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GPT-5.2 vs Llama 4 Scout

GPT-5.2

OpenAI

91#19
vs
Llama 4 Scout

Meta

55#165
Signal-by-Signal Comparison
SignalGPT-5.2DeltaLlama 4 Scout
Capabilities
100
+33
67
Benchmarks
89
+38
52
Pricing
86
-14
100
Context window size
89
-8
97
Recency
91
+45
46
Output Capacity
85
+15
70
Overall Result
4 wins
of 6
2 wins
GPT-5.2 wins 4 of 6 signals

Score History

Score History (24 data points)
GPT-5.2Llama 4 Scout
GPT-5.2

90.5

current score

Leader

GPT-5.2

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-5.2

OpenAI

Per request$0.008750
Daily$29.17
Monthly$875.00
Annual$10500.00

Llama 4 Scout

Meta

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

Llama 4 Scout saves you $850.00/month

That's $10200.00/year compared to GPT-5.2 at your current usage level of 100K calls/month.

97% cheaper
Choose Llama 4 Scout for cost optimization

GPT-5.2 pricing:
Input:$1.75/M tokens
Output:$14.00/M tokens
Llama 4 Scout pricing:
Input:$0.10/M tokens
Output:$0.30/M tokens
Winner
GPT-5.2

OpenAI

91

Composite Score

Llama 4 Scout

Meta

55

Composite Score

Signal-by-Signal Comparison
MetricGPT-5.2Llama 4 ScoutWinner
Overall Score
91
55
GPT-5.2
Rank#19#165
GPT-5.2
Quality Rank#19#165
GPT-5.2
Adoption Rank#19#165
GPT-5.2
Parameters------
Context Window400K1311K
Llama 4 Scout
Pricing$1.75/$14.00/M$0.10/$0.30/M--
Signal Scores
Capabilities
100
67
GPT-5.2
Benchmarks
89
52
GPT-5.2
Pricing
86
100
Llama 4 Scout
Context window size
89
97
Llama 4 Scout
Recency
91
46
GPT-5.2
Output Capacity
85
70
GPT-5.2
Benchmark Head-to-Head(12 benchmarks)
GPT-5.2: 7Llama 4: 0
GPT-5.2
Llama 4
Normalized 0-100%
MMLU
93.5%79.6%
MMLU-Pro
86%74.3%
GPQA Diamond
87%57.2%
MATH-500
94%50.3%
HumanEval
97%74.1%
SWE-bench Verified
78%9.1%
IFEval
93%-
BBH
91.5%76%
Arena Elo
1481-
LiveBench
77.5%-
HLE
37%-
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.

GPT-5.2Elite Tier

Scores 91/100 (rank #19), placing it in the top 94% of all 290 models tracked.

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

Scores 55/100 (rank #165), placing it in the top 43% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

GPT-5.2 has a 36-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.

When to Use Each Model

Choose GPT-5.2 when you need:

  • Step-by-step reasoning and chain-of-thought problem solving

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
Cost-Performance Analysis
GPT-5.2
Input cost$1.75/M tokens
Output cost$14.00/M tokens
Cost per quality point$0.174
Est. monthly (1M tokens/day)$236.25
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 97% better value per quality point. At 1M tokens/day, you'd spend $6.00/month with Llama 4 Scout vs $236.25/month with GPT-5.2 - a $230.25 monthly difference.

Latency & Speed
GPT-5.2Faster
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-5.2

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-5.2

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 (91/100) correlates with better nuance, coherence, and style in long-form content

GPT-5.2

Image understanding & OCR

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

GPT-5.2
Which Should You Choose?
Our recommendation:
GPT-5.2

GPT-5.2 clearly outperforms Llama 4 Scout with a significant 35.8-point lead. For most general use cases, GPT-5.2 is the stronger choice. However, Llama 4 Scout may still excel in niche scenarios.

GPT-5.2
Recommended

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

by Meta

  • Choose for Cost - 97% lower pricing; better value at scale
Capability Comparison
CapabilityGPT-5.2Llama 4 Scout
Vision (Image Input)
Function Calling
Streaming
JSON Mode
Reasoningdiffers
Web Searchdiffers
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

GPT-5.2

OpenAI

$19.95
estimated monthly cost

Llama 4 Scout

Meta

Best Value
$0.5400
estimated monthly cost

Llama 4 Scout saves you $19.41/month

That's 97% cheaper than GPT-5.2 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-5.2Llama 4 Scout
Context Window400K1.3M
Max Output Tokens128,00016,384
Open SourceNoYes
CreatedDec 10, 2025Apr 5, 2025
Last updated: 57m ago

相关对比

GPT-5.2 vs Llama 4 Scout (2026) | LM Market Cap