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Llama 3.1 70B Instruct vs Nova 2 Lite

vs
Nova 2 Lite

Amazon

61#207
Signal-by-Signal Comparison
SignalLlama 3.1 70B InstructDeltaNova 2 Lite
Capabilities
50
-17
67
Benchmarks
72
+14
58
Pricing
100
+2
98
Context window size
81
-14
95
Recency
0
-87
88
Output Capacity
70
-10
80
Overall Result
2 wins
of 6
4 wins
Nova 2 Lite wins 4 of 6 signals

Score History

Score History (25 data points)
Llama 3.1 70B InstructNova 2 Lite
Llama 3.1 70B Instruct

65.3

current score

Leader

Llama 3.1 70B Instruct

right now

Nova 2 Lite

60.5

current score

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

Llama 3.1 70B Instruct

Meta

Best Value
Per request$0.000600
Daily$2.00
Monthly$60.00
Annual$720.00

Nova 2 Lite

Amazon

Per request$0.001550
Daily$5.17
Monthly$155.00
Annual$1860.00

Llama 3.1 70B Instruct saves you $95.00/month

That's $1140.00/year compared to Nova 2 Lite at your current usage level of 100K calls/month.

61% cheaper
Choose Llama 3.1 70B Instruct for cost optimization

Llama 3.1 70B Instruct pricing:
Input:$0.40/M tokens
Output:$0.40/M tokens
Nova 2 Lite pricing:
Input:$0.30/M tokens
Output:$2.50/M tokens
Winner
Llama 3.1 70B Instruct

Meta

65

Composite Score

Nova 2 Lite

Amazon

61

Composite Score

Signal-by-Signal Comparison
MetricLlama 3.1 70B InstructNova 2 LiteWinner
Overall Score
65
61
Llama 3.1 70B Instruct
Rank#190#207
Llama 3.1 70B Instruct
Quality Rank#190#207
Llama 3.1 70B Instruct
Adoption Rank#190#207
Llama 3.1 70B Instruct
Parameters70B----
Context Window131K1000K
Nova 2 Lite
Pricing$0.40/$0.40/M$0.30/$2.50/M--
Signal Scores
Capabilities
50
67
Nova 2 Lite
Benchmarks
72
58
Llama 3.1 70B Instruct
Pricing
100
98
Llama 3.1 70B Instruct
Context window size
81
95
Nova 2 Lite
Recency
0
88
Nova 2 Lite
Output Capacity
70
80
Nova 2 Lite
Benchmark Head-to-Head(13 benchmarks)
Llama 3.1: 0Nova 2: 1
Llama 3.1
Nova 2
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
11981337
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 65/100 (rank #190), placing it in the top 35% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Nova 2 LiteCompetitive

Scores 61/100 (rank #207), placing it in the top 29% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

With only a 5-point gap, these models are in the same performance tier. The practical difference in output quality is minimal - your choice should depend on pricing, latency requirements, and specific feature needs.

When to Use Each Model

Choose Llama 3.1 70B Instruct when you need:

  • High-volume production workloads where API costs must be minimized
  • Self-hosted deployments where you need full control over the model

Choose Nova 2 Lite when you need:

  • Processing long documents or large codebases (1000K token context)
  • Multimodal workflows that require image understanding
  • Step-by-step reasoning and chain-of-thought problem solving
Cost-Performance Analysis
Llama 3.1 70B InstructBest Value
Input cost$0.40/M tokens
Output cost$0.40/M tokens
Cost per quality point$0.012
Est. monthly (1M tokens/day)$12.00
Nova 2 Lite
Input cost$0.30/M tokens
Output cost$2.50/M tokens
Cost per quality point$0.046
Est. monthly (1M tokens/day)$42.00

Llama 3.1 70B Instruct offers 71% better value per quality point. At 1M tokens/day, you'd spend $12.00/month with Llama 3.1 70B Instruct vs $42.00/month with Nova 2 Lite - a $30.00 monthly difference.

Latency & Speed
Llama 3.1 70B InstructFaster
Speed score0/100
Nova 2 Lite
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. Llama 3.1 70B Instruct also offers lower per-token costs for high-volume support

Llama 3.1 70B Instruct

Long document analysis

Larger context window (1000K tokens) can process longer documents, contracts, and research papers in a single pass

Nova 2 Lite

Batch data extraction

Lower output pricing ($0.40/M) reduces costs when processing thousands of records daily

Llama 3.1 70B Instruct

Creative writing & content

Higher overall composite score (65/100) correlates with better nuance, coherence, and style in long-form content

Llama 3.1 70B Instruct

Image understanding & OCR

Supports vision input - can analyze screenshots, diagrams, photos, and scanned documents directly

Nova 2 Lite
Which Should You Choose?
Our recommendation:
Llama 3.1 70B Instruct

Llama 3.1 70B Instruct has a moderate advantage with a 4.799999999999997-point lead in composite score. It wins on more signal dimensions, but Nova 2 Lite has specific strengths that could make it the better choice for certain workflows.

by Meta

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Cost - 71% lower pricing; better value at scale
  • 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 Amazon

Consider for specialized use cases.

Capability Comparison
CapabilityLlama 3.1 70B InstructNova 2 Lite
Vision (Image Input)differs
Function Calling
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

Best Value
$1.20
estimated monthly cost

Nova 2 Lite

Amazon

$3.54
estimated monthly cost

Llama 3.1 70B Instruct saves you $2.34/month

That's 66% cheaper than Nova 2 Lite 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 InstructNova 2 Lite
Context Window131K1M
Max Output Tokens16,38465,535
Open SourceYesNo
CreatedJul 23, 2024Dec 2, 2025
Last updated: 39m ago

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