whichLlmmodel
Back to Dashboard

OpenAIGPT-5.4 nanoVSxAIGrok 4.3

Analysis by:the whichllmmodel Editorial Team|Updated: June 2026

Our Take

Standardized reasoning and coding benchmarks are currently pending verification for one or both of these models. We recommend testing GPT-5.4 nano and Grok 4.3 directly in their respective provider playgrounds to see which fits your specific prompt styles best.
Was this recommendation helpful?
Model Specs

GPT-5.4 nano

Benchmarks & Scores

Coding (swe-bench-pro)
52.4%

complex codebases, multi-file repositories, and architectural planning

Reasoning (gpqa-diamond)
82.8%

graduate-level science QA

Cost & Context

Cost (per 1M tokens)3.4x cheaper
$0.46Input: $0.20 | Output: $1.25
Context Window
400k tokens
Model Specs

Grok 4.3

Benchmarks & Scores

Coding (swe-bench-pro)
N/A

complex codebases, multi-file repositories, and architectural planning

Reasoning (gpqa-diamond)Winner (+7.3%)
90.1%

graduate-level science QA

Cost & Context

Cost (per 1M tokens)
$1.56Input: $1.25 | Output: $2.50
Context WindowLarger
1.05M tokens

Frequently Asked Questions about GPT-5.4 nano vs Grok 4.3

GPT-5.4 nano is cheaper than Grok 4.3. GPT-5.4 nano has a blended cost of $0.46/1M tokens, which is about 3.4x cheaper than Grok 4.3 at $1.56/1M tokens.

Do you want to find a model for your constraints?

Use our interactive model finder to filter LLMs by reasoning capability, coding performance, cost, and context length.

Open Model Finder