GLM 5.3 Flash benchmarks
GLM 5.3 Flash has 3 published scores in this dataset, from a Zhipu AI (Z.ai) release dated 2026-08-26. It does not yet have scores in enough categories to receive a composite index. Its strongest area is coding (index 93.0) and its weakest is agentic (index 79.0). Its best placing is on LMArena Text Elo, where its 1477 ranks 10th of 21 models with a published score.
OpenLLM Buddy runs GLM-5.3-Flash-Uncensored-FP8, an uncensored fine-tune of GLM 5.3 Flash, on 4× H200 141GB (564 GB VRAM). The scores below are the official base model's; a fine-tune can score slightly differently.
Category profile
Index 0–100: each score relative to the best published score on that test.
Model facts
- Lab
- Zhipu AI (Z.ai)
- Type
- OpenLLM Buddy catalog
- Released
- 2026-08-26
- Parameters
- 320B total, 18B active (MoE)
- Context
- 1M
- License
- MIT
- Runs on
- 4× H200 141GB
GLM 5.3 Flash hardware requirements and cost
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)).
| Precision | Weights | With headroom | Smallest setup |
|---|---|---|---|
| BF16 (full precision) | 640 GB | 736 GB | 8× H200 (1,128 GB) |
| FP8 / 8-bit | 320 GB | 368 GB | 4× H200 (564 GB) |
| 4-bit (GGUF Q4_K_M) | 192 GB | 221 GB | 4× H100 (320 GB) |
Estimate: parameters × bytes per parameter, plus 15% for the KV cache and runtime at modest context lengths. Long contexts and large batches need more.
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.
- 11 hours: $280 USD
- 24 hours: $611 USD
- 1 week: $4271 USD
- 1 month: $17082 USD
Lighter or stronger open models
Open models ranked just above and below on the composite index, with their 4-bit memory needs.
- Nemotron 3 Ultra74.4379 GB
- Gemma 4 26B A4B72.917 GB
- gpt-oss-120b57.381 GB
GLM 5.3 Flash speed and pricing
Measured figures link to their source; estimates are labelled.
- API output speed
- 75 tok/sArtificial Analysis median · Artificial Analysis
- Time to first token
- 0.68 sOpenRouter model page provider stats
- API price per 1M tokens
- $0.150 in · $0.500 outlab list price · Z.ai pricing docs
- OpenLLM Buddy GPU rental
- from $25.42 per hourflat rate, no per-token fees
Score by test
Rank is among every model with a published score on that test.
Nearby in the composite ranking
Models with the closest composite index.
Head-to-head comparisons
Side-by-side pages built from the tests both models report.
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 Flash | Terminal-Bench | 84.3 | Terminal-Bench 2.1 (Z.ai vendor-reported) | DataNorth news (quoting Z.ai official results) |
| 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 |
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