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Granite 4.1 8B vs Llama 4 Scout

vs
Llama 4 Scout

Meta

55#158
Signal-by-Signal Comparison
SignalGranite 4.1 8BDeltaLlama 4 Scout
Capabilities
50
-17
67
Benchmarks
54
+3
52
Pricing
100
+0
100
Context window size
73
-27
100
Recency
100
+52
48
Output Capacity
85
+15
70
Overall Result
4 wins
of 6
2 wins
Granite 4.1 8B wins 4 of 6 signals

Score History

Score History (22 data points)
Granite 4.1 8BLlama 4 Scout
Granite 4.1 8B

55

current score

Leader

Granite 4.1 8B

right now

Llama 4 Scout

54.9

current score

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

Granite 4.1 8B

IBM

Best Value
Per request$0.000100
Daily$0.33
Monthly$10.00
Annual$120.00

Llama 4 Scout

Meta

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

Granite 4.1 8B saves you $15.00/month

That's $180.00/year compared to Llama 4 Scout at your current usage level of 100K calls/month.

60% cheaper
Choose Granite 4.1 8B for cost optimization

Granite 4.1 8B pricing:
Input:$0.05/M tokens
Output:$0.10/M tokens
Llama 4 Scout pricing:
Input:$0.10/M tokens
Output:$0.30/M tokens
Winner
Granite 4.1 8B

IBM

55

Composite Score

Llama 4 Scout

Meta

55

Composite Score

Signal-by-Signal Comparison
MetricGranite 4.1 8BLlama 4 ScoutWinner
Overall Score
55
55
Granite 4.1 8B
Rank#157#158
Granite 4.1 8B
Quality Rank#157#158
Granite 4.1 8B
Adoption Rank#157#158
Granite 4.1 8B
Parameters8B----
Context Window131K10000K
Llama 4 Scout
Pricing$0.05/$0.10/M$0.10/$0.30/M--
Signal Scores
Capabilities
50
67
Llama 4 Scout
Benchmarks
54
52
Granite 4.1 8B
Pricing
100
100
Granite 4.1 8B
Context window size
73
100
Llama 4 Scout
Recency
100
48
Granite 4.1 8B
Output Capacity
85
70
Granite 4.1 8B
Benchmark Head-to-Head(9 benchmarks)
Granite 4.1: 0Llama 4: 0
Granite 4.1
Llama 4
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%
Arena Elo
1307-
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.

Granite 4.1 8BCompetitive

Scores 55/100 (rank #157), placing it in the top 46% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Llama 4 ScoutCompetitive

Scores 55/100 (rank #158), placing it in the top 46% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

With only a 0-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 Granite 4.1 8B 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 Llama 4 Scout when you need:

  • Processing long documents or large codebases (10000K token context)
  • Multimodal workflows that require image understanding
  • Self-hosted deployments where you need full control over the model
Cost-Performance Analysis
Granite 4.1 8BBest Value
Input cost$0.05/M tokens
Output cost$0.10/M tokens
Cost per quality point$0.003
Est. monthly (1M tokens/day)$2.25
Llama 4 Scout
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

Granite 4.1 8B offers 63% better value per quality point. At 1M tokens/day, you'd spend $2.25/month with Granite 4.1 8B vs $6.00/month with Llama 4 Scout - a $3.75 monthly difference.

Latency & Speed
Granite 4.1 8BFaster
Speed score0/100
Llama 4 Scout
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

Granite 4.1 8B

Customer support chatbot

Suitable for user-facing chat with competitive response times. Granite 4.1 8B also offers lower per-token costs for high-volume support

Granite 4.1 8B

Long document analysis

Larger context window (10000K tokens) can process longer documents, contracts, and research papers in a single pass

Llama 4 Scout

Batch data extraction

Lower output pricing ($0.10/M) reduces costs when processing thousands of records daily

Granite 4.1 8B

Creative writing & content

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

Granite 4.1 8B

Image understanding & OCR

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

Llama 4 Scout
Which Should You Choose?
Our recommendation:
Granite 4.1 8B

Granite 4.1 8B and Llama 4 Scout are extremely close in overall performance (only 0.10000000000000142 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.

Granite 4.1 8B
Recommended

by IBM

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Cost - 63% 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 Meta

Consider for specialized use cases.

Capability Comparison
CapabilityGranite 4.1 8BLlama 4 Scout
Vision (Image Input)differs
Function Calling
Streaming
JSON Mode
Reasoning
Web Search
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

Granite 4.1 8B

IBM

Best Value
$0.2100
estimated monthly cost

Llama 4 Scout

Meta

$0.5400
estimated monthly cost

Granite 4.1 8B saves you $0.3300/month

That's 61% cheaper than Llama 4 Scout 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
ParameterGranite 4.1 8BLlama 4 Scout
Context Window131K10M
Max Output Tokens131,07216,384
Open SourceYesYes
CreatedApr 30, 2026Apr 5, 2025
Last updated: 12m ago

相关对比

Granite 4.1 8B vs Llama 4 Scout (2026) | LM Market Cap