Meta: Llama 3.3 70B Instruct
micrometa-llama/llama-3.3-70b-instruct
The Meta Llama 3.3 multilingual large language model (LLM) is a pretrained and instruction tuned generative model in 70B (text in/text out). The Llama 3.3 instruction tuned text only model...
AA INDEX7.7
CONTEXT131K
MODALITYtext->text
OPENNESSProprietary
ADDEDAug 2026
LAST PRICED4 min ago
Input
$0.29 /M
Output
$0.71 /M
Blended (40/60)
$0.71 /M
Cost / IQ
$3.7057 /M
Cost / IQ = Blended Price ÷ (AA Intelligence Score ÷ 40). Normalises price by model intelligence so you can compare value across tiers. Lower = better value per unit of intelligence. Not a transactional price.
24h0%
7d0%
Price History
30-day view, daily close
Low: $0.71/M
High: $0.71/M
Average: $0.71/M
Provider Comparison
9 providers · click a column to sort
| Provider | Input $/M | Output $/M | Blended $/M ↑ | vs Median |
|---|---|---|---|---|
| ↓DeepInfra | $0.10 | $0.32 | $0.23 | -67.3% |
| Novita | $0.14 | $0.40 | $0.29 | -58.6% |
| Parasail | $0.22 | $0.50 | $0.39 | -45.4% |
| AkashML | $0.20 | $0.52 | $0.39 | -44.8% |
| CoreWeave | $0.71 | $0.71 | $0.71 | median |
| Groq | $0.59 | $0.79 | $0.71 | median |
| $0.72 | $0.72 | $0.72 | +1.4% | |
| SambaNova | $0.45 | $0.90 | $0.72 | +1.4% |
| Cloudflare | $0.29 | $2.25 | $1.47 | +106.9% |
Blended price = 40% input + 60% output. Median price shown in header is the reference price for this model.
Cost / IQ Comparison
Cost / IQ (quality-adjusted $/M)$3.7057/M
Cost per GPT-4-equivalent token. Lower = better value. Comparable across all models.
At or below SIT TPI
Value Ranking (by Cost / IQ)
Rank #473 of 531 micro models
← YOU ARE HERE | Meta: Llama 3.3 70B Instruct
Data Sources
Source
Aggregator & direct provider data
9 sources · updated recently
API Access
# Get this model's current price
curl https://api.inferenceindexer.ai/v1/models/meta-llama/llama-3.3-70b-instruct
# Response (truncated)
{ "model_id": "meta-llama/llama-3.3-70b-instruct", "name": "Meta: Llama 3.3 70B Instruct", "blended_price_per_m": 0.71, "sit_adjusted_price": 3.705729 }