Llama 3.3 70B
ActiveMeta Llama 3.3 70B — improved instruction-following.
Updated 3 days agoStructured data from Modeldex catalog
AgenticOpen source
Not enough benchmark coverage yet for an Intelligence Index — needs at least 3 results across 2 categories.
History
Llama 3.3 70B is available from Meta.
Training & availability
Weights are publicly available, making this an open-weight model suitable for on-prem deployment and fine-tuning.
Capabilities
- Input modalities: text.
Recommended for: agentic, open-source.
Limitations
- Text-only — cannot process images, audio, or video inputs.
Quick start
Minimal example using the OpenRouter API. Copy, paste, replace the key.
from openai import OpenAI
client = OpenAI(
base_url="https://openrouter.ai/api/v1",
api_key="sk-or-...",
)
resp = client.chat.completions.create(
model="meta/llama-3-3-70b",
messages=[{"role": "user", "content": "Explain quantum computing in one sentence."}],
)
print(resp.choices[0].message.content)Cost calculator
Estimate your monthly bill. Presets are typical workload sizes.
5.0M
@ $0.1/1M
2.0M
@ $0.32/1M
Input cost
$0.5
5.0M × $0.1/1M
Output cost
$0.64
2.0M × $0.32/1M
Total / month
$1.14
$13.68 / year
Integrations & tooling support
- Tool calling
- Supported
- Structured outputs
- Not supported
Price vs quality
Budget pricing
Priced low — good for high-volume tasks. Quality tier pending more benchmark coverage.
- Quality percentile
- —
- Effective price
- $0.265/1M
- Pricing breakdown
- $0.1/1M in
$0.32/1M out
not enough benchmark coverage
/ 1M tokens (input + 3× output)
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Comments
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