GLM-5.3
aki-io/glm5-3-754bОт aki-io · семейство: glm · выпуск 2026-08-14
⚠ Это сообществом дообученная / производная модель — не официальный релиз вендора.
Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.
Возможности
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.
Coding85
- Tool calling40/40
- Structured output20/20
- Reasoning10/10
- Context window (100K → 1M)14/20
- Provider availability1/10
Agents91
- Tool calling35/35
- Structured output25/25
- Reasoning15/15
- Output token limit15/15
- Provider availability1/10
JSON / structured output91
- Structured output / JSON mode50/50
- Tool calling20/20
- Temperature control10/10
- Price-friendly for high-volume11/20
Cost efficiency51
- Headline price (log-scaled)46/95
- Has prompt-cache pricing5/5
Long context76
- Context window (100K → 2M)66/90
- Has published price for full window10/10
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 | $6.75 < $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 | $13.50 < $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 | $3.75 < $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 | $11.50 $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 | $14.10 $0.01 per request | 12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step. |
Детализация цен
Рекомендованная цена от aki-io · glm5.3-754b
Доступна у 1 провайдеров
| Провайдер | ID модели провайдера | Вход / 1M | Выход / 1M | Контекст | Выпуск |
|---|---|---|---|---|---|
| AKI.IO aki-io | glm5.3-754b | $1.00 | $3.50 | 524K | 2026-08-14 |
Frequently asked questions
How much does GLM-5.3 cost?
GLM-5.3 costs $1.00 per 1M input tokens and $3.50 per 1M output tokens, sourced from aki-io. 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?
GLM-5.3 has a context window of 524K tokens, with a max output of 82K tokens per reply. This is the total combined size of prompt + completion.
Does GLM-5.3 support tool calling?
Yes. GLM-5.3 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 support structured output / JSON mode?
Yes. GLM-5.3 supports structured output / JSON-schema-constrained decoding. This makes it suitable for production agent and automation workloads where the model has to invoke external functions reliably.
Can GLM-5.3 accept image input?
No. GLM-5.3 only accepts text as input. If you need image input, see our /capabilities/vision list for current vision-capable models.
Is GLM-5.3 open-weight?
Yes. GLM-5.3'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?
If GLM-5.3 doesn't fit, consider GPT OSS 120B. 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.
Explore more
More aki-io models
- GPT OSS 120B$0.15 in / $0.55 out
Capability lists this model is in
Последнее обновление:
Pricing and capabilities are refreshed daily and reconciled against each provider's official documentation. Always verify critical production decisions with the provider directly.