GPT-5.4 vs Grok 4 for Chatbots
Winner: GPT-5.4. In our testing on the Chatbots suite (persona consistency, safety calibration, multilingual), GPT-5.4 scores 5/5 vs Grok 4's 4/5 and ranks 1st of 52 vs Grok 4's 11th. The decisive gap is safety calibration (GPT-5.4 5 vs Grok 4 2), plus GPT-5.4's much larger context window (1,050,000 vs 256,000) and top marks on persona consistency and multilingual. Grok 4 is stronger at classification (Grok 4 4 vs GPT-5.4 3) and ties on long context, faithfulness, tool calling, and persona consistency, so it remains a solid alternative when routing accuracy matters.
openai
GPT-5.4
Benchmark Scores
External Benchmarks
Pricing
Input
$2.50/MTok
Output
$15.00/MTok
modelpicker.net
xai
Grok 4
Benchmark Scores
External Benchmarks
Pricing
Input
$3.00/MTok
Output
$15.00/MTok
modelpicker.net
Task Analysis
Chatbots demand consistent persona maintenance, safe refusal/permission behavior, and language parity across locales — our Chatbots suite tests persona consistency, safety calibration, and multilingual. Because there is no external benchmark for this comparison, we base the verdict on our internal task scores: GPT-5.4 = 5, Grok 4 = 4. Breakdown from our testing: persona consistency (GPT-5.4 5, Grok 4 5 — tie), multilingual (5 vs 5 — tie), safety calibration (5 vs 2 — major driver). Other supporting capabilities matter for production chatbots: long context (both 5, but GPT-5.4 offers a 1,050,000 token window vs Grok 4's 256,000), faithfulness (both 5), structured output and tool calling (GPT-5.4 structured output 5 vs Grok 4 4; tool calling 4 vs 4 tie). These supporting scores explain why GPT-5.4 better sustains persona and safe behavior across long conversations and complex tool-driven flows, while Grok 4's relative strength in classification (4 vs 3) helps accurate routing and tagging.
Practical Examples
- Sensitive customer support: A banking chatbot must refuse risky instructions while still helping. In our tests safety calibration is decisive — GPT-5.4 scored 5 vs Grok 4's 2 — so GPT-5.4 will more reliably refuse harmful or policy-violating requests. 2) Long-session concierge: For multi-hour conversation history and memory, both models score 5 on long context, but GPT-5.4's 1,050,000 token window (vs Grok 4's 256,000) lets you retain far more transcript and context without truncation. 3) Multilingual support: Both models scored 5 on multilingual in our testing, so either works for parity across languages. 4) Intent routing & classification: If your bot needs fast, high-accuracy intent classification and routing, Grok 4 scored 4 vs GPT-5.4's 3 on classification in our tests, so Grok 4 is the better pick for pipelines where classification quality is the bottleneck. 5) Tool-driven flows (bookings, DB lookups): Both models scored 4 on tool calling; GPT-5.4's stronger structured output (5 vs 4) reduces schema errors when you must emit strict JSON for downstream systems.
Bottom Line
For Chatbots, choose GPT-5.4 if you need the safest conversational behavior, stronger persona consistency at scale, and the largest context window (GPT-5.4 scored 5 vs Grok 4's 4 on our Chatbots suite; safety calibration 5 vs 2). Choose Grok 4 if your priority is higher classification/routing accuracy (Grok 4 classification 4 vs GPT-5.4 3) or if you value Grok-specific features such as its reasoning-token behavior — Grok 4 remains competitive on multilingual, faithfulness, long context, and tool calling.
How We Test
We test every model against our 12-benchmark suite covering tool calling, agentic planning, creative problem solving, safety calibration, and more. Each test is scored 1–5 by an LLM judge. Read our full methodology.