GLM-5.3-Flash
z-ai
Cross-checked
DeepSeek V4 Flash 0731 = 100. The index reflects two shared tests, not capability multiples or statistically established gaps. Results reflect particular model configurations. Agent harnesses, reasoning effort, tools, budgets and tasks may differ. Close indices do not establish superiority. B describes a relative position in this selected group, not an inability to code.
Capabilities & Recommended Uses
Strengths
- •Native multimodal input
- •Long-context coding and agent tasks
Best For
- •Coding assistance
- •Long-context analysis
Weaknesses
—
Benchmark evidence and ranking method · GLM-5.3-Flash
Cross-checked
Artificial Analysis · GLM-5.3-Flash
Test configuration: max
Terminal-Bench 2.1: 84.27% · SciCode: 51.62%
LiveBench · 2026-06-25 · glm-5.3-flash
Coding: 78.95% · Agentic Coding: 56.77%
ModelRank assigns editorial tiers using public coding evidence, not automatic index thresholds or statistically proven classes. Price, speed, context size and sponsorship do not affect tiers.
DeepSeek V4 Flash 0731 = 100. The index reflects two shared tests, not capability multiples or statistically established gaps.
Results reflect particular model configurations. Agent harnesses, reasoning effort, tools, budgets and tasks may differ. Close indices do not establish superiority. B describes a relative position in this selected group, not an inability to code.
Data checked: 2026-09-10. Snapshot date is the retrieval date, not necessarily the evaluation date.
Compare with Alternatives
Related Analysis & Reviews
Claude Fable 5.1 for Coding: When Is the S+ Model Worth Paying For?
Why is Fable 5.1 in S+? Check its coding evidence and API quote, then calculate how much human repair time it would need to save to justify the cost.
GLM-5.3-Flash vs DeepSeek V4 Flash vs Qwen: Which for Coding?
Compare GLM-5.3-Flash, DeepSeek V4 Flash 0731 and Qwen3.8-Flash-Next for coding. See task-specific evidence, API cost examples and a practical trial order.
GLM-5.3-Flash vs DeepSeek V4 Flash 0731: Should You Switch?
Compare GLM-5.3-Flash with DeepSeek V4 Flash 0731 on coding evidence, peak and off-peak API costs, caching and the work required to switch models.
Frequently Asked Questions
What is GLM-5.3-Flash's coding score and ranking tier?
GLM-5.3-Flash by z-ai is rated as Tier A on ModelRank with a coding score of 104.81 (Reference baseline = 100) as a reference index derived from public benchmark evidence. Tiers are editorial assessments; the index does not establish real-world capability differences.
What is the API pricing and context window for GLM-5.3-Flash?
GLM-5.3-Flash features a 1,048,576 token context window. Pricing is $0.15 per 1M input tokens and $0.5 per 1M output tokens (OpenRouter quote).
What programming tasks is GLM-5.3-Flash best suited for?
GLM-5.3-Flash is recommended for: Coding assistance, Long-context analysis. Key strengths include: Native multimodal input, Long-context coding and agent tasks.
Try GLM-5.3-Flash
Last updated: October 11, 2026