API cost decision in 10 seconds

GPT-5.3 Chat vs GLM 4.7

Pick GLM 4.7 when budget and context both matter.

Page updated: 2026-05-26T10:03:26Z Data confirmed: 2026-05-26T12:43:06Z Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick GLM 4.7 when budget and context both matter.

On the standard 1M input plus 500K output workload, GLM 4.7 is estimated at $1.27 vs $8.75 for GPT-5.3 Chat, saving $7.47 (85.4% lower).

Cost-first pickGLM 4.7

Context-first pickGLM 4.7

Sample savings$7.4785.4%

10x traffic gap$74.75

GLM 4.7 is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $74.75. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

GLM 4.7 stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shape	Token mix	Better pick	GPT-5.3 Chat	GLM 4.7
Input-heavy / RAG	5M input + 500K output	GLM 4.7	$15.75	$2.88
Balanced workload	1M input + 1M output	GLM 4.7	$15.75	$2.15
Output-heavy chatbot	1M input + 5M output	GLM 4.7	$71.75	$9.15

Cheaper input GLM 4.7 $1.75 vs $0.4 / 1M

GLM 4.7 is $1.35 cheaper per 1M input tokens (77.1% lower; 4.38x difference).

Cheaper output GLM 4.7 $14 vs $1.75 / 1M

GLM 4.7 is $12.25 cheaper per 1M output tokens (87.5% lower; 8x difference).

Larger context GLM 4.7 128K vs 202.75K

GLM 4.7 has 74.75K more context (1.58x larger).

Sample workload GLM 4.7 $8.75 vs $1.27

GLM 4.7 is $7.47 cheaper on the standard workload (85.4% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.

Monthly input tokens Monthly output tokens

GPT-5.3 Chat Calculating… Estimated API cost

GLM 4.7 Calculating… Estimated API cost

Cheaper for this workload Calculating… Difference: calculating…

This estimate uses normalized public API pricing per 1M tokens. It is a planning aid, not a billing quote. Verify provider pricing, limits, and terms before production use.

Quick Decision

Verdict

GLM 4.7 has the lower input price; GLM 4.7 has the lower output price; GLM 4.7 offers the larger context window. For the 1M input plus 500K output sample, GLM 4.7 is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $8.75 for GPT-5.3 Chat and $1.27 for GLM 4.7.

Best Fit

Choose GPT-5.3 Chat when its provider, model quality, latency, or availability is more important than the numeric price/context winner.

Choose GLM 4.7 when you care most about lower input-token price, lower output-token price, and larger context window.

Decision Notes

On the standard 1M input plus 500K output workload, GLM 4.7 is estimated at $1.27 vs $8.75 for GPT-5.3 Chat, saving $7.47 (85.4% lower).
GLM 4.7 is $7.47 cheaper on the standard workload (85.4% lower).
GLM 4.7 is $1.35 cheaper per 1M input tokens (77.1% lower; 4.38x difference).
GLM 4.7 is $12.25 cheaper per 1M output tokens (87.5% lower; 8x difference).
GLM 4.7 has 74.75K more context (1.58x larger).

Head-to-Head Specs

Feature	GPT-5.3 Chat (OpenAI)	GLM 4.7 (Z.ai)
Input Price prompt tokens per 1M	$1.75	$0.4
Completion Price per 1M tokens	$14	$1.75
Sample Workload Cost 1M input + 500K output	$8.75	$1.27
Context Window	128K	202.75K
Release Date	2026-03-03	2025-12-22

Use-Case Decision Matrix

Use case	Better pick	Why
Budget-constrained production	GLM 4.7	On the standard 1M input plus 500K output workload, GLM 4.7 is estimated at $1.27 vs $8.75 for GPT-5.3 Chat, saving $7.47 (85.4% lower).
High-volume input processing	GLM 4.7	Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbots	GLM 4.7	Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document work	GLM 4.7	A larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps

gpt-oss-120b (free) can replace GPT-5.3 Chat when lower sample workload cost matters most: $0.
gpt-oss-20b (free) can replace GPT-5.3 Chat when lower sample workload cost matters most: $0.
gpt-oss-20b can replace GPT-5.3 Chat when lower sample workload cost matters most: $0.1.
gpt-oss-120b can replace GPT-5.3 Chat when lower sample workload cost matters most: $0.13.

Larger context near this budget

Llama 4 Scout offers 10M context with $0.23 sample workload cost.
Grok 4.20 Multi-Agent offers 2M context with $5 sample workload cost.
Grok 4.20 offers 2M context with $2.5 sample workload cost.
GPT-5.4 offers 1.05M context with $10 sample workload cost.

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GPT-5.3 Chat

GPT-5.3 Chat is an update to ChatGPT's most-used model that makes everyday conversations smoother, more useful, and more directly helpful. It delivers more accurate answers with better contextualization and significantly...

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GLM-4.7 is Z.ai’s latest flagship model, featuring upgrades in two key areas: enhanced programming capabilities and more stable multi-step reasoning/execution. It demonstrates significant improvements in executing complex agent tasks while...