Llama 3.3 70B Instruct
by Meta · meta-llama/llama-3.3-70b-instruct · #74 cheapest of 422 paid models
Prices updated Sep 19, 2026, 6:22 PM UTC · refreshed hourly
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...
Compare vs:Claude Sonnet 5Claude Opus 4.6Claude Haiku 4.5GPT-5.6 Sol
Pricing
Input
$0.10
per 1M tokens
Output
$0.32
per 1M tokens
Blended (3:1)
$0.155
3 input : 1 output
Cache read
—
per 1M cached tokens
Cache write
—
per 1M tokens
Cache & batch economics
Effective prices for Llama 3.3 70B Instruct (no cache-read rate published — hits billed as normal input).
| Cache hit rate | Effective blended $/1M | Example request* | vs no cache |
|---|---|---|---|
| 0% | $0.155 | $0.0105 | — |
| 50% | $0.155 | $0.0105 | −0% |
| 90% | $0.155 | $0.0105 | −0% |
*Example: 100K sticky context + 2K new input + 1K output. Batch discount is an approximate 50% off list rates (available for OpenAI / Anthropic / Google — not flagged for this creator). Confirm on the vendor’s pricing page.
What a request costs
| Workload | Input tokens | Output tokens | Cost / request | Cost / 1K requests |
|---|---|---|---|---|
| Short chat message | 500 | 300 | $0.000146 | $0.146 |
| Document summary | 8,000 | 1,000 | $0.00112 | $1.12 |
| Codebase question (RAG) | 30,000 | 2,000 | $0.00364 | $3.64 |
| Long-context analysis | 150,000 | 5,000 | $0.0166 | $16.60 |
Performance
Intelligence Index
—
AA composite quality
Coding Index
11.9
Math Index
—
Agentic Index
—
Output speed
—
median
Time to first token
—
median
Time to first answer
—
after reasoning tokens
Specs
Context window
131K
tokens
Max output
16K
tokens
Input modalities
text
Tokenizer
Llama3