Grok 4 is cheaper ($2 vs $2.50/1M input), has a larger context window (2M vs 272K), and is faster. GPT-5.4 leads on coding and has unique desktop-control capabilities. For most coding and broad use cases, GPT-5.4 is stronger. For context-heavy work at a better price, Grok 4 is worth considering.
Pick GPT-5.4 for coding quality and agentic desktop control. Pick Grok 4 for large context windows, speed, and cost efficiency.
GPT-5.4 leads Grok 4 on coding (90 vs ~82) and has unique computer-use capabilities that Grok doesn't offer.
Use GPT-5.4 if you want the strongest default. Switch only when cost, speed, or context length matters more than maximum reliability.
The shortest way to see the safest default, the lower-cost option, and the specialist pick before you read deeper.
GPT-5.4 is the safest overall answer here when you want the strongest default instead of the lowest list price.
Grok 4 is the lower-cost option to start with when you still need useful output at scale.
Grok 4 is the better pick when response speed matters more than maximum reasoning depth.
Grok 4 is cheaper at $2/1M input vs GPT-5.4's $2.50/1M.
Grok 4 has a 2M token context window — GPT-5.4 has 272K.
GPT-5.4 leads on coding and is the only model with desktop computer-use control via API.
Choose GPT-5.4 if coding quality, agentic automation, or desktop control are the priority.
Choose Grok 4 if context window size, response speed, or cost are the more important factors.
Neither is the strongest writing model — Claude Sonnet 4.6 beats both for writing quality.
This comparison focuses on the models most likely to answer this search intent well, not every model in the directory.
Best for agentic automation and desktop control workflows.
Strong coding value with 2M context — an underrated pick at this price.
Use these cards as the practical decision layer: what each leading option is good at, and when it becomes the wrong default.
Best for agentic automation and desktop control workflows.
Agentic workflows, desktop automation, and complex multi-step reasoning
You need the highest coding benchmark scores — Claude Opus 4.6 and Sonnet 4.6 lead SWE-bench.
Strong coding value with 2M context — an underrated pick at this price.
Coding and research at competitive pricing with maximum context
You need the highest writing quality or the most reliable production-grade output — Claude wins both.
UseRightAI recommendations are based on practical decision factors people actually feel in day-to-day use.
Benchmark scores from SWE-bench (coding), ARC-AGI-2 (reasoning), and MMLU (knowledge breadth) — cross-referenced against Chatbot Arena community votes to filter out cherry-picked provider claims.
Input and output costs verified directly against each provider's official API pricing page. Updated whenever a price change is detected. Value-per-dollar is weighted separately from raw benchmark rank.
Advertised context sizes are noted but scored against real-world usability — models that degrade significantly at large contexts are penalised even if the window is technically available.
Production signals matter more than lab scores. We weight Cursor and Windsurf defaults, HackerNews sentiment, developer surveys, and which models teams actually keep using after the honeymoon period.
One-off wins on cherry-picked benchmarks don't move our rankings. We favour models that stay dependable across repeated prompts, diverse task types, and long sessions without degrading.
Time-to-first-token and output throughput from Artificial Analysis speed benchmarks. Latency is categorised from Very fast to Deliberate — relevant when building interactive or high-throughput products.
Data sources
The fastest way to see where the recommendation shifts when your priority changes.
Best for agentic automation and desktop control workflows.
Strong coding value with 2M context — an underrated pick at this price.
Only frontier model that can control a desktop via API (click, type, navigate)
Strong at multi-step agentic tasks and autonomous workflows
Competitive coding performance with 74.9% SWE-bench score
Claude Opus 4.6 and Sonnet 4.6 outperform it on pure coding benchmarks
Smaller context window (272K) vs Gemini 3.1 Pro (2M) for research
Newsletter
Useful if you care about ranking shifts, pricing changes, or a better recommendation appearing in this decision path.
No spam. Useful updates only. Affiliate disclosures always clearly labeled.
Grok 4 is better on context window (2M vs 272K) and price ($2 vs $2.50/1M). GPT-5.4 is better on coding benchmarks and has unique computer-use capabilities. Neither is objectively better — it depends on your use case.
Yes. Grok 4 is $2/1M input and $6/1M output. GPT-5.4 is $2.50/1M input and $15/1M output. Grok 4 is significantly cheaper on output tokens.
Grok 4 wins by a large margin: 2M tokens vs GPT-5.4's 272K. For large document analysis or long conversation history, Grok 4 is the better pick.
Grok 4 is a solid coding option but trails GPT-5.4 and Claude Sonnet 4.6 on benchmark scores. For the strongest coding quality, Claude Sonnet 4.6 (79.6% SWE-bench) or Opus 4.6 (80.8%) are stronger picks.
Consider Grok 4 if context window size or output cost are bottlenecks. Stick with GPT-5.4 if coding quality, agentic capabilities, or OpenAI's ecosystem integrations are priorities.
