GLM 5.3 Flash vs GLM 5.3
GLM 5.3 scores higher on 2 of the 2 benchmarks both models publish. The widest gap is on Humanity's Last Exam (with tools), where GLM 5.3 leads by 7.2 points. Both have open weights; GLM 5.3 Flash is far lighter to host, needing about 221 GB at 4-bit against 520 GB for GLM 5.3.
GLM 5.3 FlashZhipu AI (Z.ai) · OpenLLM Buddy catalog—compositeGLM 5.3Z.ai (Zhipu) · Open weights82.7compositeShared benchmarks
Raw published scores; the higher score on each row is highlighted. LMArena Elo is a human-preference vote and is not counted as a win.
- Humanity's Last Exam (with tools)55.362.5
with tools (page attributes to HF official evaluation section)with tools
- Terminal-Bench84.388.2
Terminal-Bench 2.1 (Z.ai vendor-reported)Terminal-Bench 2.1
- LMArena Text Elo · not counted14771481
LMArena text overall, 'GLM-5.3-Flash', ±5, as of 2026-10-27GLM-5.3 (Max), ±5, board dated 2026-10-27
Should you pick GLM 5.3 Flash or GLM 5.3?
Pick GLM 5.3 Flash if…
- You want the lighter model to host: about 221 GB at 4-bit against 520 GB.
- Cost matters: $0.500 per million output tokens against $4.40.
- You want it running in minutes on a dedicated GPU through OpenLLM Buddy, in an uncensored build.
Pick GLM 5.3 if…
- You care most about Humanity's Last Exam (with tools), Terminal-Bench, where it scores at least 2 points higher.
Hardware and cost to run
GLM 5.3 Flash
Even at 4-bit it needs about 221 GB (4× H100 (320 GB)), well beyond a home workstation, so most people run it on rented multi-GPU servers. Full BF16 precision needs about 736 GB (8× H200 (1,128 GB)).
On OpenLLM Buddy: GLM-5.3-Flash-Uncensored-FP8 runs on 4× H200 141GB as an FP8 build, with an OpenAI-compatible API and no per-token fees. Prices start at $280 USD for 11 hours.
Deploy GLM 5.3 FlashGLM 5.3
Even at 4-bit it needs about 520 GB (4× H200 (564 GB)), well beyond a home workstation, so most people run it on rented multi-GPU servers. Full BF16 precision needs about 1.7 TB (Multiple nodes (over 1.1 TB)).
Category profile
Category index uses every test each model reports, not only the shared ones.
Specs side by side
| GLM 5.3 Flash | GLM 5.3 | |
|---|---|---|
| Lab | Zhipu AI (Z.ai) | Z.ai (Zhipu) |
| Weights | Open | Open |
| Released | 2026-08-26 | 2026-08-14 |
| Parameters | 320B total, 18B active (MoE) | 753B total, 40B active (MoE) |
| Context | 1M | 1M |
| License | MIT | GLM-5.3 License (custom; arena.ai lists MIT) |
| 4-bit memory | 221 GB · 4× H100 (320 GB) | 520 GB · 4× H200 (564 GB) |
| API price | $0.150 in / $0.500 out per 1M tokens | $1.40 in / $4.40 out per 1M tokens |
| API speed | 75 tok/s | 88 tok/s |
Related comparisons
Sources
| Model | Test | Score | Setting | Source |
|---|---|---|---|---|
| GLM 5.3 Flash | Humanity's Last Exam (with tools) | 55.3 | with tools (page attributes to HF official evaluation section) | CometAPI GLM-5.3-Flash spec page (secondary) |
| GLM 5.3 | Humanity's Last Exam (with tools) | 62.5 | with tools | Hugging Face model card (GLM-5.3) |
| GLM 5.3 Flash | Terminal-Bench | 84.3 | Terminal-Bench 2.1 (Z.ai vendor-reported) | DataNorth news (quoting Z.ai official results) |
| GLM 5.3 | Terminal-Bench | 88.2 | Terminal-Bench 2.1 | Hugging Face model card (GLM-5.3) |
| GLM 5.3 Flash | LMArena Text Elo | 1477 | LMArena text overall, 'GLM-5.3-Flash', ±5, as of 2026-10-27 | Arena (LMArena) text leaderboard |
| GLM 5.3 | LMArena Text Elo | 1481 | GLM-5.3 (Max), ±5, board dated 2026-10-27 | LMArena (arena.ai) text leaderboard |
Scores are published results from model cards, lab reports, and public leaderboards, each linked to its source. Settings such as thinking mode or test version differ between sources and are shown next to each score. OpenLLM Buddy catalog models are uncensored fine-tunes; their scores are those of the official base model. Data collected 2026-10-30. How the index works