DeepSeek vs General Compute

DeepSeek sells its own MIT-licensed models at low first-party prices. General Compute hosts older DeepSeek versions on ASIC decode in the US.

By The Subconscious Team · Updated October 27, 2026

DeepSeek vs General Compute: key differences

DeepSeek's V4.1 Flash has 1M context and 384K max output at $0.30 in and $1.20 out per million tokens at peak, with every off-peak hour at half price and cache hits at a few cents. Hosted API data is stored in China. General Compute serves DeepSeek V3.2 with 32K context at $0.25 in and $0.38 out and DeepSeek V3.1 with 128K at $0.21 in and $0.79 out, plus MiniMax M2.7 and GPT-OSS 120B, from us-west-2. It runs decode on ASICs and reports over 1,000 tokens per second on GPT-OSS 120B in its own benchmark.

DeepSeek is the pick for its newest model, long contexts and the cheapest cached input, especially for work scheduled off-peak. General Compute fits teams that want a US-hosted endpoint for DeepSeek weights, faster decode or custom fine-tunes behind a private model ID. Its DeepSeek versions are older than V4.1 Flash and carry far shorter context.

What DeepSeek and General Compute do

DeepSeek

DeepSeek is the Chinese lab whose open-weight models reset price expectations for the whole market. Its main model is V4.1 Flash, with 1M context and 384K max output, which shipped September 10, 2026 with built-in image understanding at $0.30 in and $1.20 out at peak. DeepSeek is phasing out V4 Pro: since September 14, deepseek-v4-pro requests route to V4.1 Flash at Flash rates until V4.1 Pro launches. Cache hits cost a few cents per million or less, and the weights ship on Hugging Face under an MIT license.

Example models: DeepSeek V4.1 Flash

Full DeepSeek profile

General Compute

General Compute is a San Francisco inference cloud built on alternative chips. It splits each request across hardware, with NVIDIA GPUs handling prefill and ASICs from Cerebras, SambaNova, Positron AI and d-Matrix handling decode. In its own open benchmark on GPT-OSS 120B it measured 1,025 to 1,234 output tokens per second against 100 to 121 on an unnamed GPU cloud, and up to 16.2x faster end to end. Founders Finn Puklowski and Jason Goodison raised a $15M seed led by FUSE, an up to $400M debt facility from Upper90 and, on October 27, 2026, a $100M Series A co-led by Blackbird and Abstract.

Example models: MiniMax M2.7, DeepSeek V3.2, GPT-OSS 120B

Full General Compute profile

Should you choose DeepSeek or General Compute?

DeepSeek

Choose DeepSeek for

Newest DeepSeek model with 1M context
Off-peak batch work at half price
Cheap cache hits

General Compute

Choose General Compute for

US-hosted DeepSeek endpoints
Fast decode on open models
Private fine-tuned checkpoints

DeepSeek vs General Compute at a glance

Attribute	DeepSeek	General Compute
Model access	Open weights (MIT)	Open weights
Flagship models	DeepSeek V4.1 Flash	MiniMax M2.7, DeepSeek V3.2, GPT-OSS 120B
Speed	~209 tok/s on V4.1 Flash	1,000+ tok/s on GPT-OSS 120B (vendor)
Price	Off-peak hours at half price	$0.21–$0.28 in, $0.38–$1.20 out per 1M
Customization	Open weights to fine-tune	Custom LoRA and fine-tuned checkpoints
Deployment	First-party API, Hugging Face weights	Serverless API, dedicated racks, bare metal
Long context	1M, 384K max output	192K (MiniMax M2.7)

Frequently asked questions

What is the difference between DeepSeek and General Compute?

DeepSeek sells its own MIT-licensed models at low first-party prices. General Compute hosts older DeepSeek versions on ASIC decode in the US.

When should I choose DeepSeek over General Compute?

Newest DeepSeek model with 1M context; Off-peak batch work at half price; Cheap cache hits.

When should I choose General Compute over DeepSeek?

US-hosted DeepSeek endpoints; Fast decode on open models; Private fine-tuned checkpoints.

Is DeepSeek or General Compute cheaper?

DeepSeek: Off-peak hours at half price. General Compute: $0.21–$0.28 in, $0.38–$1.20 out per 1M. The cheaper choice depends on the model and workload.

Which has more context, DeepSeek or General Compute?

DeepSeek: 1M, 384K max output. General Compute: 192K (MiniMax M2.7).

Related comparisons

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