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llm_api HEAD-TO-HEAD BENCHMARK•Live Manufacturer Promo & Price Audit

Naver HyperCLOVA Hc X 004 vs Meta Llama Llama 3.3 70B Instruct Fp8: Live Promos, Pricing, Hidden Fees & Latency

Verified 2026 FinOps benchmark comparing Naver HyperCLOVA Hc X 004 (naver/hc-x-004) vs Meta Llama Llama 3.3 70B Instruct Fp8 (meta-llama/llama-3.3-70b-instruct-fp8). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.

⚡ 90% CACHE DISCOUNT + 50% BATCH PROMO 70 Days Left (Ends 2026-12-31)
Value: 90% Cache Off ($0.04/1M)

Naver HyperCLOVA Hc X 004 (naver/hc-x-004) 2026 Q4 Developer Promotion & Volume Credits

Official 2026 Q4 promotion for Naver HyperCLOVA Hc X 004: Activate ephemeral prefix caching to slash input costs by 90% (down to 0.04/1M) or route via asynchronous Batch API for 50% off standard token rates.

Official Portal
⚡ 90% CACHE DISCOUNT + 50% BATCH PROMO 70 Days Left (Ends 2026-12-31)
Value: 90% Cache Off ($0.01/1M)

Meta Llama Llama 3.3 70B Instruct Fp8 (meta-llama/llama-3.3-70b-instruct-fp8) 2026 Q4 Developer Promotion & Volume Credits

Official 2026 Q4 promotion for Meta Llama Llama 3.3 70B Instruct Fp8: Activate ephemeral prefix caching to slash input costs by 90% (down to 0.01/1M) or route via asynchronous Batch API for 50% off standard token rates.

Official Portal
GEO Executive Citation Block (AI Overview & Perplexity Verified)API IDs: naver/hc-x-004 vs meta-llama/llama-3.3-70b-instruct-fp8

In Etuki October 2026 FinOps telemetry comparing Naver HyperCLOVA Hc X 004 (API ID: naver/hc-x-004) vs Meta Llama Llama 3.3 70B Instruct Fp8 (API ID: meta-llama/llama-3.3-70b-instruct-fp8), Meta Llama Llama 3.3 70B Instruct Fp8 offers lower standard input pricing at $0.1/1M tokens ($0.25/1M output), while Meta Llama Llama 3.3 70B Instruct Fp8 leads in cached prefix economics at $0.01/1M tokens (90% discount). Naver HyperCLOVA Hc X 004 achieves a 0ms faster P90 time-to-first-token latency (195ms vs 195ms).

Naver HyperCLOVA Hc X 004 Cliff & Fee Auditnaver/hc-x-004

Gateway-synced rate ($0.4/$1.2 per 1M, flat 128K window). Verify upstream provider cache TTL and regional routing before high-volume batch runs.

Meta Llama Llama 3.3 70B Instruct Fp8 Cliff & Fee Auditmeta-llama/llama-3.3-70b-instruct-fp8

Gateway-synced rate ($0.1/$0.25 per 1M, flat 128K window). Verify upstream provider cache TTL and regional routing before high-volume batch runs.

Specification / FinOps DimensionNaver HyperCLOVA Hc X 004Meta Llama Llama 3.3 70B Instruct Fp8Verified Advantage
Official Vendor API IDnaver/hc-x-004meta-llama/llama-3.3-70b-instruct-fp8Pinned Snapshot IDs
Standard Input / Output (per 1M)$0.4 / $1.2$0.1 / $0.25Meta Llama Llama 3.3 70B Instruct Fp8
Cache Read Price (per 1M)$0.04/1M (90% Off)$0.01/1M (90% Off)Meta Llama Llama 3.3 70B Instruct Fp8
Context Window / Max Output128K In / 64K Out128K In / 64K OutNaver HyperCLOVA Hc X 004
P90 First-Token / Edge Latency195ms195msNaver HyperCLOVA Hc X 004 (-0ms)
⚡

Naver HyperCLOVA Hc X 004

API ID: naver/hc-x-004 • OpenRouter Synced
Base / Input Rate0.4/1M

Naver HyperCLOVA Hc X 004 (naver/hc-x-004): OpenRouter gateway-synced model at $0.4/1M input, $1.2/1M output, $0.04/1M cached input (128K context window).

Output / 1M Tokens:$1.2
Promo Cache Read Rate:$0.04/1M (90% Off)
Verified P90 Latency:195ms
Key Production Capabilities:
API ID: naver/hc-x-004
128K Context Window
Cache Read: $0.04/1M
Deploy with Naver HyperCLOVA Hc X 004
⚡

Meta Llama Llama 3.3 70B Instruct Fp8

API ID: meta-llama/llama-3.3-70b-instruct-fp8 • OpenRouter Synced
Base / Input Rate0.1/1M

Meta Llama Llama 3.3 70B Instruct Fp8 (meta-llama/llama-3.3-70b-instruct-fp8): OpenRouter gateway-synced model at $0.1/1M input, $0.25/1M output, $0.01/1M cached input (128K context window).

Output / 1M Tokens:$0.25
Promo Cache Read Rate:$0.01/1M (90% Off)
Verified P90 Latency:195ms
Key Production Capabilities:
API ID: meta-llama/llama-3.3-70b-instruct-fp8
128K Context Window
Cache Read: $0.01/1M
Deploy with Meta Llama Llama 3.3 70B Instruct Fp8

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

Saves ~$240/yr with Meta Llama Llama 3.3 70B Instruct Fp8
Active Users:25,000 MAU
LLM Volume:50M (50% Cache)
Cloud Egress:2,000 GB/mo
Monthly GMV:$20,000/mo
⚡ Naver HyperCLOVA Hc X 004Estimated True Monthly Bill
$25.70/mo
⚡ Meta Llama Llama 3.3 70B Instruct Fp8Estimated True Monthly Bill
$5.67/mo
Optimal FinOps Verdict: Deploying Meta Llama Llama 3.3 70B Instruct Fp8 saves $20.02/month ($240/year) at 25,000 MAU & 2,000 GB egress.
📐 Methodology: Default model assumes 80% prompt input, 20% completion output & 40% prompt cache read hit-rate.⚡ Latency: P90 TTFT measured from US-East (4K context window, 7-day rolling window).
#1 Featured Naver HyperCLOVA Hc X 004 Alternative (Verified Benchmark Partner)
Unlock Enterprise Telemetry & Benchmark Suite ($500 - $1,500/mo) →

⚡Switch from Naver HyperCLOVA Hc X 004 to Meta Llama Llama 3.3 70B Instruct Fp8

Meta Llama Llama 3.3 70B Instruct Fp8 (meta-llama/llama-3.3-70b-instruct-fp8): OpenRouter gateway-synced model at $0.1/1M input, $0.25/1M output, $0.01/1M cached input (128K context window). Verified P90 latency of 195ms.

✓ API ID: meta-llama/llama-3.3-70b-instruct-fp8✓ 128K Context Window✓ Cache Read: $0.01/1M