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Moonshot AI vs Venice
Moonshot sells Kimi K3 direct at $3 in and $15 out. Venice also hosts Kimi K3, under zero data retention and next to 370+ other models.
By The Subconscious Team · Updated
Moonshot AI vs Venice: key differences
Kimi K3 is the shared model. Moonshot built it, a 2.8 trillion parameter mixture-of-experts with native vision and 1M context, and independent testers largely confirmed its claims, with Vals AI scoring it 93.4% on SWE-bench Verified. Moonshot's API charges $3 in and $15 out, with cached input at $0.30, over an OpenAI-compatible endpoint, plus Kimi Code in the terminal and the cheaper Kimi K2.6 at $0.95 in and $4 out. Demand overran its GPUs after launch, and new subscriptions paused on July 19 before reopening in batches. Venice lists Kimi K3 among its private-tier models, but no Venice-specific K3 price is documented here, so cost comparisons need a check of Venice's current sheet.
Venice's case in this matchup is data handling and breadth. It runs open models like Kimi K3 under contract-enforced zero retention, with TEE or end-to-end encryption on select models, and puts GLM 5.3, DeepSeek V4, uncensored fine-tunes and proxied closed models behind the same key. Moonshot is the direct source, with first access to new Kimi releases and a documented $0.30 cached input rate. K3 always thinks, so it is verbose on any host, and it runs around 33 tokens per second on Moonshot's API. Self-hosting needs a 64+ accelerator cluster, so a managed host is the realistic path for most teams. Repo-scale coding with Kimi Code fits Moonshot; private multi-model apps fit Venice.
What Moonshot AI and Venice 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 profileVenice
Venice is a privacy-focused AI platform founded in 2024 by Erik Voorhees, the crypto entrepreneur behind ShapeShift. It pairs a consumer chat app with a developer API that works as a drop-in replacement for OpenAI's chat endpoint and covers text, image, audio and video across 370+ models. Open models such as GLM 5.3, Kimi K3, DeepSeek V4 and Venice's own uncensored fine-tunes run under a private tier with contract-enforced zero data retention, and some add TEE inference or end-to-end encryption, where only an attested enclave can decrypt the prompt. Closed models from Anthropic, OpenAI and Google are proxied under an anonymized tier that hides user identity but leaves prompt content visible to the upstream provider.
Example models: GLM 5.3, Kimi K3, Venice Uncensored 1.2
Full Venice profileShould you choose Moonshot AI or Venice?
Moonshot AI
Choose Moonshot AI for
- Repo-scale coding with Kimi Code in the terminal
- Cached K3 input at $0.30 per million
- Cheaper Kimi K2.6 for lighter tasks
Venice
Choose Venice for
- Kimi K3 under zero data retention
- Switching between Kimi, GLM and DeepSeek on one key
- Crypto or DIEM-funded inference
Moonshot AI vs Venice at a glance
| Attribute | Moonshot AI | Venice |
|---|---|---|
| Model access | Open weights, custom license | Open weights, plus proxied closed models |
| Flagship models | Kimi K3, Kimi K2.6 | GLM 5.3, Kimi K3, DeepSeek V4 Pro |
| Speed | ~33 tok/s on Kimi K3 | Unknown |
| Price | $3 in, $15 out (Kimi K3) | $0.06–$12 in, $0.28–$60 out per 1M; DIEM staking |
| Customization | Open weights to fine-tune | Unknown |
| Deployment | API, Kimi Code, OpenRouter | Serverless API, consumer app |
| Long context | 1M | 1M on most current models |
Frequently asked questions
What is the difference between Moonshot AI and Venice?
Moonshot sells Kimi K3 direct at $3 in and $15 out. Venice also hosts Kimi K3, under zero data retention and next to 370+ other models.
When should I choose Moonshot AI over Venice?
Repo-scale coding with Kimi Code in the terminal; Cached K3 input at $0.30 per million; Cheaper Kimi K2.6 for lighter tasks.
When should I choose Venice over Moonshot AI?
Kimi K3 under zero data retention; Switching between Kimi, GLM and DeepSeek on one key; Crypto or DIEM-funded inference.
Is Moonshot AI or Venice cheaper?
Moonshot AI: $3 in, $15 out (Kimi K3). Venice: $0.06–$12 in, $0.28–$60 out per 1M; DIEM staking. The cheaper choice depends on the model and workload.
Which has more context, Moonshot AI or Venice?
Moonshot AI: 1M. Venice: 1M on most current models.
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