ModelRefs / Text Embedding 3 Large vs GPT-4.1 — Benchmarks, Pricing & C…

Text Embedding 3 Large vs GPT-4.1 — Benchmarks, Pricing & C…

Text Embedding 3 Large vs GPT-4.1: side-by-side benchmarks, pricing, context windows, coding ability and deployment. Pick the right model for your stack.

Overview

Context window: GPT-4.1 accepts up to 1,000,000 tokens, Text Embedding 3 Large up to 8,191. Confirm the limit for your specific deployment channel before relying on it.

GPT-4.1 vs Text Embedding 3 Large at a glance

AttributeGPT-4.1Text Embedding 3 Large
ProviderOpenAIOpenAI
Released2025-04-142024-01-25
Context window1,000,000 tokens8,191 tokens
Input price$2/M tokens$0.13/M tokens
Output price$8/M tokensFree / self-hosted
LicenceProprietaryProprietary
Self-hostableNo, hosted onlyNo, hosted only
Modalitiestext, visiontext, Embedding

Where they differ most

  • Cost Efficiency: GPT-4.1 51%, Text Embedding 3 Large 99%. Text Embedding 3 Large leads on this dimension.

Capability scores are ModelRefs' own derived signals, not vendor claims or benchmark results. Validate against your own workload before relying on them.

Continue your research

Use these connected ModelRefs sections to compare alternatives, inspect implementation paths, and review the evidence and governance boundaries relevant to Text Embedding 3 Large vs GPT-4.1 — Benchmarks, Pricing & C….

Frequently asked questions

Which is better, Text Embedding 3 Large or GPT-4.1?

Text Embedding 3 Large and GPT-4.1 target different workloads — see the benchmark and pricing tables for a side-by-side answer.

Is Text Embedding 3 Large cheaper than GPT-4.1?

Compare $0.00013 vs $0.00200 on this page.