Google: Gemma 4 31B vs Anthropic Claude Fable 5.1: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Google: Gemma 4 31B (google/gemma-4-31b-it) vs Anthropic Claude Fable 5.1 (claude-fable-5-1). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
Google: Gemma 4 31B (google/gemma-4-31b-it) — Google AI Startup Credits ($350K) & 50% 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 Fable 5.1 (claude-fable-5-1) — $25,000 Startup Credits & 97.5% 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: Gemma 4 31B (API ID: google/gemma-4-31b-it) vs Anthropic Claude Fable 5.1 (API ID: claude-fable-5-1), Google: Gemma 4 31B offers lower standard input pricing at $0.2/1M tokens ($0.4/1M output), while Google: Gemma 4 31B leads in cached prefix economics at $0.1/1M tokens (50% discount). Google: Gemma 4 31B achieves a 210ms faster P90 time-to-first-token latency (280ms vs 490ms).
Auto-discovered via live global telemetry registry.
Enable Prompt Context Caching & Batch API to reduce repeated system prompt input token burn by 50%-97.5%.
| Specification / FinOps Dimension | Google: Gemma 4 31B | Anthropic Claude Fable 5.1 | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | google/gemma-4-31b-it | claude-fable-5-1 | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.2 / $0.4 | $10 / $50 | Google: Gemma 4 31B |
| Cache Read Price (per 1M) | $0.1/1M (50% Off) | $0.25/1M (97.5% Off) | Google: Gemma 4 31B |
| Context Window / Max Output | 256K In / 16K Out | 1000K In / 128K Out | Anthropic Claude Fable 5.1 |
| P90 First-Token / Edge Latency | 280ms | 490ms | Google: Gemma 4 31B (-210ms) |
Gemma 4 31B Instruct is Google DeepMind's 30.7B dense multimodal model supporting text and image input with text output. Features a 256K token context window, configurable thinking
Anthropic specialized frontier model for demanding scientific reasoning, OfficeQA leadership, and long-horizon agentic work.
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: Gemma 4 31B to Anthropic Claude Fable 5.1
Anthropic specialized frontier model for demanding scientific reasoning, OfficeQA leadership, and long-horizon agentic work. Verified P90 latency of 490ms.