DeepSeek-V3.1 is a 1.3T-parameter Mixture-of-Experts model with 236B active parameters per token. It features enhanced reasoning capabilities, extended 1M token context window, and improved multilingual support with advanced tool usage and code generation capabilities.

GPT-OSS-120B is OpenAI's open-source 120-billion-parameter transformer model featuring architectural innovations from GPT-4. Optimized for large-scale deployment with custom FP8 quantization, it delivers state-of-the-art reasoning capabilities while maintaining 3× better throughput than comparable models. Includes constitutional AI safeguards and deterministic output options.

GPT-OSS-20B is OpenAI's efficiency-optimized 20-billion-parameter transformer featuring architectural innovations from GPT-4. Designed for accessible deployment, it delivers 85% of GPT-OSS-120B's capability at 6× lower resource requirements. Includes sparse attention mechanisms, constitutional AI safeguards, and deterministic output options.

Qwen3.5-397B-A17B is Alibaba Cloud's largest open-weights multimodal foundation model. Unifying the previously separate text and vision lines, it features a hybrid Mixture-of-Experts architecture with early fusion vision-language training. It operates in thinking mode by default and delivers state-of-the-art performance across chat, reasoning, tool-calling, and complex agentic workflows.

Qwen3.6-27B is Alibaba's multimodal hybrid-thinking model prioritizing stability and real-world utility. It delivers top performance for its size, supports a 256K context window across 201 languages, and excels in agentic coding, vision, and chat tasks. It features a new option to preserve reasoning context from historical messages.

Qwen3.6-35B-A3B is a Mixture-of-Experts (MoE) vision-language model with 35B total and 3B activated parameters. It is built for agentic coding and repository-level reasoning, and features a 262K context length with thinking preservation capabilities.

Inkling is a flagship open-weights multimodal Mixture-of-Experts (MoE) model from Thinking Machines Lab featuring 975B total parameters with 41B active per token. It natively processes text, image, and audio inputs and supports a 256K context window. The model offers a controllable 'thinking-effort' dial to balance compute cost against reasoning quality, excelling across coding, agentic workflows, and general reasoning tasks.

Inkling-Small is a general-purpose multimodal Mixture-of-Experts (MoE) model featuring 266B total parameters with only 12B active during inference. Natively processing text, image, and audio inputs, it supports a 256K token context window and variable thinking effort. Despite being a quarter of the size of the flagship Inkling model, it matches or exceeds its predecessor on key coding and agentic tasks while requiring significantly less compute.

thinkingmachines models on OneInfer

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thinkingmachines model catalog

Model	Category	Input	Output	Context	Pricing
DeepSeek: DeepSeek V3.1 546eee12b8694b94b96d9f3e6fa31dda	text	text	text	100K	$1.695 in / $4.215 out
OpenAI: GPT Oss 120B edf00af1ab9143e4977c7c1e3cd15e89	text	text	text	128K	$0.330 in / $0.840 out
OpenAI: GPT Oss 20B 4036829a707a4312a94e29f45edc5f21	text	text	text	64K	$0.180 in / $0.450 out
Qwen: Qwen3.5 397B A17b 24230381bcfa4677a991df00e91c9dae	text	text, image	text	262K	$1.650 in / $7.500 out
Qwen: Qwen3.6 27B 4458152f35c74b359d21a88e8671a4b5	text	text, image	text	262K	$1.860 in / $5.595 out
Qwen: Qwen3.6 35B A3B c84905ee905e47ddb59767ccdf67a577	text	text, image	text	256K	$0.450 in / $1.335 out
Thinking Machines: Inkling 15ee5cd3c9fc4100979ec27bc34a4188	text	text, image	text	256K	$1.000 in / $4.050 out
Thinking Machines: Inkling Small c9d86269398e4eba933161b9021fd592	text	text, image	text	256K	$0.300 in / $1.200 out