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GPT-6 Luna vs Llama 4 Scout

GPT-6 Luna

OpenAI

40#237
vs
Llama 4 Scout

Meta

60#215
Signal-by-Signal Comparison
SignalGPT-6 LunaDeltaLlama 4 Scout
Capabilities
100
+33
67
Pricing
100
0
100
Context window size
96
-1
97
Recency
100
+65
35
Output Capacity
82
+14
67
Benchmarks
0
-59
59
Overall Result
3 wins
of 6
3 wins
It's a tie - both models win 3 signals each

Score History

Score History (32 data points)
GPT-6 LunaLlama 4 Scout
GPT-6 Luna

40

current score

Leader

Llama 4 Scout

right now

Llama 4 Scout

60.2

current score

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

GPT-6 Luna

OpenAI

Per request$0.000350
Daily$1.17
Monthly$35.00
Annual$420.00

Llama 4 Scout

Meta

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

Llama 4 Scout saves you $10.00/month

That's $120.00/year compared to GPT-6 Luna at your current usage level of 100K calls/month.

29% cheaper
Choose Llama 4 Scout for cost optimization

GPT-6 Luna pricing:
Input:$0.10/M tokens
Output:$0.50/M tokens
Llama 4 Scout pricing:
Input:$0.10/M tokens
Output:$0.30/M tokens
GPT-6 Luna

OpenAI

40

Composite Score

Winner
Llama 4 Scout

Meta

60

Composite Score

Signal-by-Signal Comparison
MetricGPT-6 LunaLlama 4 ScoutWinner
Overall Score
40
60
Llama 4 Scout
Rank#237#215
Llama 4 Scout
Quality Rank#237#215
Llama 4 Scout
Adoption Rank#237#215
Llama 4 Scout
Parameters------
Context Window1050K1311K
Llama 4 Scout
Pricing$0.10/$0.50/M$0.10/$0.30/M--
Signal Scores
Capabilities
100
67
GPT-6 Luna
Pricing
100
100
Llama 4 Scout
Context window size
96
97
Llama 4 Scout
Recency
100
35
GPT-6 Luna
Output Capacity
82
67
GPT-6 Luna
Benchmarks--
59
Llama 4 Scout
Benchmark Head-to-Head(7 benchmarks)
GPT-6 Luna: 0Llama 4: 0
GPT-6 Luna
Llama 4
Normalized 0-100%
MMLU
-79.6%
MMLU-Pro
-74.3%
GPQA Diamond
-57.2%
MATH-500
-50.3%
HumanEval
-74.1%
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.

GPT-6 LunaEntry Level

Scores 40/100 (rank #237), placing it in the top 19% of all 290 models tracked.

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

Scores 60/100 (rank #215), placing it in the top 26% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

Llama 4 Scout has a 20-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-6 Luna 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-6 Luna
Input cost$0.10/M tokens
Output cost$0.50/M tokens
Cost per quality point$0.015
Est. monthly (1M tokens/day)$9.00
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 33% better value per quality point. At 1M tokens/day, you'd spend $6.00/month with Llama 4 Scout vs $9.00/month with GPT-6 Luna - a $3.00 monthly difference.

Latency & Speed
GPT-6 LunaFaster
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-6 Luna

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-6 Luna

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 (60/100) 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-6 Luna
Which Should You Choose?
Our recommendation:
Llama 4 Scout

Llama 4 Scout clearly outperforms GPT-6 Luna with a significant 20.200000000000003-point lead. For most general use cases, Llama 4 Scout is the stronger choice. However, GPT-6 Luna may still excel in niche scenarios.

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 - 33% lower pricing; better value at scale
Capability Comparison
CapabilityGPT-6 LunaLlama 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-6 Luna

OpenAI

$0.7800
estimated monthly cost

Llama 4 Scout

Meta

Best Value
$0.5400
estimated monthly cost

Llama 4 Scout saves you $0.2400/month

That's 31% cheaper than GPT-6 Luna 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-6 LunaLlama 4 Scout
Context Window1.1M1.3M
Max Output Tokens128,00016,384
Open SourceNoYes
CreatedSep 22, 2026Apr 5, 2025
Last updated: 38m ago

相关对比

GPT-6 Luna vs Llama 4 Scout (2026) | LM Market Cap