GLM 5 Fast
neuralwatt/glm-5-fastBy neuralwatt · family: glm · released 2026-04-07
⚠ This is a community fine-tune or derivative — not an official vendor release.
Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.
Capabilities
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.
Coding47
- Tool calling40/40
- Structured output0/20
- Reasoning0/10
- Context window (100K → 1M)6/20
- Provider availability1/10
Agents51
- Tool calling35/35
- Structured output0/25
- Reasoning0/15
- Output token limit15/15
- Provider availability1/10
JSON / structured output41
- Structured output / JSON mode0/50
- Tool calling20/20
- Temperature control10/10
- Price-friendly for high-volume11/20
Cost efficiency46
- Headline price (log-scaled)46/95
- Has prompt-cache pricing0/5
Long context55
- Context window (100K → 2M)45/90
- 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 | $7.30 < $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 | $14.60 < $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 | $4.00 < $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 | $12.40 $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 | $15.36 $0.02 per request | 12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step. |
Pricing detail
Recommended pricing from neuralwatt · glm-5-fast
Available on 1 providers
| Provider | Provider model id | Input / 1M | Output / 1M | Context | Released |
|---|---|---|---|---|---|
| Neuralwatt neuralwatt | glm-5-fast | $1.10 | $3.60 | 203K | 2026-04-07 |
Frequently asked questions
How much does GLM 5 Fast cost?
GLM 5 Fast costs $1.10 per 1M input tokens and $3.60 per 1M output tokens, sourced from neuralwatt. 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 Fast?
GLM 5 Fast has a context window of 203K tokens, with a max output of 203K tokens per reply. This is the total combined size of prompt + completion.
Does GLM 5 Fast support tool calling?
Yes. GLM 5 Fast 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 Fast support structured output / JSON mode?
Support for structured output / JSON-schema-constrained decoding is not reported for GLM 5 Fast in our data source. Verify with neuralwatt's official documentation before relying on it in production.
Can GLM 5 Fast accept image input?
No. GLM 5 Fast only accepts text as input. If you need image input, see our /capabilities/vision list for current vision-capable models.
Is GLM 5 Fast open-weight?
Yes. GLM 5 Fast'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.
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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Capability lists this model is in
Last updated:
Pricing and capabilities are refreshed daily and reconciled against each provider's official documentation. Always verify critical production decisions with the provider directly.