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Jamba 1.5 Large
最先进的混合SSM-Transformer指令跟随基础模型，提供更优越的长文本处理能力、速度和质量。
Intelligence(Relatively Weak)
Speed(Slow)
Input Supported Modalities
No
Is Reasoning Model
256,000
Context Window
256,000
Maximum Output Tokens
2024-03-05
Knowledge Cutoff
Pricing
￥14.4 /M tokens
Input
￥57.6 /M tokens
Output
￥25.2 /M tokens
Blended Price
Quick Simple Comparison
Jamba 1.7 Large
￥0.49
Jamba 1.7 Mini
Jamba 1.6 Mini
Basic Parameters
Jamba 1.5 LargeTechnical Parameters
Parameter Count
398,000.0M
Context Length
256.00k tokens
Training Data Cutoff
2024-03-05
Open Source Category
Open Weights (Permissive License)
Multimodal Support
Text Only
Throughput
100
Release Date
2024-08-22
Response Speed
0 tokens/s
Benchmark Scores
Below is the performance of Jamba 1.5 Large in various standard benchmark tests. These tests evaluate the model's capabilities in different tasks and domains.
Intelligence Index
29.31
Large Language Model Intelligence Level
Coding Index
15.3
Indicator of AI model performance on coding tasks
Math Index
32.63
Capability indicator in solving mathematical problems, mathematical reasoning, or performing math-related tasks
MMLU Pro
57.2
Massive Multitask Multimodal Understanding - Testing understanding of text, images, audio, and video
GPQA
42.7
Graduate Physics Questions Assessment - Testing advanced physics knowledge with diamond science-level questions
HLE
4
The model's comprehensive average score on the Hugging Face Open LLM Leaderboard
LiveCodeBench
14.3
Specific evaluation focused on assessing large language models' ability in real-world code writing and solving programming competition problems
SciCode
16.3
The model's capability in code generation for scientific computing or specific scientific domains
HumanEval
23.9
Score achieved by the AI model on the specific HumanEval benchmark test set
Math 500 Score
60.6
Score on the first 500 larger, more well-known mathematical benchmark tests
AIME Score
4.7
An indicator measuring an AI model's ability to solve high-difficulty mathematical competition problems (specifically AIME level)
GPT 5 Mini
openai
￥1.8
Input tokens/million
￥14.4
Output tokens/million
400k
Context Length
GPT 5 Standard
openai
￥63
Input tokens/million
￥504
Output tokens/million
400k
Context Length
GPT 5 Nano
openai
￥0.36
Input tokens/million
￥2.88
Output tokens/million
400k
Context Length
GPT 5
openai
￥9
Input tokens/million
￥72
Output tokens/million
400k
Context Length
GLM 4.5
chatglm
￥0.43
Input tokens/million
￥1.01
Output tokens/million
131k
Context Length
Gemini 2.0 Flash Lite (Preview)
google
￥0.58
Input tokens/million
￥2.16
Output tokens/million
1M
Context Length
Gemini 1.0 Pro
google
￥3.6
Input tokens/million
￥10.8
Output tokens/million
33k
Context Length
Qwen2.5 Coder Instruct 32B
alibaba
￥0.65
Input tokens/million
￥0.65
Output tokens/million
131k
Context Length