MiniMax-H3-LightVAE
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View details ↗DISCOVER & COMPARE
Explore AI models 84991
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View details ↗Pyramids
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View details ↗Quokka_2.7b
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View details ↗Quokka_256m
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View details ↗Tiny-Moe
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View details ↗whisper-large-v3-turbo-russian
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View details ↗10EROS_1.4_Int8_ConvRot
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View details ↗10EROS_Int4
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View details ↗10EROS-INT8
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View details ↗moondream2-2b-q4_k_m-gguf
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View details ↗piccolo_gorgone
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View details ↗This is a quantization of the Llama-3.3-70B-Instruct. The Meta Llama 3.3 is a state-of-the-art multilingual large language model (LLM) with 70 billion parameters, pretrained and instruction-tuned for exceptional performance in generative text-based tasks. Optimized for multilingual dialogue, it supports English and seven additional languages: French, German, Hindi, Italian, Portuguese, Spanish, and Thai, enabling seamless communication across diverse audiences. The model consistently outperforms both open-source and proprietary chat models on key industry benchmarks, delivering superior quality, safety, and helpfulness. Its advanced features and multilingual support position Llama 3.3 as a powerful tool for building innovative AI applications. This model provides an accuracy recovery of 99.67%. We did not check for data contamination. Evaluation was done using Eval. Harness with `limit=1000`.
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View details ↗aya
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View details ↗cogito-v1
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View details ↗deepseek-r1
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View details ↗deepseek-r1-distill-qwen-1.5b
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View details ↗gemma2
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View details ↗gemma3
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View details ↗hermes3
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View details ↗llama3.1
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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.