ModelRefs / Text Embedding 3 Large vs Claude 3.5 Sonnet
Text Embedding 3 Large vs Claude 3.5 Sonnet
Text Embedding 3 Large vs Claude 3.5 Sonnet: side-by-side benchmarks, pricing, context windows, coding ability and deployment. Pick the right model for your…
Overview
Claude 3.5 Sonnet: Claude 3.5 Sonnet is Anthropic's mid-2024 balanced model, the release that introduced computer use and anchored Anthropic's agentic-coding positioning for its generation across a 200,000-token context window. It is now retired: Anthropic deprecated both the claude-3-5-sonnet-20240620 and claude-3-5-sonnet-20241022 snapshots on 13 August 2025 and retired them on 28 October 2025 on Anthropic-operated platforms, naming Claude Sonnet 5.5 as the replacement.
Text Embedding 3 Large: Text Embedding 3 Large is OpenAI's larger third-generation embedding model, returning 3,072-dimension vectors from inputs of up to 8,192 tokens. Its dimensions parameter shortens the vector at creation time without, as OpenAI puts it, the embedding losing its concept-representing properties, which lets a retrieval system trade index size against accuracy without changing models. Shortening at creation is preferred to truncating afterwards, which requires re-normalising the vector.
Context window: Claude 3.5 Sonnet accepts up to 200,000 tokens, Text Embedding 3 Large up to 8,191. Confirm the limit for your specific deployment channel before relying on it.
Claude 3.5 Sonnet vs Text Embedding 3 Large at a glance
| Attribute | Claude 3.5 Sonnet | Text Embedding 3 Large |
|---|---|---|
| Provider | Anthropic | OpenAI |
| Released | 2024-06-20 | 2024-01-25 |
| Context window | 200,000 tokens | 8,191 tokens |
| Input price | $3/M tokens | $0.13/M tokens |
| Output price | $15/M tokens | Free / self-hosted |
| Licence | Proprietary | Proprietary |
| Self-hostable | No, hosted only | No, hosted only |
| Modalities | text, vision | text, Embedding |
Where they differ most
- Cost Efficiency: Claude 3.5 Sonnet 37%, 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 Claude 3.5 Sonnet.
Frequently asked questions
Which is better, Text Embedding 3 Large or Claude 3.5 Sonnet?
Text Embedding 3 Large and Claude 3.5 Sonnet target different workloads — see the benchmark and pricing tables for a side-by-side answer.
Is Text Embedding 3 Large cheaper than Claude 3.5 Sonnet?
Compare $0.00013 vs $0.00300 on this page.