DeepSeek-R1 (US)
amazon-bedrock/us-deepseek-r1Von amazon-bedrock · Familie: deepseek-thinking · veröffentlicht 2025-01-20 · Wissensstand: 2024-07
⚠ Dies ist ein Community-Finetune oder Derivat — keine offizielle Anbieter-Veröffentlichung.
Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.
Fähigkeiten
Model fit scores
0–100 · higher is betterThese scores reward declared capabilities, context size, price and provider availability — they are not benchmark results. Use them as a directional signal alongside your own evaluation.
Coding53
- Tool calling40/40
- Structured output0/20
- Reasoning10/10
- Context window (100K → 1M)2/20
- Provider availability1/10
Agents66
- Tool calling35/35
- Structured output0/25
- Reasoning15/15
- Output token limit15/15
- Provider availability1/10
JSON / structured output37
- Structured output / JSON mode0/50
- Tool calling20/20
- Temperature control10/10
- Price-friendly for high-volume7/20
Cost efficiency42
- Headline price (log-scaled)42/95
- Has prompt-cache pricing0/5
Long context45
- Context window (100K → 2M)35/90
- Has published price for full window10/10
Production-readiness50
- Number of independent providers5/40
- Has published per-token price20/20
- Context window ≥ 8K15/15
- No data inconsistencies across providers10/10
- Official model (not derivative)0/15
Cost Efficiency Index
Open full calculator →Estimated cost using the recommended provider's headline rate. Each scenario fixes average input/output tokens — the assumptions are shown in the third column.
| Scenario | Cost | Assumption |
|---|---|---|
RAG answer per 1,000 RAG answers | $9.45 < $0.01 per request | 5K input tokens (query + 4 retrieved chunks of ~1K each) and a 500-token answer. Typical SaaS knowledge-base bot. |
Support ticket triage per 10,000 tickets | $18.90 < $0.01 per request | 1K input tokens (ticket body + system prompt) and a 100-token JSON classification reply. High-volume customer support. |
Data extraction per 1,000 documents | $5.40 < $0.01 per request | 2K input tokens (a single document page) and a 500-token JSON extraction. ETL / invoice / form pipelines. |
Code review per 1,000 PRs | $16.20 $0.02 per request | 8K input tokens (diff + surrounding files) and a 1K-token review comment. PR-bot workloads. |
Agent step per 1,000 steps | $19.44 $0.02 per request | 12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step. |
Preis-Details
Empfohlene Preise von amazon-bedrock · us.deepseek.r1-v1:0
Bei 1 Anbietern verfügbar
| Anbieter | Anbieter-Modell-ID | Eingabe / 1M | Ausgabe / 1M | Kontext | Veröffentlicht |
|---|---|---|---|---|---|
| Amazon Bedrock amazon-bedrock | us.deepseek.r1-v1:0 | $1.35 | $5.40 | 128K | 2025-01-20 |
Frequently asked questions
How much does DeepSeek-R1 (US) cost?
DeepSeek-R1 (US) costs $1.35 per 1M input tokens and $5.40 per 1M output tokens, sourced from amazon-bedrock. Cache reads, audio tokens and >200K-context tiers (where applicable) are listed in the Pricing detail block above.
What is the context window of DeepSeek-R1 (US)?
DeepSeek-R1 (US) has a context window of 128K tokens, with a max output of 33K tokens per reply. This is the total combined size of prompt + completion.
Does DeepSeek-R1 (US) support tool calling?
Yes. DeepSeek-R1 (US) supports tool calling (function calling). This makes it suitable for production agent and automation workloads where the model has to invoke external functions reliably.
Does DeepSeek-R1 (US) support structured output / JSON mode?
Support for structured output / JSON-schema-constrained decoding is not reported for DeepSeek-R1 (US) in our data source. Verify with amazon-bedrock's official documentation before relying on it in production.
Can DeepSeek-R1 (US) accept image input?
No. DeepSeek-R1 (US) only accepts text as input. If you need image input, see our /capabilities/vision list for current vision-capable models.
Is DeepSeek-R1 (US) open-weight?
No. DeepSeek-R1 (US) is a proprietary model — only amazon-bedrock (and any approved hosting partners) can serve it. The pricing above reflects the cheapest API access.
What are the best alternatives to DeepSeek-R1 (US)?
If DeepSeek-R1 (US) doesn't fit, consider Palmyra X5, Nova Pro, Nova Micro. Each one targets the same use case — see the Related links below for direct head-to-head pages.
Where does this data come from?
All numbers come from the public models.dev API and are normalised into a single canonical model record. We re-pull daily and write any changes (price, context, capability) to the /changelog page.
Explore more
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- Nova Lite$0.06 in / $0.24 out
Capability lists this model is in
Zuletzt aktualisiert:
Data is sourced from models.dev and normalized for comparison. Prices and capabilities may change. Always verify critical production decisions with the provider's official documentation.