DeepSeekopen-weight
Released: 2026-06-01

DeepSeek: R1 Distill Llama 70B

DeepSeek R1 Distill Llama 70B is a distilled large language model based on [Llama-3.3-70B-Instruct](/meta-llama/llama-3.3-70b-instruct), using outputs from [DeepSeek R1](/deepseek/deepseek-r1). The model combines advanced distillation techniques to achieve high performance across...

Intelligence Index
81.0/ 100
Calibrated multi-domain composite
Throughput Speed
130tok/sec
Output streaming throughput
Time To First Token
280ms
Initial chunk server latency
LiveBench Contam-Free
71.3%
September 2026 suite score

LiveBench Multi-Domain Evaluation Breakdown

Monthly refreshed contamination-free test sets
Logical Reasoning74.5%
Coding & Repo Repair72.9%
Mathematics (AIME)72.1%
Data Analysis & Tables68.9%
Language & Comprehension70.5%
Instruction Following71.3%

Sourced Benchmark Evaluations (51)

Verified performance across authoritative benchmarks with provenance tracking.
BenchmarkStatusScoreTrustDateSource TypeProvenance
ARC-AGI-3Active51.1%
93
2026-07-06independentSource ↗
ARC-AGI-2Nearing Saturation61.3%
75
2026-06-29independentSource ↗
FrontierMathActive21.1%
98
2026-06-26independentSource ↗
PutnamBenchActive39.2%
90
2026-06-25independentSource ↗
Omni-MATHDeprecated55.7%
10
2026-06-23independentSource ↗
SWE-LancerDeprecated52.4%
20
2026-06-23independentSource ↗
SoohakActive57.2%
98
2026-06-21independentSource ↗
FrontierCodeActive44.7%
98
2026-06-21independentSource ↗
AIMENearing Saturation71.5%
75
2026-06-19independentSource ↗
Humanity's Last ExamActive34.6%
93
2026-06-19independentSource ↗
StructFlowBenchNearing Saturation60.6%
75
2026-06-19independentSource ↗
OlympiadBenchActive61.7%
80
2026-06-18independentSource ↗
MathArenaActive60.2%
99
2026-06-17independentSource ↗
FireBenchActive59.9%
95
2026-06-17independentSource ↗
Terminal-BenchActive53.9%
80
2026-06-17independentSource ↗
CodeContestsDeprecated50.1%
10
2026-06-16independentSource ↗
SimpleQAActive42.1%
90
2026-06-16independentSource ↗
SWE-bench ProActive47.7%
90
2026-06-15independentSource ↗
ComplexBenchNearing Saturation58.5%
80
2026-06-15independentSource ↗
MultiPL-EDeprecated70.8%
10
2026-06-14independentSource ↗
AgentIFNearing Saturation48.5%
80
2026-06-13independentSource ↗
MATHSaturated73.8%
25
2026-06-13independentSource ↗
LiveCodeBenchSaturated63.1%
39
2026-06-13independentSource ↗
MercuryDeprecated67.8%
10
2026-06-12independentSource ↗
MMLU-ProNearing Saturation74.5%
75
2026-06-12independentSource ↗
CyberSecEvalDeprecated69.3%
10
2026-06-11independentSource ↗
TabMWPSaturated69.3%
25
2026-06-11independentSource ↗
SWE-bench VerifiedSaturated60.1%
25
2026-06-10independentSource ↗
MMLU-ReduxSaturated79.4%
25
2026-06-10independentSource ↗
SWE-benchDeprecated52.4%
10
2026-06-09independentSource ↗
MGSMNearing Saturation71.5%
65
2026-06-09independentSource ↗
TruthfulQASaturated71.3%
25
2026-06-08independentSource ↗
AGIEvalSaturated67.6%
25
2026-06-08independentSource ↗
SuperGLUESaturated80.2%
25
2026-06-07independentSource ↗
GSM-HardDeprecated72.3%
10
2026-06-07independentSource ↗
MT-BenchNearing Saturation7.3%
75
2026-06-06independentSource ↗
CodeXGLUEDeprecated72.4%
23
2026-06-06independentSource ↗
BIG-Bench HardSaturated77%
25
2026-06-06independentSource ↗
MBPP+Nearing Saturation78.5%
65
2026-06-05independentSource ↗
IFEvalDeprecated69.9%
25
2026-06-05independentSource ↗
WinoGrandeSaturated81.7%
28
2026-06-05independentSource ↗
GPQANearing Saturation71.3%
78
2026-06-05independentSource ↗
HumanEval+Saturated83.2%
25
2026-06-04independentSource ↗
CommonsenseQASaturated82.5%
28
2026-06-04independentSource ↗
MBPPSaturated81.6%
25
2026-06-03independentSource ↗
GSM8KSaturated81.3%
25
2026-06-03independentSource ↗
GLUESaturated84.9%
28
2026-06-03independentSource ↗
MMLUSaturated82.6%
25
2026-06-02independentSource ↗
ARC-AGISaturated73.9%
25
2026-06-02independentSource ↗
HumanEvalSaturated87.8%
25
2026-06-02independentSource ↗
LiveBench (Continuous)Active71.3%
94
2025-02-01independentSource ↗
Local Hardware Execution (Ollama)Hardware Compatible
# 1. Pull and execute model locally with Ollama
ollama run deepseek-r1-distill-llama-70b

# 2. Or invoke via local OpenAI-compatible endpoint
curl http://localhost:11434/v1/chat/completions \
  -H "Content-Type: application/json" \
  -d '{
    "model": "deepseek-r1-distill-llama-70b",
    "messages": [{"role": "user", "content": "Analyze reasoning chains on AIME 2026"}]
  }'

Evaluation & Sourcing Notes

Scores listed for DeepSeek: R1 Distill Llama 70B represent verified evaluations extracted from official research papers, independent evaluation suites (HELM, LMSYS, OpenCompass, LiveBench), and verified audit reports.

All benchmarks marked as saturated or deprecated reflect historical performance where the benchmark no longer provides active discriminative power.