Model comparison

GPT-5-Codex vs Grok 4.6

Grok 4.6 is the stronger model overall, scoring 56.9 to 37.9 on the Noometry Index.

Last verified . 1 shared benchmarks.

GPT-5-Codex OpenAI

37.9

Rank #192 Reported

Grok 4.6 xAI

56.9

Rank #21 Confirmed

Summary

  • They share 1 benchmark with published results for both. GPT-5-Codex scores higher in 0 categories and Grok 4.6 in 3 categories; 3 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where Grok 4.6 leads 61.4 to 30.9.
  • The biggest single-benchmark swing is WeirdML: 54.5% for GPT-5-Codex and 67.3% for Grok 4.6.
  • Grok 4.6 is cheaper at $2 / $6 per million input/output tokens, against $1.25 / $10 for GPT-5-Codex.
  • Grok 4.6 accepts more context: 500K tokens versus 400K.

Side by side

GPT-5-Codex and Grok 4.6 specifications
GPT-5-CodexGrok 4.6
ProviderOpenAIxAI
Noometry Index37.956.9
Released2025-09-152026-08-12
WeightsProprietaryProprietary
Context window400K500K
Max output128K500K
Input $ / M tokens$1.25$2
Output $ / M tokens$10$6
Results tracked349

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Category by category

Coding Grok 4.6 leads

GPT-5-Codex: 42.4 (#103), Grok 4.6: 58.5 (#16)

Coding benchmarks
BenchmarkGPT-5-CodexGrok 4.6
WeirdML54.5%67.3%
DeepSWE—67.5%
FrontierCode—48%
CursorBench—41.4%
LMArena WebDev—1617
FrontierSWE—25.3%
SciCode—56.5%
LMArena Coding—1465
ALE-Bench—1,508

Agentic & Tool Use Grok 4.6 leads

GPT-5-Codex: 31.0 (#72), Grok 4.6: 39.4 (#27)

Agentic & Tool Use benchmarks
BenchmarkGPT-5-CodexGrok 4.6
Terminal-Bench44.3%—
APEX-Agents—65.3%
GDP.pdf—17.2%
Vending-Bench 2—9,047

Reasoning Grok 4.6 leads

GPT-5-Codex: 30.9 (#83), Grok 4.6: 61.4 (#20)

Reasoning benchmarks
BenchmarkGPT-5-CodexGrok 4.6
ARC-AGI-2—67.1%
SimpleBench—75.9%
Kagi LLM Benchmark70.3%—
NYT Connections (extended)—80%
ARC-AGI-1—87.5%
CritPt—19.7%
Chess Puzzles—40%
EBR-Bench—30.5%
LMArena Hard Prompts—1447
Mystery Game Puzzles—34%
DTBench—97.3%
LMCA—48.5%
Epoch Capabilities Index—156.44

Math Not comparable

GPT-5-Codex: —, Grok 4.6: 67.0 (#24)

Math benchmarks
BenchmarkGPT-5-CodexGrok 4.6
FrontierMath (Tiers 1-3)—66%
FrontierMath Tier 4—31.7%
OTIS Mock AIME 2024-2025—99.2%
ProofBench—51%
LMArena Math—1423

Knowledge Not comparable

GPT-5-Codex: —, Grok 4.6: 63.3 (#20)

Knowledge benchmarks
BenchmarkGPT-5-CodexGrok 4.6
GPQA Diamond—94%
SimpleQA Verified—49.3%
LMArena Expert—1467

Multimodal Not comparable

GPT-5-Codex: —, Grok 4.6: 43.6 (#23)

Multimodal benchmarks
BenchmarkGPT-5-CodexGrok 4.6
LMArena Vision—1263
Blueprint-Bench 2—33.2%
Furniture Assembly—40%
LMArena Document—1452

Multilingual Not comparable

GPT-5-Codex: —, Grok 4.6: 53.0 (#74)

Multilingual benchmarks
BenchmarkGPT-5-CodexGrok 4.6
LMArena Non-English—1420
LMArena Chinese—1480
LMArena French—1461
LMArena German—1431
LMArena Japanese—1376
LMArena Korean—1397
LMArena Russian—1422
LMArena Spanish—1404

Instruction Following Not comparable

GPT-5-Codex: —, Grok 4.6: 75.4 (#63)

Instruction Following benchmarks
BenchmarkGPT-5-CodexGrok 4.6
LMArena Instruction Following—1431

Long Context Not comparable

GPT-5-Codex: —, Grok 4.6: 44.5 (#66)

Long Context benchmarks
BenchmarkGPT-5-CodexGrok 4.6
LMArena Longer Query—1454

Writing & Preference Not comparable

GPT-5-Codex: —, Grok 4.6: 62.3 (#80)

Writing & Preference benchmarks
BenchmarkGPT-5-CodexGrok 4.6
LMArena Text—1428
LMArena Creative Writing—1428
LMArena Multi-Turn—1425

Frequently asked questions

Is GPT-5-Codex better than Grok 4.6?

Grok 4.6 is the stronger model overall, scoring 56.9 to 37.9 on the Noometry Index.

Which is cheaper, GPT-5-Codex or Grok 4.6?

Grok 4.6 is cheaper. It lists at $2 per million input tokens and $6 per million output tokens; GPT-5-Codex lists at $1.25 and $10.

Is GPT-5-Codex or Grok 4.6 better for coding?

Grok 4.6 scores higher on coding benchmarks: 58.5 versus 42.4 in the Noometry coding category.

Which has the bigger context window?

Grok 4.6 does, with 500K tokens against 400K.

How many benchmarks do GPT-5-Codex and Grok 4.6 share?

1 benchmark has published results for both models. GPT-5-Codex has 3 scored results on Noometry and Grok 4.6 has 49.

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