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GPT-5.6 Luna vs Grok Build 0.1

GPT-5.6 Luna

OpenAI

89#22
vs
Signal-by-Signal Comparison
SignalGPT-5.6 LunaDeltaGrok Build 0.1
Capabilities
100
--
100
Benchmarks
88
+88
0
Pricing
99
+1
98
Context window size
96
+10
86
Recency
100
--
100
Output Capacity
85
+65
20
Overall Result
4 wins
of 6
0 wins
GPT-5.6 Luna wins 4 of 6 signals

Score History

Score History (5 data points)
GPT-5.6 LunaGrok Build 0.1
GPT-5.6 Luna

89

current score

Leader

GPT-5.6 Luna

right now

Grok Build 0.1

40

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$0.000400
Daily$1.33
Monthly$40.00
Annual$480.00

Grok Build 0.1

xAI

Per request$0.002000
Daily$6.67
Monthly$200.00
Annual$2400.00

GPT-5.6 Luna saves you $160.00/month

That's $1920.00/year compared to Grok Build 0.1 at your current usage level of 100K calls/month.

80% cheaper
Choose GPT-5.6 Luna for cost optimization

GPT-5.6 Luna pricing:
Input:$0.10/M tokens
Output:$0.60/M tokens
Grok Build 0.1 pricing:
Input:$1.00/M tokens
Output:$2.00/M tokens
Winner
GPT-5.6 Luna

OpenAI

89

Composite Score

Grok Build 0.1

xAI

40

Composite Score

Signal-by-Signal Comparison
MetricGPT-5.6 LunaGrok Build 0.1Winner
Overall Score
89
40
GPT-5.6 Luna
Rank#22#200
GPT-5.6 Luna
Quality Rank#22#200
GPT-5.6 Luna
Adoption Rank#22#200
GPT-5.6 Luna
Parameters------
Context Window1050K256K
GPT-5.6 Luna
Pricing$0.10/$0.60/M$1.00/$2.00/M--
Signal Scores
Capabilities
100
100
GPT-5.6 Luna
Benchmarks
88
--
GPT-5.6 Luna
Pricing
99
98
GPT-5.6 Luna
Context window size
96
86
GPT-5.6 Luna
Recency
100
100
GPT-5.6 Luna
Output Capacity
85
20
GPT-5.6 Luna
Benchmark Head-to-Head(11 benchmarks)
GPT-5.6 Luna: 0Grok Build: 0
GPT-5.6 Luna
Grok Build
Normalized 0-100%
MMLU
93%-
MMLU-Pro
84.5%-
GPQA Diamond
85%-
MATH-500
92.5%-
HumanEval
96.5%-
SWE-bench Verified
75%-
IFEval
92%-
BBH
90.5%-
Arena Elo
1465-
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 #22), placing it in the top 93% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Grok Build 0.1Entry Level

Scores 40/100 (rank #200), placing it in the top 31% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

GPT-5.6 Luna has a 49-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:

  • High-volume production workloads where API costs must be minimized
  • Processing long documents or large codebases (1050K token context)
  • Step-by-step reasoning and chain-of-thought problem solving

Choose Grok Build 0.1 when you need:

  • Step-by-step reasoning and chain-of-thought problem solving
Cost-Performance Analysis
GPT-5.6 LunaBest Value
Input cost$0.10/M tokens
Output cost$0.60/M tokens
Cost per quality point$0.008
Est. monthly (1M tokens/day)$10.50
Grok Build 0.1
Input cost$1.00/M tokens
Output cost$2.00/M tokens
Cost per quality point$0.075
Est. monthly (1M tokens/day)$45.00

GPT-5.6 Luna offers 77% better value per quality point. At 1M tokens/day, you'd spend $10.50/month with GPT-5.6 Luna vs $45.00/month with Grok Build 0.1 - a $34.50 monthly difference.

Latency & Speed
GPT-5.6 LunaFaster
Speed score0/100
Grok Build 0.1
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 ($0.60/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 clearly outperforms Grok Build 0.1 with a significant 49-point lead. For most general use cases, GPT-5.6 Luna is the stronger choice. However, Grok Build 0.1 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 Cost - 77% 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 Build 0.1
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
$0.9000
estimated monthly cost

Grok Build 0.1

xAI

$4.20
estimated monthly cost

GPT-5.6 Luna saves you $3.30/month

That's 79% cheaper than Grok Build 0.1 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 Build 0.1
Context Window1.1M256K
Max Output Tokens128,000--
Open SourceNoNo
CreatedJul 9, 2026May 20, 2026
Last updated: 56m ago

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