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From language to images, open weights to APIs. Understand capabilities and compare real costs.
Find the right engine for your next idea.
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- `model.onnx`, copied from `lion-ai/gliner2-base-v1-onnx` - `model.safetensors`, copied from `fastino/gliner2-base-v1` - tokenizer and GLiNER2 sidecars from the upstream/base bundle Antfly Inference reads `antfly_inference_variants.json` and resolves complete encoder/head pairs as `gliner2_split_bundle/v1` at load time. Relation extraction is advertised as a capability and is driven through the extraction schema.
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This is a series of models designed to replicate the prose quality of the Claude 3 models, specifically Sonnet and Opus. We'd like to thank Recursal / Featherless for sponsoring the compute for this train, Featherless has been hosting our Magnum models since the first 72 B and has given thousands of people access to our models and helped us grow. The training was done for 2 epochs. We used 8xH100s GPUs graciously provided by Recursal AI / Featherless AI for the full-parameter fine-tuning of the model.
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This is a series of models designed to replicate the prose quality of the Claude 3 models, specifically Sonnet(https://openrouter.ai/anthropic/claude-3.5-sonnet) and Opus(https://openrouter.ai/anthropic/claude-3-opus). The model is fine-tuned on top of Qwen2.5 72B.
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Adjust provider, category or input/output filters. New models are added continuously.
Adjust monthly token usage to compare estimated API costs.
Uses collected, comparable USD-per-million-token rates. Snapshots exclude cache discounts, tiers, extra reasoning output and taxes. Check current source prices.
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.
Not necessarily. Check each version’s license, commercial restrictions and policies. Self-hosting also incurs compute and maintenance costs.
Rankings depend on tasks, versions and methods. Compare accuracy, latency, reliability and costs on your own workload.