Skip to content

Llama 3.1 8B Instruct vs Nova Pro 1.0

vs
Nova Pro 1.0

Amazon

40#356
Signal-by-Signal Comparison
SignalLlama 3.1 8B InstructDeltaNova Pro 1.0
Capabilities
50
--
50
Benchmarks
44
+44
0
Pricing
100
+3
97
Context window size
81
-6
87
Recency
0
-22
22
Output Capacity
85
+23
62
Overall Result
3 wins
of 6
2 wins
Llama 3.1 8B Instruct wins 3 of 6 signals

Score History

Score History (25 data points)
Llama 3.1 8B InstructNova Pro 1.0
Llama 3.1 8B Instruct

44.5

current score

Leader

Llama 3.1 8B 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 8B Instruct

Meta

Best Value
Per request$0.000090
Daily$0.30
Monthly$9.00
Annual$108.00

Nova Pro 1.0

Amazon

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

Llama 3.1 8B Instruct saves you $231.00/month

That's $2772.00/year compared to Nova Pro 1.0 at your current usage level of 100K calls/month.

96% cheaper
Choose Llama 3.1 8B Instruct for cost optimization

Llama 3.1 8B Instruct pricing:
Input:$0.05/M tokens
Output:$0.08/M tokens
Nova Pro 1.0 pricing:
Input:$0.80/M tokens
Output:$3.20/M tokens
Winner
Llama 3.1 8B Instruct

Meta

45

Composite Score

Nova Pro 1.0

Amazon

40

Composite Score

Signal-by-Signal Comparison
MetricLlama 3.1 8B InstructNova Pro 1.0Winner
Overall Score
45
40
Llama 3.1 8B Instruct
Rank#230#356
Llama 3.1 8B Instruct
Quality Rank#230#356
Llama 3.1 8B Instruct
Adoption Rank#230#356
Llama 3.1 8B Instruct
Parameters8B----
Context Window131K300K
Nova Pro 1.0
Pricing$0.05/$0.08/M$0.80/$3.20/M--
Signal Scores
Capabilities
50
50
Llama 3.1 8B Instruct
Benchmarks
44
--
Llama 3.1 8B Instruct
Pricing
100
97
Llama 3.1 8B Instruct
Context window size
81
87
Nova Pro 1.0
Recency
0
22
Nova Pro 1.0
Output Capacity
85
62
Llama 3.1 8B Instruct
Benchmark Head-to-Head(6 benchmarks)
Llama 3.1: 0Nova Pro: 0
Llama 3.1
Nova Pro
Normalized 0-100%
MMLU-Pro
30.37%-
HumanEval
69.5%-
IFEval
72.05%-
BBH
30.85%-
Arena Elo
1211-
BigCodeBench
32.8%-
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 8B InstructEntry Level

Scores 45/100 (rank #230), placing it in the top 21% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Nova Pro 1.0Entry Level

Scores 40/100 (rank #356), placing it in the top -22% 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 8B 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
Cost-Performance Analysis
Llama 3.1 8B InstructBest Value
Input cost$0.05/M tokens
Output cost$0.08/M tokens
Cost per quality point$0.003
Est. monthly (1M tokens/day)$1.95
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 8B Instruct offers 97% better value per quality point. At 1M tokens/day, you'd spend $1.95/month with Llama 3.1 8B Instruct vs $60.00/month with Nova Pro 1.0 - a $58.05 monthly difference.

Latency & Speed
Llama 3.1 8B 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 8B Instruct

Customer support chatbot

Suitable for user-facing chat with competitive response times. Llama 3.1 8B Instruct also offers lower per-token costs for high-volume support

Llama 3.1 8B 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 ($0.08/M) reduces costs when processing thousands of records daily

Llama 3.1 8B Instruct

Creative writing & content

Higher overall composite score (45/100) correlates with better nuance, coherence, and style in long-form content

Llama 3.1 8B 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 8B Instruct

Llama 3.1 8B Instruct has a moderate advantage with a 4.5-point lead in composite score. It wins on more signal dimensions, but Nova Pro 1.0 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 - 97% 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 8B InstructNova Pro 1.0
Vision (Image Input)differs
Function Calling
Streaming
JSON Modediffers
Reasoning
Web Search
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

Llama 3.1 8B Instruct

Meta

Best Value
$0.1860
estimated monthly cost

Nova Pro 1.0

Amazon

$5.28
estimated monthly cost

Llama 3.1 8B Instruct saves you $5.09/month

That's 96% 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 8B InstructNova Pro 1.0
Context Window131K300K
Max Output Tokens131,0725,120
Open SourceYesNo
CreatedJul 23, 2024Dec 5, 2024
Last updated: 40m ago

相关对比

Llama 3.1 8B Instruct vs Nova Pro 1.0 (2026) | LM Market Cap