ModelRefs / Text Embedding 3 Large vs DeepSeek V3 — Benchmarks, Pricing…

Text Embedding 3 Large vs DeepSeek V3 — Benchmarks, Pricing…

Text Embedding 3 Large vs DeepSeek V3: side-by-side benchmarks, pricing, context windows, coding ability and deployment. Pick the right model for your stack.

Overview

Context window: DeepSeek V3 accepts up to 128,000 tokens, Text Embedding 3 Large up to 8,191. Confirm the limit for your specific deployment channel before relying on it.

DeepSeek V3 vs Text Embedding 3 Large at a glance

AttributeDeepSeek V3Text Embedding 3 Large
ProviderDeepSeekOpenAI
Released2024-12-262024-01-25
Context window128,000 tokens8,191 tokens
Input price$0.27/M tokens$0.13/M tokens
Output price$1.1/M tokensFree / self-hosted
LicenceMITProprietary
Self-hostableYes, open weightsNo, hosted only
Modalitiestexttext, Embedding

Where they differ most

  • Cost Efficiency: DeepSeek V3 85%, 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 DeepSeek V3 — Benchmarks, Pricing….

Frequently asked questions

Which is better, Text Embedding 3 Large or DeepSeek V3?

Text Embedding 3 Large and DeepSeek V3 target different workloads — see the benchmark and pricing tables for a side-by-side answer.

Is Text Embedding 3 Large cheaper than DeepSeek V3?

Compare $0.00013 vs $0.00027 on this page.