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GLM-5 vs Qwen2.5-Coder 7B Instruct

GLM-5 leads the LLM Stats Score 37.1 to -3.0.

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

Which is better?

GLM-5 leads the overall LLM Stats Score 37.1 to -3.0, ranking #66 overall.

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

Choose GLM-5

  • overall performance matters — it scores 37.1 and ranks #66 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you want the most recent training data — it shipped Feb 2026

Choose Qwen2.5-Coder 7B Instruct

  • you are already invested in the Alibaba Cloud / Qwen Team ecosystem

At a glance

The differences that matter most.

GLM-5
Zhipu AI
Qwen2.5-Coder 7B Instruct
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
37.1
#66
-3.0
#331
Reasoning
37.3
#63
-3.0
#322
Coding
26.1
#62
6.6
#181
Cost, coverage & limits
Benchmark wins
—
—
Input price
$1.00 / M
— / M
Output price
$3.20 / M
— / M
Context window
200,000
—

Individual benchmarks

5 reported for GLM-5 · 19 for Qwen2.5-Coder 7B Instruct

No common benchmarks found

GLM-5 and Qwen2.5-Coder 7B Instructdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

737.0B diff

GLM-5 has 737.0B more parameters than Qwen2.5-Coder 7B Instruct, making it 10528.6% larger.

Zhipu AI
GLM-5
744.0Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5-Coder 7B Instruct
7.0Bparameters
744.0B
GLM-5
7.0B
Qwen2.5-Coder 7B Instruct

Context Window

Maximum input and output token capacity

Only GLM-5 specifies input context (200,000 tokens). Only GLM-5 specifies output context (128,000 tokens).

Zhipu AI
GLM-5
Input200,000 tokens
Output128,000 tokens
Alibaba Cloud / Qwen Team
Qwen2.5-Coder 7B Instruct
Input- tokens
Output- tokens
Sun Sep 06 2026 • llm-stats.com

License

Usage and distribution terms

GLM-5 is licensed under MIT, while Qwen2.5-Coder 7B Instruct 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

Qwen2.5-Coder 7B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

GLM-5 was released on 2026-02-11, while Qwen2.5-Coder 7B Instruct was released on 2024-09-19.

GLM-5 is 17 months newer than Qwen2.5-Coder 7B Instruct.

GLM-5

Feb 11, 2026

6 months ago

1.4yr newer
Qwen2.5-Coder 7B Instruct

Sep 19, 2024

2.0 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

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against GLM-5 and Qwen2.5-Coder 7B Instruct side-by-side, then vote on the output you prefer.

GLM-5
✓ Preferred
Qwen2.5-Coder 7B Instruct
Open in Playground

FAQ

Common questions about GLM-5 vs Qwen2.5-Coder 7B Instruct.

Which is better, GLM-5 or Qwen2.5-Coder 7B Instruct?

GLM-5 leads the LLM Stats Score 37.1 to -3.0. GLM-5 is made by Zhipu AI and Qwen2.5-Coder 7B Instruct 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 compare to Qwen2.5-Coder 7B Instruct 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%. Qwen2.5-Coder 7B Instruct scores HumanEval: 88.4%, GSM8k: 83.9%, MBPP: 83.5%, HellaSwag: 76.8%, Winogrande: 72.9%.

What are the context window sizes for GLM-5 and Qwen2.5-Coder 7B Instruct?

GLM-5 supports 200K tokens and Qwen2.5-Coder 7B Instruct supports an unknown number of 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 Qwen2.5-Coder 7B Instruct?

Key differences include LLM Stats Score (37.1 vs -3.0), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-5 and Qwen2.5-Coder 7B Instruct?

GLM-5 is developed by Zhipu AI and Qwen2.5-Coder 7B Instruct is developed by Alibaba Cloud / Qwen Team.

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