Verified 2026 API Rates • Prompt Caching & Batch ROI

Claude 3.5 Haiku vs Google: Gemini 4 Hydrogen

Compare real-world API costs for Claude 3.5 Haiku ($0.8/$4) vs Google: Gemini 4 Hydrogen ($1.5/$7.5). Calculate Prompt Caching ROI & Batch API savings.

Claude 3.5 Haiku saves up to 47% on base input tokens
Anthropic

Claude 3.5 Haiku

claude-3-5-haiku
Base Input Rate
$0.80 / 1M
Output Rate
$4.00 / 1M
Prompt Cache Read
$0.080 / 1M (-90%)
Cache Write Surcharge
$1.00 / 1M (+25%)
Batch API Discount
-50% Off
Context Window
200k tokens
Quality Index (MMLU)
75.2
Google

Google: Gemini 4 Hydrogen

gemini-4-hydrogen
Base Input Rate
$1.50 / 1M
Output Rate
$7.50 / 1M
Prompt Cache Read
$0.075 / 1M (-95%)
Cache Write Surcharge
$0.00 (Free write)
Batch API Discount
-50% Off
Context Window
1,048.576k tokens
Quality Index (MMLU)
88
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 Claude 3.5 Haiku and Google: Gemini 4 Hydrogen:

Claude 3.5 Haiku Caching Profile-90% read discount

  • Cached Read Price: $0.080 per 1M tokens.
  • Write Surcharge: $1.00/1M (+25% fee on initial cache write).
  • Minimum Cache Prefix: 1,024 tokens.
  • Amortization Rule: Net cost savings begin when prefix is reused > 1.25 times within TTL.

Google: Gemini 4 Hydrogen Caching Profile-95% read discount

  • Cached Read Price: $0.075 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
Claude 3.5 Haiku$0.80 / $4.00$0.40 / $2.00 (-50%)24 Hours max (typically 30m - 2h)Bulk evaluation, dataset labeling, background summarization
Google: Gemini 4 Hydrogen$1.50 / $7.50$0.75 / $3.75 (-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.

Claude 3.5 Haiku Context Capacity

Provides a 200k token context window with a maximum output limit of 8.192k tokens.✓ Flat-rate billing across all prompt sizes up to max context ceiling.

Google: Gemini 4 Hydrogen Context Capacity

Provides a 1,048.576k token context window with a maximum output limit of 943.718k 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.

Claude 3.5 Haiku:$265.00/mo
Google: Gemini 4 Hydrogen:$450.94/mo
Delta Savings:-$185.94 (41%)
Architecture Verdict:Claude 3.5 Haiku delivers 41% lower monthly spend ($185.94/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.

Claude 3.5 Haiku:$153.18/mo
Google: Gemini 4 Hydrogen:$261.54/mo
Delta Savings:-$108.36 (41%)
Architecture Verdict:Claude 3.5 Haiku delivers 41% lower monthly spend ($108.36/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).

Claude 3.5 Haiku:$511.00/mo
Google: Gemini 4 Hydrogen:$924.38/mo
Delta Savings:-$413.38 (45%)
Architecture Verdict:Claude 3.5 Haiku delivers 45% lower monthly spend ($413.38/mo savings) for this workload profile.
Real-Time Interactive Engine

Claude 3.5 Haiku vs Google: Gemini 4 Hydrogen

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

Live 50ms Engine
Monthly Requests100,000
Input Tokens / Req4,000
Output Tokens1,000
Prompt Cache Hit Rate70%
Batch API Offload0%
Claude 3.5 Haiku Cheaper

saves approximately

Claude 3.5 Haiku$534.40$5.344// 1k reqs
vs
Google: Gemini 4 Hydrogen$951.00$9.510// 1k reqs
Developer FAQs

Frequently Asked Questions: Claude 3.5 Haiku vs Google: Gemini 4 Hydrogen

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

1Which model is cheaper overall: Claude 3.5 Haiku or Google: Gemini 4 Hydrogen?

At base pricing, Claude 3.5 Haiku costs $0.8/1M input and $4/1M output, while Google: Gemini 4 Hydrogen costs $1.5/1M input and $7.5/1M 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 Claude 3.5 Haiku vs Google: Gemini 4 Hydrogen?

Claude 3.5 Haiku offers a 90% read discount ($0.08/1M), whereas Google: Gemini 4 Hydrogen provides a 95% read discount ($0.075/1M). High cache hit ratios (>70%) significantly compress the cost delta in agentic and RAG architectures.

3Can I use Batch API with Claude 3.5 Haiku or Google: Gemini 4 Hydrogen to save 50%?

Claude 3.5 Haiku supports 50% batch offload discounts for asynchronous 24-hour turnaround tasks. Google: Gemini 4 Hydrogen supports 50% batch discounts.

4What are the context window limits and tiered pricing rules for Claude 3.5 Haiku vs Google: Gemini 4 Hydrogen?

Claude 3.5 Haiku features a 200k context window with flat per-token pricing. In comparison, Google: Gemini 4 Hydrogen supports 1,048.576k tokens with flat per-token pricing.