Pricing
Featured models
Featured models
scx.ai
117B MoE model fine-tuned for Australian context with sovereign data handling, served only from Australian infrastructure, with reasoning, native tool use and a 128k context window
Context
128k
Max output
128k
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Contact us for pricingscx.ai
High performance coding assistant with reasoning, optimised for algorithms, debugging, and code review, with native tool use and a 192k context, served only from Australian infrastructure
Context
192k
Max output
64k
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Contact us for pricingZ AI
Z AI’s flagship, extending GLM-5.2’s long-horizon agentic reasoning and coding across a 1M context, with tool use and a thinking mode
Context
1M
Max output
128k
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DeepSeek
DeepSeek’s first causal encoder-decoder model: a 552B multimodal MoE (8B active on prefill, 16B on decode) built for input-heavy agentic work, with text and image input, adjustable reasoning effort, tool use and a 1M context
Context
1M
Max output
375k
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MiniMax
428B MoE (roughly 23B active) from MiniMax, combining reasoning, agentic coding and native image and video input in one open-weight model, on a 1M context built on MiniMax Sparse Attention, with roughly a twentieth of the per-token compute of MiniMax M2
Context
1M
Max output
128k
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Contact us for pricingGoogle Gemma 4 31B dense instruction-tuned multimodal model (text and image in) with a toggleable thinking mode, native tool use, 128k context, and 140+ language coverage
Context
128k
Max output
8k
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Contact us for pricingMoonshot AI
Moonshot AI's newest flagship MoE model, extending Kimi-2.7 with stronger reasoning and agentic tool-use performance across a 1M context window
Context
1M
Max output
1M
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Alibaba · Preview
Alibaba’s largest and most capable flagship, a 2.4T sparse MoE (95B active) that is natively multimodal over text, image, and video, built for coding, professional work, and long-horizon agentic execution. 1M context
Context
1M
Max output
125k
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