GPT-5.4 vs Grok 4 for Multilingual
Winner: GPT-5.4. Both GPT-5.4 and Grok 4 score 5/5 on our Multilingual test and are ranked 1 of 52, but GPT-5.4 is the better practical choice because it combines equivalent multilingual quality with stronger safety calibration (5 vs 2) and structured output (5 vs 4) in our testing. Those gaps matter for regulated or production localization, strict JSON outputs, and risk-sensitive multilingual flows. Grok 4 wins on classification (4 vs 3) and matches GPT-5.4 on long context and faithfulness, so it remains a strong alternative when routing/categorization is central.
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
No external multilingual benchmark is provided, so our internal multilingual test is the primary signal: both models score 5/5 and tie for top rank. Multilingual demands: equivalent semantic fidelity across languages, robust safety calibration (avoid mistranslations that produce harmful or disallowed content), strong faithfulness to source facts, stable persona/terminology across locales, the ability to produce validated structured outputs (e.g., JSON for localization bundles), and sufficient context to handle long bilingual documents. In our testing both models deliver top-tier multilingual quality (multilingual 5/5) and match on faithfulness (5/5) and long context (5/5). GPT-5.4 differentiates itself with safety calibration 5 vs Grok 4's 2 and structured output 5 vs Grok 4's 4 — capabilities that reduce risk in regulated translations and improve schema-compliant localization exports. Grok 4 is stronger at classification (4 vs 3), which helps language detection and routing in multilingual pipelines. Also consider system-level differences that affect multilingual workflows: GPT-5.4 has a much larger context window (1,050,000 tokens with 128k max output) and slightly lower input cost (2.5 vs 3 per mTOK), while Grok 4 offers a 256,000 token context window and parity on output cost (15 per mTOK).
Practical Examples
- Regulated localization (legal, medical, compliance): GPT-5.4 is preferable — in our testing it combines 5/5 multilingual with safety calibration 5 (vs Grok 4's 2) and structured output 5 (vs 4), lowering the chance of producing harmful or noncompliant translations and producing strict JSON localization bundles. 2) Large-document bilingual summarization or corpus-level localization: GPT-5.4's 1,050,000-token context window and 128k max output let you keep source context and deliver cohesive, high-quality multilingual summaries; Grok 4 ties on long context score (5/5) but has a 256k window. 3) Multilingual customer routing and intent classification: Grok 4 shines when classification matters — it scores 4 vs GPT-5.4's 3 in our tests — so for language detection, routing, and automated triage across many languages, Grok 4 can reduce false routes. 4) Strict-format multilingual APIs (translation + structured metadata): GPT-5.4's structured output 5/5 produces more reliable schema-compliant outputs in our testing, reducing post-processing. 5) Cost-sensitive, short-turn multilingual chat: Input cost per mTOK favors GPT-5.4 (2.5 vs 3); output cost is the same (15 per mTOK) for both.
Bottom Line
For Multilingual, choose GPT-5.4 if you need top-tier multilingual quality plus strong safety, schema-compliant structured outputs, long-document handling, or lower input cost. Choose Grok 4 if your priority is better classification/routing in multilingual pipelines and you can accept weaker safety calibration for your use case.
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.