ModelRefs / Text Embedding 3 Large vs DeepSeek R1 — Benchmarks, Pricing…
Text Embedding 3 Large vs DeepSeek R1 — Benchmarks, Pricing…
Text Embedding 3 Large vs DeepSeek R1: side-by-side benchmarks, pricing, context windows, coding ability and deployment. Pick the right model for your stack.
Overview
DeepSeek R1: DeepSeek R1 is DeepSeek's open-source reasoning model, trained with reinforcement learning to produce chain-of-thought reasoning before answering. Released in January 2025 under the MIT license, it matched or exceeded closed reasoning models on several math and coding benchmarks.
Context window: DeepSeek R1 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 R1 vs Text Embedding 3 Large at a glance
| Attribute | DeepSeek R1 | Text Embedding 3 Large |
|---|---|---|
| Provider | DeepSeek | OpenAI |
| Released | 2025-01-20 | 2024-01-25 |
| Context window | 128,000 tokens | 8,191 tokens |
| Input price | $0.55/M tokens | $0.13/M tokens |
| Output price | $2.19/M tokens | Free / self-hosted |
| Licence | MIT | Proprietary |
| Self-hostable | Yes, open weights | No, hosted only |
| Modalities | text | text, Embedding |
Where they differ most
- Cost Efficiency: DeepSeek R1 75%, 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 R1 — Benchmarks, Pricing….
Frequently asked questions
Which is better, Text Embedding 3 Large or DeepSeek R1?
Text Embedding 3 Large and DeepSeek R1 target different workloads — see the benchmark and pricing tables for a side-by-side answer.
Is Text Embedding 3 Large cheaper than DeepSeek R1?
Compare $0.00013 vs $0.00055 on this page.