Update: PR is merged, llama.cpp now natively supports these models Important: Verify that processing a simple question with any image at least uses 1200 tokens of prompt processing, that shows that the new PR is in use. If your prompt is just 576 + a few tokens, you are using llava-1.5 code (or projector) and this is incompatible with llava-1.6 **note** Keep in mind the different fine tunes as described in the llama.cpp llava readme, it's essential to use the non defaults for non vicuna models The mmproj files are the embedded ViT's that came with llava-1.6, I've not compared them but given the previous releases from the team I'd be surprised if the ViT has not been fine tuned this time. If that's the case, using another ViT can cause issues. You need to use the mmproj of the right model but you can mix quantizations.

Visual QA

Input Text · Image→ Output Text

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Qwen3-14B-GGUF

cmp-nct

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Text generation

Input Text→ Output Text

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Qwen3.5-27B-GGUF

cmp-nct

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Visual QA

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Qwen3.5-35B-A3B-GGUF

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Visual QA

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Qwen3.5-4B-GGUF

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Visual QA

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Qwen3.5-9B-GGUF

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Visual QA

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Qwen3.6-27B-GGUF

cmp-nct

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Visual QA

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Qwen3.6-35B-A3B-GGUF

cmp-nct

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Visual QA

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Qwen3-8B-GGUF

cmp-nct

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Text generation

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COST EXPLORER

Great models. Clear costs.

Cost analysis

Adjust monthly token usage to compare estimated API costs.

Monthly input tokens 10 MMonthly output tokens 2 M1 M = 1 million tokens · USD
Compares base text-token rates within the same channel

Uses collected, comparable USD-per-million-token rates. Snapshots exclude cache discounts, tiers, extra reasoning output and taxes. Check current source prices.

MODEL HANDBOOK

Understand before you choose

Selection guide & FAQ

How should API prices be compared?+

Separate input, output and cache rates, then estimate the same workload. Image, audio and video rates may use items, duration or resolution rather than tokens.

Do open weights mean free commercial use?+

Not necessarily. Check each version’s license, commercial restrictions and policies. Self-hosting also incurs compute and maintenance costs.

Is the top-ranked model the best for me?+

Rankings depend on tasks, versions and methods. Compare accuracy, latency, reliability and costs on your own workload.

Find your ideal AI model.

Explore AI models 12

acestep-5Hz-lm-4B-GGUF

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demodokos-foundry-tts-v4

llava-1.6-gguf

Qwen3-14B-GGUF

Qwen3.5-27B-GGUF

Qwen3.5-35B-A3B-GGUF

Qwen3.5-4B-GGUF

Qwen3.5-9B-GGUF

Qwen3.6-27B-GGUF

Qwen3.6-35B-A3B-GGUF

Qwen3-8B-GGUF

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