Models
Price comparison

Llama 3.3 70B

Llama 3.3 70B by Meta: 17 offers. From €0.12 per 1M input tokens, with EU processing from €0.63.

Calculate costs for this modelCompare offersView price history

Profile

Profile
DeveloperMeta
TypeLanguage models
OriginUS
Input typestext
Context (tokens)128,000
Max. output (tokens)16,384
Reasoningohne
Parameters (bn)70.6
Open weights✓ yes
LicenceLlama 3.3 Community License
VRAM at 4-bit (GB)43 (RTX PRO 5000)
Released7 Oct 2025

searchit Entity Extraction (24 Sept 2026): 12.6 %

Offers with processing in the EU (7)

ProviderCountryVariantInputOutputSourceAs of
IONOS AI Model HubDEstandard€0.63€0.63cloud.ionos.com6 Oct 2026
cortecsATstandard€0.65€0.65api.cortecs.ai14 Oct 2026
OVHcloudFRstandard€0.67€0.67www.ovhcloud.com13 Oct 2026
ScalewayFRstandard€0.90€0.90www.scaleway.com13 Oct 2026
evrocSEstandard€1.00€1.00evroc.com8 Oct 2026
HostYourAINLstandard€1.04€1.04hostyourai.com14 Oct 2026
GreenPTNLstandard€1.10€1.10docs.greenpt.ai12 Oct 2026

€ per 1M tokens. Source: providers' pricing pages, read and checked by searchit. As of 14 Oct 2026.

Offers outside the EU (10)

ProviderCountryVariantInputOutputSourceAs of
Novita AIUSstandard€0.12€0.36novita.ai13 Oct 2026
Google Vertex AIUSbatch€0.32€0.32cloud.google.com14 Oct 2026
ParasailUSstandard€0.20€0.45www.parasail.io2 Oct 2026
ParasailUSserverless€0.20€0.45www.parasail.io2 Oct 2026
AWS BedrockUSstandard€0.64€0.64pricing.us-east-1.amazonaws.com14 Oct 2026
Google Vertex AIUSstandard€0.64€0.64cloud.google.com14 Oct 2026
io.netUSstandard€0.49€0.91api.intelligence.io.solutions14 Oct 2026
SambaNova (SambaCloud)USstandard€0.54€1.07api.sambanova.ai12 Oct 2026
InfercomDEstandard€0.60€1.20infercom.ai2 Oct 2026
Venice.aiUSstandard€0.63€2.50docs.venice.ai14 Oct 2026

€ per 1M tokens. Source: providers' pricing pages, read and checked by searchit. As of 14 Oct 2026.

AI Act

Whether the developer has signed the Code of Practice for general-purpose AI models: unknown. What this means is explained under “EU and AI Act”. EU processing and AI Act

Benchmarks

Benchmarks
GPQA Diamond (Artificial Analysis)49.8
Humanity's Last Exam (Artificial Analysis)3.6
Berkeley Function-Calling Leaderboard V431.9
OTIS Mock AIME 2024-2025 (Epoch AI)5.1
Vectara HHEM-2.34.1
Vectara HHEM-2.3 – antwortrate99.5
Vectara HHEM-2.3 – halluzination4.1
LiveBench (Aufgabensatz 2026-01-08)50.16
LLMStructBench: Benchmarking Large Language Model Structured Data Extraction (arXiv:2602.14743)0.7
LLMStructBench: Benchmarking Large Language Model Structured Data Extraction (arXiv:2602.14743) – doc micro0.45
LLMStructBench: Benchmarking Large Language Model Structured Data Extraction (arXiv:2602.14743) – f1 micro0.95
LLMStructBench: Benchmarking Large Language Model Structured Data Extraction (arXiv:2602.14743) – score0.7
MÖVE (Bundesdruckerei), arXiv 2606.131110.77
MÖVE (Bundesdruckerei), arXiv 2606.13111 – qa0.69
MÖVE (Bundesdruckerei), arXiv 2606.13111 – themen0.64
MÖVE (Bundesdruckerei), arXiv 2606.13111 – zusammenfassung0.77
searchit Extraktions-Messlauf REPO-9 (PROMPT-CRAWLER-TEXT-START, 8 Dokumente × 3 Läufe) – treffer beziehungen5.4
searchit Extraktions-Messlauf REPO-9 (PROMPT-CRAWLER-TEXT-START, 8 Dokumente × 3 Läufe) – treffer entitaeten19.8
MMLU-Pro (TIGER-Lab Leaderboard)65.9

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