vs
OpenAI vs Moonshot AI
GPT-5.6 Sol scored just ahead of Kimi K3 on a neutral SWE-bench run. The real split is closed convenience versus the strongest open weights, cheaper but slower.
By The Subconscious Team · Updated
OpenAI vs Moonshot AI: key differences
Kimi K3 is the open model that comes closest to OpenAI on coding. Vals AI scored it 93.4% on SWE-bench Verified with a neutral harness, fourth overall, with GPT-5.6 Sol among the three models ahead of it. Moonshot charges $3 in and $15 out per million tokens with cached input at $0.30, well under GPT-6 Astra's $10 in and $50 out. K3 also has a 1M context window and native vision. Its weights are on Hugging Face, which GPT's are not, though OpenAI does ship open-weight gpt-oss for self-hosting.
K3's costs show up in time. It always thinks, runs around 33 tokens per second and is verbose, so a cheaper token rate can still mean slow, long answers. Demand overran Moonshot's GPUs after launch, and new API subscriptions paused for a stretch. Self-hosting takes a 64+ accelerator cluster, and the custom license adds a commercial agreement above $20M in hosting revenue. OpenAI offers faster options, including Fast mode, on a platform most enterprises already buy. For long-horizon coding on huge repos where waiting is acceptable, K3 is strong value.
What OpenAI and Moonshot AI do
OpenAI
OpenAI runs the most widely adopted closed-model API. Its September 2026 lineup has GPT-6 Astra at the top for computer use, coding and long agentic runs, priced at $10 in and $50 out per million tokens. Below it sits the GPT-5.6 family: Sol for hard professional work, Terra as the balanced default, and Luna for high-volume jobs at $0.20 in and $1.20 out. All of them carry a 1.05M token context window with up to 128K output.
Example models: GPT-6 Astra, GPT-5.6 Terra
Full OpenAI profileMoonshot 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 profileShould you choose OpenAI or Moonshot AI?
OpenAI
Choose OpenAI for
- Interactive products where response speed matters
- Enterprises that want Azure or Bedrock access
- Computer use and multi-tool agents
Moonshot AI
Choose Moonshot AI for
- Long-horizon coding on huge repositories at a lower token price
- Teams that want frontier-class open weights
- Document-heavy research that needs 1M context and vision
OpenAI vs Moonshot AI at a glance
| Attribute | OpenAI | Moonshot AI |
|---|---|---|
| Model access | Closed, plus open gpt-oss | Open weights, custom license |
| Flagship models | GPT-6 Astra, GPT-5.6 Sol, Terra, Luna | Kimi K3, Kimi K2.6 |
| Speed | Fast mode: up to 2.5x at 2x price | ~33 tok/s on Kimi K3 |
| Price | $0.20–$10 in, $1.20–$50 out per 1M | $3 in, $15 out (Kimi K3) |
| Customization | N/A | Open weights to fine-tune |
| Deployment | API, Azure OpenAI, Bedrock | API, Kimi Code, OpenRouter |
| Long context | 1.05M; 2x input past 272K | 1M |
Frequently asked questions
What is the difference between OpenAI and Moonshot AI?
GPT-5.6 Sol scored just ahead of Kimi K3 on a neutral SWE-bench run. The real split is closed convenience versus the strongest open weights, cheaper but slower.
When should I choose OpenAI over Moonshot AI?
Interactive products where response speed matters; Enterprises that want Azure or Bedrock access; Computer use and multi-tool agents.
When should I choose Moonshot AI over OpenAI?
Long-horizon coding on huge repositories at a lower token price; Teams that want frontier-class open weights; Document-heavy research that needs 1M context and vision.
Is OpenAI or Moonshot AI cheaper?
OpenAI: $0.20–$10 in, $1.20–$50 out per 1M. Moonshot AI: $3 in, $15 out (Kimi K3). The cheaper choice depends on the model and workload.
Which has more context, OpenAI or Moonshot AI?
OpenAI: 1.05M; 2x input past 272K. Moonshot AI: 1M.
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.