Quality
#36/679.4
Overall quality score
🇺🇸MetaOpen sourceMeta: Llama 3.3 70B Instruct.
See how Meta: Llama 3.3 70B Instruct compares with other broadly useful AI models across quality, speed, price, context, and practical capabilities.
Speed
#18/67104 t/s
Output tokens per second
Input price
#13/67$0.10/1M
Per 1M tokens
Output price
#17/67$0.32/1M
Per 1M tokens
Context
#56/67131.1K
Content read at once
Comparison summary
Meta: Llama 3.3 70B Instruct ranks #36 of 67 for overall quality and #18 for response speed in the current catalogue.
Its listed input price is $0.10/1M, output price is $0.32/1M, and it can work with up to 131.1K of context at once.
Its strongest areas in the current data are coding, everyday help, math and logic.
Practical specifications
- Company
- Meta
- Reasoning
- No
- Open weights
- Yes
- Input
- Text
- Output
- Text
- Context window
- 131.1K
Meta: Llama 3.3 70B Instruct technical benchmarks.
Named evaluation records for technical comparison. Results retain their original benchmark names and sources.
| Benchmark | Area | Llama 3.3 70B Instruct | Source |
|---|---|---|---|
| Intelligence Index | overallQuality | 9.4 | OpenRouter / artificial-analysis |
| Coding Index | coding | 11.9 | OpenRouter / artificial-analysis |
| Agentic Index | agentic | 0.3 | OpenRouter / artificial-analysis |
| GPQA | GPQA Diamond | 49.8 | OpenRouter model benchmarks |
| Humanity's Last Exam | HLE | 4 | OpenRouter model benchmarks |
| IFBench | IFBench | 47.1 | OpenRouter model benchmarks |
| τ²-Bench Telecom | τ²-Bench Telecom | 26.6 | OpenRouter model benchmarks |
| AA-LCR | AA-LCR | 15 | OpenRouter model benchmarks |
| GDPval-AA | GDPval-AA | 0 | OpenRouter model benchmarks |
| CritPt | CritPt | 0 | OpenRouter model benchmarks |
| SciCode | SciCode | 26 | OpenRouter model benchmarks |
| Terminal-Bench Hard | Terminal-Bench Hard | 3 | OpenRouter model benchmarks |
| AA-Omniscience Accuracy | AA-Omniscience Accuracy | 17.9 | OpenRouter model benchmarks |
| AA-Omniscience Non-Hallucination Rate | AA-Omniscience Non-Hallucination Rate | 14.9 | OpenRouter model benchmarks |
Quality benchmarks
See where Meta: Llama 3.3 70B Instruct stands.
The darker bar marks Meta: Llama 3.3 70B Instruct; the lighter bars provide context from other leading models.
Highlights
Quality
Overall capability · Higher is better
Speed
Output tokens per second · Higher is better
Input price
USD per 1M tokens · Lower is better