Compare GPT 5 Codex (OpenAI) and Text Embedding 3 Large (OpenAI) by price, context, capabilities, and latency.
Cote a cote
Comparez le prix, le fournisseur, le contexte, les capacites, la latence et la base de source.
| Model | Provider | Input | Output | Context | Capabilities | Best for | Latency | Status | Source |
|---|---|---|---|---|---|---|---|---|---|
| GPT 5 Codexopenai/gpt-5-codex | OpenAI | $1.25 / 1M tokens | $10 / 1M tokens | — | Streaming | General chat via OpenAI, API workloads | 1000-3000ms | Catalog | Platform curated |
| Text Embedding 3 Largeopenai/text-embedding-3-large | OpenAI | $0.13 / 1M tokens | $0 / 1M tokens | — | Streaming | General chat via OpenAI, API workloads | 1000-3000ms | Catalog | Platform curated |
FAQ
Text Embedding 3 Large is cheaper ($0.13 / 1M tokens input / $0 / 1M tokens output) vs GPT 5 Codex ($1.25 / 1M tokens input / $10 / 1M tokens output). Actual cost depends on your input/output token mix — estimate it with the pricing calculator.
Both offer the same context window: — tokens.
Both target High quality. Pick Text Embedding 3 Large to optimize cost, or GPT 5 Codex for the longer context window. Test both on real prompts before committing production traffic.