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GPT-5.6 Luna vs Grok 4.3

GPT-5.6 Luna

OpenAI

89#32
vs
Grok 4.3

xAI

89#44
Signal-by-Signal Comparison
SignalGPT-5.6 LunaDeltaGrok 4.3
Capabilities
100
--
100
Benchmarks
88
+6
81
Pricing
99
+1
98
Context window size
96
+0
95
Recency
100
--
100
Output Capacity
82
-14
95
Overall Result
3 wins
of 6
1 wins
GPT-5.6 Luna wins 3 of 6 signals

Score History

Score History (11 data points)
GPT-5.6 LunaGrok 4.3
GPT-5.6 Luna

89

current score

Leader

GPT-5.6 Luna

right now

Grok 4.3

88.8

current score

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

GPT-5.6 Luna

OpenAI

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

Grok 4.3

xAI

Per request$0.002500
Daily$8.33
Monthly$250.00
Annual$3000.00

GPT-5.6 Luna saves you $170.00/month

That's $2040.00/year compared to Grok 4.3 at your current usage level of 100K calls/month.

68% cheaper
Choose GPT-5.6 Luna for cost optimization

GPT-5.6 Luna pricing:
Input:$0.20/M tokens
Output:$1.20/M tokens
Grok 4.3 pricing:
Input:$1.25/M tokens
Output:$2.50/M tokens
Winner
GPT-5.6 Luna

OpenAI

89

Composite Score

Grok 4.3

xAI

89

Composite Score

Signal-by-Signal Comparison
MetricGPT-5.6 LunaGrok 4.3Winner
Overall Score
89
89
GPT-5.6 Luna
Rank#32#44
GPT-5.6 Luna
Quality Rank#32#44
GPT-5.6 Luna
Adoption Rank#32#44
GPT-5.6 Luna
Parameters------
Context Window1050K1000K
GPT-5.6 Luna
Pricing$0.20/$1.20/M$1.25/$2.50/M--
Signal Scores
Capabilities
100
100
GPT-5.6 Luna
Benchmarks
88
81
GPT-5.6 Luna
Pricing
99
98
GPT-5.6 Luna
Context window size
96
95
GPT-5.6 Luna
Recency
100
100
GPT-5.6 Luna
Output Capacity
82
95
Grok 4.3
Benchmark Head-to-Head(11 benchmarks)
GPT-5.6 Luna: 1Grok 4.3: 1
GPT-5.6 Luna
Grok 4.3
Normalized 0-100%
MMLU
93%-
MMLU-Pro
84.5%-
GPQA Diamond
85%90%
MATH-500
92.5%-
HumanEval
96.5%-
SWE-bench Verified
75%-
IFEval
92%-
BBH
90.5%-
Arena Elo
14651446
LiveBench
76%-
HLE
35%-
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
Grok 4.3Elite Tier

Scores 89/100 (rank #44), placing it in the top 85% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

With only a 0-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-5.6 Luna when you need:

  • High-volume production workloads where API costs must be minimized
  • Step-by-step reasoning and chain-of-thought problem solving

Choose Grok 4.3 when you need:

  • Step-by-step reasoning and chain-of-thought problem solving
Cost-Performance Analysis
GPT-5.6 LunaBest Value
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
Grok 4.3
Input cost$1.25/M tokens
Output cost$2.50/M tokens
Cost per quality point$0.042
Est. monthly (1M tokens/day)$56.25

GPT-5.6 Luna offers 63% better value per quality point. At 1M tokens/day, you'd spend $21.00/month with GPT-5.6 Luna vs $56.25/month with Grok 4.3 - a $35.25 monthly difference.

Latency & Speed
GPT-5.6 LunaFaster
Speed score0/100
Grok 4.3
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. GPT-5.6 Luna 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 ($1.20/M) reduces costs when processing thousands of records daily

GPT-5.6 Luna

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 and Grok 4.3 are extremely close in overall performance (only 0.20000000000000284 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.

GPT-5.6 Luna
Recommended

by OpenAI

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Cost - 63% lower pricing; better value at scale
  • 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 xAI

Consider for specialized use cases.

Capability Comparison
CapabilityGPT-5.6 LunaGrok 4.3
Vision (Image Input)
Function Calling
Streaming
JSON Mode
Reasoning
Web Search
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

GPT-5.6 Luna

OpenAI

Best Value
$1.80
estimated monthly cost

Grok 4.3

xAI

$5.25
estimated monthly cost

GPT-5.6 Luna saves you $3.45/month

That's 66% cheaper than Grok 4.3 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 LunaGrok 4.3
Context Window1.1M1M
Max Output Tokens128,000900,000
Open SourceNoNo
CreatedJul 9, 2026Apr 30, 2026
Last updated: 54m ago

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