NewPoint any agent at UberLLM — one key, every model, list price or less.

GPT-5.2 Codex vs GLM-4.7

openai/gpt-5.2-codex · z-ai/glm-4.7

As of October 31, 2026, GLM-4.7 is the cheaper API on UberLLM: $0.1021 per million input tokens and $0.3742 per million output, versus $1.48 / $11.84 for GPT-5.2 Codex, about 97% less when output is 3 tokens for every input token. These are the median prices buyers paid over the last 24 hours. Both work with one OpenAI-compatible key and UberLLM adds no fee. Choose GLM-4.7 to cut cost; choose GPT-5.2 Codex when context size wins. GPT-5.2 Codex carries the larger context window (256,000 vs 128,000 tokens), which can matter for long-document work.

GPT-5.2 Codex vs GLM-4.7, side by side

SpecGPT-5.2 CodexGLM-4.7
Price · input / 1M$1.48$0.1021
Price · output / 1M$11.84$0.3742
Context length256,000128,000
Max output tokens65,53632,768
Input modalitiestext, imagetext
Output modalitiestexttext
Tools / functionsYesYes
Vision (image input)Yes—
ReasoningYesYes
% off list15% off81% off

Median prices buyers paid on UberLLM over the last 24 hours. No UberLLM fee on requests; adding credit by card costs 5.5% + $0.50. Updated October 31, 2026. A price more than 70% below list is what buyers were billed, not an error. Why so cheap?

GPT-5.2 Codex vs GLM-4.7 — FAQ

Is GPT-5.2 Codex or GLM-4.7 cheaper?

GLM-4.7 is cheaper on a blended token mix, by about 97%. A request costs what its provider charged, UberLLM adds no fee, and every request is listed with its cost in Activity.

What's the price difference between GPT-5.2 Codex and GLM-4.7?

GPT-5.2 Codex: $1.48 in / $11.84 out per 1M tokens. GLM-4.7: $0.1021 in / $0.3742 out per 1M tokens. That's roughly a 97% blended difference. Prices are live; UberLLM adds no fee.

Can I use both GPT-5.2 Codex and GLM-4.7 with one API?

Yes. Both are served through a single OpenAI-compatible endpoint — set the base URL to https://api.uberllm.dev/v1 and your UberLLM key, then switch between them by changing the model id. Anthropic SDKs work via https://api.uberllm.dev/v1/messages.

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