Verified 2026 API Rates • Prompt Caching & Batch ROI

Tencent: Hy4 vs Mixtral 8x7B (32768)

Compare real-world API costs for Tencent: Hy4 ($0.417/$1.2505) vs Mixtral 8x7B (32768) ($0.24/$0.24). Calculate Prompt Caching ROI & Batch API savings.

Mixtral 8x7B (32768) saves up to 42% on base input tokens
Tencent

Tencent: Hy4

hy4
Base Input Rate
$0.42 / 1M
Output Rate
$1.25 / 1M
Prompt Cache Read
$0.021 / 1M (-94.96%)
Cache Write Surcharge
$0.00 (Free write)
Batch API Discount
Not Supported
Context Window
1,048.576k tokens
Quality Index (MMLU)
88
Groq

Mixtral 8x7B (32768)

mixtral-8x7b
Base Input Rate
$0.24 / 1M
Output Rate
$0.24 / 1M
Prompt Cache Read
$0.12 / 1M (-50%)
Cache Write Surcharge
$0.00 (Free write)
Batch API Discount
-50% Off
Context Window
32.768k tokens
Quality Index (MMLU)
78
Differential Module 1

Prompt Caching ROI & Write Surcharge Break-Even Analysis

Prompt caching drastically reduces input token costs for static prefixes like system prompts, tool schemas, and document chunks. Compare caching mechanisms between Tencent: Hy4 and Mixtral 8x7B (32768):

Tencent: Hy4 Caching Profile-94.96% read discount

  • Cached Read Price: $0.021 per 1M tokens.
  • Write Surcharge: $0.00 (automatic caching with zero write penalty).
  • Minimum Cache Prefix: 1,024 tokens.
  • Amortization Rule: Immediate net savings from first cached read call.

Mixtral 8x7B (32768) Caching Profile-50% read discount

  • Cached Read Price: $0.120 per 1M tokens.
  • Write Surcharge: $0.00 (automatic caching with zero write penalty).
  • Minimum Cache Prefix: 1,024 tokens.
  • Amortization Rule: Immediate net savings from first cached read call.
Differential Module 2

Batch API 50% Discount Offload vs Real-Time SLA

Asynchronous Batch APIs cut total token expenditures in half (50% off input and output) in exchange for non-realtime execution (up to 24-hour turnaround SLA).

Model / ArchitectureStandard Input / OutputBatch 50% Off Input / OutputTurnaround SLAOptimal Use Cases
Tencent: Hy4$0.42 / $1.25Standard on-demand rateInstant real-timeBulk evaluation, dataset labeling, background summarization
Mixtral 8x7B (32768)$0.24 / $0.24$0.12 / $0.12 (-50%)24 Hours max (typically 30m - 2h)Offline document translation, embedding backfills, test suites
Differential Module 3

Context Window Escalation & Tiered Pricing Architecture

Massive context windows allow ingesting entire repositories or books, but pricing models differ drastically between flat-rate vendors and tiered step-up pricing.

Tencent: Hy4 Context Capacity

Provides a 1,048.576k token context window with a maximum output limit of 65.536k tokens.✓ Flat-rate billing across all prompt sizes up to max context ceiling.

Mixtral 8x7B (32768) Context Capacity

Provides a 32.768k token context window with a maximum output limit of 32.768k tokens.✓ Flat-rate billing across all prompt sizes up to max context ceiling.

Quill Strategic Content

Real-World Production Scenarios: Monthly Spend Projections

Pre-computed monthly engineering bill projections across 3 representative enterprise application workloads:

Scenario 1

RAG Knowledge Base & Enterprise Search

100,000 queries/month, 3,500 input tokens (system + 5 retrieved chunks), 400 output tokens, 75% prompt cache hit rate.

Tencent: Hy4:$92.02/mo
Mixtral 8x7B (32768):$62.10/mo
Delta Savings:-$29.92 (33%)
Architecture Verdict:Mixtral 8x7B (32768) delivers 33% lower monthly spend ($29.92/mo savings) for this workload profile.
Scenario 2

Multi-Turn Coding Agent & ReAct Loops

25,000 tasks/month, 8,000 input tokens (accumulating conversation context & tool schemas), 1,200 output tokens, 85% cache hit rate.

Tencent: Hy4:$53.59/mo
Mixtral 8x7B (32768):$32.19/mo
Delta Savings:-$21.40 (40%)
Architecture Verdict:Mixtral 8x7B (32768) delivers 40% lower monthly spend ($21.40/mo savings) for this workload profile.
Scenario 3

High-Throughput Offline Data Extraction

500,000 records/month, 1,500 input tokens, 250 output tokens, 100% batch offload (24-hour turnaround SLA).

Tencent: Hy4:$409.66/mo
Mixtral 8x7B (32768):$96.00/mo
Delta Savings:-$313.66 (77%)
Architecture Verdict:Mixtral 8x7B (32768) delivers 77% lower monthly spend ($313.66/mo savings) for this workload profile.
毫秒级实时交互模拟引擎

Tencent: Hy4 对比 Mixtral 8x7B (32768)

针对企业典型三大工程落地形态(RAG 知识库、Coding Agent 多轮、离线批量清洗)进行精确成本演算:

Live 50ms Engine
月度请求量 (Requests)100,000
单次输入 Tokens (Input)4,000
单次输出 Tokens (Output)1,000
Prompt 缓存命中率 (Cache Hit)70%
Batch API 批处理分流比例0%
Mixtral 8x7B (32768) 更便宜

预计每月节省

Tencent: Hy4$180.97$1.810// 千次请求
对比
Mixtral 8x7B (32768)$86.40$0.864// 千次请求
Developer FAQs

Frequently Asked Questions: Tencent: Hy4 vs Mixtral 8x7B (32768)

Authoritative answers on API rate limits, pricing math, break-even thresholds, and architectural migration.

1Which model is cheaper overall: Tencent: Hy4 or Mixtral 8x7B (32768)?

At base pricing, Tencent: Hy4 costs $0.417/1M input and $1.2505/1M output, while Mixtral 8x7B (32768) costs $0.24/1M input and $0.24/1M output. The cheaper option depends on your input-to-output token ratio and whether prompt caching or batch discounts are utilized.

2How does Prompt Caching impact the cost of Tencent: Hy4 vs Mixtral 8x7B (32768)?

Tencent: Hy4 offers a 94.96% read discount ($0.021/1M), whereas Mixtral 8x7B (32768) provides a 50% read discount ($0.12/1M). High cache hit ratios (>70%) significantly compress the cost delta in agentic and RAG architectures.

3Can I use Batch API with Tencent: Hy4 or Mixtral 8x7B (32768) to save 50%?

Tencent: Hy4 does not have a native 50% batch endpoint. Mixtral 8x7B (32768) supports 50% batch discounts.

4What are the context window limits and tiered pricing rules for Tencent: Hy4 vs Mixtral 8x7B (32768)?

Tencent: Hy4 features a 1,048.576k context window with flat per-token pricing. In comparison, Mixtral 8x7B (32768) supports 32.768k tokens with flat per-token pricing.