Skip to content

GPT-5.6 Luna Pro (batch) vs Inkling Small

vs
Inkling Small

thinkingmachines

69#173
Signal-by-Signal Comparison
SignalGPT-5.6 Luna Pro (batch)DeltaInkling Small
Capabilities
100
+33
67
Benchmarks
88
+20
67
Pricing
99
+1
99
Context window size
96
+0
96
Recency
100
--
100
Output Capacity
82
-5
87
Overall Result
4 wins
of 6
1 wins
GPT-5.6 Luna Pro (batch) wins 4 of 6 signals

Score History

Score History (8 data points)
GPT-5.6 Luna Pro (batch)Inkling Small
GPT-5.6 Luna Pro (batch)

89

current score

Leader

GPT-5.6 Luna Pro (batch)

right now

Inkling Small

68.7

current score

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

GPT-5.6 Luna Pro (batch)

OpenAI

Best Value
Per request$0.000400
Daily$1.33
Monthly$40.00
Annual$480.00

Inkling Small

thinkingmachines

Per request$0.001050
Daily$3.50
Monthly$105.00
Annual$1260.00

GPT-5.6 Luna Pro (batch) saves you $65.00/month

That's $780.00/year compared to Inkling Small at your current usage level of 100K calls/month.

62% cheaper
Choose GPT-5.6 Luna Pro (batch) for cost optimization

GPT-5.6 Luna Pro (batch) pricing:
Input:$0.10/M tokens
Output:$0.60/M tokens
Inkling Small pricing:
Input:$0.45/M tokens
Output:$1.20/M tokens
Winner
GPT-5.6 Luna Pro (batch)

OpenAI

89

Composite Score

Inkling Small

thinkingmachines

69

Composite Score

Signal-by-Signal Comparison
MetricGPT-5.6 Luna Pro (batch)Inkling SmallWinner
Overall Score
89
69
GPT-5.6 Luna Pro (batch)
Rank#31#173
GPT-5.6 Luna Pro (batch)
Quality Rank#31#173
GPT-5.6 Luna Pro (batch)
Adoption Rank#31#173
GPT-5.6 Luna Pro (batch)
Parameters------
Context Window1050K1049K
GPT-5.6 Luna Pro (batch)
Pricing$0.10/$0.60/M$0.45/$1.20/M--
Signal Scores
Capabilities
100
67
GPT-5.6 Luna Pro (batch)
Benchmarks
88
67
GPT-5.6 Luna Pro (batch)
Pricing
99
99
GPT-5.6 Luna Pro (batch)
Context window size
96
96
GPT-5.6 Luna Pro (batch)
Recency
100
100
GPT-5.6 Luna Pro (batch)
Output Capacity
82
87
Inkling Small
Benchmark Head-to-Head(11 benchmarks)
GPT-5.6 Luna: 1Inkling Small: 0
GPT-5.6 Luna
Inkling Small
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
14651405
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 Luna Pro (batch)Elite Tier

Scores 89/100 (rank #31), placing it in the top 90% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Inkling SmallCompetitive

Scores 69/100 (rank #173), placing it in the top 41% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

GPT-5.6 Luna Pro (batch) 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-5.6 Luna Pro (batch) when you need:

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

Choose Inkling Small when you need:

  • Step-by-step reasoning and chain-of-thought problem solving
  • Self-hosted deployments where you need full control over the model
Cost-Performance Analysis
GPT-5.6 Luna Pro (batch)Best 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
Inkling Small
Input cost$0.45/M tokens
Output cost$1.20/M tokens
Cost per quality point$0.024
Est. monthly (1M tokens/day)$24.75

GPT-5.6 Luna Pro (batch) offers 58% better value per quality point. At 1M tokens/day, you'd spend $10.50/month with GPT-5.6 Luna Pro (batch) vs $24.75/month with Inkling Small - a $14.25 monthly difference.

Latency & Speed
GPT-5.6 Luna Pro (batch)Faster
Speed score0/100
Inkling Small
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 Pro (batch)

Customer support chatbot

Suitable for user-facing chat with competitive response times. GPT-5.6 Luna Pro (batch) also offers lower per-token costs for high-volume support

GPT-5.6 Luna Pro (batch)

Long document analysis

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

GPT-5.6 Luna Pro (batch)

Batch data extraction

Lower output pricing ($0.60/M) reduces costs when processing thousands of records daily

GPT-5.6 Luna Pro (batch)

Creative writing & content

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

GPT-5.6 Luna Pro (batch)

Image understanding & OCR

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

GPT-5.6 Luna Pro (batch)
Which Should You Choose?
Our recommendation:
GPT-5.6 Luna Pro (batch)

GPT-5.6 Luna Pro (batch) clearly outperforms Inkling Small with a significant 20.299999999999997-point lead. For most general use cases, GPT-5.6 Luna Pro (batch) is the stronger choice. However, Inkling Small may still excel in niche scenarios.

by OpenAI

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Cost - 58% 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 thinkingmachines

Consider for specialized use cases.

Capability Comparison
CapabilityGPT-5.6 Luna Pro (batch)Inkling Small
Vision (Image Input)
Function Calling
Streaming
JSON Modediffers
Reasoning
Web Searchdiffers
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

GPT-5.6 Luna Pro (batch)

OpenAI

Best Value
$0.9000
estimated monthly cost

Inkling Small

thinkingmachines

$2.25
estimated monthly cost

GPT-5.6 Luna Pro (batch) saves you $1.35/month

That's 60% cheaper than Inkling Small 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 Luna Pro (batch)Inkling Small
Context Window1.1M1.0M
Max Output Tokens128,000262,144
Open SourceNoYes
CreatedJul 9, 2026Jul 30, 2026
Last updated: 58m ago

相关对比

GPT-5.6 Luna Pro (batch) vs Inkling Small (2026) | LM Market Cap