LG EXAONE Exaone 3.5 2.4B Instruct vs Anthropic Claude Haiku 5.5: Live Promos, Pricing, Hidden Fees & Latency
LG EXAONE Exaone 3.5 2.4B Instruct (lgai-exaone/exaone-3.5-2.4b-instruct) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for LG EXAONE Exaone 3.5 2.4B Instruct: Activate ephemeral prefix caching to slash input costs by 90% (down to 0.002/1M) or route via asynchronous Batch API for 50% off standard token rates.
Anthropic Claude Haiku 5.5 (claude-haiku-5-5) — $25,000 Startup Credits & 90% 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 LG EXAONE Exaone 3.5 2.4B Instruct (API ID: lgai-exaone/exaone-3.5-2.4b-instruct) vs Anthropic Claude Haiku 5.5 (API ID: claude-haiku-5-5), LG EXAONE Exaone 3.5 2.4B Instruct offers lower standard input pricing at $0.02/1M tokens ($0.06/1M output), while LG EXAONE Exaone 3.5 2.4B Instruct leads in cached prefix economics at $0.002/1M tokens (90% discount). Anthropic Claude Haiku 5.5 achieves a 115ms faster P90 time-to-first-token latency (80ms vs 195ms).
Gateway-synced rate ($0.02/$0.06 per 1M, flat 64K window). Verify upstream provider cache TTL and regional routing before high-volume batch runs.
<=100K: $0.10/$0.50 ($0.01 cache); >100K (including cached tokens) jumps 5x to $0.50/$2.50 ($0.05 cache) for the full request.
| Specification / FinOps Dimension | LG EXAONE Exaone 3.5 2.4B Instruct | Anthropic Claude Haiku 5.5 | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | lgai-exaone/exaone-3.5-2.4b-instruct | claude-haiku-5-5 | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.02 / $0.06 | $0.1 / $0.5 | LG EXAONE Exaone 3.5 2.4B Instruct |
| Cache Read Price (per 1M) | $0.002/1M (90% Off) | $0.01/1M (90% Off) | LG EXAONE Exaone 3.5 2.4B Instruct |
| Context Window / Max Output | 64K In / 64K Out | 1000K In / 64K Out | LG EXAONE Exaone 3.5 2.4B Instruct |
| P90 First-Token / Edge Latency | 195ms | 80ms | Anthropic Claude Haiku 5.5 (-115ms) |
LG EXAONE Exaone 3.5 2.4B Instruct (lgai-exaone/exaone-3.5-2.4b-instruct): OpenRouter gateway-synced model at $0.02/1M input, $0.06/1M output, $0.002/1M cached input (64K context window).
Anthropic Oct 7, 2026 ultra-fast model: $0.10/$0.50 (Cache $0.01/1M) for prompts ≤100K tokens; jumps 5x to $0.50/$2.50 (Cache $0.05) for >100K tokens.
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 LG EXAONE Exaone 3.5 2.4B Instruct to Anthropic Claude Haiku 5.5
Anthropic Oct 7, 2026 ultra-fast model: $0.10/$0.50 (Cache $0.01/1M) for prompts ≤100K tokens; jumps 5x to $0.50/$2.50 (Cache $0.05) for >100K tokens. Verified P90 latency of 80ms.