| Signal | GPT-5.4 Mini | Delta | Grok 4 Fast |
|---|---|---|---|
Capabilities | 100 | -- | |
Benchmarks | 90 | +21 | |
Pricing | 96 | -4 | |
Context window size | 89 | -11 | |
Recency | 100 | +10 | |
Output Capacity | 85 | +11 | |
| Overall Result | 3 wins | of 6 | 2 wins |
Score History
79.3
current score
GPT-5.4 Mini
right now
72.5
current score
OpenAI
xAI
Grok 4 Fast saves you $255.00/month
That's $3060.00/year compared to GPT-5.4 Mini at your current usage level of 100K calls/month.
| Metric | GPT-5.4 Mini | Grok 4 Fast | Winner |
|---|---|---|---|
| Overall Score | 79 | 73 | GPT-5.4 Mini |
| Rank | #43 | #80 | GPT-5.4 Mini |
| Quality Rank | #43 | #80 | GPT-5.4 Mini |
| Adoption Rank | #43 | #80 | GPT-5.4 Mini |
| Parameters | -- | -- | -- |
| Context Window | 400K | 2000K | Grok 4 Fast |
| Pricing | $0.75/$4.50/M | $0.20/$0.50/M | -- |
| Signal Scores | |||
| Capabilities | 100 | 100 | GPT-5.4 Mini |
| Benchmarks | 90 | 70 | GPT-5.4 Mini |
| Pricing | 96 | 100 | Grok 4 Fast |
| Context window size | 89 | 100 | Grok 4 Fast |
| Recency | 100 | 90 | GPT-5.4 Mini |
| Output Capacity | 85 | 75 | GPT-5.4 Mini |
Our score (0-100) is driven by benchmark performance (90%) from Arena Elo ratings, MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations. Capabilities and context window serve as tiebreakers (10%). Learn more about our methodology.
Scores 79/100 (rank #43), placing it in the top 86% of all 290 models tracked.
Scores 73/100 (rank #80), placing it in the top 73% of all 290 models tracked.
GPT-5.4 Mini has a 7-point advantage, which typically translates to noticeably better performance on complex reasoning, code generation, and multi-step tasks.
Grok 4 Fast offers 87% better value per quality point. At 1M tokens/day, you'd spend $10.50/month with Grok 4 Fast vs $78.75/month with GPT-5.4 Mini - a $68.25 monthly difference.
Both models have comparable response speeds. For most applications, the latency difference is negligible.
When latency matters most: Interactive chatbots, IDE code completion, real-time translation, and user-facing applications where response time directly impacts experience. For batch processing, background summarization, or offline analysis, latency is less critical.
Code generation & review
Based on overall model capabilities and architecture for coding tasks like generating functions, debugging, and refactoring
Customer support chatbot
Suitable for user-facing chat with competitive response times. Grok 4 Fast also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (2000K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.50/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (79/100) correlates with better nuance, coherence, and style in long-form content
Image understanding & OCR
Supports vision input - can analyze screenshots, diagrams, photos, and scanned documents directly
GPT-5.4 Mini has a moderate advantage with a 6.799999999999997-point lead in composite score. It wins on more signal dimensions, but Grok 4 Fast has specific strengths that could make it the better choice for certain workflows.
Best for Quality
GPT-5.4 Mini
Marginally better benchmark scores; both are excellent
Best for Cost
Grok 4 Fast
87% lower pricing; better value at scale
Best for Reliability
GPT-5.4 Mini
Higher uptime and faster response speeds
Best for Prototyping
GPT-5.4 Mini
Stronger community support and better developer experience
Best for Production
GPT-5.4 Mini
Wider enterprise adoption and proven at scale
by OpenAI
| Capability | GPT-5.4 Mini | Grok 4 Fast |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
OpenAI
xAI
Grok 4 Fast saves you $5.79/month
That's 86% cheaper than GPT-5.4 Mini at 1,000 tokens/request and 100 requests/day.
Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.
| Parameter | GPT-5.4 Mini | Grok 4 Fast |
|---|---|---|
| Context Window | 400K | 2M |
| Max Output Tokens | 128,000 | 30,000 |
| Open Source | No | No |
| Created | Mar 17, 2026 | Sep 19, 2025 |
Grok 4 Fast's #2 ranking out of 326 models suggests it delivers elite-tier coding performance that GPT-5.4 Mini (#15) cannot match, particularly for complex tasks where that 75 vs 61 score gap translates to fewer iterations and higher accuracy. The 5x larger context window (2M vs 400K tokens) also enables Grok to handle entire codebases in a single prompt, which is impossible with GPT-5.4 Mini's limitations.
OpenAI appears to have optimized GPT-5.4 Mini for long-form code generation tasks like creating entire applications or extensive documentation, accepting a 14-point performance penalty for this capability. At $4.50/M output tokens versus Grok's $0.50/M, this design choice creates an interesting paradox where the cheaper-per-token model is actually more expensive for large outputs, suggesting OpenAI expects users to leverage that 128K capacity sparingly.
Monthly costs would plummet from $135,000 with GPT-5.4 Mini ($0.75/M × 80M input + $4.50/M × 20M output) to just $26,000 with Grok 4 Fast ($0.20/M × 80M + $0.50/M × 20M), an 81% reduction. This $109,000 monthly savings could easily justify the migration effort, especially given Grok's superior performance (75 vs 61 score) would likely reduce the total tokens needed through better first-pass accuracy.
GPT-5.4 Mini's unique 128K max output tokens make it irreplaceable for generating entire SDKs, comprehensive test suites, or multi-file boilerplate projects that exceed Grok's 30K limit. Additionally, teams already deeply integrated with OpenAI's ecosystem might find the switching costs prohibitive, though with identical capability sets (both support vision, function calling, JSON mode, etc.), the technical migration path is straightforward.
Grok 4 Fast can analyze entire monorepos or multiple related services in a single context, while GPT-5.4 Mini would require chunking large codebases across multiple calls, losing cross-file insights. Combined with Grok's 75-point performance score and 9x lower output costs ($0.50/M vs $4.50/M), this makes Grok the clear choice for architecture-level analysis, though GPT-5.4 Mini's 128K output capacity remains unmatched for generating large-scale refactoring implementations.