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GPT-5.5 vs Llama 4 Scout

GPT-5.5

OpenAI

93#9
vs
Llama 4 Scout

Meta

55#165
Signal-by-Signal Comparison
SignalGPT-5.5DeltaLlama 4 Scout
Capabilities
100
+33
67
Benchmarks
93
+41
52
Pricing
70
-30
100
Context window size
96
-1
97
Recency
100
+54
46
Output Capacity
85
+15
70
Overall Result
4 wins
of 6
2 wins
GPT-5.5 wins 4 of 6 signals

Score History

Score History (24 data points)
GPT-5.5Llama 4 Scout
GPT-5.5

92.7

current score

Leader

GPT-5.5

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-5.5

OpenAI

Per request$0.020000
Daily$66.67
Monthly$2000.00
Annual$24000.00

Llama 4 Scout

Meta

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

Llama 4 Scout saves you $1975.00/month

That's $23700.00/year compared to GPT-5.5 at your current usage level of 100K calls/month.

99% cheaper
Choose Llama 4 Scout for cost optimization

GPT-5.5 pricing:
Input:$5.00/M tokens
Output:$30.00/M tokens
Llama 4 Scout pricing:
Input:$0.10/M tokens
Output:$0.30/M tokens
Winner
GPT-5.5

OpenAI

93

Composite Score

Llama 4 Scout

Meta

55

Composite Score

Signal-by-Signal Comparison
MetricGPT-5.5Llama 4 ScoutWinner
Overall Score
93
55
GPT-5.5
Rank#9#165
GPT-5.5
Quality Rank#9#165
GPT-5.5
Adoption Rank#9#165
GPT-5.5
Parameters------
Context Window1050K1311K
Llama 4 Scout
Pricing$5.00/$30.00/M$0.10/$0.30/M--
Signal Scores
Capabilities
100
67
GPT-5.5
Benchmarks
93
52
GPT-5.5
Pricing
70
100
Llama 4 Scout
Context window size
96
97
Llama 4 Scout
Recency
100
46
GPT-5.5
Output Capacity
85
70
GPT-5.5
Benchmark Head-to-Head(10 benchmarks)
GPT-5.5: 3Llama 4: 0
GPT-5.5
Llama 4
Normalized 0-100%
MMLU
92.4%79.6%
MMLU-Pro
-74.3%
GPQA Diamond
93.6%57.2%
MATH-500
-50.3%
HumanEval
-74.1%
SWE-bench Verified
88.7%9.1%
BBH
-76%
Arena Elo
1475-
HLE
41.4%-
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-5.5Elite Tier

Scores 93/100 (rank #9), placing it in the top 97% 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-5.5 has a 38-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-5.5 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
  • Self-hosted deployments where you need full control over the model
Cost-Performance Analysis
GPT-5.5
Input cost$5.00/M tokens
Output cost$30.00/M tokens
Cost per quality point$0.378
Est. monthly (1M tokens/day)$525.00
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 99% better value per quality point. At 1M tokens/day, you'd spend $6.00/month with Llama 4 Scout vs $525.00/month with GPT-5.5 - a $519.00 monthly difference.

Latency & Speed
GPT-5.5Faster
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-5.5

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-5.5

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 (93/100) correlates with better nuance, coherence, and style in long-form content

GPT-5.5

Image understanding & OCR

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

GPT-5.5
Which Should You Choose?
Our recommendation:
GPT-5.5

GPT-5.5 clearly outperforms Llama 4 Scout with a significant 38-point lead. For most general use cases, GPT-5.5 is the stronger choice. However, Llama 4 Scout may still excel in niche scenarios.

GPT-5.5
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 - 99% lower pricing; better value at scale
Capability Comparison
CapabilityGPT-5.5Llama 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-5.5

OpenAI

$45.00
estimated monthly cost

Llama 4 Scout

Meta

Best Value
$0.5400
estimated monthly cost

Llama 4 Scout saves you $44.46/month

That's 99% cheaper than GPT-5.5 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-5.5Llama 4 Scout
Context Window1.1M1.3M
Max Output Tokens128,00016,384
Open SourceNoYes
CreatedApr 24, 2026Apr 5, 2025
Last updated: 58m ago

相关对比

GPT-5.5 vs Llama 4 Scout (2026) | LM Market Cap