R1 Distill Llama 70B
deepseek/r1-distill-llama-70b出品方： DeepSeek · 系列: deepseek-thinking · 发布 2025-01-23 · 知识截止: 2024-07-31
Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.
能力清单
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.
Coding14
- Tool calling0/40
- Structured output0/20
- Reasoning10/10
- Context window (100K → 1M)0/20
- Provider availability4/10
Agents24
- Tool calling0/35
- Structured output0/25
- Reasoning15/15
- Output token limit5/15
- Provider availability4/10
JSON / structured output30
- Structured output / JSON mode0/50
- Tool calling0/20
- Temperature control10/10
- Price-friendly for high-volume20/20
Cost efficiency81
- Headline price (log-scaled)81/95
- Has prompt-cache pricing0/5
Long context0
- Context ≥ 100K0/100
Production-readiness71
- Number of independent providers20/40
- Has published per-token price20/20
- Context window ≥ 8K8/15
- No data inconsistencies across providers8/10
- Official model (not derivative)15/15
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 | $0.22 < $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 | $0.44 < $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 | $0.13 < $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 | $0.38 < $0.01 per request | 8K input tokens (diff + surrounding files) and a 1K-token review comment. PR-bot workloads. |
Agent step per 1,000 steps | $0.44 < $0.01 per request | 12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step. |
定价详情
推荐定价来自 fastrouter · deepseek-ai/deepseek-r1-distill-llama-70b
在 4 家渠道可用
| 服务商 | 服务商模型 ID | 输入 / 1M | 输出 / 1M | 上下文 | 发布日期 |
|---|---|---|---|---|---|
| OpenRouter openrouter | deepseek/deepseek-r1-distill-llama-70b | $0.800 | $0.800 | 8K | 2025-01-23 |
| NovitaAI novita-ai | deepseek/deepseek-r1-distill-llama-70b | $0.800 | $0.800 | 8K | 2025-01-27 |
| Kilo Gateway kilo | deepseek/deepseek-r1-distill-llama-70b | $0.700 | $0.800 | 131K | 2025-01-23 |
| FastRouter fastrouter | deepseek-ai/deepseek-r1-distill-llama-70b | $0.030 | $0.140 | 131K | 2025-01-23 |
各渠道数据存在不一致
- context_window varies: 131072, 8192
各服务商对此模型的报告值存在差异。上方「核心数据」使用代表性服务商的值；逐项请以下表为准。
Frequently asked questions
How much does R1 Distill Llama 70B cost?
R1 Distill Llama 70B costs $0.030 per 1M input tokens and $0.140 per 1M output tokens, sourced from fastrouter. Cache reads, audio tokens and >200K-context tiers (where applicable) are listed in the Pricing detail block above.
What is the context window of R1 Distill Llama 70B?
R1 Distill Llama 70B has a context window of 8K tokens, with a max output of 8K tokens per reply. This is the total combined size of prompt + completion.
Does R1 Distill Llama 70B support tool calling?
No. R1 Distill Llama 70B does not support tool calling (function calling). If your workflow requires it, look at the /capabilities/tool-calling list for alternatives.
Does R1 Distill Llama 70B support structured output / JSON mode?
No. R1 Distill Llama 70B does not support structured output / JSON-schema-constrained decoding. If your workflow requires it, look at the /capabilities/structured-output list for alternatives.
Can R1 Distill Llama 70B accept image input?
No. R1 Distill Llama 70B only accepts text as input. If you need image input, see our /capabilities/vision list for current vision-capable models.
Is R1 Distill Llama 70B open-weight?
Yes. R1 Distill Llama 70B's weights are publicly available, so you can self-host or fine-tune. Note that open weights ≠ open source — the training data and code are typically not released.
What are the best alternatives to R1 Distill Llama 70B?
If R1 Distill Llama 70B doesn't fit, consider DeepSeek V4 Pro, DeepSeek-V3.2, DeepSeek V4 Flash. 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 are normalised into a single canonical model record and reconciled with each provider's official documentation. We re-pull daily and write any changes (price, context, capability) to the /changelog page.
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Capability lists this model is in
最近更新：
Pricing and capabilities are refreshed daily and reconciled against each provider's official documentation. Always verify critical production decisions with the provider directly.