DeepSeek V3 vs Google Gemini 2.5 Pro — API Pricing, 150K Cache & Latency Benchmark
Side-by-side unit economics audit comparing DeepSeek V3 (deepseek/deepseek-v3: Input $1/1M, Output $4/1M, Warm Cache Read $0.1/1M) against Google Gemini 2.5 Pro (google/gemini-2.5-pro: Input $1.25/1M, Output $10/1M, Warm Cache Read $0.31/1M).
Activate 4-breakpoint prefix caching on DeepSeek V3 to cut input token costs from $1/1M down to $0.1/1M, or route async workloads via Batch API for 50% off.
Lock static system prompt prefixes on Google Gemini 2.5 Pro to pay $0.31/1M warm cache rates instead of $1.25/1M uncached input, plus eligible startup cloud credits.
In Etuki FinOps telemetry comparing DeepSeek V3 (API ID: deepseek/deepseek-v3) vs Google Gemini 2.5 Pro (API ID: google/gemini-2.5-pro), DeepSeek V3 offers lower standard uncached input pricing at $1/1M tokens, while DeepSeek V3 leads in 10-turn 150K cache-pinned coding economics at $0.3650 per 10 turns (saving $0.4410 over Google Gemini 2.5 Pro). For latency-sensitive interactive agents, DeepSeek V3 delivers 241ms faster P90 time-to-first-token (319ms vs 560ms).
| Specification / FinOps Dimension | DeepSeek V3 (deepseek/deepseek-v3) | Google Gemini 2.5 Pro (google/gemini-2.5-pro) | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | deepseek/deepseek-v3 | google/gemini-2.5-pro | UMCE 563-Registry Locked |
| 563-Registry & Routing Eligibility | is_known: false | routable: true | is_known: true | routable: true | Both Merkle Verified |
| Standard Uncached Input (/1M tokens) | $1 / 1M | $1.25 / 1M | DeepSeek V3 |
| Warm Prefix Cache Read (/1M tokens) | $0.1 / 1M | $0.31 / 1M | DeepSeek V3 |
| Standard Output (/1M tokens) | $4 / 1M | $10 / 1M | DeepSeek V3 |
| Context Window Capacity | 200K Tokens | 200K Tokens | DeepSeek V3 |
| 150K Prompt × 10 Turns (Unpinned Cold + 2K Out) | $1.5800 | $2.0750 | DeepSeek V3 |
| 150K × 10 Turns Case A (100% Static Pinned) | $0.3650 (saves $1.2150) | $0.8060 (saves $1.2690) | DeepSeek V3 (-$0.4410) |
| 150K × 10 Turns Case B (90% Static + 10% Tail) | $0.4865 (saves $1.0935) | $0.9329 (saves $1.1421) | DeepSeek V3 |
| P50 / P90 First-Token Latency | 217ms / 319ms (111 tok/s) | 381ms / 560ms (86 tok/s) | DeepSeek V3 (-241ms) |
1. Full-Turn Rate-Card Substitution for DeepSeek V3: At an uncached input rate of $1/1M, output rate of $4/1M, 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 $1.5800. Locking 100% static prefixes (Case A: 1 cold turn + 9 warm cached turns + 20K total output) reduces 10-turn spend to $0.3650 (saving $1.2150); under a 90% static prefix + 10% dynamic tail workload (Case B), 10-turn spend is $0.4865.
2. Full-Turn Rate-Card Substitution for Google Gemini 2.5 Pro & Winner Verdict: On Google Gemini 2.5 Pro ($1.25/1M input, $10/1M output, $0.31/1M warm cache), 10 unpinned 150K turns cost $2.0750, dropping to $0.8060 in Case A and $0.9329 in Case B. Across every 10-turn 150K coding loop (including output tokens), DeepSeek V3 delivers an additional $0.4410 Case-A cost advantage.
Production Workload TCO: 25,000 MAU • 50M Tokens/Mo (50% Cache Hit) • 2,000 GB Egress
💡 Optimal FinOps Verdict: Deploying DeepSeek V3 saves $69.20/month ($830/year) at 25,000 MAU & 50M monthly tokens (80% input / 20% output split with 50% prefix cache hit rate).