Model comparison

GPT-4.1 mini vs Grok 4.20 (Non-Reasoning)

Grok 4.20 (Non-Reasoning) is the stronger model overall, scoring 48.6 to 33.6 on the Noometry Index. GPT-4.1 mini costs 2.2× less per token, which makes it the better buy when Grok 4.20 (Non-Reasoning)'s lead doesn't matter for your workload.

Last verified . 31 shared benchmarks.

GPT-4.1 mini OpenAI

33.6

Rank #240 Confirmed

Grok 4.20 (Non-Reasoning) xAI

48.6

Rank #54 Confirmed

Summary

  • They share 31 benchmarks with published results for both. GPT-4.1 mini scores higher in 1 category and Grok 4.20 (Non-Reasoning) in 9 categories; 10 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where Grok 4.20 (Non-Reasoning) leads 52.3 to 10.8.
  • The biggest single-benchmark swing is ARC-AGI-1: 3.5% for GPT-4.1 mini and 89.5% for Grok 4.20 (Non-Reasoning).
  • GPT-4.1 mini is cheaper at $0.40 / $1.60 per million input/output tokens, against $1.25 / $2.50 for Grok 4.20 (Non-Reasoning).
  • GPT-4.1 mini accepts more context: 1.05M tokens versus 1M.

Side by side

GPT-4.1 mini and Grok 4.20 (Non-Reasoning) specifications
GPT-4.1 miniGrok 4.20 (Non-Reasoning)
ProviderOpenAIxAI
Noometry Index33.648.6
Released2025-04-142026-02-17
WeightsProprietaryProprietary
Context window1.05M1M
Max output33K30K
Input $ / M tokens$0.40$1.25
Output $ / M tokens$1.60$2.50
Results tracked4746

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Category by category

Coding Grok 4.20 (Non-Reasoning) leads

GPT-4.1 mini: 30.6 (#293), Grok 4.20 (Non-Reasoning): 42.1 (#112)

Coding benchmarks
BenchmarkGPT-4.1 miniGrok 4.20 (Non-Reasoning)
WeirdML37.6%52.3%
LMArena Coding13671459
SWE-bench Verified (bash only)23.9%—
Aider Polyglot32.4%—
LMArena WebDev—1375
SciCode40.4%—
BigCodeBench Instruct48.9%—
CadEval16%—
ALE-Bench—1,150

Agentic & Tool Use Grok 4.20 (Non-Reasoning) leads

GPT-4.1 mini: 33.3 (#55), Grok 4.20 (Non-Reasoning): 34.4 (#46)

Agentic & Tool Use benchmarks
BenchmarkGPT-4.1 miniGrok 4.20 (Non-Reasoning)
Terminal-Bench—57.3%
Berkeley Function Calling Leaderboard50.5%—
τ²-bench Banking—18%
LMArena Search—1189
Vending-Bench 2—4,663

Reasoning Grok 4.20 (Non-Reasoning) leads

GPT-4.1 mini: 10.8 (#340), Grok 4.20 (Non-Reasoning): 52.3 (#32)

Reasoning benchmarks
BenchmarkGPT-4.1 miniGrok 4.20 (Non-Reasoning)
ARC-AGI-20%65.1%
Kagi LLM Benchmark48.6%75%
ARC-AGI-13.5%89.5%
Chess Puzzles7%24%
LMArena Hard Prompts13491451
DTBench68.8%90.1%
LMCA21.1%38.7%
Epoch Capabilities Index135.01151.98
NYT Connections (extended)—85.4%
CritPt0%—
Thematic Generalization—63.8%
Mystery Game Puzzles7%—
ForecastBench—61.4

Math Grok 4.20 (Non-Reasoning) leads

GPT-4.1 mini: 24.1 (#270), Grok 4.20 (Non-Reasoning): 48.2 (#65)

Math benchmarks
BenchmarkGPT-4.1 miniGrok 4.20 (Non-Reasoning)
FrontierMath (Tiers 1-3)6.7%44.9%
OTIS Mock AIME 2024-202544.7%92.2%
LMArena Math13431455
FrontierMath Tier 4—17.1%
ProofBench—14%
Omni-MATH49.1%—
MATH Level 587.3%—
FrontierMath (Feb 2025 set)4.5%—

Knowledge Grok 4.20 (Non-Reasoning) leads

GPT-4.1 mini: 34.7 (#194), Grok 4.20 (Non-Reasoning): 52.8 (#60)

Knowledge benchmarks
BenchmarkGPT-4.1 miniGrok 4.20 (Non-Reasoning)
GPQA Diamond65.8%89.3%
SimpleQA Verified12.7%30.2%
LMArena Expert13381439
MMLU-Pro78.3%—
GPQA (HELM)61.4%—

Multimodal GPT-4.1 mini leads

GPT-4.1 mini: 35.8 (#82), Grok 4.20 (Non-Reasoning): 33.3 (#98)

Multimodal benchmarks
BenchmarkGPT-4.1 miniGrok 4.20 (Non-Reasoning)
LMArena Vision11811263
Blueprint-Bench 2—0%
LMArena Document—1416

Multilingual Grok 4.20 (Non-Reasoning) leads

GPT-4.1 mini: 45.7 (#166), Grok 4.20 (Non-Reasoning): 54.5 (#40)

Multilingual benchmarks
BenchmarkGPT-4.1 miniGrok 4.20 (Non-Reasoning)
LMArena Non-English13181441
LMArena Chinese13291481
LMArena French13581476
LMArena German13511465
LMArena Japanese12901449
LMArena Korean12981417
LMArena Russian13241458
LMArena Spanish13191443

Instruction Following Grok 4.20 (Non-Reasoning) leads

GPT-4.1 mini: 73.7 (#118), Grok 4.20 (Non-Reasoning): 74.8 (#83)

Instruction Following benchmarks
BenchmarkGPT-4.1 miniGrok 4.20 (Non-Reasoning)
LMArena Instruction Following13331420
IFEval90.4%—

Long Context Grok 4.20 (Non-Reasoning) leads

GPT-4.1 mini: 31.8 (#275), Grok 4.20 (Non-Reasoning): 45.5 (#34)

Long Context benchmarks
BenchmarkGPT-4.1 miniGrok 4.20 (Non-Reasoning)
LMArena Longer Query13441437
Fiction.LiveBench44.4%—
CL-bench—22.2%
CL-bench Life—11.9%

Writing & Preference Grok 4.20 (Non-Reasoning) leads

GPT-4.1 mini: 48.6 (#199), Grok 4.20 (Non-Reasoning): 65.7 (#44)

Writing & Preference benchmarks
BenchmarkGPT-4.1 miniGrok 4.20 (Non-Reasoning)
LMArena Text13401451
LMArena Creative Writing13001438
EQ-Bench Creative Writing11471574
LMArena Multi-Turn13541456
WildBench83.8%—

Frequently asked questions

Is GPT-4.1 mini better than Grok 4.20 (Non-Reasoning)?

Grok 4.20 (Non-Reasoning) is the stronger model overall, scoring 48.6 to 33.6 on the Noometry Index. GPT-4.1 mini costs 2.2× less per token, which makes it the better buy when Grok 4.20 (Non-Reasoning)'s lead doesn't matter for your workload.

Which is cheaper, GPT-4.1 mini or Grok 4.20 (Non-Reasoning)?

GPT-4.1 mini is cheaper. It lists at $0.40 per million input tokens and $1.60 per million output tokens; Grok 4.20 (Non-Reasoning) lists at $1.25 and $2.50.

Is GPT-4.1 mini or Grok 4.20 (Non-Reasoning) better for coding?

Grok 4.20 (Non-Reasoning) scores higher on coding benchmarks: 42.1 versus 30.6 in the Noometry coding category.

Which has the bigger context window?

GPT-4.1 mini does, with 1.05M tokens against 1M.

How many benchmarks do GPT-4.1 mini and Grok 4.20 (Non-Reasoning) share?

31 benchmarks have published results for both models. GPT-4.1 mini has 47 scored results on Noometry and Grok 4.20 (Non-Reasoning) has 46.

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