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View details ↗DISCOVER & COMPARE
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基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗MiMo-V2.6-Flash-RL-UNCENSORED-IQ2S-Down-GGUF
BattleGhost基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗Qwen3.8-Flash-Next-UNCENSORED-IQ2_XXS-GGUF
BattleGhostIQ2_XXS GGUF conversion of `dealignai/Qwen3.8-Flash-Next-UNCENSORED-FP8`, intended as a practical build for a system with 64 GB RAM and a 16 GB GPU. This is the exact modified **dealignai UNCENSORED** checkpoint converted and quantized to GGUF. It is not derived from the independently modified OrcaRouter model. The unquantized BF16 GGUF is available separately at `BattleGhost/Qwen3.8-Flash-Next-UNCENSORED-BF16-GGUF`.
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View details ↗logicer-ggufs-public
batuhan-elibuyuk基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗wav2vec2-large-xlsr-mongolian
bayartsogt基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗whisper-large-v2-mn-13
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View details ↗bangla-smollm-135m-cupcake
bayazidhs04基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗liltii-v0.2-qwen2.5-0.5b
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View details ↗gemma-3n-E4B-it-GGUF
BaybeDragon基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗Llama3.1-IVON-SFT-8B
BayesRL基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗Qwen2.5-0.5B-MoE-A0.3B
bayliner1980基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗Qwen2.5-0.5B-MoE-A0.3B-GGUF
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View details ↗Qwen2.5-1.5B-MoE-A0.9B-GGUF
bayliner1980基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗Qwen3.5-0.8B-MoE-A0.6B
bayliner1980基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗Qwen3.5-0.8B-MoE-A0.6B-GGUF
bayliner1980基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗JEV-27B-VL-MLX-4bit
Bayway基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗flux.1-dev-uncensored-q4
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View details ↗DeepSeek-V4-Flash-BF16
bbin2022基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗textgeneratorc2k
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View details ↗Qwen-AgentWorld-ULTRA
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View details ↗Qwen3.8-27B-TurboFCFusion-CyberSec
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View details ↗No matching models
Adjust provider, category or input/output filters. New models are added continuously.
COST EXPLORER
Great models. Clear costs.
Adjust monthly token usage to compare estimated API costs.
1 M = 1 million tokens · USD
Compares base text-token rates within the same channel
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
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.