Z.ai GLM 5.3 (batch) API Pricing

Z.ai GLM 5.3 (batch) API pricing: $0.45 per 1M tokens for input and $2.00 per 1M tokens for output, from OpenRouter. Published Last checked · Source (data) · Methodology

OpenRouter: Amount worked out from the source page: $0.45 per 1M tokens, in USD · as shown in the United States on 9 Nov 2026 · the page does not say whether tax is included; we do not assume it is excluded.

Data as of9 Nov 2026Prices checked 9 Nov 2026 · test requests to 8 Nov 2026Data & API
Task receipt: OpenRouter: $0.078; Warm cache: $0.028 Calculated · Document analysis Assumption: 3 steps; initial input 50,500 tokens; growth 2,500 tokens/step; visible output 1,000 tokens/step. Month: 14,600 tasks. No hidden reasoning or retries. Warm-cache saving: $0.049 per task. Dashed outline: the no-cache bill.
Task receipt.Calculated · Document analysis Assumption: 3 steps; initial input 50,500 tokens; growth 2,500 tokens/step; visible output 1,000 tokens/step. Month: 14,600 tasks. No hidden reasoning or retries. Warm-cache saving: $0.049 per task. Dashed outline: the no-cache bill. Open image · Explore the chart · Measured Lab · CC BY 4.0

Prices USD per 1M tokens, as listed

  • $0.45Input per 1M tokens, through OpenRouter Published
  • $2.00Output per 1M tokens, through OpenRouter Published
All prices by channel
Price per 1M tokensProvider directThrough OpenRouterPrevious prices by channel
Input—$0.45 Published—
Output—$2.00 Published—
Cached input · read—$0.10 Published—

Input price through OpenRouter, 16 Oct 2026 – 9 Nov 2026

16 Oct 2026$0.45 → $0.37 → $0.459 Nov 2026

Context window1,048,576tokens Published
Max output131,072tokens Published

OpenRouter providers who serves this model through OpenRouter, at what price

OpenRouter sends a call without a pinned provider to one of these endpoints, and each endpoint has its own price. Prices are USD per 1M tokens, input / output.

Pinned min: input $0.45 · DeepInfra (deepinfra/fp4); output $1.271 · Morph (morph/fp8)

Unpinned range: input $0.45–$0.623, output $1.271–$2.00 across 2 providers (listing shows $0.37 / $1.50).

No endpoint in this reading sells at the listing price.

Price moves of 20% or more since the reading of 8 Nov 2026:

  • Listing price $0.45 / $2.00 → $0.37 / $1.50 (input −18%, output −25%).
  • Morph (morph/fp8): $0.37 / $1.50 → $0.623 / $1.271 (input +68%, output −15%).
  • Lowest-priced endpoint for the workload: DeepInfra (deepinfra/fp4) at $4.29 per 1,000 tasks, before Morph (morph/fp8) at $3.45.

Models with the widest provider price spread on OpenRouter

Request fragment that pins DeepInfra (deepinfra/fp4):

{"provider": {"order": ["deepinfra/fp4"], "allow_fallbacks": false}}

Request fragment that pins Morph (morph/fp8):

{"provider": {"order": ["morph/fp8"], "allow_fallbacks": false}}

With fallbacks turned off, OpenRouter does not move the call to another provider. A full endpoint tag pins that endpoint; the provider name alone covers all of its endpoints (OpenRouter provider routing).

All endpoints (2), by input price
ProviderEndpoint tagPrecisionInputOutputContext, tokens
DeepInfradeepinfra/fp4fp4$0.45$2.001,048,576
Morphmorph/fp8fp8$0.623$1.2711,048,576

Sorted by input price, then output price. Precision is the quantization field of the endpoints list.

How we got this number

  • What we read: the published price on openrouter.ai/api/v1/models
  • Checked: ; tracked since 16 Oct 2026
  • Shown in: the United States
  • Checks so far: 25 checks since 16 Oct 2026
  • What changed: the listed price moved between checks since 16 Oct 2026; see the record history
  • Page updated:

Other measured facts

QuestionAnswerCheckedStatus
How much does Z.ai GLM 5.3 (batch) cost per 1M cache-read tokens (cache hits) on OpenRouter?$0.10 per 1M tokensPublished
How much does Z.ai GLM 5.3 (batch) cost per 1M output tokens on OpenRouter?$2.00 per 1M tokensPublished
What is the context window of Z.ai GLM 5.3 (batch) on OpenRouter, in tokens?1,048,576 tokensPublished
What is the maximum output length of Z.ai GLM 5.3 (batch) on OpenRouter, in tokens?131,072 tokensPublished

History

The listed price moved between the 25 checks since 16 Oct 2026; every reading is in the record history below.

  1. — First check: $0.45 per 1M tokens
  2. Short-lived or unconfirmed moves are not shown as changes.

The source record lists $0.00000045 per token ($0.45 per 1M tokens), fetched on 9 Nov 2026.

The source record, as published
"prompt":"0.00000045"
What the source says · openrouter.ai

Latest briefings each price change recalculated as a task cost

  1. DeepSeek V4 Pro 0813: price rise input $0.115 → $0.111 per 1M tokens (-3 %), output $4.00 → $4.44 per 1M tokens (+11 %)
  2. DeepSeek V4.1 Flash 1017: price cut input $0.300 → $0.0060 per 1M tokens (-98 %), output $1.20 → $0.500 per 1M tokens (-58 %)
  3. MoonshotAI Kimi K2.5: price rise input $0.500 → $0.532 per 1M tokens (+6 %), output $2.50 → $3.33 per 1M tokens (+33 %)

All briefings

Record history — 113 records for 5 questions
Last record
Shown in
the United States
How much does Z.ai GLM 5.3 (batch) cost per 1M input tokens on OpenRouter?
TimeValueStatus
9 Nov 2026$0.45 per 1M tokensPublished
8 Nov 2026$0.37 per 1M tokensPublished
7 Nov 2026$0.45 per 1M tokensPublished
6 Nov 2026$0.45 per 1M tokensPublished
5 Nov 2026$0.45 per 1M tokensPublished
4 Nov 2026$0.45 per 1M tokensPublished
3 Nov 2026$0.45 per 1M tokensPublished
2 Nov 2026$0.45 per 1M tokensPublished
1 Nov 2026$0.45 per 1M tokensPublished
31 Oct 2026$0.45 per 1M tokensPublished
30 Oct 2026$0.45 per 1M tokensPublished
29 Oct 2026$0.45 per 1M tokensPublished
How much does Z.ai GLM 5.3 (batch) cost per 1M cache-read tokens (cache hits) on OpenRouter?
TimeValueStatus
9 Nov 2026$0.10 per 1M tokensPublished
8 Nov 2026$0.13 per 1M tokensPublished
7 Nov 2026$0.10 per 1M tokensPublished
6 Nov 2026$0.10 per 1M tokensPublished
5 Nov 2026$0.10 per 1M tokensPublished
4 Nov 2026$0.10 per 1M tokensPublished
3 Nov 2026$0.10 per 1M tokensPublished
2 Nov 2026$0.10 per 1M tokensPublished
1 Nov 2026$0.10 per 1M tokensPublished
31 Oct 2026$0.10 per 1M tokensPublished
30 Oct 2026$0.10 per 1M tokensPublished
29 Oct 2026$0.10 per 1M tokensPublished
How much does Z.ai GLM 5.3 (batch) cost per 1M output tokens on OpenRouter?
TimeValueStatus
9 Nov 2026$2.00 per 1M tokensPublished
8 Nov 2026$1.50 per 1M tokensPublished
7 Nov 2026$2.00 per 1M tokensPublished
6 Nov 2026$2.00 per 1M tokensPublished
5 Nov 2026$2.00 per 1M tokensPublished
4 Nov 2026$2.00 per 1M tokensPublished
3 Nov 2026$2.00 per 1M tokensPublished
2 Nov 2026$2.00 per 1M tokensPublished
1 Nov 2026$2.00 per 1M tokensPublished
31 Oct 2026$2.00 per 1M tokensPublished
30 Oct 2026$2.00 per 1M tokensPublished
29 Oct 2026$2.00 per 1M tokensPublished
What is the context window of Z.ai GLM 5.3 (batch) on OpenRouter, in tokens?
TimeValueStatus
9 Nov 20261,048,576 tokensPublished
8 Nov 20261,048,576 tokensPublished
7 Nov 20261,048,576 tokensPublished
6 Nov 20261,048,576 tokensPublished
5 Nov 20261,048,576 tokensPublished
4 Nov 20261,048,576 tokensPublished
3 Nov 20261,048,576 tokensPublished
2 Nov 20261,048,576 tokensPublished
1 Nov 20261,048,576 tokensPublished
31 Oct 20261,048,576 tokensPublished
30 Oct 20261,048,576 tokensPublished
29 Oct 20261,048,576 tokensPublished
What is the maximum output length of Z.ai GLM 5.3 (batch) on OpenRouter, in tokens?
TimeValueStatus
9 Nov 2026131,072 tokensPublished
8 Nov 2026943,718 tokensPublished
7 Nov 2026131,072 tokensPublished
6 Nov 2026131,072 tokensPublished
5 Nov 2026131,072 tokensPublished
4 Nov 2026131,072 tokensPublished
3 Nov 2026131,072 tokensPublished
2 Nov 2026131,072 tokensPublished
1 Nov 2026131,072 tokensPublished
31 Oct 2026131,072 tokensPublished
30 Oct 2026131,072 tokensPublished
29 Oct 2026131,072 tokensPublished

Showing the latest 60 of 113 records; the full history is in data.json and data.csv.

Explore the numbers

GLM 5.3 (batch)

OpenRouter$0.078Warm cache$0.028$0.00$0.02$0.04$0.06$0.08OpenRouter$0.078Warm cache$0.028$0.00$0.02$0.04$0.06$0.08
OpenRouter$1,132.23Warm cache$409.80$0$500$1,000$1,500OpenRouter$1,132.23Warm cache$409.80$0$500$1,000$1,500

Calculated · Document analysis

Assumption: 3 steps; initial input 50,500 tokens; growth 2,500 tokens/step; visible output 1,000 tokens/step. Month: 14,600 tasks. No hidden reasoning or retries.

Warm-cache saving: $0.049 per task. Dashed outline: the no-cache bill.

Assumption: first-step cache fraction 75%; earlier context is read again and new context is written. All calls stay within the cache lifetime.

Formula: sum of input, output, cache reads and cache writes × their published rates / 1M. Each step uses its own context tier. Missing cache or batch prices are Unknown.

Fresh input · Visible output · Cache read · Cache write

Sources: this page; published model prices (data (JSON)); task assumptions (data (JSON)). Published prices · Observed responses · Calculated scenarios · Assumptions stated with each chart.