HomeSpark-v4-Ultra
N/A
Model parameter quantity
iFLYTEK
Affiliated organization
Closed Source
License Type
June 28, 2024
Release time
Model Introduction
The Spark Cognitive Large Model is an API model produced by iFlytek, with the version number being Spark v4.0.
Comprehensive score
Language dialogue
Knowledge reserve
Reasoning association
Mathematical calculation
Code writing
Command following
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Language comprehension ability
Often makes semantic misjudgments, leading to obvious logical disconnects in responses.
2.9
Knowledge coverage scope
Has significant knowledge blind spots, often showing factual errors and repeating outdated information.
6.2
Reasoning ability
Unable to maintain coherent reasoning chains, often causing inverted causality or miscalculations.
3.0
Model comparison
Spark-v4-Ultra vs Qwen2.5-7B-Instruct
Like Qwen2, the Qwen2.5 language models support up to 128K tokens and can generate up to 8K tokens. They also maintain multilingual support for over 29 languages, including Chinese, English, French, Spanish, Portuguese, German, Italian, Russian, Japanese, Korean, Vietnamese, Thai, Arabic, and more.
Spark-v4-Ultra vs Hunyuan-T1-20250822
The deep reasoning model independently developed by Tencent adopts the version number hunyuan-t1-20250822.
Spark-v4-Ultra vs Spark-X1
The inference model Spark X1 released by iFlytek, on the basis of leading domestic mathematical tasks, benchmarks the performance of general tasks such as inference, text generation, and language understanding against OpenAI o1 and DeepSeek R1.
Related model
iFlytek-Spark-X1.5-0106-NoThink
The latest version of Starfire X1.5 released by iFlytek in January.
iFlytek-Spark-X1.5-0106-Think
The latest version of Starfire X1.5 released by iFlytek in January.
iFlytek-Spark-X1preview-NoThink-1025
The latest version of Starfire X1 released by iFlytek in October.
iFlytek-Spark-X1preview-Think-1025
The latest version of Starfire X1 released by iFlytek in October.
iFlytek-Spark-X1-0720
The inference model Spark X1 released by iFlytek, on the basis of leading domestic mathematical tasks, benchmarks the performance of general tasks such as inference, text generation, and language understanding against OpenAI o series and DeepSeek R1.
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