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GLM-5.3 vs Qwen3.5-397B-A17B

GLM-5.3 significantly outperforms across most benchmarks. Qwen3.5-397B-A17B is 1.6x cheaper per token.

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

Which is better?

GLM-5.3 outperforms in 2 benchmarks (Humanity's Last Exam, Toolathlon), while Qwen3.5-397B-A17B is better at 0 benchmarks. GLM-5.3 significantly outperforms across most benchmarks.

On price, Qwen3.5-397B-A17B is roughly 1.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

GLM-5.3 also accepts a larger context window (1,000,000 input tokens), making it the stronger choice for long documents and large codebases.

Based on current benchmark, pricing, and model metadata for 2026.

Choose GLM-5.3

  • you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
  • you process long inputs — it offers a 1,000,000 token context window
  • you want the most recent training data — it shipped Aug 2026

Choose Qwen3.5-397B-A17B

  • cost matters — it's about 1.6x cheaper per token
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Benchmark wins
2 of 2
0 of 2
Input price
$1.40 / M
$0.60 / M
Output price
$4.40 / M
$3.60 / M
Context window
1,000,000
262,144
Released
Aug 2026
Feb 2026
License
Unknown
Apache 2.0

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

GLM-5.3 outperforms in 2 benchmarks (Humanity's Last Exam, Toolathlon), while Qwen3.5-397B-A17B is better at 0 benchmarks.

GLM-5.3 significantly outperforms across most benchmarks.

Wed Aug 26 2026 • llm-stats.com

Arena Performance

Playground indexes and blind preference scores

Pricing Analysis

Price comparison per million tokens

Qwen3.5-397B-A17B costs less

For input processing, GLM-5.3 ($1.40/1M tokens) is 2.3x more expensive than Qwen3.5-397B-A17B ($0.60/1M tokens).

For output processing, GLM-5.3 ($4.40/1M tokens) is 1.2x more expensive than Qwen3.5-397B-A17B ($3.60/1M tokens).

In conclusion, GLM-5.3 is more expensive than Qwen3.5-397B-A17B.*

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

Lowest available price from all providers
Wed Aug 26 2026 • llm-stats.com
Zhipu AI
GLM-5.3
Input tokens$1.40
Output tokens$4.40
Best providerUnknown Organization
Alibaba Cloud / Qwen Team
Qwen3.5-397B-A17B
Input tokens$0.60
Output tokens$3.60
Best providerNovita
Notice missing or incorrect data?Start an Issue

Model Size

Parameter count comparison

356.0B diff

GLM-5.3 has 356.0B more parameters than Qwen3.5-397B-A17B, making it 89.7% larger.

Zhipu AI
GLM-5.3
753.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3.5-397B-A17B
397.0Bparameters
753.0B
GLM-5.3
397.0B
Qwen3.5-397B-A17B

Context Window

Maximum input and output token capacity

GLM-5.3 accepts 1,000,000 input tokens compared to Qwen3.5-397B-A17B's 262,144 tokens. GLM-5.3 can generate longer responses up to 131,072 tokens, while Qwen3.5-397B-A17B is limited to 64,000 tokens.

Zhipu AI
GLM-5.3
Input1,000,000 tokens
Output131,072 tokens
Alibaba Cloud / Qwen Team
Qwen3.5-397B-A17B
Input262,144 tokens
Output64,000 tokens
Wed Aug 26 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Qwen3.5-397B-A17B supports multimodal inputs, whereas GLM-5.3 does not.

Qwen3.5-397B-A17B can handle both text and other forms of data like images, making it suitable for multimodal applications.

GLM-5.3

Text
Images
Audio
Video

Qwen3.5-397B-A17B

Text
Images
Audio
Video

Release Timeline

When each model was launched

GLM-5.3 was released on 2026-08-14, while Qwen3.5-397B-A17B was released on 2026-02-16.

GLM-5.3 is 6 months newer than Qwen3.5-397B-A17B.

GLM-5.3

Aug 14, 2026

1 weeks ago

5mo newer
Qwen3.5-397B-A17B

Feb 16, 2026

6 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 ZAI. Qwen3.5-397B-A17B is available from Novita.

GLM-5.3

z logo
Unknown Organization
Input Price:Input: $1.40/1MOutput Price:Output: $4.40/1M

Qwen3.5-397B-A17B

novita logo
Novita
Input Price:Input: $0.60/1MOutput Price:Output: $3.60/1M
* 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 Qwen3.5-397B-A17B side-by-side, then vote on the output you prefer.

GLM-5.3
✓ Preferred
Qwen3.5-397B-A17B
Open in Playground

FAQ

Common questions about GLM-5.3 vs Qwen3.5-397B-A17B.

Which is better, GLM-5.3 or Qwen3.5-397B-A17B?

GLM-5.3 significantly outperforms across most benchmarks. GLM-5.3 is made by Zhipu AI and Qwen3.5-397B-A17B 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-5.3 compare to Qwen3.5-397B-A17B 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%. Qwen3.5-397B-A17B scores MMLU-Redux: 94.9%, HMMT 2025: 94.8%, C-Eval: 93.0%, HMMT25: 92.7%, IFEval: 92.6%.

Is GLM-5.3 cheaper than Qwen3.5-397B-A17B?

Qwen3.5-397B-A17B is 2.3x cheaper for input tokens. GLM-5.3 costs $1.40/M input and $4.40/M output via z. Qwen3.5-397B-A17B costs $0.60/M input and $3.60/M output via novita.

What are the context window sizes for GLM-5.3 and Qwen3.5-397B-A17B?

GLM-5.3 supports 1.0M tokens and Qwen3.5-397B-A17B supports 262K 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 Qwen3.5-397B-A17B?

Key differences include context window (1.0M vs 262K), input pricing ($1.40 vs $0.60/M), multimodal support (no vs yes), licensing (Unknown vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-5.3 and Qwen3.5-397B-A17B?

GLM-5.3 is developed by Zhipu AI and Qwen3.5-397B-A17B is developed by Alibaba Cloud / Qwen Team.