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GPT-5.6 Luna vs Llama 4 Maverick

GPT-5.6 Luna

OpenAI

89#32
vs
Signal-by-Signal Comparison
SignalGPT-5.6 LunaDeltaLlama 4 Maverick
Capabilities
100
+33
67
Benchmarks
88
+12
76
Pricing
99
0
99
Context window size
96
+0
96
Recency
100
+63
38
Output Capacity
82
+1
81
Overall Result
5 wins
of 6
1 wins
GPT-5.6 Luna wins 5 of 6 signals

Score History

Score History (30 data points)
GPT-5.6 LunaLlama 4 Maverick
GPT-5.6 Luna

89

current score

Leader

GPT-5.6 Luna

right now

Llama 4 Maverick

70.7

current score

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

GPT-5.6 Luna

OpenAI

Per request$0.000800
Daily$2.67
Monthly$80.00
Annual$960.00

Llama 4 Maverick

Meta

Best Value
Per request$0.000548
Daily$1.83
Monthly$54.80
Annual$657.60

Llama 4 Maverick saves you $25.20/month

That's $302.40/year compared to GPT-5.6 Luna at your current usage level of 100K calls/month.

32% cheaper
Choose Llama 4 Maverick for cost optimization

GPT-5.6 Luna pricing:
Input:$0.20/M tokens
Output:$1.20/M tokens
Llama 4 Maverick pricing:
Input:$0.20/M tokens
Output:$0.70/M tokens
Winner
GPT-5.6 Luna

OpenAI

89

Composite Score

Llama 4 Maverick

Meta

71

Composite Score

Signal-by-Signal Comparison
MetricGPT-5.6 LunaLlama 4 MaverickWinner
Overall Score
89
71
GPT-5.6 Luna
Rank#32#166
GPT-5.6 Luna
Quality Rank#32#166
GPT-5.6 Luna
Adoption Rank#32#166
GPT-5.6 Luna
Parameters------
Context Window1050K1049K
GPT-5.6 Luna
Pricing$0.20/$1.20/M$0.20/$0.70/M--
Signal Scores
Capabilities
100
67
GPT-5.6 Luna
Benchmarks
88
76
GPT-5.6 Luna
Pricing
99
99
Llama 4 Maverick
Context window size
96
96
GPT-5.6 Luna
Recency
100
38
GPT-5.6 Luna
Output Capacity
82
81
GPT-5.6 Luna
Benchmark Head-to-Head(12 benchmarks)
GPT-5.6 Luna: 10Llama 4: 0
GPT-5.6 Luna
Llama 4
Normalized 0-100%
MMLU
93%88%
MMLU-Pro
84.5%80.5%
GPQA Diamond
85%69.8%
MATH-500
92.5%81%
HumanEval
96.5%89.5%
SWE-bench Verified
75%-
IFEval
92%88%
BBH
90.5%84.5%
Arena Elo
14651325
LiveBench
76%62%
HLE
35%5.68%
BigCodeBench
-49.7%
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-5.6 LunaElite Tier

Scores 89/100 (rank #32), placing it in the top 89% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Llama 4 MaverickStrong Performer

Scores 71/100 (rank #166), placing it in the top 43% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

GPT-5.6 Luna has a 18-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-5.6 Luna when you need:

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

Choose Llama 4 Maverick 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-5.6 Luna
Input cost$0.20/M tokens
Output cost$1.20/M tokens
Cost per quality point$0.016
Est. monthly (1M tokens/day)$21.00
Llama 4 MaverickBest Value
Input cost$0.20/M tokens
Output cost$0.70/M tokens
Cost per quality point$0.013
Est. monthly (1M tokens/day)$13.44

Llama 4 Maverick offers 36% better value per quality point. At 1M tokens/day, you'd spend $13.44/month with Llama 4 Maverick vs $21.00/month with GPT-5.6 Luna - a $7.56 monthly difference.

Latency & Speed
GPT-5.6 LunaFaster
Speed score0/100
Llama 4 Maverick
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-5.6 Luna

Customer support chatbot

Suitable for user-facing chat with competitive response times. Llama 4 Maverick also offers lower per-token costs for high-volume support

GPT-5.6 Luna

Long document analysis

Larger context window (1050K tokens) can process longer documents, contracts, and research papers in a single pass

GPT-5.6 Luna

Batch data extraction

Lower output pricing ($0.70/M) reduces costs when processing thousands of records daily

Llama 4 Maverick

Creative writing & content

Higher overall composite score (89/100) correlates with better nuance, coherence, and style in long-form content

GPT-5.6 Luna

Image understanding & OCR

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

GPT-5.6 Luna
Which Should You Choose?
Our recommendation:
GPT-5.6 Luna

GPT-5.6 Luna clearly outperforms Llama 4 Maverick with a significant 18.299999999999997-point lead. For most general use cases, GPT-5.6 Luna is the stronger choice. However, Llama 4 Maverick may still excel in niche scenarios.

GPT-5.6 Luna
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 - 36% lower pricing; better value at scale
Capability Comparison
CapabilityGPT-5.6 LunaLlama 4 Maverick
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-5.6 Luna

OpenAI

$1.80
estimated monthly cost

Llama 4 Maverick

Meta

Best Value
$1.20
estimated monthly cost

Llama 4 Maverick saves you $0.6048/month

That's 34% cheaper than GPT-5.6 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-5.6 LunaLlama 4 Maverick
Context Window1.1M1.0M
Max Output Tokens128,000115,200
Open SourceNoYes
CreatedJul 9, 2026Apr 5, 2025
Last updated: 26m ago

相关对比

GPT-5.6 Luna vs Llama 4 Maverick (2026) | LM Market Cap