Fireworks AI model
GLM-5.3
GLM-5.3 uses the same base model as GLM-5.2 — every gain comes from post-training. Compared with GLM-5.2, it is much better at complex coding and long-horizon tasks
- Provider
- Fireworks AI
- Availability
- Available
- Model ID
- glm-5p3
- Snapshot
- 2026-10-07
GLM-5.3 Benchmarks & Agentic Accuracy
Verified primary research & developer preference metrics
What This Means in Real Software Development
- 56.4% on SWE-bench Verified, matching leading proprietary coding models.
- Large-scale Mixture-of-Experts architecture with low active parameters for high inference speed (70 TPS).
- 75.0% on AIME confirms strong mathematical deduction and algorithmic reasoning.
- Available on Fireworks AI and OpenRouter with enterprise SLA.
Swarm Multi-Agent Topology
Best Paired With: Gemini 3.8 Flash or Claude 3.7 Sonnet
High code synthesis accuracy and affordable token costs make it an effective Coder subagent.
Executes isolated bug fixes and code refactors in dedicated Git worktrees.
What Developers & Practitioners Are Saying
Real-world field observations, production strengths, and developer consensus
"Zhipu AI's flagship bilingual model. Highly proficient in both English and Chinese codebases with strong API integration."
Verified Real-World Strengths
- 56.4% SWE-bench Verified
- Excellent cross-lingual documentation and code commentary
- Competitive token economics
Production Caveats & Gaps
- Occasionally defaults to Chinese comments unless English is explicitly enforced
Primary Sources & Methodology Citations
- GLM-5.3 Technical Architecture — Zhipu AI (February 2026)
Head-to-Head Frontier Comparisons: GLM-5.3 vs Rivals
Standardized, side-by-side benchmark & economics comparison against peer models
| Model | Role / Tier | SWE-bench | LiveCodeBench | LMSYS Elo | AIME | Input / Output |
|---|---|---|---|---|---|---|
GLM-5.3Fireworks AICurrent | Tier 2: High-Performance Open MoE | 56.4% | 51% | 1350 | 75% | $0.35 / $1.05 |
DeepSeek R1DeepSeek Compare GLM-5.3 vs DeepSeek R1 → | Tier 2: Deep Algorithmic Specialist | 49.2% | 49.8% | 1360 | 79.8% | $0.55 / $2.19 |
OpenAI GPT-6 LunaOpenAI Compare GLM-5.3 vs OpenAI GPT-6 Luna → | Tier 2: Extreme Efficiency Subagent | 64.5% | 56.8% | 1358 | — | $0.12 / $0.48 |
Qwen 3.8 27BQwen Compare GLM-5.3 vs Qwen 3.8 27B → | Tier 2: Open-Weights Specialist | 62% | 54.5% | 1342 | — | $0.2 / $0.8 |
GLM 5.3 FlashZhipu AI Compare GLM-5.3 vs GLM 5.3 Flash → | Tier 2: High-Speed Coder Subagent | 66.8% | 58.5% | 1365 | — | $0.3 / $1.2 |
GLM-5.3 model overview
GLM-5.3 is listed in the public Swarm catalog through Fireworks AI. This page summarizes the verified catalog fields used by Swarm without claiming real-time access for every provider account.
- Provider
- Fireworks AI
- Family
- Glm
- Context window
- 1.05M tokens
- Thinking support
- low · high · xhigh
- Availability status
- Available
- Catalog ID
- fireworks/glm-5p3
Run GLM-5.3 in Swarm
Verified CLI workflow & multi-agent architecture
swarm ctl model set --provider fireworks --model fireworks/glm-5p3# Or switch interactively inside the terminal TUI:
/modelsSubagent Role Matrix
Assign GLM-5.3 to specialized system roles in ~/.swarm/config.json:
- Primary / Planner: Orchestrates full task DAGs and multi-stage pipelines.
- Coder Subagent: Generates code and unit tests inside private Git worktrees.
- Finder Subagent: Performs read-only code search, symbol discovery, and mapping.
Public catalog snapshot. Catalog availability is not a real-time provider status or an access guarantee.