GLM-4.7-Flash vs Qwen3-Coder Comparison

Comparing GLM-4.7-Flash and Qwen3-Coder across benchmarks, pricing, and capabilities.

Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GLM-4.7-Flash 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

GLM-4.7-Flash costs less

For input processing, GLM-4.7-Flash ($0.07/1M tokens) is 2.6x cheaper than Qwen3-Coder ($0.18/1M tokens).

For output processing, GLM-4.7-Flash ($0.40/1M tokens) is 2.2x more expensive than Qwen3-Coder ($0.18/1M tokens).

In conclusion, Qwen3-Coder is more expensive than GLM-4.7-Flash.*

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

Lowest available price from all providers

Sat Mar 14 2026 • llm-stats.com

GLM-4.7-Flash

Input tokens$0.07

Output tokens$0.40

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

450.0B diff

Qwen3-Coder has 450.0B more parameters than GLM-4.7-Flash, making it 1500.0% larger.

GLM-4.7-Flash

30.0Bparameters

Qwen3-Coder

480.0Bparameters

30.0B

GLM-4.7-Flash

480.0B

Qwen3-Coder

Context Window

Maximum input and output token capacity

Qwen3-Coder accepts 256,000 input tokens compared to GLM-4.7-Flash's 128,000 tokens. Qwen3-Coder can generate longer responses up to 256,000 tokens, while GLM-4.7-Flash is limited to 16,384 tokens.

GLM-4.7-Flash

Input128,000 tokens

Output16,384 tokens

Qwen3-Coder

Input256,000 tokens

Output256,000 tokens

Sat Mar 14 2026 • llm-stats.com

License

Usage and distribution terms

GLM-4.7-Flash 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-4.7-Flash

MIT

Open weights

Qwen3-Coder

Apache 2.0

Open weights

Release Timeline

When each model was launched

GLM-4.7-Flash was released on 2026-01-19, while Qwen3-Coder was released on 2025-01-01.

GLM-4.7-Flash is 13 months newer than Qwen3-Coder.

GLM-4.7-Flash

Jan 19, 2026

1 months ago

1.0yr newer

Qwen3-Coder

Jan 1, 2025

1.2 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-4.7-Flash is available from ZAI. Qwen3-Coder is available from DeepInfra, Fireworks. The availability of providers can affect quality of the model and reliability.