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Eetuki
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OpenAI GPT-4.1 vs Anthropic Claude 3.5 Haiku: $2.00 vs $0.80 / 1M Tokens

Switching a 100M input / 20M output monthly workload from OpenAI GPT-4.1 to Anthropic Claude 3.5 Haiku saves $200.00/month ($2400.00/year, -60%) on baseline token rates. For streaming responsiveness, Anthropic Claude 3.5 Haiku leads with a 285ms P90 TTFT (132 tok/s).

Contender A • OpenAI

OpenAI GPT-4.1

Standard Input / Output:$2.00 / $8.00
Warm Cache Read / Write:$0.5 / $2
Batch API (50% Off):$1 / $4
Context Window & Cliff:1,000,000 tokens
P90 TTFT / Throughput:410ms / 98 tok/s
Contender B • Anthropic

Anthropic Claude 3.5 Haiku

Standard Input / Output:$0.80 / $4.00
Warm Cache Read / Write:$0.08 / $1
Batch API (50% Off):$0.4 / $2
Context Window & Cliff:200,000 tokens
P90 TTFT / Throughput:285ms / 132 tok/s
⚡ CONTEXT-MODE SANDBOX (315KB → 5.4KB) × ETUKI CACHE PINNING BENCHMARKOpen Full Context-Mode Calculator →

Coding Agent TCO (100 Sessions): Raw Tool Output (700KB) vs. Context-Mode + Etuki Prefix Cache

Execution Mode (100 Agent Sessions)OpenAI GPT-4.1Anthropic Claude 3.5 HaikuArchitectural Mechanism
Mode A: Direct Raw Tool Output (700 KB)$382.00$156.0047 × Read() dumped into context; hits 200K cliff
Mode B: Context-Mode Sandbox Only (3.6 KB)$60.00$30.00SQLite FTS5 & ctx_execute (98% byte drop, unpinned cache)
Mode C: Context-Mode + Etuki 4-Block Cache Lock$33.50 (-91%)$13.60 (-91%)98% tool stdout folding + 90% warm 0.1x prefix cache hit

Monthly Enterprise Workload TCO: OpenAI GPT-4.1 vs Anthropic Claude 3.5 Haiku

Workload ScenarioOpenAI GPT-4.1 (Cached)Anthropic Claude 3.5 Haiku (Cached)Recommended Routing Winner
① Coding Agent (15M In / 3M Out)$36.00/mo$15.36/moAnthropic Claude 3.5 Haiku
② Enterprise RAG (100M In / 15M Out)$200.00/mo$82.40/moAnthropic Claude 3.5 Haiku
③ Long-Doc SEC Analysis (250M In / 30M Out)$440.00/mo$176.00/moAnthropic Claude 3.5 Haiku
④ Async Batch Pipeline (500M In / 80M Out)$820.00/mo$360.00/moAnthropic Claude 3.5 Haiku (50% Batch Discount)