DeepSeek · model

R1 Distill Llama 70B

$0.80/1M in · $0.80/1M out · 128K context. That's cheaper than 64% of the 298 models we track, by output price. Here's what it costs, how its price has moved, and where it fits.

output price · per 1M tokens
$0.80
input $0.80/1M · routed
Context
128K
Input / 1M
$0.80
Output / 1M
$0.80
Modality
Text only
Provider
DeepSeek
Tokenizer
Llama3

Snapshot · source: OpenRouter ↗ · how we measure →

cost at a typical workload
$320 / mo

For 1,500 input + 500 output tokens across 200,000 requests/month. That's 53× the cheapest tracked option (Ling-2.6-flash, $6.00/mo).

Tune the workload in the calculator →

output price history
output / 1M

2026-06-14 → 2026-06-15. Full history →

Where it fits

  • A mid-range option — $0.80 in / $0.80 out per 1M with a 128K-token context.

Watch for

  • Priced from OpenRouter's routed market, not a first-party list price — availability and rate can shift without notice.
  • Text-only — no image, audio, or file input.

These notes are derived from price, context and modality — structural facts, not measured quality. Measured cost-to-finish-a-task lives on the real-cost index.

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How to read R1 Distill Llama 70B's pricing

Two numbers decide most of the bill: $0.80/1M for input (everything you send — prompt, context, attachments) and $0.80/1M for output (everything it generates, including hidden reasoning tokens). Output is priced 1.0× the input rate here, so the shape of your workload — how much it reads versus writes — matters as much as the headline figure. This row is OpenRouter's routed market price; it can move as providers and routing change.

Frequently asked questions

How much does R1 Distill Llama 70B cost per million tokens?

R1 Distill Llama 70B is priced at $0.80 per 1M input tokens and $0.80 per 1M output tokens, from OpenRouter's routed market price as of the 2026-06-15 snapshot. Output is the figure that usually drives the bill. Enter your own token volumes in the cost calculator for a monthly estimate.

What is R1 Distill Llama 70B's context window?

R1 Distill Llama 70B has a 128K-token context window — roughly 192 pages of text. Prompt, attachments, conversation and the model's own output all share that budget, and every token you send is billed at the input rate.

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