GLM 5.3 Flash
glm-5.3-flashGLM-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... Built by Z.ai.
Prices updated
Input price
$0.04
per 1M tokens · Standard
Output price
$0.14
per 1M tokens · Standard
Input limit
1M
tokens
Output limit
944K
tokens
Input formats
Output formats
GLM 5.3 Flash price history
2 price records since 9/25/2026
GLM 5.3 Flash cost calculator
$1.60/month
Standard pricing
Overview
What is GLM 5.3 Flash?
GLM 5.3 Flash is a text & reasoning and vision model from Z.ai. 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... Its 1M context window and $0.04 input price make it a candidate for cost-sensitive, high-throughput applications.
Benchmarks
GLM 5.3 Flash benchmarks & speed
How GLM 5.3 Flash scores on standardized evaluations, and where it lands among every model we track.
41.8
Intelligence Index
51tok/s
Output speed
Reasoning
GPQA Diamond
91.2%
Graduate-level scientific reasoning · top 18%
HLE
39.9%
Humanity's Last Exam · top 21%
Coding
SciCode
51.6%
Python for scientific computing · top 42%
Latency & design
- Time to first token
- 3.31s
Independent scores from Artificial Analysis and DesignArena · updated 10/5/2026. Higher is better; ranks compare against every model we track with that score.
Rates
GLM 5.3 Flash pricing
Pricing is based on token usage. Provider-specific caching, batch, regional, and tool charges may affect the final cost.
Input · Standard
$0.04
Per 1M tokens
Cached input · Standard
$0.03
Per 1M tokens
Capabilities
GLM 5.3 Flash Tools
Tools available when using GLM 5.3 Flash through supported provider APIs.
Function calling
Supported
Structured outputs
Supported
JSON mode
Supported
Reasoning
Supported
Built-in web search
Not supported
Log probabilities
Supported
Deterministic seed
Supported
Parallel tool calls
Supported
Prompt caching
Supported
Where to run it
GLM 5.3 Flash API providers
25 providers serve GLM 5.3 Flash. Prices are per 1M tokens; uptime is the last 24 hours.
| Provider | Input | Output | Cached | Context | Uptime |
|---|---|---|---|---|---|
| InferenceNetfp4 | $0.04 | $0.14 | $0.01 | 1M | 99.33% |
| Relace | $0.04 | $0.50 | $0.01 | 1M | 99.85% |
| Sail Researchfp8 | $0.04 | $0.60 | $0.03 | 1M | 99.59% |
| Sail Researchfp8 | $0.04 | $0.60 | $0.03 | 1M | 99.79% |
| OpenInferencefp4 | $0.05 | $0.50 | $0.01 | 1M | 99.9% |
| DeepInfrafp4 | $0.07 | $0.25 | $0.01 | 1M | 99.78% |
| GMICloudfp8 | $0.09 | $0.30 | $0.02 | 1M | 99.38% |
| Inceptronfp8 | $0.11 | $0.45 | $0.07 | 1M | 99.3% |
| Decartfp4 | $0.13 | $0.42 | $0.03 | 1M | 98.7% |
| Phalafp8 | $0.13 | $0.42 | $0.03 | 1M | 98.01% |
| Novitafp8 | $0.13 | $0.44 | $0.03 | 1M | 99.73% |
| StreamLakefp8 | $0.14 | $0.47 | $0.03 | 1M | 99.42% |
| Modalnvfp4 | $0.15 | $0.50 | $0.03 | 1M | 99.69% |
| BaseTenfp8 | $0.15 | $0.50 | $0.03 | 1M | 99.15% |
| Near AIfp8 | $0.15 | $0.50 | $0.04 | 1M | 99.5% |
| Crusoefp4 | $0.15 | $0.50 | $0.03 | 1M | 99.43% |
| CoreWeavenvfp4 | $0.15 | $0.50 | $0.05 | 1M | 98.5% |
| AtlasCloudfp8 | $0.15 | $0.50 | $0.03 | 1M | 99.53% |
| Fireworks | $0.15 | $0.50 | $0.03 | 1M | 98.98% |
| Friendli | $0.15 | $0.50 | $0.03 | 1M | 99.52% |
| SiliconFlowfp8 | $0.15 | $0.50 | $0.03 | 1M | 99.75% |
| DigitalOcean | $0.15 | $0.50 | $0.03 | 1M | 99.13% |
| Wafer | $0.15 | $0.50 | $0.03 | 1M | 99.77% |
| Together | $0.15 | $0.50 | $0.03 | 1M | 99.9% |
| Reka | $0.15 | $0.50 | $0.03 | 262K | 99.5% |
- Input
- $0.04
- Output
- $0.14
- Cached
- $0.01
- Context
- 1M
- Uptime
- 99.33%
- Input
- $0.04
- Output
- $0.50
- Cached
- $0.01
- Context
- 1M
- Uptime
- 99.85%
- Input
- $0.04
- Output
- $0.60
- Cached
- $0.03
- Context
- 1M
- Uptime
- 99.59%
- Input
- $0.04
- Output
- $0.60
- Cached
- $0.03
- Context
- 1M
- Uptime
- 99.79%
- Input
- $0.05
- Output
- $0.50
- Cached
- $0.01
- Context
- 1M
- Uptime
- 99.9%
- Input
- $0.07
- Output
- $0.25
- Cached
- $0.01
- Context
- 1M
- Uptime
- 99.78%
- Input
- $0.09
- Output
- $0.30
- Cached
- $0.02
- Context
- 1M
- Uptime
- 99.38%
- Input
- $0.11
- Output
- $0.45
- Cached
- $0.07
- Context
- 1M
- Uptime
- 99.3%
- Input
- $0.13
- Output
- $0.42
- Cached
- $0.03
- Context
- 1M
- Uptime
- 98.7%
- Input
- $0.13
- Output
- $0.42
- Cached
- $0.03
- Context
- 1M
- Uptime
- 98.01%
- Input
- $0.13
- Output
- $0.44
- Cached
- $0.03
- Context
- 1M
- Uptime
- 99.73%
- Input
- $0.14
- Output
- $0.47
- Cached
- $0.03
- Context
- 1M
- Uptime
- 99.42%
- Input
- $0.15
- Output
- $0.50
- Cached
- $0.03
- Context
- 1M
- Uptime
- 99.69%
- Input
- $0.15
- Output
- $0.50
- Cached
- $0.03
- Context
- 1M
- Uptime
- 99.15%
- Input
- $0.15
- Output
- $0.50
- Cached
- $0.04
- Context
- 1M
- Uptime
- 99.5%
- Input
- $0.15
- Output
- $0.50
- Cached
- $0.03
- Context
- 1M
- Uptime
- 99.43%
- Input
- $0.15
- Output
- $0.50
- Cached
- $0.05
- Context
- 1M
- Uptime
- 98.5%
- Input
- $0.15
- Output
- $0.50
- Cached
- $0.03
- Context
- 1M
- Uptime
- 99.53%
- Input
- $0.15
- Output
- $0.50
- Cached
- $0.03
- Context
- 1M
- Uptime
- 98.98%
- Input
- $0.15
- Output
- $0.50
- Cached
- $0.03
- Context
- 1M
- Uptime
- 99.52%
- Input
- $0.15
- Output
- $0.50
- Cached
- $0.03
- Context
- 1M
- Uptime
- 99.75%
- Input
- $0.15
- Output
- $0.50
- Cached
- $0.03
- Context
- 1M
- Uptime
- 99.13%
- Input
- $0.15
- Output
- $0.50
- Cached
- $0.03
- Context
- 1M
- Uptime
- 99.77%
- Input
- $0.15
- Output
- $0.50
- Cached
- $0.03
- Context
- 1M
- Uptime
- 99.9%
- Input
- $0.15
- Output
- $0.50
- Cached
- $0.03
- Context
- 262K
- Uptime
- 99.5%
6 of 25
Strengths and limitations
Strengths
- Low input cost at $0.04 per million tokens suits high-volume workloads.
- 1M context supports large documents, repositories and extended conversations.
- Supports text & reasoning and vision workloads in one model.
Limitations
- Generated tokens cost 3× more than input tokens, which matters for verbose responses.
- Large context capacity does not guarantee consistent retrieval across the entire prompt.
- Arena Elo and MMLU-Pro are directional; test accuracy, latency and reliability on your own workload before committing.
Arena Elo, MMLU-Pro and pricing figures are illustrative; validate current vendor terms before purchase.
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