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GPT-4.1 Mini vs Llama 4 Scout

GPT-4.1 Mini

OpenAI

54#221
vs
Llama 4 Scout

Meta

55#217
Signal-by-Signal Comparison
SignalGPT-4.1 MiniDeltaLlama 4 Scout
Capabilities
83
+17
67
Benchmarks
51
0
52
Pricing
98
-1
100
Context window size
96
-2
97
Recency
45
+2
44
Output Capacity
75
+5
70
Overall Result
3 wins
of 6
3 wins
It's a tie - both models win 3 signals each

Score History

Score History (25 data points)
GPT-4.1 MiniLlama 4 Scout
GPT-4.1 Mini

53.6

current score

Leader

Llama 4 Scout

right now

Llama 4 Scout

54.7

current score

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

GPT-4.1 Mini

OpenAI

Per request$0.001200
Daily$4.00
Monthly$120.00
Annual$1440.00

Llama 4 Scout

Meta

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

Llama 4 Scout saves you $95.00/month

That's $1140.00/year compared to GPT-4.1 Mini at your current usage level of 100K calls/month.

79% cheaper
Choose Llama 4 Scout for cost optimization

GPT-4.1 Mini pricing:
Input:$0.40/M tokens
Output:$1.60/M tokens
Llama 4 Scout pricing:
Input:$0.10/M tokens
Output:$0.30/M tokens
GPT-4.1 Mini

OpenAI

54

Composite Score

Winner
Llama 4 Scout

Meta

55

Composite Score

Signal-by-Signal Comparison
MetricGPT-4.1 MiniLlama 4 ScoutWinner
Overall Score
54
55
Llama 4 Scout
Rank#221#217
Llama 4 Scout
Quality Rank#221#217
Llama 4 Scout
Adoption Rank#221#217
Llama 4 Scout
Parameters------
Context Window1048K1311K
Llama 4 Scout
Pricing$0.40/$1.60/M$0.10/$0.30/M--
Signal Scores
Capabilities
83
67
GPT-4.1 Mini
Benchmarks
51
52
Llama 4 Scout
Pricing
98
100
Llama 4 Scout
Context window size
96
97
Llama 4 Scout
Recency
45
44
GPT-4.1 Mini
Output Capacity
75
70
GPT-4.1 Mini
Benchmark Head-to-Head(9 benchmarks)
GPT-4.1 Mini: 2Llama 4: 0
GPT-4.1 Mini
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
23.9%9.1%
BBH
-76%
Arena Elo
1383-
BigCodeBench
48.9%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.

GPT-4.1 MiniCompetitive

Scores 54/100 (rank #221), placing it in the top 24% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
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

With only a 1-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 GPT-4.1 Mini when you need:

  • Budget-friendly applications with moderate quality requirements

Choose Llama 4 Scout when you need:

  • High-volume production workloads where API costs must be minimized
  • Self-hosted deployments where you need full control over the model
Cost-Performance Analysis
GPT-4.1 Mini
Input cost$0.40/M tokens
Output cost$1.60/M tokens
Cost per quality point$0.037
Est. monthly (1M tokens/day)$30.00
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

Llama 4 Scout offers 80% better value per quality point. At 1M tokens/day, you'd spend $6.00/month with Llama 4 Scout vs $30.00/month with GPT-4.1 Mini - a $24.00 monthly difference.

Latency & Speed
GPT-4.1 MiniFaster
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

GPT-4.1 Mini

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

GPT-4.1 Mini

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

GPT-4.1 Mini
Which Should You Choose?
Our recommendation:
Llama 4 Scout

GPT-4.1 Mini and Llama 4 Scout are extremely close in overall performance (only 1.1000000000000014 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.

by OpenAI

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • 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
Llama 4 Scout
Recommended

by Meta

  • Choose for Cost - 80% lower pricing; better value at scale
Capability Comparison
CapabilityGPT-4.1 MiniLlama 4 Scout
Vision (Image Input)
Function Calling
Streaming
JSON Mode
Reasoning
Web Searchdiffers
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

GPT-4.1 Mini

OpenAI

$2.64
estimated monthly cost

Llama 4 Scout

Meta

Best Value
$0.5400
estimated monthly cost

Llama 4 Scout saves you $2.10/month

That's 80% cheaper than GPT-4.1 Mini 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
ParameterGPT-4.1 MiniLlama 4 Scout
Context Window1.0M1.3M
Max Output Tokens32,76816,384
Open SourceNoYes
CreatedApr 14, 2025Apr 5, 2025
Last updated: 39m ago

相关对比

GPT-4.1 Mini vs Llama 4 Scout (2026) | LM Market Cap