Llama 3.3 70B: Pricing, Context, and Benchmarks
Llama 3.3 70B is Meta's Llama 3 model released on 2024-12-06. It runs on a 128K-token context window, priced at $0.59/M input and $0.79/M output. Open-weight 70B model. Near-405B quality at a fraction of the cost. Together AI list price below.
Specifications
| Provider | Meta |
|---|---|
| Family | Llama 3 |
| Released | 2024-12-06 |
| Status | active |
| Context window | 128K tokens |
| Max output | 8K tokens |
| Modalities | text |
| Capabilities | function calling json mode streaming tool use |
| Tokenizer | llama-3 |
| API endpoint | https://api.together.xyz/v1/chat/completions |
| Documentation | Official docs ↗ |
| Last updated | 2026-05-29 |
Benchmark scores
| Benchmark | Category | Score | Measured | Source |
|---|---|---|---|---|
| HumanEval | coding | 88.4 | 2024-12-06 | ↗ |
| MMLU | general | 86.0 | 2024-12-06 | ↗ |
Scores reflect single measurements on the date shown. Reproducibility varies; consult the linked source for methodology. Use the comparison tool for side-by-side analysis.
What this model is good for
Based on benchmark scores and capability fit, Llama 3.3 70B ranks well for:
- High-Throughput Inference — rank #1. Groq serves this at ~500 tokens/sec — fastest in class.
- Best Open-Weight Model — rank #3. Most permissive license + widest tooling support. The "standard" open default.
Cost calculator
For 1,000 tokens of input and 1,000 tokens of output per call, this model costs $0.0014 per call. For typical usage:
| Workload | Tokens / call (in/out) | $/call | $/1K calls | $/1M calls |
|---|---|---|---|---|
| Short Q&A | 200 / 100 | $0.000197 | $0.20 | $197 |
| Standard chat | 1K / 500 | $0.000985 | $0.99 | $985 |
| RAG with retrieval | 4K / 500 | $0.002755 | $2.76 | $2,755 |
| Long doc summary | 20K / 1K | $0.012590 | $12.59 | $12,590 |
| Long context (100K input) | 100K / 2K | $0.060185 | $60.19 | $60,185 |
For more precise estimates including caching discounts, use the LLM API Cost Calculator.
Other Meta models
Common comparisons
- Llama 3.3 70B vs DeepSeek-R1 Side-by-side specs, pricing, and benchmarks
- Llama 3.3 70B vs Qwen3-235B Side-by-side specs, pricing, and benchmarks
- Llama 3.3 70B vs Gemini 2.5 Flash Side-by-side specs, pricing, and benchmarks
- Llama 3.3 70B vs DeepSeek-V3 Side-by-side specs, pricing, and benchmarks
API setup
curl https://api.together.xyz/v1/chat/completions \
-H "Authorization: Bearer $API_KEY" \
-H "Content-Type: application/json" \
-d '{"model": "llama-3-3-70b", "messages": [{"role": "user", "content": "Hello"}]}'
See the official documentation for the full request/response schema. For pre-flight token counting before paying, use the appropriate token counter.