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Llama 3.3 Instruct 70B

MetaLlamaOpen WeightLlama 3.3 Community License Agreement

Description

Llama 3.3 is a multilingual large language model optimized for dialogue use cases across multiple languages. It is a pretrained and instruction-tuned generative model with 70 billion parameters, outperforming many open-source and closed chat models on common industry benchmarks. Llama 3.3 supports a context length of 128,000 tokens and is designed for commercial and research use in multiple languages.

Release Date
2024-12-06
Parameters
70.0B
Context Length
131K
Modalities
text

Capability Radar

27
general
19
coding
28
reasoning
32
science
80
agents
0
multimodal

Rankings

Domain#RankScoreSource
Code Ranking438
17.0
AA
General Ranking344
36.0
AA
Science404
32.0
AA

Benchmark Scores (LLM Stats)

(LLM Stats (zeroeval))

Biology

GPQANYU + Cohere + Anthropic (2023)50.5%SR

Code

HumanEvalOpenAI (2021)88.4%SR

Finance

MMLU86.0%SR
MMLU-Pro68.9%SR

General

IFEvalGoogle Research (2023)92.1%SR
MBPP EvalPlus87.6%SR
BFCL v277.3%SR

Math

MGSM91.1%SR
MATH77.0%SR

AA Evaluation Indices

(Artificial Analysis)
Coding Index(Artificial Analysis)
11.9
Intelligence Index(Artificial Analysis)
9.3
Math Index(Artificial Analysis)
7.7
Math 500(OpenAI (2024), subset of Hendrycks et al. MATH (2021))
0.8
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))
0.7
Gpqa(NYU + Cohere + Anthropic (2023))
0.5
Ifbench(Google Research (2023))
0.5
Aime(MAA (Mathematical Association of America))
0.3
Livecodebench(UC Berkeley + MIT + Cornell (2024))
0.3
Tau2(Sierra + U Toronto + Vector Institute (2025))
0.3
Scicode(UIUC + Argonne National Lab (2024))
0.3
Lcr(Artificial Analysis)
0.2
Aime 25(MAA (Mathematical Association of America))
0.1
Terminalbench V2 1
0.0
Hle(Center for AI Safety + Scale AI (2025))
0.0
Terminalbench Hard(Stanford × Laude Institute (2026))
0.0

LLM Stats Category Scores

(LLM Stats (zeroeval))
Structured Output
90
Instruction Following
90
Code
90
Legal
80
Math
80
Reasoning
80
Language
80
Finance
80
General
80
Healthcare
80
Tool Calling
80
Physics
50
Biology
50
Chemistry
50

Pricing

Input Price$0.655 / 1M tokens
Output Price$0.72 / 1M tokens
Blended Price (3:1)$0.671 / 1M tokens

Speed

Tokens/sec80.5
Time to First Token0.67s
Time to Answer0.67s

Provider Price Ranking

Provider Price Ranking

5 providers

Cheapest: NanoGPTMost Expensive: Meta
ProviderInputOutput
1NanoGPTCheapest
$0.05
$0.23
2OpenRouter
$0.1
$0.32
3Kilo Gateway
$0.1
$0.32
4NovitaAI
$0.135
$0.4
5MetaPRIMARY
$0.655
$0.72

Compare pricing across different API providers for this model.

External Sources

LLM StatsArtificial Analysis