Kimi K3.1 Pro Highspeed
kimi-k3-1-pro-highspeedkimi-k3.1-pro-highspeed- ⚡ Speed-tuned variant with substantially higher output throughput
- 📏 Massive 1M-token context window
- 👁️ Multimodal reasoning with vision input
- 🔧 Function calling and web search built in
- 🎯 Tuned for latency-sensitive coding and agentic work
- 🏢 Open-weight model from Moonshot AI
Moonshot is an AI research lab known for developing the Kimi family of large language models. The organization has gained recognition for building capable reasoning-oriented models, with the Kimi line representing its flagship series of text generation systems.
Explore 8 more models by Moonshot →Kimi K3.1 Pro Highspeed is the throughput-optimized serving tier of Moonshot AI's open-weight multimodal reasoning flagship, pairing the same underlying quality as Kimi K3.1 Pro with markedly faster token generation. Released in October 2026 alongside the standard variant, it keeps the full one-million-token context window, so long-document analysis, whole-repository reading and extended agent traces remain on the table even at higher speed.
Within Moonshot's Kimi lineup — which spans general-purpose releases like Kimi K3 and Kimi K2.6, the coding-specialised Kimi K2.7 Code, and the low-latency Kimi K3 Fast — the Pro tier represents the top of the capability stack, and Highspeed is the configuration you reach for when response latency matters as much as answer quality. Capabilities include explicit reasoning, vision input, code-optimized generation, function calling and web search.
Best suited to interactive coding assistants, multi-step agentic pipelines and high-volume tool-calling workloads where long context and fast turnaround both matter.
This About section is AI-generated from public sources via VeniceStats + Venice inference, with no human editing. It may contain inaccuracies.
| Seller | Reputation↓ | Routing | Input $/M | Cached $/M | Output $/M | Categories | API |
|---|---|---|---|---|---|---|---|
| ▲ Apex Ant 0x73b4…e736 | 72.15 | #3 | $3.75 | $0.38 | $18.75 | chat, premium | openai-chat-completions |
| Edith AI 0xb269…b1a6 | 70.59 | #1 | $1.188 | $0.0594 | $5.94 | chat, coding | openai-chat-completions |
| attacompute.ai 0xd5e7…7be0 | 64.17 | #2 | $1.30 | $0.13 | $6.50 | chat, coding, reasoning | openai-chat-completions |
| OpenCheap 0x0ee1…6c41 | 59.51 | gated | $5.9052 | $0.6283 | $30.8131 | chat, coding | openai-chat-completions |
| Fire Ant 🔥🐜 0xbe05…bc5d | 50.00 | gated | $5.8952 | $0.6183 | $30.8031 | agent, chat, coding | — |
"Best price" and the seller table are live AntSeed catalog data (advertised $/1M tokens — or $ per generated image for unit-billed image models — not settled amounts). Reputation = buyer trust score (0-100, the AntSeed SDK's own formula). "Routing" = the SDK's default buyer routing (what the VPR desktop app ships with): a trust ≥ 60 gate on the effective reputation, then cheapest-first among routable sellers; live failover state (per-peer cooldowns) is buyer-side runtime and not included. Model knowledge (TLDR, provider, About) via the VeniceStats enrichment layer. Advertised catalog, not the model used in any specific purchase. "Usage on AntSeed" counts only settlements whose buyers share the per-model split on-chain (metadata v2/v3, opt-in), so every usage figure is a lower bound.