DeepSeek: R1 Distill Llama 70B

Public pricingIntelligence 66/100Medium memoryगहरी सोचटूल उपयोग

DeepSeek: R1 Distill Llama 70B एक टेक्स्ट मॉडल है, जिसे सामान्य चैट, विश्लेषण और production use के लिए बनाया गया है। यह स्थिर general-purpose प्रदर्शन, 131K tokens का context और संतुलित लागत profile जोड़कर general chat, analysis, and production workloads में भरोसेमंद काम करता है। यह तब व्यावहारिक विकल्प है जब गुणवत्ता, गति और लागत महत्वपूर्ण हो,

Input

$0.70/1M

Output

$0.80/1M

Cached

$0.17/1M

Batch

$0.35/1M

Calculate your R1 Distill Llama 70B bill.

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What would R1 Distill Llama 70B cost you?

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Technical specifications

R1 Distill Llama 70B at a glance.

Memory

131,072

tokens

Max reply

16,384

tokens

Memory tier

Medium

a long report or a codebase file

Tokenizer

llama3

Released

Jan 2025

Training cutoff

Dec 2023

Availability

Public pricing

Status

active

Benchmarks

Quality benchmarks

Independent evaluations from public leaderboards. Higher is better.

  • aa_intelligence_index

    16

  • aime_2024

    86.7

  • bbh

    35.82

  • gpqa_diamond

    65.2

  • ifeval

    43.36

  • livecodebench

    57.5

  • math

    94.5

  • mmlu_pro

    41.65

What it can do

Capabilities & limits.

  • Understands images
  • Deep step-by-step thinking
  • Uses tools / calls functions
  • Strict JSON output
  • Streams replies
  • Fine-tunable on your data

When to pick R1 Distill Llama 70B

  • Multi-step reasoning, research agents, or hard math.
  • Agentic workflows that call tools or APIs.
  • High-volume workloads where unit cost matters.

When to look elsewhere

  • Your workload involves images — pick a vision-capable model instead.

Alternatives

Similar models to compare.

FAQ

R1 Distill Llama 70B — the questions we see most.

Pricing, capabilities, alternatives — generated from the same data that powers the calculator above.

Get instant answers from our AI agent

At a typical workload of 50,000 conversations a month with 1,500-token prompts and 800-token replies, R1 Distill Llama 70B costs roughly $85 per month. Input is $0.70 /1M tokens and output is $0.80 /1M tokens.
R1 Distill Llama 70B has a 131,072-token context window (medium memory — a long report or a codebase file). That means you can fit about 24,576 words of input and history in a single call.
Beyond text generation, R1 Distill Llama 70B supports deep step-by-step reasoning, calling functions / tools, strict JSON output. It streams replies by default.
R1 Distill Llama 70B was released in January 2025, with training data cut off around December 2023.
Models in a similar class include R1 0528, DeepSeek V3.2 Exp, DeepSeek V3.2. The "Similar models" section below this FAQ links into each.

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