DeepSeek vs Inference.net

Both sell cheap open-model inference, from opposite angles: DeepSeek through a first-party API with off-peak rates, Inference.net through spare GPU capacity, big batch windows and custom distillation.

By The Subconscious Team · Updated September 30, 2026

DeepSeek vs Inference.net: key differences

DeepSeek makes its models cheap at the source. V4.1 Flash costs $0.30 in and $1.20 out at peak, V4 Pro $1.32 in and $3.96 out, and every off-peak hour is half. Inference.net makes compute cheap by buying idle GPU time across data centers and passing the discount on. Its OpenAI-compatible Batch API takes up to 1M requests per file with completion windows from 24 hours to 7 days. It does not publish its own model family. Instead it serves catalog models and customer fine-tunes, and it routes open, closed or custom models through one gateway.

Inference.net's distinct offer is the loop from traces to a custom model: capture production traffic, turn it into eval and training data, fine-tune a task-specific model and deploy it on a dedicated GPU with a 99.99% uptime target. DeepSeek's MIT weights are a reasonable base for that kind of fine-tune. For real-time agents, DeepSeek's API is the more direct fit, since Inference.net's spare capacity suits batch over strict real-time SLAs. For huge offline jobs or distilling a narrow task, Inference.net is worth testing, though independent benchmarks are scarce.

What DeepSeek and Inference.net do

DeepSeek

DeepSeek is the Chinese lab whose open-weight models reset price expectations for the whole market. Its API now serves two models, both with 1M context and 384K max output. V4.1 Flash shipped September 10, 2026 with built-in image understanding at $0.30 in and $1.20 out at peak. V4 Pro, generally available since August 13, costs $1.32 in and $3.96 out at peak. 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, DeepSeek V4 Pro

Full DeepSeek profile

Inference.net

Inference.net started as a buyer of last resort for idle GPU time. Its scheduler aggregates small unused chunks of capacity across data centers and runs models on them, and it passes the steep discounts it gets from those data centers on to customers. That origin still shows in its OpenAI-compatible Batch API, which takes up to 1M requests per file with completion windows from 24 hours to 7 days and far higher headroom than synchronous limits.

Example models: open catalog models plus customer fine-tunes served on dedicated GPUs

Full Inference.net profile

Should you choose DeepSeek or Inference.net?

DeepSeek

Choose DeepSeek for

Real-time agents on cheap first-party pricing
Workloads that fit within off-peak windows
Very long outputs up to 384K tokens

Inference.net

Choose Inference.net for

Offline jobs of up to 1M requests per file
Distilling production traces into a custom model
Routing open and closed models behind one key

DeepSeek vs Inference.net at a glance

Attribute	DeepSeek	Inference.net
Model access	Open weights (MIT)	Open, closed and custom
Flagship models	DeepSeek V4.1 Flash, V4 Pro	Customer fine-tunes
Speed	~35 tok/s on V4 Pro	Batch windows of 24h to 7 days
Price	Off-peak hours at half price	Discounted spare GPU capacity
Customization	Open weights to fine-tune	Distill traces into custom models
Deployment	First-party API, Hugging Face weights	Batch API, gateway, dedicated GPUs
Long context	1M, 384K max output	Varies by model

Frequently asked questions

What is the difference between DeepSeek and Inference.net?

When should I choose DeepSeek over Inference.net?

Real-time agents on cheap first-party pricing; Workloads that fit within off-peak windows; Very long outputs up to 384K tokens.

When should I choose Inference.net over DeepSeek?

Offline jobs of up to 1M requests per file; Distilling production traces into a custom model; Routing open and closed models behind one key.

Is DeepSeek or Inference.net cheaper?

DeepSeek: Off-peak hours at half price. Inference.net: Discounted spare GPU capacity. The cheaper choice depends on the model and workload.

Which has more context, DeepSeek or Inference.net?

DeepSeek: 1M, 384K max output. Inference.net: Varies by model.

Related comparisons

Running long-horizon agents?

If your agents run past 200K tokens, compare both against Subconscious. Our inference stack treats a long-horizon trace as the primary workload, so speed, cost, and accuracy hold up deep into the trace.

Subconscious vs DeepSeek Subconscious vs Inference.net