apertus
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View details ↗DISCOVER & COMPARE
Explore AI models 44
bamba
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View details ↗deepseek-v4
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View details ↗deepseek-v4.1-flash-1017
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View details ↗dory-1.0
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View details ↗falcon-h1
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View details ↗gemma-3
tiny-randomThis tiny model is for debugging. It is randomly initialized with the config adapted from google/gemma-3-27b-it.
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View details ↗gemma-4-dense
tiny-randomThis tiny model is intended for debugging. It is randomly initialized using the configuration adapted from google/gemma-4-31B-it.
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View details ↗gemma-4-moe
tiny-randomThis tiny model is intended for debugging. It is randomly initialized using the configuration adapted from google/gemma-4-26B-A4B-it.
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View details ↗gemma-4-e
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View details ↗glm-4
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View details ↗glm-4.7-flash
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View details ↗glm-4-moe
tiny-randomThis tiny model is for debugging. It is randomly initialized with the config adapted from zai-org/GLM-4.5. Note: The `transformers` implementation does not have multi-token prediction (MTP) support. So you might see some "weights not loaded" warnings. This is expected.
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View details ↗glm-4v
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View details ↗glm-4v-moe
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View details ↗glm-5
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View details ↗glm-5.2
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View details ↗glm-ocr
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View details ↗gpt-oss
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View details ↗gpt-oss-bf16
tiny-randomThis tiny model is for debugging. It is randomly initialized with the config adapted from openai/gpt-oss-120b.
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View details ↗gpt-oss-mxfp4
tiny-randomThis tiny model is for debugging. It is randomly initialized with the config adapted from openai/gpt-oss-120b.
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View details ↗granite-moe-hybrid
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View details ↗kimi-k3
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View details ↗lfm2
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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.