Meta: Llama-3.3-70B-Instruct
Popular open Llama workhorse for multilingual chat, coding, and self-hosting
Cheapest input
$0.5
$/MTok · models.dev
Cheapest output
$1.50
$/MTok
Context
131K
tokens
Offers
8
2 sources
Offers
Same model, different listings. First-party, router, and aggregator rows stay separate so you can see the spread instead of a single blended number.
| Source | Provider | Input | Output | Cache read | Context |
|---|---|---|---|---|---|
| models.devcheapestmeta-llama-3-3-70b-instruct | Neon | $0.5 | $1.50 | $0 | 128K |
| models.devmeta-llama/Meta-Llama-3.3-70B-Instruct | Abacus | $0.59 | $0.79 | $0 | 131K |
| LiteLLMMeta-Llama-3.3-70B-Instruct | — | $0.6 | $1.20 | $0.06 | — |
| LiteLLMsambanova/Meta-Llama-3.3-70B-Instruct | — | $0.6 | $1.20 | $0.06 | — |
| LiteLLMMeta-Llama-3_3-70B-Instruct | — | $0.67 | $0.67 | $0.067 | — |
| LiteLLMovhcloud/Meta-Llama-3_3-70B-Instruct | — | $0.67 | $0.67 | $0.067 | — |
| LiteLLMmeta.llama-3.3-70b-instruct | — | $0.72 | $0.72 | $0.072 | — |
| models.devmeta-llama-3_3-70b-instruct | OVHcloud AI Endpoints | $0.74 | $0.74 | $0 | 131K |
Capabilities
- Tool calling
- Structured output
- Attachments
- Open weights
- In: text
- Out: text
Knowledge cutoff: 2023-12Released: 2024-12-06Family: llama
Scores
Sparse coverage on purpose. Missing a score means we have not linked one yet, not that the model is unranked. Full boards on /benchmarks.
- AA intelligence9.4
- AA coding11.9
- AA agentic0.3
Sources: Arena AI, Artificial Analysis. See /benchmarks.