Moonshot AI vs Inference.net

Moonshot sells a frontier open model; Inference.net sells batch on spare GPUs and a pipeline that turns traffic into smaller custom models. They can work in sequence.

By The Subconscious Team · Updated September 30, 2026

Moonshot AI vs Inference.net: key differences

Inference.net's pitch is to replace a narrow workload on an expensive model with a smaller fine-tuned one. Its Inference Gateway routes traffic to open, closed or custom models under one key, captures each request, and turns that traffic into eval and training datasets. It then fine-tunes a task-specific model and deploys it on a dedicated GPU with a 99.99% uptime target. Kimi K3, at $3 in and $15 out and around 33 tokens per second, is the kind of strong but costly model a team might distill away from once a task stabilizes. Worth checking whether the gateway routes to Kimi directly.

For offline work, the two trade quality against cost. Inference.net's OpenAI-compatible Batch API takes up to 1M requests per file with windows from 24 hours to 7 days, on discounted spare capacity. Moonshot's strength is capability on hard tasks, with K3 at 93.4% on SWE-bench Verified in Vals AI's neutral test and third on the Artificial Analysis Intelligence Index. Inference.net has few independent benchmarks or public pricing comparisons, so its savings rest on vendor numbers. Use K3 for hard, open-ended steps and test Inference.net on narrow, high-volume ones.

What Moonshot AI and Inference.net do

Moonshot AI

Moonshot AI is the Beijing lab behind the Kimi models. Its flagship Kimi K3 launched July 16, 2026 as a 2.8 trillion parameter mixture-of-experts model that activates 16 of 896 experts per token, with native vision and a 1M token context. It is the first open model in the 3T class, and full weights landed on Hugging Face on July 27. The hosted API costs $3 in and $15 out per million tokens, with cached input at $0.30, and it runs through an OpenAI-compatible endpoint, Kimi Code in the terminal, OpenRouter and Cloudflare Workers AI.

Example models: Kimi K3, Kimi K2.6

Full Moonshot AI 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 Moonshot AI or Inference.net?

Moonshot AI

Choose Moonshot AI for

Hard, open-ended coding and research tasks
Document-heavy agents that need 1M context
Teams that want benchmark-backed open weights

Inference.net

Choose Inference.net for

Distilling a stable narrow task into a smaller custom model
Large offline extraction or classification jobs
Capturing traffic as eval and training data

Moonshot AI vs Inference.net at a glance

Attribute	Moonshot AI	Inference.net
Model access	Open weights, custom license	Open, closed and custom
Flagship models	Kimi K3, Kimi K2.6	Customer fine-tunes
Speed	~33 tok/s on Kimi K3	Batch windows of 24h to 7 days
Price	$3 in, $15 out (Kimi K3)	Discounted spare GPU capacity
Customization	Open weights to fine-tune	Distill traces into custom models
Deployment	API, Kimi Code, OpenRouter	Batch API, gateway, dedicated GPUs
Long context	1M	Varies by model

Frequently asked questions

What is the difference between Moonshot AI and Inference.net?

Moonshot sells a frontier open model; Inference.net sells batch on spare GPUs and a pipeline that turns traffic into smaller custom models. They can work in sequence.

When should I choose Moonshot AI over Inference.net?

Hard, open-ended coding and research tasks; Document-heavy agents that need 1M context; Teams that want benchmark-backed open weights.

When should I choose Inference.net over Moonshot AI?

Distilling a stable narrow task into a smaller custom model; Large offline extraction or classification jobs; Capturing traffic as eval and training data.

Is Moonshot AI or Inference.net cheaper?

Moonshot AI: $3 in, $15 out (Kimi K3). Inference.net: Discounted spare GPU capacity. The cheaper choice depends on the model and workload.

Which has more context, Moonshot AI or Inference.net?

Moonshot AI: 1M. 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 Moonshot AI Subconscious vs Inference.net