qwen3.7 Max was released on 2026-05-19.

GLM-5.3 is 3 months newer than Qwen3.7 Max.

GLM-5.3

Aug 14, 2026

3 weeks ago

2mo newer

Qwen3.7 Max

May 19, 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

GLM-5.3 is available from DeepInfra, FriendliAI, Novita, ZAI. Qwen3.7 Max is available from Novita, DeepInfra, Together.

GLM-5.3

Deepinfra

Input Price:Input: $1.20/1MOutput Price:Output: $4.00/1M

FriendliAI

Input Price:Input: $1.40/1MOutput Price:Output: $4.40/1M

Novita

Input Price:Input: $1.40/1MOutput Price:Output: $4.40/1M

Unknown Organization

Input Price:Input: $1.40/1MOutput Price:Output: $4.40/1M

Qwen3.7 Max

Novita

Input Price:Input: $1.25/1MOutput Price:Output: $3.75/1M

Deepinfra

Input Price:Input: $2.50/1MOutput Price:Output: $7.50/1M

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→

Judge for yourself.

Run your own prompts against GLM-5.3 and Qwen3.7 Max side-by-side, then vote on the output you prefer.

GLM-5.3

✓ Preferred

Qwen3.7 Max

Open in Playground

FAQ

Common questions about GLM-5.3 vs Qwen3.7 Max.

Which is better, GLM-5.3 or Qwen3.7 Max?

GLM-5.3 leads the LLM Stats Score 53.4 to 45.6. GLM-5.3 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 capability indexes, individual benchmarks, pricing, and limits above.

How does GLM-5.3 compare to Qwen3.7 Max in benchmarks?

GLM-5.3 scores Terminal-Bench 2.1: 88.2%, CyberGym: 84.5%, FrontierSWE: 78.1%, Toolathlon: 73.0%, DeepSWE 1.1: 66.9%. 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-5.3 cheaper than Qwen3.7 Max?

GLM-5.3 is 1.0x cheaper for input tokens. GLM-5.3 costs $1.20/M input and $4.00/M output via deepinfra. Qwen3.7 Max costs $1.25/M input and $3.75/M output via novita.

What are the context window sizes for GLM-5.3 and Qwen3.7 Max?

GLM-5.3 supports 1.0M 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-5.3 and Qwen3.7 Max?

Key differences include LLM Stats Score (53.4 vs 45.6), context window (1.0M vs 1.0M), input pricing ($1.20 vs $1.25/M), licensing (GLM-5.3 License vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-5.3 and Qwen3.7 Max?

GLM-5.3 is developed by Zhipu AI and Qwen3.7 Max is developed by Alibaba Cloud / Qwen Team.

GLM-5.3 vs Qwen3.7 Max

Which is better?

Choose GLM-5.3

Choose Qwen3.7 Max

At a glance

Capability indexes

Individual benchmarks

Human preference

Pricing Analysis

Context Window

License

Release Timeline

Knowledge Cutoff

Provider Availability

GLM-5.3

Qwen3.7 Max

Outputs Comparison

Judge for yourself.

FAQ

Which is better, GLM-5.3 or Qwen3.7 Max?

How does GLM-5.3 compare to Qwen3.7 Max in benchmarks?

Is GLM-5.3 cheaper than Qwen3.7 Max?

What are the context window sizes for GLM-5.3 and Qwen3.7 Max?

What are the main differences between GLM-5.3 and Qwen3.7 Max?

Who makes GLM-5.3 and Qwen3.7 Max?

More GLM-5.3 comparisons

More Qwen3.7 Max comparisons

GLM-5.3 vs Qwen3.7 Max

Which is better?

Choose GLM-5.3

Choose Qwen3.7 Max

At a glance

Capability indexes

Individual benchmarks

Human preference

Pricing Analysis

Context Window

License

Release Timeline

Knowledge Cutoff

Provider Availability

GLM-5.3

Qwen3.7 Max

Outputs Comparison

Judge for yourself.

Which is better, GLM-5.3 or Qwen3.7 Max?

How does GLM-5.3 compare to Qwen3.7 Max in benchmarks?

Is GLM-5.3 cheaper than Qwen3.7 Max?

What are the context window sizes for GLM-5.3 and Qwen3.7 Max?

What are the main differences between GLM-5.3 and Qwen3.7 Max?

Who makes GLM-5.3 and Qwen3.7 Max?

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