GLM 5.3 Flash
Z.ai · released Aug 26, 2026
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...
Specification
- Context window
- 1.05M
- Max output
- 944K
- Knowledge cutoff
- Not stated
- Parameters
- 321.3B
- Licence
- mit
- Serving providers
- 29
- Moderated
- No
- Uptime
- 100.0%
Intelligence
41.8
92th percentile
Coding
71.5
Coding Index
Agentic
50.9
Agentic Index
Output speed
141 t/s
Median across providers
Latency
320ms
Time to first token
Cost per task
$0.05
Estimated
Benchmarks
Where the score comes from
The Intelligence Index is a composite. These are the underlying evaluations this model was actually measured on.
Evaluation scores
Percentage correct · higher is better
- GPQA Diamond91.2%
- AA-LCR (long context)80.0%
- SciCode51.6%
- τ²-bench (Telecom)47.2%
- Humanity's Last Exam39.9%
An evaluation missing from this list was not run for this model — it is not a zero.
View as table
| Evaluation | Score |
|---|---|
| GPQA Diamond | 91.2% |
| AA-LCR (long context) | 80.0% |
| SciCode | 51.6% |
| τ²-bench (Telecom) | 47.2% |
| Humanity's Last Exam | 39.9% |
Against its peers
Intelligence Index · this model highlighted, nearest peers in grey
- GPT-5.6 TerraOpenAI42.1
- GLM 5.3 FlashZ.ai41.8
- Claude Opus 4.8Anthropic41.8
- Nex-N2-ProNex AGI41.7
- Ling 3.1 FlashInclusionAI41.1
- 41.1
- Gemini 3.8 FlashGoogle40.9
- Claude Opus 4.7Anthropic40.7
Peers are the models sitting closest on the Intelligence Index — the set you would realistically choose between.
View as table
| Model | Intelligence |
|---|---|
| GPT-5.6 Terra | 42.1 |
| GLM 5.3 Flash | 41.8 |
| Claude Opus 4.8 | 41.8 |
| Nex-N2-Pro | 41.7 |
| Ling 3.1 Flash | 41.1 |
| Qwen3.6 Max Preview | 41.1 |
| Gemini 3.8 Flash | 40.9 |
| Claude Opus 4.7 | 40.7 |
Percentile among all indexed models
Pricing
What it costs to run
List prices per million tokens, plus what one representative task works out to.
List price
- Input / 1M tokens
- $0.15
- Output / 1M tokens
- $0.5
- Cached input / 1M
- $0.03
- Blended 3:1
- $0.237
One task, estimated
$0.05
- Input tokens
- 50,000
- Output tokens
- 80,000
- Profile
- Reasoning
Estimated from list pricing: 50K input tokens plus 80K output tokens for reasoning models (25K for non-reasoning).
Serving providers
- OpenInference
- Relace
- StreamLake
- Sail Research
- Reka
- Morph
- DeepInfra
- Near AI
- InferenceNet
- Novita
- GMICloud
- Decart
- Inceptron
- Phala
- Wafer
- DigitalOcean
- Makora
- Modal
- BaseTen
- Crusoe
- CoreWeave
- AtlasCloud
- Fireworks
- Friendli
- SiliconFlow
- Together
- Parasail
- Venice
- Z.AI
Speed and latency figures are medians across these providers, so a widely-served model reports a blend rather than any single endpoint.