llmboard.aiAI model intelligence
Home

Model Rankings

OverallOpen ModelsAgentCodingReasoningMathKnowledgeInstruction FollowingTextVision
Image GenerationImage Editing
Video GenerationImage to VideoVideo Editing
Text to SpeechSpeech to Text
Embeddings

Efficiency

Chat Token PricingImage PricingVideo PricingAudio Pricing
Chat Speed & LatencyProvider Reliability

Benchmarks

GPQAMMLU-ProAIME 2025SWE-Bench VerifiedMMLUHumanity's Last ExamLiveCodeBenchMATHHumanEvalMMMU-Pro
All Benchmarks

Tools

Model Directory

Scoring & Data

Scoring & Data
1224 models729 benchmarks

Leaderboard Center

Overall RankingCodingCore BenchmarksPrice & ValueRuntime Performance

Modalities

All ModelsImage GenerationImage EditingVideo GenerationImage-to-VideoVideo EditingText-to-SpeechSpeech-to-TextEmbeddings

Data & Methods

Scoring MethodAll Benchmarks
llmboard.aiCopyright 2026 llmboard.ai

NVIDIA model product

Llama 3.1 Nemotron 70B

1 Nemotron 70B is a large language model customized by NVIDIA to improve the helpfulness of generated responses.

Updated Sep 8, 2026. Default version: Llama 3.1 Nemotron 70B Instruct

LLMBoard Score1.3Llama 3.1 Nemotron 70B Instruct
Coverage40%7 benchmark families
Context windowN/ATokens
Official input priceN/AOfficial price unavailable

On this page

  • Capability
  • Benchmarks
  • Arena
  • Pricing
  • Runtime
  • Specification
  • Versions
  • Similar models
  • About
  • FAQ

Llama 3.1 Nemotron 70B Capability Profile

This profile uses the model's current scored version. Arena ratings and prices are shown separately.

Llama 3.1 Nemotron 70B Instruct LLMBoard score breakdown

Llama 3.1 Nemotron 70B Benchmark Results

Benchmark scores for Llama 3.1 Nemotron 70B Instruct.

13 rows
Columns

Show columns

Sort by
Benchmark
Score
Rank
Participants
Percentile
Evidence
Evaluated
BenchmarkGSM8K ChatScore81.88%Rank01Participants1Percentile100.00%EvidenceCEvaluatedSep 8, 2026
BenchmarkInstruct HumanEvalScore73.84%Rank01Participants1Percentile100.00%EvidenceCEvaluatedSep 8, 2026
BenchmarkMMLU ChatScore80.58%Rank01Participants1Percentile100.00%EvidenceCEvaluatedSep 8, 2026
BenchmarkXLSum EnglishScore31.61%Rank01Participants1Percentile100.00%EvidenceCEvaluatedSep 8, 2026
BenchmarkWinograndeScore84.53%Rank05Participants22Percentile80.95%EvidenceCEvaluatedSep 8, 2026
BenchmarkTruthfulQAScore58.63%Rank07Participants18Percentile64.71%EvidenceCEvaluatedSep 8, 2026
BenchmarkHellaSwagScore85.58%Rank12Participants27Percentile57.69%EvidenceCEvaluatedSep 8, 2026
BenchmarkMT-BenchScore8.99%Rank12Participants12Percentile0.00%EvidenceCEvaluatedSep 8, 2026
BenchmarkARC-CScore69.20%Rank23Participants34Percentile33.33%EvidenceCEvaluatedSep 8, 2026
BenchmarkGSM8kScore91.43%Rank23Participants48Percentile53.19%EvidenceCEvaluatedSep 8, 2026
BenchmarkMMLUScore80.20%Rank61Participants101Percentile40.00%EvidenceCEvaluatedSep 8, 2026
BenchmarkLM Arena TextScore1,282.43 ratingRank172Participants210Percentile18.18%EvidenceAEvaluatedSep 2, 2026
BenchmarkLM Arena Text Style ControlScore1,298.64 ratingRank183Participants210Percentile12.92%EvidenceAEvaluatedSep 2, 2026

Llama 3.1 Nemotron 70B Arena Results

Preference and agent-evaluation results for the default version.

30 of 46 rows
Columns

Show columns

Sort by
Arena
Category
Rank
Rating / score
Votes
Observations
Result date
ArenatextCategoryindustry mathematicalRank157Rating / score1,287.27Votes874ObservationsN/AResult dateSep 2, 2026
ArenatextCategoryindustry medicine and healthcareRank158Rating / score1,300.42Votes392ObservationsN/AResult dateSep 2, 2026
ArenatextCategoryindustry legal and governmentRank161Rating / score1,303.02Votes489ObservationsN/AResult dateSep 2, 2026
ArenatextCategoryenglishRank162Rating / score1,314.86Votes3,714ObservationsN/AResult dateSep 2, 2026
ArenatextCategorycreative writingRank164Rating / score1,268.38Votes1,001ObservationsN/AResult dateSep 2, 2026
ArenatextCategorychineseRank165Rating / score1,262.89Votes723ObservationsN/AResult dateSep 2, 2026
Arenatext style controlCategoryindustry mathematicalRank165Rating / score1,299.94Votes874ObservationsN/AResult dateSep 2, 2026
ArenatextCategorymathRank166Rating / score1,271.01Votes1,041ObservationsN/AResult dateSep 2, 2026
ArenatextCategoryindustry business and management and financial operationsRank167Rating / score1,261.29Votes904ObservationsN/AResult dateSep 2, 2026
Arenatext style controlCategoryindustry medicine and healthcareRank168Rating / score1,335.85Votes392ObservationsN/AResult dateSep 2, 2026
ArenatextCategoryindustry life and physical and social scienceRank169Rating / score1,293.10Votes1,299ObservationsN/AResult dateSep 2, 2026
ArenatextCategoryexpertRank170Rating / score1,242.38Votes453ObservationsN/AResult dateSep 2, 2026
ArenatextCategoryexclude tiesRank171Rating / score1,210.76Votes4,748ObservationsN/AResult dateSep 2, 2026
ArenatextCategoryhard prompts englishRank171Rating / score1,282.72Votes1,136ObservationsN/AResult dateSep 2, 2026
ArenatextCategoryindustry entertainment and sports and mediaRank171Rating / score1,248.74Votes961ObservationsN/AResult dateSep 2, 2026
Arenatext style controlCategorymathRank171Rating / score1,278.71Votes1,041ObservationsN/AResult dateSep 2, 2026
ArenatextCategoryoverallRank172Rating / score1,282.43Votes7,140ObservationsN/AResult dateSep 2, 2026
Arenatext style controlCategoryindustry legal and governmentRank172Rating / score1,327.28Votes489ObservationsN/AResult dateSep 2, 2026
ArenatextCategorymulti turnRank173Rating / score1,275.55Votes1,227ObservationsN/AResult dateSep 2, 2026
Arenatext style controlCategorychineseRank173Rating / score1,304.66Votes723ObservationsN/AResult dateSep 2, 2026
ArenatextCategoryhard promptsRank174Rating / score1,266.25Votes1,953ObservationsN/AResult dateSep 2, 2026
ArenatextCategoryindustry software and it servicesRank174Rating / score1,283.68Votes2,081ObservationsN/AResult dateSep 2, 2026
Arenatext style controlCategoryenglishRank174Rating / score1,329.28Votes3,714ObservationsN/AResult dateSep 2, 2026
Arenatext style controlCategoryexpertRank174Rating / score1,295.33Votes453ObservationsN/AResult dateSep 2, 2026
ArenatextCategoryinstruction followingRank175Rating / score1,251.94Votes2,959ObservationsN/AResult dateSep 2, 2026
Arenatext style controlCategorycreative writingRank176Rating / score1,276.05Votes1,001ObservationsN/AResult dateSep 2, 2026
ArenatextCategorycodingRank178Rating / score1,272.09Votes1,312ObservationsN/AResult dateSep 2, 2026
Arenatext style controlCategoryhard prompts englishRank178Rating / score1,325.86Votes1,136ObservationsN/AResult dateSep 2, 2026
Arenatext style controlCategorymulti turnRank178Rating / score1,293.21Votes1,227ObservationsN/AResult dateSep 2, 2026
Arenatext style controlCategoryindustry business and management and financial operationsRank179Rating / score1,294.61Votes904ObservationsN/AResult dateSep 2, 2026

Llama 3.1 Nemotron 70B Pricing

Official vendor API pricing appears first, followed by individual provider offers.

Official API
N/A
Official provider
N/A
Lowest third-party
N/A
Tracked offerings
1
1 row
Columns

Show columns

Sort by
Provider
Provider model ID
Region
Input / 1M
Output / 1M
Context
Updated
ProviderNvidiaProvider model IDnvidia/llama-3.1-nemotron-70b-instructRegionglobalInput / 1MN/AOutput / 1MN/AContext128KUpdatedSep 8, 2026

Official prices use only the vendor's configured official Provider and positive standard USD PAYG rates. Third-party offers remain explicitly labeled.

Llama 3.1 Nemotron 70B Runtime Performance

Provider-specific output speed and catalog latency for Llama 3.1 Nemotron 70B Instruct. Runtime does not affect the capability score.

No runtime data

No provider-specific speed or latency record is linked to the default version yet.

Output Speed is generated output tokens received per second. Catalog latency is reported separately from observed provider TTFT.

Llama 3.1 Nemotron 70B Specifications

Technical details for the model's default version.

Version
Llama 3.1 Nemotron 70B Instruct
Released
Oct 1, 2024
Knowledge cutoff
Dec 1, 2023
Parameters
70B
Context window
N/A
Max output
N/A
Inputs
text
Outputs
text
Open weights
Yes
License
Llama 3.1 Community License

Llama 3.1 Nemotron 70B Versions

Available versions of this model. The score column identifies the version used in the overall ranking.

1 row
Columns

Show columns

Sort by
Version
Released
LLMBoard
Parameters
Context
Max output
Open weights
License
VersionLlama 3.1 Nemotron 70B InstructReleasedOct 1, 2024LLMBoard1.28Parameters70BContextN/AMax outputN/AOpen weightsYesLicenseLlama 3.1 Community License

Models similar to Llama 3.1 Nemotron 70B

Recommendations prioritize the same model type and family, then the closest LLMBoard score.

#247+7.26
NV

Llama 3.1 Nemotron Nano 8B

NVIDIA

8.54 LLMBoard

Details
#208+20.25
NV

Llama 3.3 Nemotron Super 49B

NVIDIA

21.53 LLMBoard

Details
#185+28.14
NV

Llama 3.1 Nemotron Ultra 253B

NVIDIA

29.42 LLMBoard

Details
#178+30.08
NV

Nemotron Nano 9B

NVIDIA

31.36 LLMBoard

Details
#168+32.91
NV

Nemotron 3 Nano

NVIDIA

34.19 LLMBoard

Details
#155+35.99
NV

Nemotron 3.5 Lightning

NVIDIA

37.27 LLMBoard

Details

What is Llama 3.1 Nemotron 70B?

Key information about Llama 3.1 Nemotron 70B and its available data.

1 70B Instruct. It was trained using RLHF (REINFORCE) with HelpSteer2-Preference prompts.

Data as of 2026-09-08.

FAQ

Common questions about Llama 3.1 Nemotron 70B.

When was Llama 3.1 Nemotron 70B released?

Llama 3.1 Nemotron 70B's default version was released on Oct 1, 2024.

How much does Llama 3.1 Nemotron 70B cost?

No official standard PAYG price is currently available for Llama 3.1 Nemotron 70B.

Who created Llama 3.1 Nemotron 70B?

Llama 3.1 Nemotron 70B was created by NVIDIA.

What is the context window for Llama 3.1 Nemotron 70B?

A context window is not available for the default version.

Is Llama 3.1 Nemotron 70B open weight?

Yes. The default version is marked as open weight under Llama 3.1 Community License.

How many API providers offer Llama 3.1 Nemotron 70B?

1 provider offerings are linked to the default version.

Browse runtime rankings