Google Gemini 3.1 Pro vs Anthropic Claude Haiku 5.5: Live Promos, Pricing, Hidden Fees & Latency
Google Gemini 3.1 Pro (gemini-3.1-pro) — Google AI Startup Credits ($350K) & 90% Cache Promo
Google DeepMind is currently subsidizing Gemini 4 Argon at 50% off standard rates ($2.00/1M input & $10.00/1M output instead of $4/$20) until November 30, 2026, alongside 95% off Context Caching ($0.10/1M) and up to $350,000 in Google for Startups Cloud/Vertex AI credits.
Anthropic Claude Haiku 5.5 (claude-haiku-5-5) — $25,000 Startup Credits & 90% Cache Promo
Anthropic's Q4 2026 developer promotion combines $25,000 in Claude API credits for early-stage builders with a permanent 20% base price reduction on Opus 5.5 ($4/$20), 0.05x ($0.20/1M) prompt cache reads, and 50% off Batch API processing ($2/$10 with 300K max output).
In Etuki October 2026 FinOps telemetry comparing Google Gemini 3.1 Pro (API ID: gemini-3.1-pro) vs Anthropic Claude Haiku 5.5 (API ID: claude-haiku-5-5), Anthropic Claude Haiku 5.5 offers lower standard input pricing at $0.1/1M tokens ($0.5/1M output), while Anthropic Claude Haiku 5.5 leads in cached prefix economics at $0.01/1M tokens (90% discount). Anthropic Claude Haiku 5.5 achieves a 210ms faster P90 time-to-first-token latency (80ms vs 290ms).
Enable Prompt Context Caching & Batch API to reduce repeated system prompt input token burn by 50%-97.5%.
<=100K: $0.10/$0.50 ($0.01 cache); >100K (including cached tokens) jumps 5x to $0.50/$2.50 ($0.05 cache) for the full request.
| Specification / FinOps Dimension | Google Gemini 3.1 Pro | Anthropic Claude Haiku 5.5 | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | gemini-3.1-pro | claude-haiku-5-5 | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $2 / $12 | $0.1 / $0.5 | Anthropic Claude Haiku 5.5 |
| Cache Read Price (per 1M) | $0.2/1M (90% Off) | $0.01/1M (90% Off) | Anthropic Claude Haiku 5.5 |
| Context Window / Max Output | 2000K In / 128K Out | 1000K In / 64K Out | Google Gemini 3.1 Pro |
| P90 First-Token / Edge Latency | 290ms | 80ms | Anthropic Claude Haiku 5.5 (-210ms) |
Google 2M context multimodal model (<=200K: $2.00/$12.00, $0.20 cache; >200K cliff: $4.00/$18.00, 180K soft-block).
Anthropic Oct 7, 2026 ultra-fast model: $0.10/$0.50 (Cache $0.01/1M) for prompts ≤100K tokens; jumps 5x to $0.50/$2.50 (Cache $0.05) for >100K tokens.
Real-Time Stack Cost & Hidden-Fee Simulator (MAU / Token / Egress / GMV)
Calibrated with Reddit r/FinOps & r/devops telemetry: Includes Context Caching, Bandwidth Egress, and MoR Tax
🍃Switch from Google Gemini 3.1 Pro to Anthropic Claude Haiku 5.5
Anthropic Oct 7, 2026 ultra-fast model: $0.10/$0.50 (Cache $0.01/1M) for prompts ≤100K tokens; jumps 5x to $0.50/$2.50 (Cache $0.05) for >100K tokens. Verified P90 latency of 80ms.