GLM 5.3
Z.ai (Zhipu AI)huggingface.co/zai-org/GLM-5.3
GLM-5.3 is a large-scale reasoning model from Z.ai, built for complex software engineering and long-horizon agent tasks. It supports text input and output with a 1M-token context window, and improves...
Updated 19 min ago · first seen 11 Sept 2026
model_01M294AJ5462DT6GQKJAGHX7FP
- Parameters
- 753.3B
- T2 · 21 min ago
- Context
- 1.31M tokens
- T2 · 23 min ago
- Released
- 18 Aug 2026
- T2 · 23 min ago
Specification
- Release date
- 18 Aug 2026
Source:OpenRouter public model & pricing listingT2observed 23 min agomedium
- Openness
- open-weights
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 21 min agomedium
- Parameters
- 753.3B
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 21 min agomedium
- Context window
- 1.31M tokens
Source:OpenRouter public model & pricing listingT2observed 23 min agomedium
- Max output
- 943.7K tokens
Source:OpenRouter public model & pricing listingT2observed 23 min agomedium
- Modalities
- text
Source:OpenRouter public model & pricing listingT2observed 23 min agomedium
- Input modalities
- text
Source:OpenRouter public model & pricing listingT2observed 23 min agomedium
- Output modalities
- text
Source:OpenRouter public model & pricing listingT2observed 23 min agomedium
- Hugging Face repo
- zai-org/GLM-5.3
Source:OpenRouter public model & pricing listingT2observed 23 min agomedium
- Pipeline tag
- text-generation
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 21 min agomedium
- Model card
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 21 min agomedium
- Downloads
- 597,626
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 19 min agomedium
- Likes
- 1,805
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 19 min agomedium
- Last modified
- 2026-09-04T06:41:23+00:00
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 21 min agomedium
- Openrouter id
- z-ai/glm-5.3
Source:OpenRouter public model & pricing listingT2observed 23 min agomedium
- Supported parameters
- frequency_penalty, include_reasoning, logit_bias, logprobs, max_tokens, min_p, parallel_tool_calls, presence_penalty, reasoning, reasoning_effort, repetition_penalty, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_k, top_logprobs, top_p
Source:OpenRouter public model & pricing listingT2observed 23 min agomedium
Each value shows its source, tier and observation time. Conflicting claims are kept side by side and flagged — never averaged. How AI Atlas records facts →
Provenance
Attributed facts
20
Source tiers
T220
Freshest observation
19 min ago
Conflicts
None
Modalities
- Modalities
- text
- Input
- text
- Output
- text
Capabilities
Tool calling
Yes
OpenRouter public model & pricing listing · T2
Structured output
Yes
OpenRouter public model & pricing listing · T2
Reasoning
Yes
OpenRouter public model & pricing listing · T2
Vision
Unavailable
Audio
Unavailable
Fine-tuning available
Unavailable
- Context window
- 1.31M tokens
Source:OpenRouter public model & pricing listingT2observed 23 min agomedium
- Max output
- 943.7K tokens
Source:OpenRouter public model & pricing listingT2observed 23 min agomedium
No benchmark results recorded
Current prices
| Provider | Input / 1M | Output / 1M | Cached in | Batch in / out | Context | Observed | Source |
|---|---|---|---|---|---|---|---|
| Z.ai APIz-ai/glm-5.3:batch | $0.70 | $2.2 | $0.13 | — | 1.05M | 23 min ago | openrouter.aiT2 |
| Fireworks AIfireworks/glm-5p3 | $1.4 | $4.4 | $0.26 | — | — | 33 min ago | app.fireworks.aiT1 |
| Z.ai APIz-ai/glm-5.3 | $1.4 | $4.4 | $0.26 | — | 1.05M | 23 min ago | openrouter.aiT2 |
USD per 1M tokens as published by each provider (USD). Rows are append-only: every change is kept in the history below.
Available through 2
Price history
Input price · USD / 1M tokens
Output price · USD / 1M tokens
- Fireworks AI
- Z.ai API
Memory need = bytes per parameter (4-bit ≈ 0.5 × 1.15 overhead, 8-bit 1.0, fp16 2.0) + a KV-cache allowance. Not a measurement.
| Hardware | Quantization | Memory | Est. need | Fits |
|---|---|---|---|---|
| Apple M3 Ultra | 4bit | — | 433.7 GB | Yes |
| AMD Instinct MI325X | 4bit | 256 GB | 433.7 GB | No |
| AMD Instinct MI300X | 4bit | 192 GB | 433.7 GB | No |
| Apple M2 Ultra | 4bit | — | 433.7 GB | No |
| NVIDIA B200 | 4bit | 180 GB | 433.7 GB | No |
| NVIDIA H200 | 4bit | 141 GB | 433.7 GB | No |
| Apple M1 Ultra | 4bit | — | 433.7 GB | No |
| Apple M3 Max | 4bit | — | 433.7 GB | No |
| Apple M4 Max | 4bit | — | 433.7 GB | No |
| NVIDIA DGX Spark | 4bit | 128 GB | 433.7 GB | No |
| Apple M2 Max | 4bit | — | 433.7 GB | No |
| NVIDIA A100 80GB | 4bit | 80 GB | 433.7 GB | No |
| NVIDIA H100 SXM | 4bit | 80 GB | 433.7 GB | No |
| Apple M1 Max | 4bit | — | 433.7 GB | No |
| Apple M4 Pro | 4bit | — | 433.7 GB | No |
| Apple M3 Pro | 4bit | — | 433.7 GB | No |
| Apple M1 Pro | 4bit | — | 433.7 GB | No |
| Apple M2 Pro | 4bit | — | 433.7 GB | No |
| Apple M4 | 4bit | — | 433.7 GB | No |
| NVIDIA GeForce RTX 5090 | 4bit | 32 GB | 433.7 GB | No |
| Apple M2 | 4bit | — | 433.7 GB | No |
| Apple M3 | 4bit | — | 433.7 GB | No |
| NVIDIA GeForce RTX 3090 | 4bit | 24 GB | 433.7 GB | No |
| NVIDIA GeForce RTX 4090 | 4bit | 24 GB | 433.7 GB | No |
| Apple M1 | 4bit | — | 433.7 GB | No |
Ancestors 0
None recorded.
Descendants 0
None recorded.
Papers 0
No papers linked yet.
Repositories 0
No repositories linked yet.
As of
Rewind the record: see this entity's attributes exactly as AI Atlas knew them on a given day.
Claim history · Supported parameters
Supported parameterssupported_parameters1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| frequency_penalty, include_reasoning, logit_bias, logprobs, max_tokens, min_p, parallel_tool_calls, presence_penalty, reasoning, reasoning_effort, repetition_penalty, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_k, top_logprobs, top_p | → current | current | OpenRouter public model & pricing listingT2 | medium | deterministic |
Claims are temporal and append-only: a new observation closes the previous claim (valid_to) instead of overwriting it. Conflicting claims from different sources are kept side by side and flagged — never averaged. Methodology →
Z.ai API lists GLM 5.3 at $0.7 in / $2.2 out per 1M tokens
openrouterZ.ai API lists GLM 5.3 at $1.4 in / $4.4 out per 1M tokens
openrouterFireworks AI lists GLM 5.3 at $1.4 in / $4.4 out per 1M tokens
fireworks_pricing
| Source | Document | Type | Tier | Last observed | Snapshots |
|---|---|---|---|---|---|
| Fireworks AI — pricing | docs.fireworks.ai/serverless/pricing.md | pricing | T1· Official | 28 min ago | 1 |
| Hugging Face Hub (public pages, model cards, papers) | huggingface.co/amd/GLM-5.3-Quark-MXFP4-AttnFP8 | model_page | T2· Quality secondary | 13 min ago | 2 |
| Hugging Face Hub (public pages, model cards, papers) | huggingface.co/models?author=zai-org&p=0&sort=downloads | listing | T2· Quality secondary | 19 min ago | 2 |
| OpenRouter public model & pricing listing | openrouter.ai/api/v1/models | catalogue | T2· Quality secondary | 23 min ago | 1 |
Tier 1 = official/primary, 2 = quality secondary, 3 = community, 4 = unverified. Every snapshot is archived; see all sources and the methodology.