Moonshot AI vs OpenScale

Moonshot sells Kimi K3, a 3T-class open model built for hard coding. OpenScale sells the smaller DeepSeek V4.1 Flash at very low prices.

By The Subconscious Team · Updated October 11, 2026

Moonshot AI vs OpenScale: key differences

Kimi K3 is a 2.8 trillion parameter open model with a 1M context that scored near closed frontier models on SWE-bench Verified. It costs $3 in and $15 out per million tokens with cached input at $0.30, always thinks and runs around 33 tokens per second. OpenScale serves DeepSeek V4.1 Flash with the same 1M context at $0.06 in, $0.003 cached and $0.24 out under a 50% promotion, at 200+ tokens per second.

Kimi K3 is the pick when task quality on hard repository work matters more than speed or cost. OpenScale is the pick for high-volume agent loops where a fast, cheap model is good enough, and it plugs into Claude Code, Codex and other agents through Anthropic and OpenAI formats.

What Moonshot AI and OpenScale 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 K2.8 Preview

Full Moonshot AI profile

OpenScale

OpenScale is a Y Combinator-backed inference API built by LatentSpace and run out of Singapore. It sells open models behind one endpoint that speaks Chat Completions, the OpenAI Responses API and Anthropic Messages, so Claude Code, Codex, OpenCode, Cline, GitHub Copilot, Zed and other coding agents can point at it with a base URL and key. Its public catalog today is DeepSeek V4.1 Flash in two versions, standard and fast, both with a 1M token context window and up to 384K output tokens.

Example models: DeepSeek V4.1 Flash

Full OpenScale profile

Should you choose Moonshot AI or OpenScale?

Moonshot AI

Choose Moonshot AI for

Hard coding on huge repositories
One of the most capable open models
Kimi Code in the terminal

OpenScale

Choose OpenScale for

Fast, cheap agent loops
Cache-heavy traffic at $0.003 per million cached tokens
Zero data retention by default

Moonshot AI vs OpenScale at a glance

Attribute	Moonshot AI	OpenScale
Model access	Open weights, custom license	Open weights
Flagship models	Kimi K3, Kimi K2.8 Preview	DeepSeek V4.1 Flash
Speed	~33 tok/s on Kimi K3	200+ tok/s; fast tier ~2x
Price	$3 in, $15 out (Kimi K3)	$0.06 in, $0.24 out (promo, DeepSeek V4.1 Flash)
Customization	Open weights to fine-tune	N/A
Deployment	API, Kimi Code, OpenRouter	Serverless API
Long context	1M	1M context

Frequently asked questions

What is the difference between Moonshot AI and OpenScale?

Moonshot sells Kimi K3, a 3T-class open model built for hard coding. OpenScale sells the smaller DeepSeek V4.1 Flash at very low prices.

When should I choose Moonshot AI over OpenScale?

Hard coding on huge repositories; One of the most capable open models; Kimi Code in the terminal.

When should I choose OpenScale over Moonshot AI?

Fast, cheap agent loops; Cache-heavy traffic at $0.003 per million cached tokens; Zero data retention by default.

Is Moonshot AI or OpenScale cheaper?

Moonshot AI: $3 in, $15 out (Kimi K3). OpenScale: $0.06 in, $0.24 out (promo, DeepSeek V4.1 Flash). The cheaper choice depends on the model and workload.

Which has more context, Moonshot AI or OpenScale?

Moonshot AI: 1M. OpenScale: 1M context.

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 OpenScale