GLM 4.7 Flash API Pricing

Z.ai (GLM) · context window 203K · prices updated 2026-09-07

Input per 1M tokens

$0.06

Output per 1M tokens

$0.4

Cached input per 1M

$0.01

83% cheaper than fresh input

Where GLM 4.7 Flash sits on price

At $0.4 per million output tokens, GLM 4.7 Flash is a budget tier model — 5.5× cheaper than the median output price of $2.20, which puts it cheaper than 85% and pricier than 15% of the models we track. It sits 2th cheapest of the 15 Z.ai (GLM) models we track. Output costs 6.7× more than input here, so anything that makes the model write less — tighter instructions, structured output, lower max_tokens — moves the bill more than trimming the prompt.

Output tokens per $1

2,500,000

One full context fill

$0.0122

Cheaper than

85% of tracked models

Cached input is 83% cheaper. On an input-heavy workload you need roughly a 30% cache-hit rate to take 25% off the input line — reachable for chatbots and agents that resend the same system prompt and history.

What real workloads cost on GLM 4.7 Flash

These three workloads are the ones teams actually run on a budget-priced model — a $0.4/1M model is not bought for the same job as one ten times the price.

Workload	Per request	Per month
High-volume classification — 200K requests/day (400 in / 20 out) Short output, huge volume: the input price dominates the bill.	$0	$192
Small app — 1K requests/day (500 in / 150 out) The baseline most side projects actually run at.	$0.0001	$2.70
Document pipeline — 10K docs/day (3K in / 500 out) Batch-friendly: no user waiting, so a ~50% batch discount usually applies.	$0.0004	$114

Model your exact traffic in the API cost calculator — it preloads GLM 4.7 Flash with caching and batch options.

GLM 4.7 Flash price history

GLM 4.7 Flash's price has not moved since we began tracking it on Aug 2, 2026 — 36 days of stability in a market where 64 of the 331 models we track have repriced over the same period, including 4 of Z.ai (GLM)'s own 15 models.

Change-points from our daily price snapshots (tracking since Aug 2, 2026; intraday moves between snapshots are not captured).

GLM 4.7 Flash vs Qwen2.5 72B Instruct

The closest-priced alternative from another vendor is Qwen2.5 72B Instruct (Alibaba (Qwen)) — priced within a rounding error on output, with $0.3 more per million input tokens. When two models land this close on price, the decision is quality on your own workload, not the price sheet: run 50 real requests through both and compare.

See Qwen2.5 72B Instruct pricing →

Cheaper alternatives

Gemma 4 31B Google $0.09 in · $0.34 out 15% less per output token Llama 3.2 3B Instruct Meta $0.05 in · $0.33 out 18% less per output token Voxtral Small 24B 2507 Mistral $0.1 in · $0.3 out 25% less per output token

More Z.ai (GLM) models

GLM 5.3 GLM 5V Turbo GLM 5 Turbo GLM 5.2

Frequently asked questions

› How much does the GLM 4.7 Flash API cost?

GLM 4.7 Flash costs $0.06 per million input tokens and $0.4 per million output tokens, with cached input at $0.01 per million (83% cheaper). That works out to roughly 2,500,000 output tokens per dollar.

› What does the high-volume classification workload cost on GLM 4.7 Flash?

High-volume classification — 200K requests/day (400 in / 20 out) costs about $0 per request and $192 per month on GLM 4.7 Flash. Short output, huge volume: the input price dominates the bill.

› What does it cost to fill GLM 4.7 Flash's 203K context window?

Sending 203K of input in a single request costs $0.0122 at $0.06 per million tokens — before any output. With prompt caching that same fill drops to about $0.002 on repeat requests. This is why large context windows are cheap to advertise and expensive to actually use.

› Is GLM 4.7 Flash worth the price?

GLM 4.7 Flash is in the cheapest end of the market — cheaper than 85% of the models we track. At this price the question is not cost but capability: it is a good fit for classification, extraction, routing and bulk summarisation, and a poor fit for multi-step reasoning where a wrong answer costs more than the tokens saved.