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Llama 3.1 70B Instruct vs Nova Pro 1.0

vs
Nova Pro 1.0

Amazon

40#410
Signal-by-Signal Comparison
SignalLlama 3.1 70B InstructDeltaNova Pro 1.0
Capabilities
17
-33
50
Benchmarks
72
+72
0
Pricing
99
+3
97
Context window size
81
-6
87
Recency
0
-5
5
Output Capacity
63
+3
59
Overall Result
3 wins
of 6
3 wins
It's a tie - both models win 3 signals each

Score History

Score History (38 data points)
Llama 3.1 70B InstructNova Pro 1.0
Llama 3.1 70B Instruct

63.6

current score

Leader

Llama 3.1 70B Instruct

right now

Nova Pro 1.0

40

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$0.001080
Daily$3.60
Monthly$108.00
Annual$1296.00

Nova Pro 1.0

Amazon

Per request$0.002400
Daily$8.00
Monthly$240.00
Annual$2880.00

Llama 3.1 70B Instruct saves you $132.00/month

That's $1584.00/year compared to Nova Pro 1.0 at your current usage level of 100K calls/month.

55% cheaper
Choose Llama 3.1 70B Instruct for cost optimization

Llama 3.1 70B Instruct pricing:
Input:$0.72/M tokens
Output:$0.72/M tokens
Nova Pro 1.0 pricing:
Input:$0.80/M tokens
Output:$3.20/M tokens
Winner
Llama 3.1 70B Instruct

Meta

64

Composite Score

Nova Pro 1.0

Amazon

40

Composite Score

Signal-by-Signal Comparison
MetricLlama 3.1 70B InstructNova Pro 1.0Winner
Overall Score
64
40
Llama 3.1 70B Instruct
Rank#155#410
Llama 3.1 70B Instruct
Quality Rank#155#410
Llama 3.1 70B Instruct
Adoption Rank#155#410
Llama 3.1 70B Instruct
Parameters70B----
Context Window131K300K
Nova Pro 1.0
Pricing$0.72/$0.72/M$0.80/$3.20/M--
Signal Scores
Capabilities
17
50
Nova Pro 1.0
Benchmarks
72
--
Llama 3.1 70B Instruct
Pricing
99
97
Llama 3.1 70B Instruct
Context window size
81
87
Nova Pro 1.0
Recency
0
5
Nova Pro 1.0
Output Capacity
63
59
Llama 3.1 70B Instruct
Benchmark Head-to-Head(13 benchmarks)
Llama 3.1: 0Nova Pro: 0
Llama 3.1
Nova Pro
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
Nova Pro 1.0Entry Level

Scores 40/100 (rank #410), placing it in the top -41% 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:

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

Choose Nova Pro 1.0 when you need:

  • Processing long documents or large codebases (300K token context)
  • Multimodal workflows that require image understanding
  • Agentic applications using tool/function calling
Cost-Performance Analysis
Llama 3.1 70B InstructBest Value
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
Nova Pro 1.0
Input cost$0.80/M tokens
Output cost$3.20/M tokens
Cost per quality point$0.100
Est. monthly (1M tokens/day)$60.00

Llama 3.1 70B Instruct offers 64% better value per quality point. At 1M tokens/day, you'd spend $21.60/month with Llama 3.1 70B Instruct vs $60.00/month with Nova Pro 1.0 - a $38.40 monthly difference.

Latency & Speed
Llama 3.1 70B InstructFaster
Speed score0/100
Nova Pro 1.0
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 (300K tokens) can process longer documents, contracts, and research papers in a single pass

Nova Pro 1.0

Batch data extraction

Lower output pricing ($0.72/M) reduces costs when processing thousands of records daily

Llama 3.1 70B Instruct

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

Image understanding & OCR

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

Nova Pro 1.0
Which Should You Choose?
Our recommendation:
Llama 3.1 70B Instruct

Llama 3.1 70B Instruct clearly outperforms Nova Pro 1.0 with a significant 23.6-point lead. For most general use cases, Llama 3.1 70B Instruct is the stronger choice. However, Nova Pro 1.0 may still excel in niche scenarios.

by Meta

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Cost - 64% 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 Pro 1.0
Vision (Image Input)differs
Function Callingdiffers
Streaming
JSON Mode
Reasoning
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
$2.16
estimated monthly cost

Nova Pro 1.0

Amazon

$5.28
estimated monthly cost

Llama 3.1 70B Instruct saves you $3.12/month

That's 59% cheaper than Nova Pro 1.0 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 Pro 1.0
Context Window131K300K
Max Output Tokens8,1925,120
Open SourceYesNo
CreatedJul 23, 2024Dec 5, 2024
Last updated: 5m ago

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