Noometry

Model comparison

GPT-5.3 Chat vs GPT-6 Sol

GPT-6 Sol is the stronger model overall, scoring 61.8 to 42.8 on the Noometry Index.

Last verified . 18 shared benchmarks.

GPT-5.3 Chat OpenAI

42.8

Rank #109 Confirmed

GPT-6 Sol OpenAI

61.8

Rank #12 Confirmed

Summary

  • They share 18 benchmarks with published results for both. GPT-5.3 Chat scores higher in 0 categories and GPT-6 Sol in 8 categories; 6 gaps are clear of the uncertainty.
  • The widest gap is in math, where GPT-6 Sol leads 87.2 to 38.2.
  • GPT-6 Sol is cheaper at $2 / $10 per million input/output tokens, against $1.75 / $14 for GPT-5.3 Chat.
  • GPT-6 Sol accepts more context: 1.05M tokens versus 128K.

Side by side

GPT-5.3 ChatGPT-6 Sol
ProviderOpenAIOpenAI
Noometry Index42.861.8
Released2026-03-032026-09-22
WeightsProprietaryProprietary
Context window128K1.05M
Max output16K128K
Input $ / M tokens$1.75$2
Output $ / M tokens$14$10
Results tracked1845

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Category by category

Coding GPT-6 Sol leads

GPT-5.3 Chat: 41.4 (#124), GPT-6 Sol: 60.1 (#11)

BenchmarkGPT-5.3 ChatGPT-6 Sol
LMArena Coding14081447
DeepSWE—68.8%
FrontierCode—49.3%
LMArena WebDev—1688
SciCode—57.6%
ALE-Bench—2,462

Agentic & Tool Use Not comparable

GPT-5.3 Chat: —, GPT-6 Sol: 37.2 (#36)

BenchmarkGPT-5.3 ChatGPT-6 Sol
APEX-Agents—54.3%
GDP.pdf—26.4%
Vending-Bench 2—14,428

Reasoning GPT-6 Sol leads

GPT-5.3 Chat: 28.5 (#102), GPT-6 Sol: 74.0 (#9)

BenchmarkGPT-5.3 ChatGPT-6 Sol
LMArena Hard Prompts13991418
ARC-AGI-2—89.6%
NYT Connections (extended)—90.1%
ARC-AGI-1—95.5%
CritPt—30.9%
EBR-Bench—53.3%
Mystery Game Puzzles—56%
DTBench—97.3%
LMCA—59.1%
Epoch Capabilities Index—162.72

Math GPT-6 Sol leads

GPT-5.3 Chat: 38.2 (#142), GPT-6 Sol: 87.2 (#7)

BenchmarkGPT-5.3 ChatGPT-6 Sol
LMArena Math13891402
FrontierMath (Tiers 1-3)—89.8%
FrontierMath Tier 4—90%
OTIS Mock AIME 2024-2025—100%
ProofBench—83%

Knowledge GPT-6 Sol leads

GPT-5.3 Chat: 38.8 (#140), GPT-6 Sol: 64.8 (#15)

BenchmarkGPT-5.3 ChatGPT-6 Sol
LMArena Expert13971439
GPQA Diamond—94.3%
SimpleQA Verified—60.7%
Vectara Hallucination Rate—6.5%

Multimodal Not comparable

GPT-5.3 Chat: —, GPT-6 Sol: 47.6 (#10)

BenchmarkGPT-5.3 ChatGPT-6 Sol
LMArena Vision—1245
Blueprint-Bench 2—36.9%
Furniture Assembly—58.3%

Multilingual Too close to call

GPT-5.3 Chat: 50.3 (#124), GPT-6 Sol: 50.5 (#118)

BenchmarkGPT-5.3 ChatGPT-6 Sol
LMArena Non-English13821385
LMArena Chinese14321405
LMArena French13971410
LMArena German13841390
LMArena Japanese13521385
LMArena Korean13461341
LMArena Russian14001401
LMArena Spanish13711384

Instruction Following GPT-6 Sol leads

GPT-5.3 Chat: 72.8 (#129), GPT-6 Sol: 74.5 (#94)

BenchmarkGPT-5.3 ChatGPT-6 Sol
LMArena Instruction Following13781412

Long Context Too close to call

GPT-5.3 Chat: 42.6 (#120), GPT-6 Sol: 43.1 (#108)

BenchmarkGPT-5.3 ChatGPT-6 Sol
LMArena Longer Query13961411

Writing & Preference GPT-6 Sol leads

GPT-5.3 Chat: 63.1 (#68), GPT-6 Sol: 71.9 (#18)

BenchmarkGPT-5.3 ChatGPT-6 Sol
LMArena Text13891395
LMArena Creative Writing13551378
EQ-Bench Creative Writing16902125
LMArena Multi-Turn14121412

Frequently asked questions

Is GPT-5.3 Chat better than GPT-6 Sol?

GPT-6 Sol is the stronger model overall, scoring 61.8 to 42.8 on the Noometry Index.

Which is cheaper, GPT-5.3 Chat or GPT-6 Sol?

GPT-6 Sol is cheaper. It lists at $2 per million input tokens and $10 per million output tokens; GPT-5.3 Chat lists at $1.75 and $14.

Is GPT-5.3 Chat or GPT-6 Sol better for coding?

GPT-6 Sol scores higher on coding benchmarks: 60.1 versus 41.4 in the Noometry coding category.

Which has the bigger context window?

GPT-6 Sol does, with 1.05M tokens against 128K.

How many benchmarks do GPT-5.3 Chat and GPT-6 Sol share?

18 benchmarks have published results for both models. GPT-5.3 Chat has 18 scored results on Noometry and GPT-6 Sol has 45.

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