aquif-ai/aquif-3.5-Plus-30B-A3B

Disclaimer: aquif-3.5-Plus was made with the merging technique used in Qwen3-30B-A3B-YOYO-V3 to enable hybrid reasoning. aquif-3.5-Max, finetuned from Plus and expanded through DavidAU's brainstorm technique, went through further RL and SFT to focus more on the reasoning and coding aspects of it.

aquif-3.5-Plus & aquif-3.5-Max

The pinnacle of the aquif-3.5 series, released November 3rd, 2025. These models bring advanced reasoning capabilities, hybrid reasoning modes and unprecedented context windows to achieve state-of-the-art performance for their respective categories.

aquif-3.5-Plus combines hybrid reasoning with interchangeable thinking modes, offering flexibility for both speed-optimized and reasoning-intensive applications.

aquif-3.5-Max represents frontier model capabilities built on top of Plus's architecture, delivering exceptional performance across all benchmark categories.

Model Repository Links

Model	HuggingFace Repository
aquif-3.5-Plus	aquiffoo/aquif-3.5-Plus
aquif-3.5-Max	aquiffoo/aquif-3.5-Max

Model Overview

Model	Total (B)	Active Params (B)	Reasoning	Context Window	Thinking Modes
aquif-3.5-Plus	30.5	3.3	✅ Hybrid	1M	✅ Interchangeable
aquif-3.5-Max	42.4	3.3	✅ Reasoning-Only	1M	✅ Interchangeable

Model Details

aquif-3.5-Plus (Hybrid Reasoning with Interchangeable Modes)

A breakthrough hybrid reasoning model offering unprecedented flexibility. Toggle between thinking and non-thinking modes to optimize for your specific use case—maintain reasoning capabilities when needed, or prioritize speed for time-sensitive applications.

Artificial Analysis Intelligence Index (AAII) Benchmarks

Core Performance Metrics

Benchmark	Plus (Non-Reasoning)	Plus (Reasoning)	Max (Non-Reasoning)	Max (Reasoning)
MMLU-Pro	80.2	82.8	82.8	85.4
GPQA Diamond	72.1	79.7	75.6	83.2
AIME 2025	64.7	90.3	69.0	94.6
LiveCodeBench	50.5	76.4	55.9	81.6
Humanity’s Last Exam	4.3	12.1	7.8	15.6
TAU2-Telecom	34.2	41.5	43.2	51.3
IFBench	39.3	54.3	49.3	65.4
TerminalBench-Hard	10.1	15.2	18.0	23.9
AA-LCR	30.4	59.9	31.7	61.2
SciCode	29.5	35.7	34.7	40.9
AAII Composite Score	42 (41.5)	55 (54.8)	47 (46.8)	60 (60.3)

Long Context Evals (RULER)

Model Name	Acc avg	4k	8k	16k	32k	64k	96k	128k	192k	256k	384k	512k	640k	768k	896k	1000k
aquif-3.5-Plus (Reasoning)	91.4	99.6	100.0	99.2	98.2	97.4	96.8	96.8	94.8	89.6	90.2	84.0	82.6	81.9	80.1	77.5
aquif-3.5-Max (Reasoning)	92.1	100.0	100.0	99.7	98.5	97.8	97.1	96.9	95.8	92.1	91.1	85.5	84.8	80.0	79.9	79.6

Comparable Models by Configuration

aquif-3.5-Plus (Non-Reasoning) — AAII 42

Model	AAII Score
GPT-5 mini	42
Claude Haiku 4.5	42
Gemini 2.5 Flash Lite 2509	42
aquif-3.5-Plus (Non-Reasoning)	42
DeepSeek V3 0324	41
Qwen3 VL 32B Instruct	41
Qwen3 Coder 480B A35B	42

aquif-3.5-Plus (Reasoning) — AAII 55

Model	AAII Score
GLM-4.6	56
Gemini 2.5 Flash 2509	54
Claude Haiku 4.5	55
aquif-3.5-Plus (Reasoning)	55
Qwen3 Next 80B A3B	54

aquif-3.5-Max (Non-Reasoning) — AAII 47

Model	AAII Score
Gemini 2.5 Flash 2509	47
aquif-3.5-Max (Non-Reasoning)	47
DeepSeek-V3.2 Exp	46
Ling-1T	45
GLM-4.6	45
Qwen3 235B A22B 2507	45

aquif-3.5-Max (Reasoning) — AAII 60

Model	AAII Score
Gemini 2.5 Pro	60
Grok 4 Fast	60
aquif-3.5-Max	60
MiniMax-M2	61
gpt-oss-120B high	61
GPT-5 mini	61
DeepSeek-V3.1-Terminus	58
Claude Opus 4.1	59

Key Features

Massive Context Windows: Both models support up to 1M tokens, enabling analysis of entire codebases, research papers, and extensive conversation histories without truncation.

Efficient Architecture: Despite offering frontier-level performance, both models maintain exceptional efficiency through optimized mixture-of-experts design and active parameter count of just 3.3B.

Flexible Reasoning: aquif-3.5-Plus and Max provide interchangeable thinking modes—enable reasoning for complex problems, disable for faster inference on straightforward tasks.

Multilingual Support: Native support across English, German, Italian, Portuguese, French, Hindi, Spanish, Thai, Chinese, and Japanese.

Usage Recommendations

aquif-3.5-Plus:

• Complex reasoning requiring flexibility between speed and depth
• Scientific analysis and mathematical problem-solving with thinking enabled
• Rapid-response applications with thinking disabled
• Code generation and review
• Multilingual applications up to 1M token contexts

aquif-3.5-Max:

• Frontier-level problem-solving without compromise
• Advanced research and scientific computing
• Competition mathematics and algorithmic challenges
• Comprehensive code analysis and generation
• Complex multilingual tasks requiring maximum reasoning capability

Setting Thinking Mode (aquif-3.5-Plus)

Toggle between thinking and non-thinking modes by modifying the chat template:

set thinking = true    # Enable reasoning mode
set thinking = false   # Disable thinking mode (faster inference)

Simply set the variable in your chat template before inference to switch modes. No model reloading required.

Technical Specifications

Both models support:

• BF16 and FP16 precision
• Mixture of Experts architecture optimizations
• Efficient attention mechanisms with optimized KV caching
• Up to 1M token context window
• Multi-head attention with sparse routing

Acknowledgements

• Qwen Team: Base architecture contributions
• Meta Llama Team: Core model foundations
• Hugging Face: Model hosting and training infrastructure

License

This project is released under the Apache 2.0 License. See LICENSE file for details.

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