Anthropic Claude Sonnet 5.5 vs GPT 5.5 Chat Latest — API Pricing, 150K Cache & Latency Benchmark
Side-by-side unit economics audit comparing Anthropic Claude Sonnet 5.5 (anthropic/claude-sonnet-5-5: Input $2/1M, Output $10/1M, Warm Cache Read $0.1/1M) against GPT 5.5 Chat Latest (gpt-5-5-chat-latest: Input $1/1M, Output $4/1M, Warm Cache Read $0.1/1M).
Activate 4-breakpoint prefix caching on Anthropic Claude Sonnet 5.5 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 GPT 5.5 Chat Latest to pay $0.1/1M warm cache rates instead of $1/1M uncached input, plus eligible startup cloud credits.
In Etuki FinOps telemetry comparing Anthropic Claude Sonnet 5.5 (API ID: anthropic/claude-sonnet-5-5) vs GPT 5.5 Chat Latest (API ID: gpt-5-5-chat-latest), GPT 5.5 Chat Latest offers lower standard uncached input pricing at $1/1M tokens, while GPT 5.5 Chat Latest leads in 10-turn 150K cache-pinned coding economics at $0.3650 per 10 turns (saving $0.2700 over Anthropic Claude Sonnet 5.5). For latency-sensitive interactive agents, Anthropic Claude Sonnet 5.5 delivers 40ms faster P90 time-to-first-token (310ms vs 350ms).
| Specification / FinOps Dimension | Anthropic Claude Sonnet 5.5 (anthropic/claude-sonnet-5-5) | GPT 5.5 Chat Latest (gpt-5-5-chat-latest) | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | anthropic/claude-sonnet-5-5 | gpt-5-5-chat-latest | UMCE 563-Registry Locked |
| 563-Registry & Routing Eligibility | is_known: true | routable: true | is_known: true | routable: true | Both Merkle Verified |
| Standard Uncached Input (/1M tokens) | $2 / 1M | $1 / 1M | GPT 5.5 Chat Latest |
| Warm Prefix Cache Read (/1M tokens) | $0.1 / 1M | $0.1 / 1M | Anthropic Claude Sonnet 5.5 |
| Standard Output (/1M tokens) | $10 / 1M | $4 / 1M | GPT 5.5 Chat Latest |
| Context Window Capacity | 200K Tokens | 200K Tokens | Anthropic Claude Sonnet 5.5 |
| 150K Prompt × 10 Turns (Unpinned Cold + 2K Out) | $3.2000 | $1.5800 | GPT 5.5 Chat Latest |
| 150K × 10 Turns Case A (100% Static Pinned) | $0.6350 (saves $2.5650) | $0.3650 (saves $1.2150) | GPT 5.5 Chat Latest (-$0.2700) |
| 150K × 10 Turns Case B (90% Static + 10% Tail) | $0.8915 (saves $2.3085) | $0.4865 (saves $1.0935) | GPT 5.5 Chat Latest |
| P50 / P90 First-Token Latency | 211ms / 310ms (108 tok/s) | 238ms / 350ms (87 tok/s) | Anthropic Claude Sonnet 5.5 (-40ms) |
1. Full-Turn Rate-Card Substitution for Anthropic Claude Sonnet 5.5: 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 GPT 5.5 Chat Latest & Winner Verdict: On GPT 5.5 Chat Latest ($1/1M input, $4/1M output, $0.1/1M warm cache), 10 unpinned 150K turns cost $1.5800, dropping to $0.3650 in Case A and $0.4865 in Case B. Across every 10-turn 150K coding loop (including output tokens), GPT 5.5 Chat Latest delivers an additional $0.2700 Case-A cost advantage.
Production Workload TCO: 25,000 MAU • 50M Tokens/Mo (50% Cache Hit) • 2,000 GB Egress
💡 Optimal FinOps Verdict: Deploying GPT 5.5 Chat Latest saves $80.00/month ($960/year) at 25,000 MAU & 50M monthly tokens (80% input / 20% output split with 50% prefix cache hit rate).