 |
VOOZH | about |
|
VOOZH | about |
Parameters
-
Context Length
400K
Modality
Multimodal
Architecture
Dense
License
Proprietary
Release Date
17 Mar 2026
Knowledge Cutoff
-
Attention
Attention Structure
Multi-Head Attention
Attention Heads
-
Key-Value Heads
-
Attention Head Dimension
-
Position Embedding
Absolute Position Embedding
RoPE Theta
-
Sliding Window Attention
-
Sliding Window Size
-
Normalization
-
Activation Function
-
Dimensions
Hidden Dimension Size
-
Number of Layers
-
FFN Intermediate Size (Dense)
-
Multi-Token Prediction Heads
-
Tokenizer
Vocabulary Size
-
GPT-5.4 mini is OpenAI's fast, efficient small model that brings many capabilities of GPT-5.4 to high-volume workloads. It significantly improves over GPT-5 mini across coding, reasoning, multimodal understanding, and tool use while running more than 2x faster. Approaches GPT-5.4 performance on SWE-Bench Pro (54.4%) and OSWorld-Verified (72.1%). Supports text and image inputs, tool use, function calling, web search, file search, computer use, and skills. 400K context window. Pricing: $0.75/M input, $4.50/M output. Available via API as gpt-5.4-mini. Released March 17, 2026.
GPT-5.4 is OpenAI's most capable and efficient frontier model for professional work, combining the industry-leading coding capabilities of GPT-5.3-Codex with major advances in reasoning, computer use, and agentic workflows. It introduces native computer-use capabilities, tool search for large tool ecosystems, substantially improved knowledge work (spreadsheets, presentations, documents), and is OpenAI's most factual and token-efficient reasoning model. Supports up to 1M context tokens in Codex. Released March 5, 2026.
Rank
#41
| Benchmark | Score | Rank |
|---|---|---|
General Text Text Arena | 1457 | 19 |
Coding LiveBench Coding | 0.75 | 22 |
Reasoning LiveBench Reasoning | 0.72 | 25 |
Mathematics LiveBench Mathematics | 0.79 | 25 |
Web Development WebDev Arena | 1399 | 36 |
Overall Rank
#41
Coding Rank
#46
Total Score
F
34 / 100
©2025 ApX Machine Learning
APX AI
Online