DeepSeek V4 GA 75% Permanent Discount vs Qwen 3.8-Max 2.4T vs AWS Bedrock: Cheapest LLM API for APAC Enterprise AI Inference Cost 2026
The open-source LLM pricing war just escalated. DeepSeek V4 moved from preview to General Availability in June 2026 — and crucially, the 75% price discount that applied during the preview period has been made permanent. At the same time, Alibaba previewed Qwen 3.8-Max, a 2.4-trillion-parameter sparse MoE model that directly targets frontier closed models. Meanwhile, AWS continues to push its managed Bedrock endpoint portfolio while its CapEx hits $43.2B per quarter.
For APAC enterprises running AI workloads — whether in iGaming, Fintech, or large-scale document processing — the cost difference between providers is now measured in 10x multiples, not percentages. This article gives you the numbers, a clear comparison table, and a decision framework.
1. DeepSeek V4 GA: What the 75% Permanent Discount Actually Means
DeepSeek V4 launched in preview with a promotional 75% discount off its standard rack rate. As of GA, this discount has been locked in as the standard listed price — meaning enterprises no longer need to negotiate or time their contracts to catch preview pricing.
Key specifications at GA:
- Context window: 1,000,000 tokens (1M context, GA-confirmed)
- Dynamic pricing: Off-peak windows offer further reductions (reported 50% additional discount during low-demand hours)
- Deployment: API-direct via DeepSeek platform; third-party hosted on platforms including Together AI and select regional inference clouds
- Model class: Dense architecture, optimised for long-document and multi-turn reasoning
The 1M context window is operationally significant. For APAC Fintech compliance use cases — ingesting full loan agreements, regulatory filings, or transaction logs — a 1M context eliminates chunking overhead entirely, reducing both latency and prompt-engineering cost.
2. Qwen 3.8-Max Preview: 2.4T MoE Parameters at What Price?
Alibaba's Qwen team previewed Qwen 3.8-Max, a 2.4-trillion-parameter sparse Mixture-of-Experts model. It sits above the existing Qwen 3.8 open-source release (also 2.4T, but the "Max" variant targets benchmark parity with models like Claude Fable 5).
What we know at preview stage:
- Architecture: Sparse MoE — active parameters per token are a fraction of 2.4T total, keeping per-token compute cost controlled
- Availability: Preview via Alibaba Cloud Model Studio (APAC region access confirmed); API pricing not yet publicly listed at time of writing
- Open-source status: The base Qwen 3.8 weights are open-source; Max variant licensing terms are pending final announcement
- APAC latency advantage: Hosted natively on Alibaba Cloud infrastructure with points of presence in Singapore, Tokyo, Jakarta, and Mumbai
Important: Because Qwen 3.8-Max API pricing has not been publicly confirmed, we do not speculate on per-token figures. The comparison table below uses confirmed rates only.
3. Price Comparison Table: Confirmed LLM API Rates, APAC 2026
| Model | Input (per 1M tokens) | Output (per 1M tokens) | Context Window | APAC Endpoint | Status |
|---|---|---|---|---|---|
| DeepSeek V4 GA | ~$0.27 | ~$1.10 | 1,000,000 | Direct API / Together AI | GA — Permanent pricing |
| Qwen 3.8 (open-source, hosted) | ~$0.40–$0.60* | ~$1.20–$1.60* | 128,000 | Alibaba Cloud Model Studio | GA |
| Qwen 3.8-Max | Not yet published | Not yet published | TBC | Alibaba Cloud (Preview) | Preview |
| AWS Bedrock — Claude Sonnet 5 | $3.00 | $15.00 | 200,000 | AWS ap-southeast-1 / ap-northeast-1 | GA |
| AWS Bedrock — Llama 4 Scout | $0.17 | $0.60 | 128,000 | AWS ap-southeast-1 | GA |
| GCP Vertex — Gemini 3.1 Pro | $3.50 | $10.50 | 1,000,000 | GCP asia-southeast1 | GA |
*Qwen 3.8 hosted pricing is indicative based on Alibaba Cloud Model Studio published rates; verify current rates before procurement. AWS/GCP rates sourced from public pricing pages. DeepSeek V4 rates confirmed at GA announcement.
4. Head-to-Head: DeepSeek V4 vs AWS Bedrock for APAC Workloads
Cost at Scale: 10 Billion Tokens/Month
Consider an APAC enterprise processing 10 billion input tokens and 2 billion output tokens per month (a realistic scale for a mid-size iGaming operator running real-time game-state summarisation or a Fintech processing trade confirmations):
- DeepSeek V4 GA: (10B × $0.27) + (2B × $1.10) = $2,700 + $2,200 = $4,900/month
- AWS Bedrock Claude Sonnet 5: (10B × $3.00) + (2B × $15.00) = $30,000 + $30,000 = $60,000/month
- GCP Vertex Gemini 3.1 Pro: (10B × $3.50) + (