In short: deploy AI cheaper, more reliably, and faster
Procure by token, trial pack, monthly volume or per project — turning unpredictable compute capex into a budgetable, auditable operating expense, and a lower total cost of ownership (TCO).
Before you commit, we validate API compatibility, network latency, concurrency, rate limits and access stability — eliminating single-model failure and upstream throttling risk.
No need to build your own GPU cluster: start from model testing and scale into production traffic and a dedicated enterprise setup, avoiding vendor lock-in.
Who we are, what we offer, what we solve
Your Singapore distributor
ByteHorizon Exchange is the Singapore distributor for the Greater Bay Area AI compute program — responsible for client onboarding, commercial liaison, evaluation, delivery and ongoing service across Southeast Asia, and your single point of contact in the region.
Model APIs & token services
Standardized API access for text, code, multimodal, video generation, enterprise knowledge bases (RAG) and agent workflows — bundled with cost modeling, network validation and go-live support.
From pilot to production
We turn the hard parts — model selection, opaque pricing, unstable cross-border access, long evaluation cycles, unclear data boundaries and runaway production cost — into a workable engineering path (LLMOps).
What “AI compute, exported” really means
China's AI compute and large models are abundant and low-cost — the hard part is getting them working for companies overseas. We make it as simple as plugging into utilities.
Your AI workers
Large models like DeepSeek and Qwen are all-purpose “staff” you rent by usage — they write copy, handle customer support, translate, code and generate video.
The electricity behind them
Compute is the “power” that makes those models run. China has a lot of it, at low cost — like a region full of cheap power plants.
Your local utility desk in Singapore
We connect you to that power, help pick the right models, meter usage by token, and support you from test to launch. You just plug in.
Service architecture: from business need to a deployable solution
You start from the business need; ByteHorizon Exchange translates it into the right model, tokens, network, security and commercial terms — with compute scheduling, routing and compliance handled underneath.
Southeast Asia clients
Client LayerAI application companies, cross-border e-commerce, content & entertainment platforms, enterprise customer service, legal / financial / education teams, and system integrators (SI).
ByteHorizon Exchange
Gateway & Service LayerSingapore distributor — your single point for needs assessment, model selection, evaluation, quoting & contracting, go-live support and monthly optimization.
GBA compute & model ecosystem
Infrastructure LayerConnected to the Greater Bay Area compute base, token services, the leading Chinese large-model ecosystem and cross-border access.
Client pain points & how we solve them
| Common challenge | ByteHorizon Exchange solution | What you get |
|---|---|---|
| Hard to choose a model: DeepSeek, Kimi, Qwen, Seedance or something else? | We build a "one-primary, multiple-fallback" model matrix per use case — testing 2–3 candidates, then deciding on quality, time-to-first-token (TTFT) and blended cost per token. | Less trial-and-error, and no picking models by reputation alone. |
| Costs are hard to model: each vendor meters, caches and bills concurrency differently, so monthly and scaling budgets stay fuzzy. | We normalize billing into one model — input / output, prompt-cache hits, high-concurrency tiers — and produce a cost projection against your usage profile. | Lock in a budget and a scaling ceiling before launch. |
| Unstable cross-border access: Southeast Asian public internet has jitter, occasional packet loss and upstream filtering. | During the trial we validate routes, latency, failure rates and throttling from Singapore, Hong Kong and your target markets, adding acceleration nodes and redundant links where needed. | Prove stability first, then buy for production. |
| Unclear data boundaries: whether data is retained or used for training is opaque. | Before quoting, we confirm data-retention period, no-training use, log redaction, allowlisting, and transport / storage encryption, with compliance terms. | Clear boundaries for legal, IT and business alike. |
| No one owns go-live: the test passes, but production lacks SLA, concurrency assurance and support. | We provide a go-live checklist, usage reviews, performance tuning, zero-downtime model switching and long-term LLMOps support. | A smooth path from POC to high-concurrency production. |
Program capability foundation
You don't need the full project backstory — just know this is an enterprise-grade AI inference foundation built for Southeast Asia–facing businesses. The capabilities below follow the program's current onboarding scope.
Backed by Greater Bay Area compute hubs and large-scale intelligent-compute resources for enterprise AI inference.
Turns underlying compute and model capability into metered, purchasable, auditable token services.
For Hong Kong / Macau, Singapore and Southeast Asia — focused on validated latency, stability and routing.
Covers the major Chinese model families; the exact available list follows the program's current onboarding.
We help confirm data retention, no-training use, log redaction, allowlisting and enterprise isolation requirements.
Reference: leading Chinese large models
Get your discounted price →
Figures are vendors' public reference / platform pricing and do not constitute a final quote; actual procurement follows the program's current onboarding list, order page and signed contract.
| Model / Vendor | Core strengths | Best-fit scenarios | Official list price (June)benchmark only — not our price |
|---|---|---|---|
| DeepSeek | High cost-performance inference; strong text, code and math, natively agent-friendly. | Cost-sensitive apps, coding assistants, knowledge-base (RAG) Q&A, agent backends. | V4 Flash: Input (Cache Miss) $0.14/M, Output $0.28/M; V4 Pro: Input (Cache Miss) $0.435/M, Output $0.87/M. |
| Tongyi Qwen | Multimodal perception, multilingual translation, international deployment and a complete cloud ecosystem. | Cross-border / regional-localization systems, multimodal workloads, cloud-native integration. | Qwen3-Max (intl): Input $1.2/M, Output $6/M; Qwen3.5-Flash (intl): Input $0.1/M, Output $0.4/M. |
| Doubao / Seedance | Text + multimodal foundation; high-fidelity video generation with strong motion consistency. | Marketing creatives, overseas e-commerce assets, short-video for outbound entertainment. | Doubao-Seed-2.0-pro: Input from ¥3.2/M, Output from ¥16/M; Seedance priced by resolution / frame rate / duration. |
| Kimi | Ultra-long context, deep-research long-horizon agents, legal & financial entity alignment. | Long-document / contract / report reading, million-token codebase comprehension. | K2.7 Code: Input ¥6.50/M, Output ¥27/M (Cache Hit as low as ¥1.30/M). |
| Zhipu GLM | Agent action flows, visual reasoning, deep office-automation integration. | Agentic workflows, document automation, domestic-stack substitution. | GLM-4-Plus: ~¥5.00/M tokens; GLM-4.5V (multimodal): Input from ¥2.00/M, Output ¥6.00/M. |
| MiniMax | Ultra-long-context memory, stable multi-turn, voice / video ecosystem. | Long-context decision agents, lifelike voice service, interactive narrative content. | M3 (≤512K): Input $0.30/M, Output $1.20/M (Prompt Cache Read only $0.06/M). |
| Baidu ERNIE / Qianfan | Enterprise one-stop platform with deep search augmentation (RAG-plus). | Enterprise knowledge-base foundation, high-security scenarios, Baidu Cloud ecosystem. | ERNIE 5.1 (flagship): Input ¥0.004/1K tokens, Output ¥0.018/1K tokens (≈ Input ¥4/M, Output ¥18/M). |
| Tencent Hunyuan | Native alignment with WeChat / Tencent Cloud; text understanding plus image / visual generation. | WeChat-ecosystem private domains, smart customer service, multimodal marketing. | HY 2.0 Think: Input ¥3.975/M, Output ¥15.9/M; Hunyuan-TurboS: Input ¥0.8/M, Output ¥2/M. |
| Baichuan | Medical and professional-domain knowledge, evidence-grounded, low-hallucination Q&A. | Healthcare, industry knowledge bases, professional Q&A and compliance review. | Flagship Baichuan4 ~¥100/M (input / output); lightweight tier as low as ~¥12/M. Medical M-series and specific models per official listing. |
| StepFun | Agent, code and multimodal reasoning; friendly OpenAI-interface migration. | Agent workflows, coding assistants, multimodal apps, smooth API migration. | Step 3 (limited-time): Input ~¥1.5/M, Output ~¥4/M. Flash and other models per official listing. |
Recommended models by scenario
| Scenario | Preferred model direction | Key metrics to validate |
|---|---|---|
| Text customer service, enterprise knowledge base, content generation | DeepSeek, Qwen, ERNIE, Hunyuan | Answer accuracy, latency, token cost, knowledge-base citations. |
| Coding assistant, agents, office automation | Kimi, DeepSeek, GLM, MiniMax, StepFun | Tool calling, code success rate, long-horizon tasks, failure recovery. |
| Long documents, contracts, reports, legal & finance | Kimi, Qwen, MiniMax, Baichuan | Context length, citation accuracy, hallucination control, data security. |
| Short video, ads, e-commerce assets | Seedance, MiniMax, Qwen / Wanxiang | Generation quality, cost per clip, moderation rules, batch speed. |
| Healthcare, professional Q&A | Baichuan, Qwen, DeepSeek | Domain accuracy, evidence citations, hallucination control, compliance boundaries. |
Trial path: conclusions in 3–7 days
Confirm use case, target models, country / region, current vendors and expected volume.
Pick 2–3 candidate models; define test cases, success criteria and safety boundaries.
Validate quality, latency, tokens/s, failure rate, caching, throttling and cross-border access.
Shape token-pack, per-project, dedicated-resource or channel pricing from the results.
After go-live, review usage, cost, quality and scaling on a monthly basis.
Engagement models
Trial pack
For first validationTest credits, a test plan and a results review to decide whether to move to procurement.
Monthly token pack
For steady usagePurchase by monthly volume, with basic support, usage reporting and cost-optimization advice.
Project-based
For integration deliveryFor knowledge-base, agent and video-generation workflows — with requirements analysis and go-live support.
Enterprise / channel
For at-scale procurementHelp confirm dedicated resources, SLA, channel pricing, support mechanisms and regional sales materials.
Two ways to pay
Choose whichever fits your finance workflow — we support both.
Credit line & monthly settlement
PostpaidWe grant your company an approved credit limit; you use the service first and settle on a consolidated monthly invoice. Best for established teams with steady, predictable usage.
Prepaid top-up (pay-as-you-go)
PrepaidTop up a balance, and usage is deducted in real time as you call the models; recharge anytime. A flexible, zero-commitment way to start.
Next step: just share 3 things
ByteHorizon Exchange will return a test plan, model recommendations and an initial cost estimate, and schedule a 3–7 day trial.
Request your free trial line
⚡ Reply within 24 hoursInterested? Don't just browse — tell us a little about your needs and we'll respond within 24 hours and set up a free test line so you can evaluate as fast as possible.
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Singapore Distributor
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