Claude Fable 5$22.000/MClaude Opus 4.8$11.000/MClaude Opus 4.7$11.000/MClaude Opus 4.6$11.000/MClaude Opus 4.5$33.000/MClaude Sonnet 3.7$6.600/MClaude Opus 3$33.000/MClaude 2.1$12.800/MClaude 2$12.800/MGPT-5.5$12.500/MGPT-5.2$5.425/MGPT-5.2-Codex$5.425/MGPT-5$3.875/MGPT-4.5$97.500/MGPT-4 Turbo Preview$16.000/MGPT-4$39.000/MGPT-4-32k$78.000/Mo3$19.000/Mo3-mini$2.090/Mo4-mini$2.090/Mo1$28.500/Mo1-mini$5.700/Mo1-preview$28.500/MGemini 3.5 Pro$5.000/MGemini 3.1 Pro$5.000/MGemini 3 Pro$5.000/MGemini 2.5 Pro$3.875/MGemini 1.5 Pro$2.375/MGemini 1.0 Ultra$12.000/MGemini 1.0 Pro$0.800/MClaude Fable 5$22.000/MClaude Opus 4.8$11.000/MClaude Opus 4.7$11.000/MClaude Opus 4.6$11.000/MClaude Opus 4.5$33.000/MClaude Sonnet 3.7$6.600/MClaude Opus 3$33.000/MClaude 2.1$12.800/MClaude 2$12.800/MGPT-5.5$12.500/MGPT-5.2$5.425/MGPT-5.2-Codex$5.425/MGPT-5$3.875/MGPT-4.5$97.500/MGPT-4 Turbo Preview$16.000/MGPT-4$39.000/MGPT-4-32k$78.000/Mo3$19.000/Mo3-mini$2.090/Mo4-mini$2.090/Mo1$28.500/Mo1-mini$5.700/Mo1-preview$28.500/MGemini 3.5 Pro$5.000/MGemini 3.1 Pro$5.000/MGemini 3 Pro$5.000/MGemini 2.5 Pro$3.875/MGemini 1.5 Pro$2.375/MGemini 1.0 Ultra$12.000/MGemini 1.0 Pro$0.800/M
BETA
DeepSeek
DeepSeek
ReasoningLIVE INDEX

R1 Distill Llama 70B

text->text

Open-weights reasoning model with chain-of-thought trained via RL. Comparable to o1 on math benchmarks at a fraction of the price.

R1 Distill Llama 70B is a reasoning AI model from DeepSeek. It costs $0.800 per million input tokens and $0.800 per million output tokens (blended $0.800/M), with a 128K-token context window.

Profile inherited from upstream DeepSeek-R1 — this is a hosted variant of the same open-weights model.

INPUT
$0.800/M
per million input tokens
OUTPUT
$0.800/M
per million output tokens
CONTEXT
128K
128,000 tokens
What it's good at
  • Open-weights reasoning
  • Visible chain-of-thought
  • Math & code
  • Cheap
Typical use cases
  • Reasoning agents
  • Math/STEM tools
  • Self-hosted reasoning
Benchmarks
vs. best public score
Scores inherited from DeepSeek-R1 — this is a hosted variant of the same open-weights model, so the underlying benchmark scores are identical.
MMLU90%
Multitask academic knowledge across 57 subjects.
GPQA Diamond71%
Graduate-level science questions, "Google-proof".
MATH95%
High-school competition math problems.
HumanEval90%
Python function synthesis from docstrings.
SWE-bench Verified49%
Real GitHub issues solved end-to-end.
LMArena Elo1361 Elo
Crowd-sourced head-to-head preference Elo rating.
Hand-curated from each provider's published reports and public leaderboards. Methodology varies across sources — treat as directional rather than authoritative.
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Frequently asked questions

How much does R1 Distill Llama 70B cost?

R1 Distill Llama 70B costs $0.800 per million input tokens and $0.800 per million output tokens, for a blended reference rate of $0.800 per million tokens.

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

R1 Distill Llama 70B supports up to 128K tokens of context (128,000 tokens).

What is R1 Distill Llama 70B best for?

R1 Distill Llama 70B is well suited to Open-weights reasoning, Visible chain-of-thought and Math & code.

Who makes R1 Distill Llama 70B?

R1 Distill Llama 70B is developed and served by DeepSeek.