DeepSeek R1 Distill Llama 70B
deepseek/r1-distill-llama-70bVon DeepSeek · Familie: deepseek-thinking · veröffentlicht 2025-01-23 · Wissensstand: 2024-10
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.
Coding35
- Tool calling0/40
- Structured output20/20
- Reasoning10/10
- Context window (100K → 1M)0/20
- Provider availability5/10
Agents50
- Tool calling0/35
- Structured output25/25
- Reasoning15/15
- Output token limit5/15
- Provider availability5/10
JSON / structured output80
- Structured output / JSON mode50/50
- Tool calling0/20
- Temperature control10/10
- Price-friendly for high-volume20/20
Cost efficiency88
- Headline price (log-scaled)83/95
- Has prompt-cache pricing5/5
Long context0
- Context ≥ 100K0/100
Production-readiness74
- Number of independent providers25/40
- Has published per-token price20/20
- Context window ≥ 8K8/15
- No data inconsistencies across providers6/10
- 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 | $0.19 < $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 | $0.38 < $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 | $0.11 < $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 | $0.33 < $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 | $0.39 < $0.01 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 chutes · deepseek-ai/DeepSeek-R1-Distill-Llama-70B
Günstigster Anbieter: openrouter · Unknown Eingabe + Unknown Ausgabe
Bei 5 Anbietern verfügbar
| Anbieter | Anbieter-Modell-ID | Eingabe / 1M | Ausgabe / 1M | Kontext | Veröffentlicht |
|---|---|---|---|---|---|
| OpenRouter openrouter | deepseek/deepseek-r1-distill-llama-70b | Unknown | Unknown | 8K | 2025-01-23 |
| NovitaAI novita-ai | deepseek/deepseek-r1-distill-llama-70b | $0.800 | $0.800 | 8K | 2025-01-27 |
| Chutes chutes | deepseek-ai/DeepSeek-R1-Distill-Llama-70B | $0.027 | $0.109 | 131K | 2025-12-29 |
| 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 |
Datenunterschiede zwischen Anbietern
- context_window varies: 131072, 8192
- release_date varies (span 340d): 2025-01-23, 2025-01-27, 2025-12-29
Anbieter melden unterschiedliche Werte für dieses Modell. Die Schnellinfos oben nutzen den repräsentativen Anbieter; pro Anbieter siehe Tabelle.
Frequently asked questions
How much does DeepSeek R1 Distill Llama 70B cost?
DeepSeek R1 Distill Llama 70B costs $0.027 per 1M input tokens and $0.109 per 1M output tokens, sourced from chutes. 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 Distill Llama 70B?
DeepSeek 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 DeepSeek R1 Distill Llama 70B support tool calling?
No. DeepSeek 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 DeepSeek R1 Distill Llama 70B support structured output / JSON mode?
Yes. DeepSeek R1 Distill Llama 70B supports structured output / JSON-schema-constrained decoding. This makes it suitable for production agent and automation workloads where the model has to invoke external functions reliably.
Can DeepSeek R1 Distill Llama 70B accept image input?
No. DeepSeek 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 DeepSeek R1 Distill Llama 70B open-weight?
Yes. DeepSeek 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 DeepSeek R1 Distill Llama 70B?
If DeepSeek R1 Distill Llama 70B doesn't fit, consider DeepSeek-V3.2, DeepSeek V4 Pro, DeepSeek-R1-0528. 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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- DeepSeek-R1-0528$0.40 in / $1.70 out
- DeepSeek-R1$0.40 in / $1.70 out
- DeepSeek-V3.1$0.20 in / $0.70 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.