Fugu Max vs Gemini 4 Carbon API Cost Calculator
Side-by-side FinOps unit economics audit comparing Fugu Max (Sakana AI) against Gemini 4 Carbon (Google). On an uncached 3:1 workload (3,500 input / 800 output tokens, 0% prompt cache), Fugu Max cuts blended token spend by 25% and saves $11,520/mo ($138,240/yr) at 10,000 DAU. With 65% Prompt Caching enabled (interactive simulator default: $0.25/1M vs $0.10/1M cache reads), 10K DAU monthly spend is $28,148/mo (Fugu Max) vs $38,439/mo (Gemini 4 Carbon).
1. Side-by-Side Token Pricing, Context Window & Speed Matrix
Exact API pricing per 1 Million tokens (Input, Output, and Prompt Cache Read), maximum context window, and real-world streaming throughput.
| FinOps Metric | Fugu Max (Sakana AI) | Gemini 4 Carbon (Google) | Arbitrage Advantage |
|---|---|---|---|
| Input Price (per 1M tokens) | $2.00 / 1M | $2.00 / 1M | Fugu Max (1.0x cheaper) |
| Output Price (per 1M tokens) | $6.00 / 1M | $10.00 / 1M | Fugu Max (1.7x cheaper) |
| Cached Input Read (per 1M) | $0.25 / 1M | $0.10 / 1M | Prompt Cache Hit Discount Ready |
| Blended 3:1 RAG Rate (per 1M) | $3.00 / 1M | $4.00 / 1M | 25% savings with Fugu Max |
| Context Window / Max Output | 1M (1,000,000) / 128K out | 1.0M (1,048,576) / 944K out | Gemini 4 Carbon larger context |
| Streaming Speed & TTFT | 96 tok/s (310ms TTFT) | 155 tok/s (210ms TTFT) | Gemini 4 Carbon faster generation |
| Capabilities (Tools / Vision / Cache) | Tools: Yes · Vision: No · Cache: Yes | Tools: Yes · Vision: Yes · Cache: Yes | JSON Mode: Both Supported |
2. Monthly SaaS Cloud Bill Simulation (1,000 DAU / 10,000 DAU / 50,000 DAU)
Simulated monthly API spend for a production AI SaaS application (12 requests per active user/day, 3,500 input tokens + 800 output tokens per turn, 30 days/month).
| SaaS Scale Tier | Monthly Token Volume | Fugu Max Monthly Bill | Gemini 4 Carbon Monthly Bill | Monthly Savings (Fugu Max) |
|---|---|---|---|---|
| 1,000 DAU (Seed / MVP) | 1.26B in / 288M out | $4,248/mo | $5,400/mo | Save $1,152/mo |
| 10,000 DAU (Growth SaaS) | 12.6B in / 2.88B out | $42,480/mo | $54,000/mo | Save $11,520/mo ($138,240/yr) |
| 50,000 DAU (Enterprise Scale) | 63.0B in / 14.4B out | $212,400/mo | $270,000/mo | Save $57,600/mo |
Customize Your Exact DAU, Turns/Day & Prompt Cache Hit Rate
3. Prompt Caching Savings Math (At 10,000 DAU Workload)
Long system prompts, RAG document context, and multi-turn agent histories qualify for automatic or explicit prompt caching. Here is how cache hit rates change your monthly cloud bill:
| Prompt Cache Hit Rate | Fugu Max (Read @ $0.25/1M) | Gemini 4 Carbon (Read @ $0.10/1M) | Combined Hybrid Router + 75% Cache |
|---|---|---|---|
| 0% Cache Hit (Cold Prompts) | $42,480/mo | $54,000/mo | $51,696/mo |
| 50% Cache Hit (Standard Chat) | $31,455/mo | $42,030/mo | $33,570/mo |
| 75% Cache Hit (Production Agent/RAG) | $25,943/mo | $36,045/mo | $27,963/mo |
| 90% Cache Hit (Heavy Document Context) | $22,635/mo | $32,454/mo | $24,599/mo |
4. Multi-Provider Host Arbitrage & Latency Disparity Table (Cost vs. <400ms TTFT SLA)
Don't overpay default gateway markups or suffer peak-hour latency spikes. Compare verified inference hosts for both Fugu Max and Gemini 4 Carbon anchored by Cost-per-1M Tokens vs. Time-to-First-Token (TTFT < 400ms SLA):
| Model | Inference Host / Gateway | Input / 1M | Output / 1M | Cache Read / 1M | TTFT Latency & SLA | Throughput | Deploy / Credits Link |
|---|---|---|---|---|---|---|---|
| Fugu Max | Sakana AI Direct / Primary #1 Smart Router Pick | $2.00 | $6.00 | $0.25 | 292ms <400ms SLA ✓ | 96 tok/s | Deploy (Unified API for 470+ Models) → |
| Fugu Max | OpenRouter (0% Markup Failover) | $2.00 | $6.00 | $0.25 | 304ms <400ms SLA ✓ | 92 tok/s | Deploy (Unified API for 470+ Models) → |
| Gemini 4 Carbon | Google Direct / Primary | $2.00 | $10.00 | $0.10 | 181ms <400ms SLA ✓ | 155 tok/s | Deploy (Up to 2M Context Window) → |
| Gemini 4 Carbon | OpenRouter (0% Markup Failover) | $2.00 | $10.00 | $0.10 | 185ms <400ms SLA ✓ | 151 tok/s | Deploy (Unified API for 470+ Models) → |
5. Frequently Asked Questions (Fugu Max vs Gemini 4 Carbon)
6. Related FinOps Comparisons & Model Calculators
Drop Your Usage CSV, Paste Your System Prompt, or Rescue Your Monthly LLM Bill
100% browser-local FinOps auditing: drop your OpenRouter / OpenAI / Anthropic / Cursor usage CSV, count 20-turn agent loop bloat from your system prompt, or model instant savings across 61 models.
Export your 30-day activity CSV from OpenRouter, Anthropic Console, OpenAI Usage, or Cursor/Cline and drop it below (or paste raw CSV rows). Everything runs in your browser memory — no API keys or logs ever leave your device.
Embed Live Fugu Max Token Price Badge in Your GitHub README or Docs
Keep your open-source repo or internal engineering wiki automatically synced with live Fugu Max input/output pricing:
Multi-Turn Agent Context Overflow & Architecture-Specific FinOps Verdict (Fugu Max vs Gemini 4 Carbon)
1. Multi-Turn Agent Context Window Ceiling: On a cumulative autonomous agent loop accumulating 6,800 tokens/turn (system prompt + tool JSON schema + conversation history), Fugu Max (1,000,000 token context window, 128,000 max output) reaches context saturation at Turn 147, whereas Gemini 4 Carbon (1,048,576 token context window, 943,718 max output) saturates at Turn 154.
2. Prompt Cache Hit Economics (88% vs 95% Read Discount): Fugu Max discounts cached prefix reads by 88% ($0.25/1M vs $2.00/1M uncached), while Gemini 4 Carbon discounts cached reads by 95% ($0.10/1M vs $2.00/1M uncached). At a 65% production cache hit ratio across 10,000 DAU, net monthly spend is $28,148/mo vs $38,439/mo.
3. Serverless API vs. Dedicated H100 vLLM Break-Even Threshold: Benchmarked against a dedicated $2,150/mo NVIDIA H100 80GB node (DigitalOcean H100 GPU Droplets / $300 Vultr GPU credit), serverless API billing on Fugu Max remains cheaper than dedicated GPU provisioning up to 764 DAU, while Gemini 4 Carbon breaks even against dedicated GPU hosting at 559 DAU.
With a massive 1,000,000-token context window, Fugu Max can ingest entire code repositories or multi-document corpora without vector chunking—provided your architecture pins static context at the top of the prompt for prefix caching ($0.25/1M cached read):
- 100,000-Token Full-Repo Prompt (0% Uncached): $204.80 per 1,000 queries
- 100,000-Token Prompt with 90% Prefix Cache Hit: $47.30 per 1,000 queries (saves $157.50 per 1K calls)
- Top-5 Vector RAG Retrieval (4,000-Token Chunk): $12.80 per 1,000 queries (lowest cost when cross-document global reasoning is not required).
With a massive 1,048,576-token context window, Gemini 4 Carbon can ingest entire code repositories or multi-document corpora without vector chunking—provided your architecture pins static context at the top of the prompt for prefix caching ($0.10/1M cached read):
- 100,000-Token Full-Repo Prompt (0% Uncached): $208.00 per 1,000 queries
- 100,000-Token Prompt with 90% Prefix Cache Hit: $37.00 per 1,000 queries (saves $171.00 per 1K calls)
- Top-5 Vector RAG Retrieval (4,000-Token Chunk): $16.00 per 1,000 queries (lowest cost when cross-document global reasoning is not required).
