Verified 2026 API Rates • Prompt Caching & Batch ROI

Anthropic: Claude Haiku 4.5 vs OpenAI: GPT-6.1 Sol

Compare real-world API costs for Anthropic: Claude Haiku 4.5 ($1/$5) vs OpenAI: GPT-6.1 Sol ($2/$10). Calculate Prompt Caching ROI & Batch API savings.

Anthropic: Claude Haiku 4.5 saves up to 50% on base input tokens
Anthropic

Anthropic: Claude Haiku 4.5

claude-haiku-4.5
Base Input Rate
$1.00 / 1M
Output Rate
$5.00 / 1M
Prompt Cache Read
$0.10 / 1M (-90%)
Cache Write Surcharge
$1.25 / 1M (+25%)
Batch API Discount
-50% Off
Context Window
200k tokens
Quality Index (MMLU)
88
OpenAI

OpenAI: GPT-6.1 Sol

gpt-6.1-sol
Base Input Rate
$2.00 / 1M
Output Rate
$10.00 / 1M
Prompt Cache Read
$0.10 / 1M (-95%)
Cache Write Surcharge
$0.00 (Free write)
Batch API Discount
-50% Off
Context Window
1,050k tokens
Quality Index (MMLU)
94.5
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 Anthropic: Claude Haiku 4.5 and OpenAI: GPT-6.1 Sol:

Anthropic: Claude Haiku 4.5 Caching Profile-90% read discount

  • Cached Read Price: $0.100 per 1M tokens.
  • Write Surcharge: $1.25/1M (+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.

OpenAI: GPT-6.1 Sol Caching Profile-95% read discount

  • Cached Read Price: $0.100 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
Anthropic: Claude Haiku 4.5$1.00 / $5.00$0.50 / $2.50 (-50%)24 Hours max (typically 30m - 2h)Bulk evaluation, dataset labeling, background summarization
OpenAI: GPT-6.1 Sol$2.00 / $10.00$1.00 / $5.00 (-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.

Anthropic: Claude Haiku 4.5 Context Capacity

Provides a 200k token context window with a maximum output limit of 64k tokens.✓ Flat-rate billing across all prompt sizes up to max context ceiling.

OpenAI: GPT-6.1 Sol Context Capacity

Provides a 1,050k token context window with a maximum output limit of 128k 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.

Anthropic: Claude Haiku 4.5:$331.25/mo
OpenAI: GPT-6.1 Sol:$601.25/mo
Delta Savings:-$270.00 (45%)
Architecture Verdict:Anthropic: Claude Haiku 4.5 delivers 45% lower monthly spend ($270.00/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.

Anthropic: Claude Haiku 4.5:$191.47/mo
OpenAI: GPT-6.1 Sol:$348.72/mo
Delta Savings:-$157.25 (45%)
Architecture Verdict:Anthropic: Claude Haiku 4.5 delivers 45% lower monthly spend ($157.25/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).

Anthropic: Claude Haiku 4.5:$638.75/mo
OpenAI: GPT-6.1 Sol:$1232.50/mo
Delta Savings:-$593.75 (48%)
Architecture Verdict:Anthropic: Claude Haiku 4.5 delivers 48% lower monthly spend ($593.75/mo savings) for this workload profile.
ミリ秒単位の対話型シミュレータ

Anthropic: Claude Haiku 4.5 vs OpenAI: GPT-6.1 Sol

エンタープライズの代表的な3大ユースケース(RAG検索、コーディングAgent、バッチ抽出)で精密試算:

Live 50ms Engine
月間リクエスト数 (Requests)100,000
入力トークン数/回 (Input Tokens)4,000
出力トークン数/回 (Output Tokens)1,000
Prompt キャッシュヒット率 (Cache Hit)70%
Batch API 分流比率0%
Anthropic: Claude Haiku 4.5 安価

月間推定削減額

Anthropic: Claude Haiku 4.5$668.00$6.680// 1,000リクエスト
vs
OpenAI: GPT-6.1 Sol$1,268.00$12.680// 1,000リクエスト
Developer FAQs

Frequently Asked Questions: Anthropic: Claude Haiku 4.5 vs OpenAI: GPT-6.1 Sol

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

1Which model is cheaper overall: Anthropic: Claude Haiku 4.5 or OpenAI: GPT-6.1 Sol?

At base pricing, Anthropic: Claude Haiku 4.5 costs $1/1M input and $5/1M output, while OpenAI: GPT-6.1 Sol costs $2/1M input and $10/1M 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 Anthropic: Claude Haiku 4.5 vs OpenAI: GPT-6.1 Sol?

Anthropic: Claude Haiku 4.5 offers a 90% read discount ($0.1/1M), whereas OpenAI: GPT-6.1 Sol provides a 95% read discount ($0.1/1M). High cache hit ratios (>70%) significantly compress the cost delta in agentic and RAG architectures.

3Can I use Batch API with Anthropic: Claude Haiku 4.5 or OpenAI: GPT-6.1 Sol to save 50%?

Anthropic: Claude Haiku 4.5 supports 50% batch offload discounts for asynchronous 24-hour turnaround tasks. OpenAI: GPT-6.1 Sol supports 50% batch discounts.

4What are the context window limits and tiered pricing rules for Anthropic: Claude Haiku 4.5 vs OpenAI: GPT-6.1 Sol?

Anthropic: Claude Haiku 4.5 features a 200k context window with flat per-token pricing. In comparison, OpenAI: GPT-6.1 Sol supports 1,050k tokens with flat per-token pricing.