GLM 5.3 Flash Cybersecurity
nano-gpt/glm-5-3-flash-cybersecurityPor nano-gpt · família: glm · lançado 2026-09-19
⚠ Este é um fine-tune da comunidade ou derivado — não um lançamento oficial do fornecedor.
Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.
Capacidades
Model fit scores
0–100 · higher is betterThese scores reward declared capabilities, context size, price and provider availability — they are not benchmark results. Use them as a directional signal alongside your own evaluation.
Coding71
- Tool calling40/40
- Structured output0/20
- Reasoning10/10
- Context window (100K → 1M)20/20
- Provider availability1/10
Agents66
- Tool calling35/35
- Structured output0/25
- Reasoning15/15
- Output token limit15/15
- Provider availability1/10
JSON / structured output39
- Structured output / JSON mode0/50
- Tool calling20/20
- Temperature control0/10
- Price-friendly for high-volume19/20
Cost efficiency72
- Headline price (log-scaled)67/95
- Has prompt-cache pricing5/5
Long context91
- Context window (100K → 2M)81/90
- Has published price for full window10/10
Vision91
- Accepts image input50/50
- Context window (10K → 1M)30/30
- Has published price10/10
- Provider availability1/10
Production-readiness50
- Number of independent providers5/40
- Has published per-token price20/20
- Context window ≥ 8K15/15
- No data inconsistencies across providers10/10
- Official model (not derivative)0/15
Cost Efficiency Index
Open full calculator →Estimated cost using the recommended provider's headline rate. Each scenario fixes average input/output tokens — the assumptions are shown in the third column.
| Scenario | Cost | Assumption |
|---|---|---|
RAG answer per 1,000 RAG answers | $1.00 < $0.01 per request | 5K input tokens (query + 4 retrieved chunks of ~1K each) and a 500-token answer. Typical SaaS knowledge-base bot. |
Support ticket triage per 10,000 tickets | $2.00 < $0.01 per request | 1K input tokens (ticket body + system prompt) and a 100-token JSON classification reply. High-volume customer support. |
Data extraction per 1,000 documents | $0.55 < $0.01 per request | 2K input tokens (a single document page) and a 500-token JSON extraction. ETL / invoice / form pipelines. |
Code review per 1,000 PRs | $1.70 < $0.01 per request | 8K input tokens (diff + surrounding files) and a 1K-token review comment. PR-bot workloads. |
Agent step per 1,000 steps | $2.10 < $0.01 per request | 12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step. |
Detalhes de preço
Preço recomendado de nano-gpt · z-ai/glm-5.3-flash-cybersecurity
Disponível em 1 provedores
| Provedor | ID do modelo do provedor | Entrada / 1M | Saída / 1M | Contexto | Lançado |
|---|---|---|---|---|---|
| NanoGPT nano-gpt | z-ai/glm-5.3-flash-cybersecurity | $0.150 | $0.500 | 1.05M | 2026-09-19 |
Frequently asked questions
How much does GLM 5.3 Flash Cybersecurity cost?
GLM 5.3 Flash Cybersecurity costs $0.150 per 1M input tokens and $0.500 per 1M output tokens, sourced from nano-gpt. Cache reads, audio tokens and >200K-context tiers (where applicable) are listed in the Pricing detail block above.
What is the context window of GLM 5.3 Flash Cybersecurity?
GLM 5.3 Flash Cybersecurity has a context window of 1.05M tokens, with a max output of 33K tokens per reply. This is the total combined size of prompt + completion.
Does GLM 5.3 Flash Cybersecurity support tool calling?
Yes. GLM 5.3 Flash Cybersecurity supports tool calling (function calling). This makes it suitable for production agent and automation workloads where the model has to invoke external functions reliably.
Does GLM 5.3 Flash Cybersecurity support structured output / JSON mode?
No. GLM 5.3 Flash Cybersecurity does not support structured output / JSON-schema-constrained decoding. If your workflow requires it, look at the /capabilities/structured-output list for alternatives.
Can GLM 5.3 Flash Cybersecurity accept image input?
Yes. GLM 5.3 Flash Cybersecurity accepts both text and image input. Vision pricing per image is usually billed on top of the regular token rate — check nano-gpt's docs for the exact rule.
Is GLM 5.3 Flash Cybersecurity open-weight?
Yes. GLM 5.3 Flash Cybersecurity's weights are publicly available, so you can self-host or fine-tune. Note that open weights ≠ open source — the training data and code are typically not released.
What are the best alternatives to GLM 5.3 Flash Cybersecurity?
If GLM 5.3 Flash Cybersecurity doesn't fit, consider NanoGPT Help, Web Answer, Ernie 5.0 Thinking Preview. Each one targets the same use case — see the Related links below for direct head-to-head pages.
Where does this data come from?
All numbers are normalised into a single canonical model record and reconciled with each provider's official documentation. We re-pull daily and write any changes (price, context, capability) to the /changelog page.
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- Venice Uncensored$0.40 in / $1.80 out
- Holo3-35B-A3B Thinking$0.25 in / $1.80 out
Capability lists this model is in
Última atualização:
Pricing and capabilities are refreshed daily and reconciled against each provider's official documentation. Always verify critical production decisions with the provider directly.