ZMIME
Comparison · 2 models · Updated Oct 4, 2026

Inkling Small vs GPT-6 Luna

GPT-6 Luna comes out ahead, 78 to 62 on our weighted score, and it is the cheaper option too.

  1. Thinking Machines

    Inkling Small

    Released Jul 30, 2026

    62/100
    • ECI150.2
    • Price$0.50 / $1.20
    • Context1.05M
  2. Our pick

    OpenAI

    GPT-6 Luna

    Released Sep 22, 2026

    78/100
    • ECI—
    • Price$0.10 / $0.50
    • Context1.05M
  3. Add a model

    Make it a three-way comparison.

01 — Verdict

GPT-6 Luna is our pick

GPT-6 Luna is the better all-round choice, scoring 78/100 against Inkling Small (62). It leads on capability, price and inputs & features. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%. Capability uses the average of shared benchmarks (GPQA Diamond, FrontierMath Tiers 1–3, OTIS Mock AIME 2024–2025 and SimpleQA Verified), because GPT-6 Luna has no Capabilities Index score yet.

  • CapabilityGPT-6 LunaShared benchmarks: GPT-6 Luna 77.4% · Inkling Small 61.0%
  • Lowest priceGPT-6 LunaGPT-6 Luna $0.20 · Inkling Small $0.675 per 1M tokens (3:1 blend)
  • Longest contextAbout the sameGPT-6 Luna 1,050,000 · Inkling Small 1,048,576 tokens
  • Widest inputsSame inputsInkling Small: Text, Images, Audio · GPT-6 Luna: Text, Images, PDFs
  • Self-hostingInkling SmallPublishes downloadable weights (Apache-2.0)
How the score is built
MeasureWeightInkling SmallGPT-6 Luna
CapabilityShared benchmarks50%6177
Price25%5883
Inputs & features15%7080
Context window10%6161
Overall100%62/10078/100
02 — Side by side

Every spec in one table

Highlighted cells lead their row. Dashes mean the data is not published.

Inkling Small vs GPT-6 Luna specifications side by side
SpecificationInkling SmallThinking MachinesGPT-6 LunaOpenAI
Capability
Capabilities Index (ECI)150.2—
ECI rank#47 of 148—
GPQA DiamondGraduate-level science questions88.5%90.5% (best)
FrontierMath Tiers 1–3Research-level mathematics46.3%79.0% (best)
OTIS Mock AIME 2024–2025Competition mathematics90.0%98.9% (best)
SimpleQA VerifiedShort factual questions19.1%41.4% (best)
Price per million tokens
Input$0.50$0.10 (best)
Output$1.20$0.50 (best)
Cached input—$0.01
Blended (3:1)$0.675$0.20 (best)
Long-context rateSame rateOver 272K: $0.20 / $0.75
Price sourceMedian of 11 providersOfficial OpenAI API
Limits
Context window1,048,576 tokens1,050,000 tokens (best)
Max output1,048,576 tokens (best)128,000 tokens
Inputs and features
TextYesYes
ImagesYesYes
PDFsNoYes
AudioYesNo
VideoNoNo
ReasoningYesYeslow · medium · high · xhigh · max
Tool callingYesYes
Structured outputNoYes
Availability
WeightsOpenApache-2.0Proprietary
API model ID—gpt-6-luna
API providers1124 (best)
ReleasedJul 30, 2026Sep 22, 2026
Knowledge cutoff—May 18, 2026
03 — Cost

What would a month cost?

Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.

  • Inkling Small$7.40
  • GPT-6 Luna$2.00
04 — Questions

Which should you choose?

Which is better: Inkling Small or GPT-6 Luna?

GPT-6 Luna is the better all-round choice, scoring 78/100 against Inkling Small (62). It leads on capability, price and inputs & features. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%. Capability uses the average of shared benchmarks (GPQA Diamond, FrontierMath Tiers 1–3, OTIS Mock AIME 2024–2025 and SimpleQA Verified), because GPT-6 Luna has no Capabilities Index score yet.

Which is cheaper, Inkling Small or GPT-6 Luna?

GPT-6 Luna is cheaper at $0.10 input / $0.50 output per million tokens (official OpenAI API price). Inkling Small costs $0.50 input / $1.20 output per million tokens (median across 11 API providers). At a typical mix of three input tokens to one output token, that is $0.20 per million tokens for GPT-6 Luna versus $0.675 for Inkling Small (3.4× as much).

Which scores higher on benchmarks?

Not every model here has a Capabilities Index score, so we compare the average of shared benchmarks (GPQA Diamond, FrontierMath Tiers 1–3, OTIS Mock AIME 2024–2025 and SimpleQA Verified): GPT-6 Luna 77.4% and Inkling Small 61.0%. On individual benchmarks: GPQA Diamond — GPT-6 Luna 90.5%, Inkling Small 88.5%; FrontierMath Tiers 1–3 — GPT-6 Luna 79.0%, Inkling Small 46.3%; OTIS Mock AIME 2024–2025 — GPT-6 Luna 98.9%, Inkling Small 90.0%; SimpleQA Verified — GPT-6 Luna 41.4%, Inkling Small 19.1%.

Which is better for coding?

There are no published SWE-bench Verified results for Inkling Small and GPT-6 Luna yet, so there is no like-for-like coding score. On overall capability, GPT-6 Luna leads, which tends to carry over to coding, but test on your own codebase. Both support tool calling for agent workflows.

Which has the bigger context window?

Their context windows are effectively the same size: Inkling Small 1,048,576 and GPT-6 Luna 1,050,000 tokens. Maximum output per response: Inkling Small up to 1,048,576, GPT-6 Luna up to 128,000 tokens.

Which can read images, PDFs, audio or video?

Inkling Small accepts text, images and audio; GPT-6 Luna accepts text, images and PDFs. They handle the same number of input types.

Are any of these open source?

Inkling Small publishes its weights (Apache-2.0) and can be self-hosted; GPT-6 Luna is proprietary.

Which is newer?

GPT-6 Luna is the newest, released Sep 22, 2026. Inkling Small came out Jul 30, 2026. Knowledge cutoff: GPT-6 Luna May 18, 2026.

How do you decide the winner?

Each model gets a 0–100 score on capability (50%, independent benchmark results); price (25%, blended price per million tokens (3 input : 1 output), log scale); inputs & features (15%, image, PDF, audio and video input, tool calling, structured output and reasoning); context window (10%, maximum tokens per request, log scale). Dimensions missing for any model are dropped and the remaining weights rescaled, so every model is judged on the same evidence. Specs and prices come from public model listings and the labs’ own API pages; capability scores come from independent benchmark runs. Data updated Oct 4, 2026.