Google Gemini 4 Argon vs Google Gemini 4 Hydrogen — API Pricing, 150K Cache & Latency Benchmark
Side-by-side unit economics audit comparing Google Gemini 4 Argon (google/gemini-4-argon: Input $2/1M, Output $10/1M, Warm Cache Read $0.1/1M) against Google Gemini 4 Hydrogen (google/google-gemini-4-hydrogen: Input $0.15/1M, Output $0.6/1M, Warm Cache Read $0.015/1M).
Activate 4-breakpoint prefix caching on Google Gemini 4 Argon to cut input token costs from $2/1M down to $0.1/1M, or route async workloads via Batch API for 50% off.
Lock static system prompt prefixes on Google Gemini 4 Hydrogen to pay $0.015/1M warm cache rates instead of $0.15/1M uncached input, plus eligible startup cloud credits.
In Etuki FinOps telemetry comparing Google Gemini 4 Argon (API ID: google/gemini-4-argon) vs Google Gemini 4 Hydrogen (API ID: google/google-gemini-4-hydrogen), Google Gemini 4 Hydrogen offers lower standard uncached input pricing at $0.15/1M tokens, while Google Gemini 4 Hydrogen leads in 10-turn 150K cache-pinned coding economics at $0.0547 per 10 turns (saving $0.5803 over Google Gemini 4 Argon). For latency-sensitive interactive agents, Google Gemini 4 Argon delivers 210ms faster P90 time-to-first-token (280ms vs 490ms).
| Specification / FinOps Dimension | Google Gemini 4 Argon (google/gemini-4-argon) | Google Gemini 4 Hydrogen (google/google-gemini-4-hydrogen) | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | google/gemini-4-argon | google/google-gemini-4-hydrogen | UMCE 563-Registry Locked |
| 563-Registry & Routing Eligibility | is_known: true | routable: true | is_known: false | routable: true | Both Merkle Verified |
| Standard Uncached Input (/1M tokens) | $2 / 1M | $0.15 / 1M | Google Gemini 4 Hydrogen |
| Warm Prefix Cache Read (/1M tokens) | $0.1 / 1M | $0.015 / 1M | Google Gemini 4 Hydrogen |
| Standard Output (/1M tokens) | $10 / 1M | $0.6 / 1M | Google Gemini 4 Hydrogen |
| Context Window Capacity | 200K Tokens | 200K Tokens | Google Gemini 4 Argon |
| 150K Prompt × 10 Turns (Unpinned Cold + 2K Out) | $3.2000 | $0.2370 | Google Gemini 4 Hydrogen |
| 150K × 10 Turns Case A (100% Static Pinned) | $0.6350 (saves $2.5650) | $0.0547 (saves $0.1823) | Google Gemini 4 Hydrogen (-$0.5803) |
| 150K × 10 Turns Case B (90% Static + 10% Tail) | $0.8915 (saves $2.3085) | $0.0730 (saves $0.1640) | Google Gemini 4 Hydrogen |
| P50 / P90 First-Token Latency | 190ms / 280ms (124 tok/s) | 333ms / 490ms (97 tok/s) | Google Gemini 4 Argon (-210ms) |
1. Full-Turn Rate-Card Substitution for Google Gemini 4 Argon: At an uncached input rate of $2/1M, output rate of $10/1M, and warm cache read rate of $0.1/1M, running 10 consecutive 150,000-token coding agent turns (with 2,000 output tokens/turn) without prefix pinning costs $3.2000. Locking 100% static prefixes (Case A: 1 cold turn + 9 warm cached turns + 20K total output) reduces 10-turn spend to $0.6350 (saving $2.5650); under a 90% static prefix + 10% dynamic tail workload (Case B), 10-turn spend is $0.8915.
2. Full-Turn Rate-Card Substitution for Google Gemini 4 Hydrogen & Winner Verdict: On Google Gemini 4 Hydrogen ($0.15/1M input, $0.6/1M output, $0.015/1M warm cache), 10 unpinned 150K turns cost $0.2370, dropping to $0.0547 in Case A and $0.0730 in Case B. Across every 10-turn 150K coding loop (including output tokens), Google Gemini 4 Hydrogen delivers an additional $0.5803 Case-A cost advantage.
Production Workload TCO: 25,000 MAU • 50M Tokens/Mo (50% Cache Hit) • 2,000 GB Egress
💡 Optimal FinOps Verdict: Deploying Google Gemini 4 Hydrogen saves $132.70/month ($1592/year) at 25,000 MAU & 50M monthly tokens (80% input / 20% output split with 50% prefix cache hit rate).