Requesty
Fireworks AI

glm-5.2-fast

GLM-5.2 introduces a robust 1M-token context and advanced, multi-effort coding capabilities to significantly enhance performance on long-horizon tasks. Its new IndexShare architecture and improved MTP layer simultaneously boost efficiency by reducing per-token FLOPs and increasing speculative decoding lengths. A 743B-parameter model in Zhipu AI's GLM series, designed to plan, execute, and iterate autonomously on extended, engineering-grade tasks.

ReasoningTool callingCaching
CompareDocs

Specifications

Context window1M tokens
Max output131K tokens
API typechat
AddedJul 13, 2026
Model IDfireworks/glm-5.2-fast
Data retentionNo
Used for trainingNo
Provider location🇺🇸 US
Privacy policyFireworks Privacy Policy→

Benchmarks

Benchmarks haven't been published yet for this exact variant.

Some variants (region-specific deployments, highspeed tiers) share benchmarks with their base model. Check the base model page or the Fireworks AI models overview.

Pricing

Input / 1M
$2.10
Output / 1M
$6.60
Cache write
N/A
Cache read / 1M
$0.21
Estimated cost
100K input + 10K output$0.28
1M input + 100K output$2.76
10M input + 1M output$27.60

Requesty charges exactly what the upstream provider charges, no markup, no per-request fees. Prompt caching and smart routing can reduce effective cost by 30-80%.

Quickstart

Drop-in compatible with the OpenAI SDK. Change the base URL, swap in your Requesty API key, and set the model to fireworks/glm-5.2-fast.

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
from openai import OpenAI

client = OpenAI(
    api_key="YOUR_REQUESTY_API_KEY",
    base_url="https://router.requesty.ai/v1",
)

response = client.chat.completions.create(
    model="fireworks/glm-5.2-fast",
    messages=[
        {"role": "user", "content": "Explain quantum computing in one paragraph."},
    ],
)

print(response.choices[0].message.content)

Other Fireworks AI models

glm-5.2
1M ctx$1.40/1M
Coding 69
qwen3.7-plus
262K ctx$0.40/1M
Coding 56
nemotron-3-ultra-nvfp4
262K ctx$0.60/1M
minimax-m3
512K ctx$0.30/1M
Coding 59
kimi-k2.7-code
262K ctx$0.95/1M
Coding 61
gpt-oss-120b
131K ctx$0.15/1M
Coding 30

Frequently asked questions

How much does glm-5.2-fast cost?
glm-5.2-fast is priced at $2.10 per million input tokens and $6.60 per million output tokens when accessed via Requesty. Prompt caching is supported, which can cut effective input cost by up to 90% on repeated context. Requesty charges exactly what the upstream provider charges, we don't add markup.
What is the context window of glm-5.2-fast?
glm-5.2-fast has a context window of 1M tokens, with a maximum output of 131K tokens per response. That's roughly 1,333 words of input you can fit in a single prompt.
What can glm-5.2-fast do?
glm-5.2-fast supports tool calling, extended reasoning, prompt caching. You can call it through any OpenAI-compatible client by pointing base_url to Requesty.
How do I use glm-5.2-fast with the OpenAI SDK?
Install the OpenAI SDK, set base_url to "https://router.requesty.ai/v1", set your API key to your Requesty key, and set the model to "fireworks/glm-5.2-fast". The Quickstart above shows Python, JavaScript and cURL snippets.
Can I run glm-5.2-fast through Requesty?
Yes. glm-5.2-fast runs through Requesty's OpenAI-compatible API, served from Fireworks AI. You do not host the model yourself: point base_url at Requesty, set the model to "fireworks/glm-5.2-fast", and requests are routed to the upstream provider with automatic failover. The same key gives you 400+ other models too.

Access glm-5.2-fast through Requesty

One API key, 400+ models, OpenAI-compatible. No markup on provider prices, automatic failover, and smart caching built-in.

All Fireworks AI models