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Models
Every model in the catalog with source-linked pricing, context limits, provider availability, and published benchmark results.
LFM2.5-24B-A2B is a mixture-of-experts reasoning model from Liquid AI with 24B total and 2.45B active parameters. It always reasons before answering and is built for agents that call tools. Liquid...
Gemini 4 Argon is Google's flagship reasoning model, built for complex software engineering, deep mathematical and scientific problem solving, and autonomous multi-step agents. Google trained it to keep context across...
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No provider description is available for this model yet.
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This model always redirects to the latest model in the Pareto family.
Pareto is a multimodal composite model built for research, coding, and agentic workflows, while delivering frontier-level performance across a broad range of general-purpose tasks.
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No provider description is available for this model yet.
No provider description is available for this model yet.
NVIDIA Nemotron 3.5 Super VL is an open multimodal mixture-of-experts model from NVIDIA, with 12B active parameters out of 120B total. It takes text, images, documents, GUI screenshots, and video...
NVIDIA Nemotron 3.5 Super VL is an open multimodal mixture-of-experts model from NVIDIA, with 12B active parameters out of 120B total. It takes text, images, documents, GUI screenshots, and video...
No provider description is available for this model yet.
No provider description is available for this model yet.
No provider description is available for this model yet.
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| Model | Creator | Inputs | Context | Input | Output | Released | Compare |
|---|---|---|---|---|---|---|---|
| claude-fable-5-5azure_ai/claude-fable-5-5 | 1M | $10 | $50 | — | |||
| LiquidAI: LFM2.5-24B-A2Bliquid/lfm-2.5-24b-a2b | 128K | $0.05 | $0.7 | — | |||
| Google: Gemini 4 Argon (batch)google/gemini-4-argon:batch | 1.04858M | $1 | $5 | — | |||
| deepseek-v4-pro-0813tencent/deepseek-v4-pro-0813 | 1M | $1.32 | $3.96 | — | |||
| deepseek-v4.1-flashtencent/deepseek-v4.1-flash | 1M | $0.3 | $1.2 | — | |||
| glm-5.3-flashxtencent/glm-5.3-flashx | 1M | $0.37 | $1.25 | — | |||
| glm-5.3-flashtencent/glm-5.3-flash | 1M | $0.15 | $0.5 | — | |||
| glm-5.3tencent/glm-5.3 | 1M | $1.4 | $4.4 | — | |||
| glm-5.2tencent/glm-5.2 | 1M | $1.4 | $4.4 | — | |||
| kimi-k3tencent/kimi-k3 | 1M | $3 | $15 | — | |||
| kimi-k2.8-previewtencent/kimi-k2.8-preview | 1M | $1 | $4 | — | |||
| kimi-k2.7-code-highspeedtencent/kimi-k2.7-code-highspeed | 256K | $1.9 | $8 | — | |||
| kimi-k2.7-codetencent/kimi-k2.7-code | 256K | $0.95 | $4 | — | |||
| gemini-4-argongemini/gemini-4-argon | 1.04858M | $2 | $10 | — | |||
| gemini-4-argonvertex_ai/gemini-4-argon | 1.04858M | $2 | $10 | — | |||
| gemini-4-argon-cyber-permissivevertex_ai/gemini-4-argon-cyber-permissive | 1.04858M | $4 | $20 | — | |||
| gemini-4-argongithub_copilot/gemini-4-argon | 200K | $2 | $10 | — | |||
| Pareto Latest~unbiased/pareto-latest | 1.04858M | $0.8 | $3.2 | — | |||
| Pareto 26.9unbiased/pareto-26.9 | 262.144K | $2.5 | $7.5 | — | |||
| DeepSeek-V4.1-flashscx-ai/deepseek-v4.1-flash | 1M | $0.15 | $0.6 | — | |||
| GLM-5.3scx-ai/glm-5.3 | 1M | $0.98 | $3.08 | — | |||
| Kimi-K3scx-ai/kimi-k3 | 1M | $2.83 | $14.13 | — | |||
| NVIDIA: Nemotron 3.5 Super VLnvidia/nemotron-3.5-super-vl | 262.144K | $0.15 | $0.5 | — | |||
| NVIDIA: Nemotron 3.5 Super VL (free)nvidia/nemotron-3.5-super-vl:free | 1M | Free | Free | — | |||
| deepseek-ai/DeepSeek-V3inferenceapis/deepseek-ai/deepseek-v3 | 1.04858M | $0.19 | $0.38 | — | |||
| deepseek-ai/DeepSeek-V4-Flashinferenceapis/deepseek-ai/deepseek-v4-flash | 1.04858M | $0.19 | $0.38 | — | |||
| deepseek-ai/DeepSeek-V4-Flash-0731inferenceapis/deepseek-ai/deepseek-v4-flash-0731 | 1.04858M | $0.19 | $0.38 | — | |||
| deepseek-ai/DeepSeek-V4-Proinferenceapis/deepseek-ai/deepseek-v4-pro | 1.04858M | $1.72 | $5.15 | — | |||
| deepseek-ai/DeepSeek-V4-Pro-0813inferenceapis/deepseek-ai/deepseek-v4-pro-0813 | 1.04858M | $1.72 | $5.15 | — | |||
| deepseek-ai/DeepSeek-V4.1-Flashinferenceapis/deepseek-ai/deepseek-v4.1-flash | 1.04858M | $0.4 | $1.6 | — | |||
| deepseek-chatinferenceapis/deepseek-chat | 1.04858M | $0.19 | $0.38 | — | |||
| deepseek-flashinferenceapis/deepseek-flash | 1.04858M | $0.4 | $1.6 | — | |||
| deepseek-reasonerinferenceapis/deepseek-reasoner | 1.04858M | $0.19 | $0.38 | — | |||
| deepseek-v3inferenceapis/deepseek-v3 | 1.04858M | $0.19 | $0.38 | — | |||
| deepseek-v4-flashinferenceapis/deepseek-v4-flash | 1.04858M | $0.19 | $0.38 | — | |||
| deepseek-v4-proinferenceapis/deepseek-v4-pro | 1.04858M | $1.72 | $5.15 | — | |||
| deepseek-v4.1-flashinferenceapis/deepseek-v4.1-flash | 1.04858M | $0.4 | $1.6 | — | |||
| glm-5.3inferenceapis/glm-5.3 | 1.04858M | $1.82 | $5.72 | — | |||
| glm-5.3-flashinferenceapis/glm-5.3-flash | 1.04858M | $0.2 | $0.66 | — | |||
| gpt-oss-120binferenceapis/gpt-oss-120b | 131.072K | $0.2 | $0.8 | — | |||
| gpt-oss-20binferenceapis/gpt-oss-20b | 131.072K | $0.04 | $0.19 | — | |||
| kimi-k2.7-codeinferenceapis/kimi-k2.7-code | 262.144K | $0.89 | $4.42 | — | |||
| llama-3.1-8b-instantinferenceapis/llama-3.1-8b-instant | 131.072K | $0.2 | $0.5 | — | |||
| llama-3.3-70binferenceapis/llama-3.3-70b | 131.072K | $0.2 | $0.5 | — | |||
| llama-3.3-70b-instructinferenceapis/llama-3.3-70b-instruct | 131.072K | $0.2 | $0.5 | — | |||
| llama-3.3-70b-versatileinferenceapis/llama-3.3-70b-versatile | 131.072K | $0.2 | $0.5 | — | |||
| meta-llama/Llama-3.3-70B-Instructinferenceapis/meta-llama/llama-3.3-70b-instruct | 131.072K | $0.2 | $0.5 | — | |||
| meta-llama/Llama-3.3-70B-Instruct-Turboinferenceapis/meta-llama/llama-3.3-70b-instruct-turbo | 131.072K | $0.2 | $0.5 | — | |||
| minimax-m3inferenceapis/minimax-m3 | 524.288K | $0.39 | $1.56 | — | |||
| MiniMaxAI/MiniMax-M3inferenceapis/minimaxai/minimax-m3 | 524.288K | $0.39 | $1.56 | — |