Model Comparison

GLM-5 vs Qwen3-Coder

Comparing GLM-5 and Qwen3-Coder across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GLM-5 and Qwen3-Coder don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Qwen3-Coder costs less

For input processing, GLM-5 ($1.00/1M tokens) is 5.6x more expensive than Qwen3-Coder ($0.18/1M tokens).

For output processing, GLM-5 ($3.20/1M tokens) is 17.8x more expensive than Qwen3-Coder ($0.18/1M tokens).

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

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

Lowest available price from all providers

Thu May 07 2026 • llm-stats.com

GLM-5

Input tokens$1.00

Output tokens$3.20

Best providerUnknown Organization

Qwen3-Coder

Input tokens$0.18

Output tokens$0.18

Best providerDeepinfra

Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

264.0B diff

GLM-5 has 264.0B more parameters than Qwen3-Coder, making it 55.0% larger.

GLM-5

744.0Bparameters

Qwen3-Coder

480.0Bparameters

744.0B

GLM-5

480.0B

Qwen3-Coder

Context Window

Maximum input and output token capacity

Qwen3-Coder accepts 256,000 input tokens compared to GLM-5's 200,000 tokens. Qwen3-Coder can generate longer responses up to 256,000 tokens, while GLM-5 is limited to 128,000 tokens.

GLM-5

Input200,000 tokens

Output128,000 tokens

Qwen3-Coder

Input256,000 tokens

Output256,000 tokens

Thu May 07 2026 • llm-stats.com

License

Usage and distribution terms

GLM-5 is licensed under MIT, while Qwen3-Coder uses Apache 2.0.

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

GLM-5

MIT

Open weights

Qwen3-Coder

Apache 2.0

Open weights

Release Timeline

When each model was launched

GLM-5 was released on 2026-02-11, while Qwen3-Coder was released on 2025-01-01.

GLM-5 is 14 months newer than Qwen3-Coder.

GLM-5

Feb 11, 2026

2 months ago

1.1yr newer

Qwen3-Coder

Jan 1, 2025

1.3 years 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 is available from ZAI. Qwen3-Coder is available from DeepInfra, Fireworks.

GLM-5

Unknown Organization

Input Price:Input: $1.00/1MOutput Price:Output: $3.20/1M

Qwen3-Coder

Deepinfra

Input Price:Input: $0.18/1MOutput Price:Output: $0.18/1M

Fireworks

Input Price:Input: $0.25/1MOutput Price:Output: $0.25/1M

* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

GLM-5

View details

Zhipu AI

No standout differentiators in the data we have for this pair.

Qwen3-Coder

View details

Alibaba Cloud / Qwen Team

Larger context window (256,000 tokens)

Less expensive input tokens

Less expensive output tokens

Detailed Comparison

AI Model Comparison Table
Feature	GLM-5	Qwen3-Coder

FAQ

Common questions about GLM-5 vs Qwen3-Coder.

Which is better, GLM-5 or Qwen3-Coder?

GLM-5 (Zhipu AI) and Qwen3-Coder (Alibaba Cloud / Qwen Team) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does GLM-5 compare to Qwen3-Coder 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%.

Is GLM-5 cheaper than Qwen3-Coder?

Qwen3-Coder is 5.6x cheaper for input tokens. GLM-5 costs $1.00/M input and $3.20/M output via z. Qwen3-Coder costs $0.18/M input and $0.18/M output via deepinfra.

What are the context window sizes for GLM-5 and Qwen3-Coder?

GLM-5 supports 200K tokens and Qwen3-Coder supports 256K 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-Coder?

Key differences include context window (200K vs 256K), input pricing ($1.00 vs $0.18/M), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-5 and Qwen3-Coder?

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