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Llama 4 Scout vs Nova Pro 1.0

Llama 4 Scout

Meta

55#217
vs
Nova Pro 1.0

Amazon

40#356
Signal-by-Signal Comparison
SignalLlama 4 ScoutDeltaNova Pro 1.0
Capabilities
67
+17
50
Benchmarks
52
+52
0
Pricing
100
+3
97
Context window size
97
+10
87
Recency
44
+22
22
Output Capacity
70
+8
62
Overall Result
6 wins
of 6
0 wins
Llama 4 Scout wins 6 of 6 signals

Score History

Score History (25 data points)
Llama 4 ScoutNova Pro 1.0
Llama 4 Scout

54.7

current score

Leader

Llama 4 Scout

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 4 Scout

Meta

Best Value
Per request$0.000250
Daily$0.83
Monthly$25.00
Annual$300.00

Nova Pro 1.0

Amazon

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

Llama 4 Scout saves you $215.00/month

That's $2580.00/year compared to Nova Pro 1.0 at your current usage level of 100K calls/month.

90% cheaper
Choose Llama 4 Scout for cost optimization

Llama 4 Scout pricing:
Input:$0.10/M tokens
Output:$0.30/M tokens
Nova Pro 1.0 pricing:
Input:$0.80/M tokens
Output:$3.20/M tokens
Winner
Llama 4 Scout

Meta

55

Composite Score

Nova Pro 1.0

Amazon

40

Composite Score

Signal-by-Signal Comparison
MetricLlama 4 ScoutNova Pro 1.0Winner
Overall Score
55
40
Llama 4 Scout
Rank#217#356
Llama 4 Scout
Quality Rank#217#356
Llama 4 Scout
Adoption Rank#217#356
Llama 4 Scout
Parameters------
Context Window1311K300K
Llama 4 Scout
Pricing$0.10/$0.30/M$0.80/$3.20/M--
Signal Scores
Capabilities
67
50
Llama 4 Scout
Benchmarks
52
--
Llama 4 Scout
Pricing
100
97
Llama 4 Scout
Context window size
97
87
Llama 4 Scout
Recency
44
22
Llama 4 Scout
Output Capacity
70
62
Llama 4 Scout
Benchmark Head-to-Head(8 benchmarks)
Llama 4: 0Nova Pro: 0
Llama 4
Nova Pro
Normalized 0-100%
MMLU
79.6%-
MMLU-Pro
74.3%-
GPQA Diamond
57.2%-
MATH-500
50.3%-
HumanEval
74.1%-
SWE-bench Verified
9.1%-
BBH
76%-
BigCodeBench
16.9%-
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 4 ScoutCompetitive

Scores 55/100 (rank #217), placing it in the top 26% 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

Llama 4 Scout has a 15-point advantage, which typically translates to noticeably better performance on complex reasoning, code generation, and multi-step tasks.

When to Use Each Model

Choose Llama 4 Scout when you need:

  • High-volume production workloads where API costs must be minimized
  • Processing long documents or large codebases (1311K token context)
  • Self-hosted deployments where you need full control over the model

Choose Nova Pro 1.0 when you need:

  • Budget-friendly applications with moderate quality requirements
Cost-Performance Analysis
Llama 4 ScoutBest Value
Input cost$0.10/M tokens
Output cost$0.30/M tokens
Cost per quality point$0.007
Est. monthly (1M tokens/day)$6.00
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 4 Scout offers 90% better value per quality point. At 1M tokens/day, you'd spend $6.00/month with Llama 4 Scout vs $60.00/month with Nova Pro 1.0 - a $54.00 monthly difference.

Latency & Speed
Llama 4 ScoutFaster
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 4 Scout

Customer support chatbot

Suitable for user-facing chat with competitive response times. Llama 4 Scout also offers lower per-token costs for high-volume support

Llama 4 Scout

Long document analysis

Larger context window (1311K tokens) can process longer documents, contracts, and research papers in a single pass

Llama 4 Scout

Batch data extraction

Lower output pricing ($0.30/M) reduces costs when processing thousands of records daily

Llama 4 Scout

Creative writing & content

Higher overall composite score (55/100) correlates with better nuance, coherence, and style in long-form content

Llama 4 Scout

Image understanding & OCR

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

Llama 4 Scout
Which Should You Choose?
Our recommendation:
Llama 4 Scout

Llama 4 Scout clearly outperforms Nova Pro 1.0 with a significant 14.700000000000003-point lead. For most general use cases, Llama 4 Scout is the stronger choice. However, Nova Pro 1.0 may still excel in niche scenarios.

Llama 4 Scout
Recommended

by Meta

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Cost - 90% 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 4 ScoutNova Pro 1.0
Vision (Image Input)
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 4 Scout

Meta

Best Value
$0.5400
estimated monthly cost

Nova Pro 1.0

Amazon

$5.28
estimated monthly cost

Llama 4 Scout saves you $4.74/month

That's 90% 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 4 ScoutNova Pro 1.0
Context Window1.3M300K
Max Output Tokens16,3845,120
Open SourceYesNo
CreatedApr 5, 2025Dec 5, 2024
Last updated: 34m ago

相关对比

Llama 4 Scout vs Nova Pro 1.0 (2026) | LM Market Cap