Noometry

Model comparison

GPT-5.3 Chat vs Inkling-Small

Inkling-Small is the stronger model overall, scoring 46.5 to 42.8 on the Noometry Index.

Last verified . 18 shared benchmarks.

GPT-5.3 Chat OpenAI

42.8

Rank #109 Confirmed

Inkling-Small Thinking Machines Lab

46.5

Rank #63 Confirmed

Summary

  • They share 18 benchmarks with published results for both. GPT-5.3 Chat scores higher in 1 category and Inkling-Small in 7 categories; 7 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where Inkling-Small leads 38.6 to 28.5.
  • Inkling-Small is cheaper at $0.45 / $1.20 per million input/output tokens, against $1.75 / $14 for GPT-5.3 Chat.
  • Inkling-Small accepts more context: 524K tokens versus 128K.
  • Inkling-Small has downloadable open weights; the other is API-only.

Side by side

GPT-5.3 ChatInkling-Small
ProviderOpenAIThinking Machines Lab
Noometry Index42.846.5
Released2026-03-032026-07-15
WeightsProprietaryOpen
Context window128K524K
Max output16K1.05M
Input $ / M tokens$1.75$0.45
Output $ / M tokens$14$1.20
Results tracked1833

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Category by category

Coding Inkling-Small leads

GPT-5.3 Chat: 41.4 (#124), Inkling-Small: 43.6 (#85)

BenchmarkGPT-5.3 ChatInkling-Small
LMArena Coding14081451
LMArena WebDev—1409
SciCode—48.7%

Reasoning Inkling-Small leads

GPT-5.3 Chat: 28.5 (#102), Inkling-Small: 38.6 (#63)

BenchmarkGPT-5.3 ChatInkling-Small
LMArena Hard Prompts13991423
ARC-AGI-2—40.1%
ARC-AGI-1—84%
CritPt—8.3%
Chess Puzzles—18%
Mystery Game Puzzles—6%
Epoch Capabilities Index—150.15

Math Inkling-Small leads

GPT-5.3 Chat: 38.2 (#142), Inkling-Small: 45.1 (#77)

BenchmarkGPT-5.3 ChatInkling-Small
LMArena Math13891459
FrontierMath (Tiers 1-3)—46.3%
FrontierMath Tier 4—17.1%
OTIS Mock AIME 2024-2025—90%
ProofBench—6%

Knowledge Inkling-Small leads

GPT-5.3 Chat: 38.8 (#140), Inkling-Small: 48.2 (#77)

BenchmarkGPT-5.3 ChatInkling-Small
LMArena Expert13971442
GPQA Diamond—88.5%
SimpleQA Verified—19.1%

Multimodal Not comparable

GPT-5.3 Chat: —, Inkling-Small: 39.1 (#62)

BenchmarkGPT-5.3 ChatInkling-Small
LMArena Vision—1235

Multilingual Inkling-Small leads

GPT-5.3 Chat: 50.3 (#124), Inkling-Small: 51.7 (#104)

BenchmarkGPT-5.3 ChatInkling-Small
LMArena Non-English13821402
LMArena Chinese14321465
LMArena French13971436
LMArena German13841405
LMArena Japanese13521405
LMArena Korean13461363
LMArena Russian14001391
LMArena Spanish13711428

Instruction Following Inkling-Small leads

GPT-5.3 Chat: 72.8 (#129), Inkling-Small: 73.8 (#114)

BenchmarkGPT-5.3 ChatInkling-Small
LMArena Instruction Following13781399

Long Context Too close to call

GPT-5.3 Chat: 42.6 (#120), Inkling-Small: 42.7 (#118)

BenchmarkGPT-5.3 ChatInkling-Small
LMArena Longer Query13961401

Writing & Preference GPT-5.3 Chat leads

GPT-5.3 Chat: 63.1 (#68), Inkling-Small: 59.6 (#107)

BenchmarkGPT-5.3 ChatInkling-Small
LMArena Text13891414
LMArena Creative Writing13551331
EQ-Bench Creative Writing16901491
LMArena Multi-Turn14121418

Frequently asked questions

Is GPT-5.3 Chat better than Inkling-Small?

Inkling-Small is the stronger model overall, scoring 46.5 to 42.8 on the Noometry Index.

Which is cheaper, GPT-5.3 Chat or Inkling-Small?

Inkling-Small is cheaper. It lists at $0.45 per million input tokens and $1.20 per million output tokens; GPT-5.3 Chat lists at $1.75 and $14.

Is GPT-5.3 Chat or Inkling-Small better for coding?

Inkling-Small scores higher on coding benchmarks: 43.6 versus 41.4 in the Noometry coding category.

Which has the bigger context window?

Inkling-Small does, with 524K tokens against 128K.

How many benchmarks do GPT-5.3 Chat and Inkling-Small share?

18 benchmarks have published results for both models. GPT-5.3 Chat has 18 scored results on Noometry and Inkling-Small has 33.

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