Noometry

Model comparison

GPT-5.3 Chat vs Grok 4.20 Multi-Agent

Grok 4.20 Multi-Agent is the stronger model overall, scoring 46.2 to 42.8 on the Noometry Index.

Last verified . 17 shared benchmarks.

GPT-5.3 Chat OpenAI

42.8

Rank #109 Confirmed

Grok 4.20 Multi-Agent xAI

46.2

Rank #65 Confirmed

Summary

  • They share 17 benchmarks with published results for both. GPT-5.3 Chat scores higher in 0 categories and Grok 4.20 Multi-Agent in 8 categories; 7 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where Grok 4.20 Multi-Agent leads 43.9 to 28.5.
  • Grok 4.20 Multi-Agent is cheaper at $1.25 / $2.50 per million input/output tokens, against $1.75 / $14 for GPT-5.3 Chat.
  • Grok 4.20 Multi-Agent accepts more context: 1M tokens versus 128K.

Side by side

GPT-5.3 ChatGrok 4.20 Multi-Agent
ProviderOpenAIxAI
Noometry Index42.846.2
Released2026-03-032026-03-09
WeightsProprietaryProprietary
Context window128K1M
Max output16K30K
Input $ / M tokens$1.75$1.25
Output $ / M tokens$14$2.50
Results tracked1820

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Category by category

Coding Grok 4.20 Multi-Agent leads

GPT-5.3 Chat: 41.4 (#124), Grok 4.20 Multi-Agent: 43.0 (#92)

BenchmarkGPT-5.3 ChatGrok 4.20 Multi-Agent
LMArena Coding14081457

Agentic & Tool Use Not comparable

GPT-5.3 Chat: —, Grok 4.20 Multi-Agent: —

BenchmarkGPT-5.3 ChatGrok 4.20 Multi-Agent
LMArena Search—1204

Reasoning Grok 4.20 Multi-Agent leads

GPT-5.3 Chat: 28.5 (#102), Grok 4.20 Multi-Agent: 43.9 (#48)

BenchmarkGPT-5.3 ChatGrok 4.20 Multi-Agent
LMArena Hard Prompts13991448
NYT Connections (extended)—89.6%

Math Grok 4.20 Multi-Agent leads

GPT-5.3 Chat: 38.2 (#142), Grok 4.20 Multi-Agent: 39.4 (#104)

BenchmarkGPT-5.3 ChatGrok 4.20 Multi-Agent
LMArena Math13891442

Knowledge Grok 4.20 Multi-Agent leads

GPT-5.3 Chat: 38.8 (#140), Grok 4.20 Multi-Agent: 40.4 (#119)

BenchmarkGPT-5.3 ChatGrok 4.20 Multi-Agent
LMArena Expert13971445

Multimodal Not comparable

GPT-5.3 Chat: —, Grok 4.20 Multi-Agent: 40.5 (#48)

BenchmarkGPT-5.3 ChatGrok 4.20 Multi-Agent
LMArena Vision—1259

Multilingual Grok 4.20 Multi-Agent leads

GPT-5.3 Chat: 50.3 (#124), Grok 4.20 Multi-Agent: 54.4 (#43)

BenchmarkGPT-5.3 ChatGrok 4.20 Multi-Agent
LMArena Non-English13821440
LMArena Chinese14321475
LMArena French13971466
LMArena German13841456
LMArena Japanese13521405
LMArena Korean13461416
LMArena Russian14001457
LMArena Spanish13711447

Instruction Following Grok 4.20 Multi-Agent leads

GPT-5.3 Chat: 72.8 (#129), Grok 4.20 Multi-Agent: 74.8 (#84)

BenchmarkGPT-5.3 ChatGrok 4.20 Multi-Agent
LMArena Instruction Following13781420

Long Context Grok 4.20 Multi-Agent leads

GPT-5.3 Chat: 42.6 (#120), Grok 4.20 Multi-Agent: 43.7 (#88)

BenchmarkGPT-5.3 ChatGrok 4.20 Multi-Agent
LMArena Longer Query13961431

Writing & Preference Too close to call

GPT-5.3 Chat: 63.1 (#68), Grok 4.20 Multi-Agent: 64.0 (#59)

BenchmarkGPT-5.3 ChatGrok 4.20 Multi-Agent
LMArena Text13891450
LMArena Creative Writing13551436
LMArena Multi-Turn14121452
EQ-Bench Creative Writing1690—

Frequently asked questions

Is GPT-5.3 Chat better than Grok 4.20 Multi-Agent?

Grok 4.20 Multi-Agent is the stronger model overall, scoring 46.2 to 42.8 on the Noometry Index.

Which is cheaper, GPT-5.3 Chat or Grok 4.20 Multi-Agent?

Grok 4.20 Multi-Agent is cheaper. It lists at $1.25 per million input tokens and $2.50 per million output tokens; GPT-5.3 Chat lists at $1.75 and $14.

Is GPT-5.3 Chat or Grok 4.20 Multi-Agent better for coding?

Grok 4.20 Multi-Agent scores higher on coding benchmarks: 43.0 versus 41.4 in the Noometry coding category.

Which has the bigger context window?

Grok 4.20 Multi-Agent does, with 1M tokens against 128K.

How many benchmarks do GPT-5.3 Chat and Grok 4.20 Multi-Agent share?

17 benchmarks have published results for both models. GPT-5.3 Chat has 18 scored results on Noometry and Grok 4.20 Multi-Agent has 20.

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