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Llama 3.1 70B Instruct vs Nemotron 3.5 Lightning

Signal-by-Signal Comparison
SignalLlama 3.1 70B InstructDeltaNemotron 3.5 Lightning
Capabilities
17
-50
67
Benchmarks
72
+72
0
Pricing
99
0
100
Context window size
81
-5
86
Recency
0
-100
100
Output Capacity
63
-23
86
Overall Result
1 wins
of 6
5 wins
Nemotron 3.5 Lightning wins 5 of 6 signals

Score History

Score History (38 data points)
Llama 3.1 70B InstructNemotron 3.5 Lightning
Llama 3.1 70B Instruct

63.6

current score

Leader

Llama 3.1 70B Instruct

right now

Nemotron 3.5 Lightning

40

current score

LMMarketCap.com
Interactive Price Comparison
100Kcalls/month
1,000tokens (~1,333 chars)
500tokens (~667 chars)

Llama 3.1 70B Instruct

Meta

Per request$0.001080
Daily$3.60
Monthly$108.00
Annual$1296.00

Nemotron 3.5 Lightning

NVIDIA

Best Value
Per request$0.000170
Daily$0.57
Monthly$17.00
Annual$204.00

Nemotron 3.5 Lightning saves you $91.00/month

That's $1092.00/year compared to Llama 3.1 70B Instruct at your current usage level of 100K calls/month.

84% cheaper
Choose Nemotron 3.5 Lightning for cost optimization

Llama 3.1 70B Instruct pricing:
Input:$0.72/M tokens
Output:$0.72/M tokens
Nemotron 3.5 Lightning pricing:
Input:$0.07/M tokens
Output:$0.20/M tokens
Winner
Llama 3.1 70B Instruct

Meta

64

Composite Score

Nemotron 3.5 Lightning

NVIDIA

40

Composite Score

Signal-by-Signal Comparison
MetricLlama 3.1 70B InstructNemotron 3.5 LightningWinner
Overall Score
64
40
Llama 3.1 70B Instruct
Rank#155#274
Llama 3.1 70B Instruct
Quality Rank#155#274
Llama 3.1 70B Instruct
Adoption Rank#155#274
Llama 3.1 70B Instruct
Parameters70B----
Context Window131K262K
Nemotron 3.5 Lightning
Pricing$0.72/$0.72/M$0.07/$0.20/M--
Signal Scores
Capabilities
17
67
Nemotron 3.5 Lightning
Benchmarks
72
--
Llama 3.1 70B Instruct
Pricing
99
100
Nemotron 3.5 Lightning
Context window size
81
86
Nemotron 3.5 Lightning
Recency
0
100
Nemotron 3.5 Lightning
Output Capacity
63
86
Nemotron 3.5 Lightning
Benchmark Head-to-Head(13 benchmarks)
Llama 3.1: 0Nemotron 3.5: 0
Llama 3.1
Nemotron 3.5
Normalized 0-100%
MMLU
86%-
MMLU-Pro
62.8%-
GPQA Diamond
46.7%-
MATH-500
68%-
HumanEval
80.5%-
GSM8K
95.1%-
IFEval
83.6%-
BBH
81.2%-
ARC-Challenge
94.8%-
HellaSwag
94.8%-
Arena Elo
1198-
LiveBench
53.3%-
BigCodeBench
46.1%-
Benchmark Interpretation

Our score (0-100) is driven by benchmark performance (90%) from Arena Elo ratings, MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations. Capabilities and context window serve as tiebreakers (10%). Learn more about our methodology.

Llama 3.1 70B InstructCompetitive

Scores 64/100 (rank #155), placing it in the top 47% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Nemotron 3.5 LightningEntry Level

Scores 40/100 (rank #274), placing it in the top 6% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

Llama 3.1 70B Instruct has a 24-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.

When to Use Each Model

Choose Llama 3.1 70B Instruct when you need:

  • Self-hosted deployments where you need full control over the model

Choose Nemotron 3.5 Lightning when you need:

  • High-volume production workloads where API costs must be minimized
  • Processing long documents or large codebases (262K token context)
  • Agentic applications using tool/function calling
  • Step-by-step reasoning and chain-of-thought problem solving
  • Self-hosted deployments where you need full control over the model
Cost-Performance Analysis
Llama 3.1 70B Instruct
Input cost$0.72/M tokens
Output cost$0.72/M tokens
Cost per quality point$0.023
Est. monthly (1M tokens/day)$21.60
Nemotron 3.5 LightningBest Value
Input cost$0.07/M tokens
Output cost$0.20/M tokens
Cost per quality point$0.007
Est. monthly (1M tokens/day)$4.05

Nemotron 3.5 Lightning offers 81% better value per quality point. At 1M tokens/day, you'd spend $4.05/month with Nemotron 3.5 Lightning vs $21.60/month with Llama 3.1 70B Instruct - a $17.55 monthly difference.

Latency & Speed
Llama 3.1 70B InstructFaster
Speed score0/100
Nemotron 3.5 Lightning
Speed score0/100

Both models have comparable response speeds. For most applications, the latency difference is negligible.

When latency matters most: Interactive chatbots, IDE code completion, real-time translation, and user-facing applications where response time directly impacts experience. For batch processing, background summarization, or offline analysis, latency is less critical.

Example Use Cases

Code generation & review

Based on overall model capabilities and architecture for coding tasks like generating functions, debugging, and refactoring

Llama 3.1 70B Instruct

Customer support chatbot

Suitable for user-facing chat with competitive response times. Nemotron 3.5 Lightning also offers lower per-token costs for high-volume support

Llama 3.1 70B Instruct

Long document analysis

Larger context window (262K tokens) can process longer documents, contracts, and research papers in a single pass

Nemotron 3.5 Lightning

Batch data extraction

Lower output pricing ($0.20/M) reduces costs when processing thousands of records daily

Nemotron 3.5 Lightning

Creative writing & content

Higher overall composite score (64/100) correlates with better nuance, coherence, and style in long-form content

Llama 3.1 70B Instruct
Which Should You Choose?
Our recommendation:
Llama 3.1 70B Instruct

Llama 3.1 70B Instruct clearly outperforms Nemotron 3.5 Lightning with a significant 23.6-point lead. For most general use cases, Llama 3.1 70B Instruct is the stronger choice. However, Nemotron 3.5 Lightning may still excel in niche scenarios.

by Meta

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Reliability - Higher uptime and faster response speeds
  • Choose for Prototyping - Stronger community support and better developer experience
  • Choose for Production - Wider enterprise adoption and proven at scale

by NVIDIA

  • Choose for Cost - 81% lower pricing; better value at scale
Capability Comparison
CapabilityLlama 3.1 70B InstructNemotron 3.5 Lightning
Vision (Image Input)
Function Callingdiffers
Streaming
JSON Modediffers
Reasoningdiffers
Web Search
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

Llama 3.1 70B Instruct

Meta

$2.16
estimated monthly cost

Nemotron 3.5 Lightning

NVIDIA

Best Value
$0.3660
estimated monthly cost

Nemotron 3.5 Lightning saves you $1.79/month

That's 83% cheaper than Llama 3.1 70B Instruct at 1,000 tokens/request and 100 requests/day.

Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.

Parameters & Context
ParameterLlama 3.1 70B InstructNemotron 3.5 Lightning
Context Window131K262K
Max Output Tokens8,192235,929
Open SourceYesYes
CreatedJul 23, 2024Aug 11, 2026
Last updated: 34m ago

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