GLM-5.3-Flash is a native multimodal model from Z.ai. It is suited for efficient coding and long-horizon agent tasks. Its hybrid sparse and linear attention architecture maintains accurate long-context behavior while...
Tested on 20 benchmarks · BenchGecko score 48.9. Top scores: Chatbot Arena Elo — Coding (1615.6%), Chatbot Arena Elo — Overall (1473.0%), OTIS Mock AIME 2024-2025 (93.9%).
Phi 4 scores 49.0 (100% as good) at $0.07/1M input · 53% cheaper
Mock AIME (American Invitational Mathematics Exam) problems from OTIS. Tests mathematical competition performance.
Graduate-level science questions written by PhD experts. Diamond subset contains questions where experts disagree, testing deep understanding.
Tactical chess puzzles testing pattern recognition and multi-move calculation. Measures strategic reasoning ability.
- Typemultimodal
- Context1.0M tokens (~524 books)
- ReleasedAug 2026
- LicenseProprietary
- StatusActive
- Cost / Message~$0.001
Frequently Asked Questions
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Phi 4 · MicrosoftGPT-5 Pro · OpenAIQwen3 Max · Alibaba QwenQwen3 Next 80B A3B Instruct · Alibaba QwenClaude 3.7 Sonnet · AnthropicKey facts · as of 2026-10-05
- GLM 5.3 Flash by z-ai. BenchGecko score 48.9, rank 152 of 312 scored models (normalized average of public benchmark scores).
- List price $0.15 input · $0.50 output per 1M tokens (as of 2026-10-05).
- Sold by 32 providers (as of 2026-10-05): Relace $0.0352 in / $0.50 out · InferenceNet (fp4) $0.0440 in / $0.60 out · Sail Research (fp4) $0.0450 in / $0.60 out · OpenInference (fp4) $0.0458 in / $0.65 out · Wafer $0.0500 in / $0.50 out · and 27 more. Every provider
- Gecko Tests · Gecko Score 39 (rank 9): Who Are You B (Knows who made it) · World Map D (89.7% of the map right) · Tokenizer Tax D (70% more tokens outside English).
How to cite · data as of 2026-10-05
GLM 5.3 Flash · benchmarks, pricing and providers. BenchGecko, data as of 2026-10-05. https://benchgecko.ai/model/glm-5-3-flash
Credit "Source: BenchGecko" with a link. Prices per provider and Gecko Tests are BenchGecko data (CC BY 4.0); benchmark scores keep their original source, listed in the JSON. JSON · llms.txt · MCP