Meta model product
Llama 3.3 70B
3 70B is a multilingual large language model from Meta optimized for dialogue use cases.
Updated Sep 8, 2026. Default version: Llama 3.3 70B Instruct
LLMBoard Score20.2Llama 3.3 70B Instruct
Coverage0%8 benchmark families
Context window128KTokens
Official input priceN/AOfficial price unavailable
Llama 3.3 70B Capability Profile
This profile uses the model's current scored version. Arena ratings and prices are shown separately.
Llama 3.3 70B Benchmark Results
Benchmark scores for Llama 3.3 70B Instruct.
Sort by
Benchmark | Score | Rank | Participants | Percentile | Evidence | Evaluated |
|---|
| BenchmarkBFCL v2 | Score77.30% | Rank01 | Participants5 | Percentile100.00% | EvidenceC | Evaluated |
| BenchmarkMBPP EvalPlus | Score87.60% | Rank02 | Participants2 | Percentile0.00% | EvidenceC | Evaluated |
| BenchmarkMGSM | Score91.10% | Rank05 | Participants31 | Percentile86.67% | EvidenceC | Evaluated |
| BenchmarkIFEval | Score92.10% | Rank09 | Participants68 | Percentile88.06% | EvidenceC | Evaluated |
| BenchmarkHumanEval | Score88.40% | Rank22 | Participants66 | Percentile67.69% | EvidenceC | Evaluated |
| BenchmarkMATH | Score77.00% | Rank23 | Participants71 | Percentile68.57% | EvidenceC | Evaluated |
| BenchmarkMMLU | Score86.00% | Rank34 | Participants101 | Percentile67.00% | EvidenceC | Evaluated |
| BenchmarkMMLU-Pro | Score68.90% | Rank94 | Participants138 | Percentile32.12% | EvidenceC | Evaluated |
| BenchmarkLM Arena Text Style Control | Score1,317.44 rating | Rank171 | Participants210 | Percentile18.66% | EvidenceA | Evaluated |
| BenchmarkLM Arena Text | Score1,273.88 rating | Rank178 | Participants210 | Percentile15.31% | EvidenceA | Evaluated |
| BenchmarkGPQA | Score50.50% | Rank189 | Participants247 | Percentile23.58% | EvidenceC | Evaluated |
Llama 3.3 70B Arena Results
Preference and agent-evaluation results for the default version.
Sort by
Arena | Category | Rank | Rating / score | Votes | Observations | Result date |
|---|
| Arenatext style control | Categorypolish | Rank135 | Rating / score1,318.88 | Votes1,451 | ObservationsN/A | Result date |
| Arenatext | Categorypolish | Rank143 | Rating / score1,259.05 | Votes1,451 | ObservationsN/A | Result date |
| Arenatext | Categoryfrench | Rank150 | Rating / score1,280.01 | Votes570 | ObservationsN/A | Result date |
| Arenatext style control | Categoryfrench | Rank151 | Rating / score1,326.00 | Votes570 | ObservationsN/A | Result date |
| Arenatext style control | Categoryjapanese | Rank151 | Rating / score1,212.43 | Votes1,157 | ObservationsN/A | Result date |
| Arenatext | Categoryspanish | Rank152 | Rating / score1,268.62 | Votes635 | ObservationsN/A | Result date |
| Arenatext | Categorygerman | Rank155 | Rating / score1,250.70 | Votes1,221 | ObservationsN/A | Result date |
| Arenatext style control | Categorygerman | Rank155 | Rating / score1,289.93 | Votes1,221 | ObservationsN/A | Result date |
| Arenatext style control | Categoryindustry legal and government | Rank157 | Rating / score1,342.52 | Votes3,151 | ObservationsN/A | Result date |
| Arenatext | Categoryjapanese | Rank158 | Rating / score1,148.68 | Votes1,157 | ObservationsN/A | Result date |
| Arenatext style control | Categorykorean | Rank158 | Rating / score1,215.56 | Votes855 | ObservationsN/A | Result date |
| Arenatext style control | Categoryspanish | Rank159 | Rating / score1,304.15 | Votes635 | ObservationsN/A | Result date |
| Arenatext | Categorykorean | Rank162 | Rating / score1,141.94 | Votes855 | ObservationsN/A | Result date |
| Arenatext style control | Categoryenglish | Rank163 | Rating / score1,343.69 | Votes29,209 | ObservationsN/A | Result date |
| Arenatext style control | Categoryindustry mathematical | Rank164 | Rating / score1,301.60 | Votes5,227 | ObservationsN/A | Result date |
| Arenatext style control | Categoryindustry medicine and healthcare | Rank164 | Rating / score1,341.27 | Votes2,732 | ObservationsN/A | Result date |
| Arenatext style control | Categorymath | Rank164 | Rating / score1,295.89 | Votes5,768 | ObservationsN/A | Result date |
| Arenatext style control | Categoryindustry life and physical and social science | Rank165 | Rating / score1,339.87 | Votes9,339 | ObservationsN/A | Result date |
| Arenatext | Categoryenglish | Rank168 | Rating / score1,303.51 | Votes29,209 | ObservationsN/A | Result date |
| Arenatext style control | Categoryindustry entertainment and sports and media | Rank168 | Rating / score1,284.77 | Votes9,695 | ObservationsN/A | Result date |
| Arenatext style control | Categorymulti turn | Rank168 | Rating / score1,316.39 | Votes9,067 | ObservationsN/A | Result date |
| Arenatext | Categorymath | Rank169 | Rating / score1,267.47 | Votes5,768 | ObservationsN/A | Result date |
| Arenatext | Categorymulti turn | Rank169 | Rating / score1,279.64 | Votes9,067 | ObservationsN/A | Result date |
| Arenatext | Categoryindustry legal and government | Rank170 | Rating / score1,284.16 | Votes3,151 | ObservationsN/A | Result date |
| Arenatext style control | Categoryhard prompts english | Rank170 | Rating / score1,336.52 | Votes9,527 | ObservationsN/A | Result date |
| Arenatext | Categorycreative writing | Rank171 | Rating / score1,250.31 | Votes8,025 | ObservationsN/A | Result date |
| Arenatext | Categoryindustry medicine and healthcare | Rank171 | Rating / score1,274.14 | Votes2,732 | ObservationsN/A | Result date |
| Arenatext style control | Categorycreative writing | Rank171 | Rating / score1,284.98 | Votes8,025 | ObservationsN/A | Result date |
| Arenatext style control | Categoryexclude ties | Rank171 | Rating / score1,261.17 | Votes36,683 | ObservationsN/A | Result date |
| Arenatext style control | Categoryoverall | Rank171 | Rating / score1,317.44 | Votes54,415 | ObservationsN/A | Result date |
Llama 3.3 70B Pricing
Official vendor API pricing appears first, followed by individual provider offers.
- Official API
- N/A
- Official provider
- N/A
- Lowest third-party
- From $0.05 input, $0.23 output per 1M via NanoGPT
- Tracked offerings
- 32
Sort by
Provider | Provider model ID | Region | Input / 1M | Output / 1M | Context | Updated |
|---|
| ProviderNvidia | Provider model IDmeta/llama-3.3-70b-instruct | Regionglobal | Input / 1MN/A | Output / 1MN/A | Context128K | Updated |
| ProviderLlama | Provider model IDllama-3.3-70b-instruct | Regionglobal | Input / 1MN/A | Output / 1MN/A | Context128K | Updated |
| ProviderPendra | Provider model IDllama3.3:70b | Regionglobal | Input / 1MN/A | Output / 1MN/A | Context128K | Updated |
| ProviderVercel AI Gateway | Provider model IDmeta/llama-3.3-70b | Regionglobal | Input / 1MN/A | Output / 1MN/A | Context128K | Updated |
| ProviderNanoGPT | Provider model IDmeta-llama/llama-3.3-70b-instruct | Regionglobal | Input / 1M$0.05 | Output / 1M$0.23 | Context131.1K | Updated |
| ProviderMeganova | Provider model IDmeta-llama/Llama-3.3-70B-Instruct | Regionglobal | Input / 1M$0.10 | Output / 1M$0.30 | Context131.1K | Updated |
| ProviderOpenRouter | Provider model IDmeta-llama/llama-3.3-70b-instruct | Regionglobal | Input / 1M$0.10 | Output / 1M$0.32 | Context131.1K | Updated |
| ProviderKilo Gateway | Provider model IDmeta-llama/llama-3.3-70b-instruct | Regionglobal | Input / 1M$0.10 | Output / 1M$0.32 | Context131.1K | Updated |
| ProviderCortecs | Provider model IDllama-3.3-70b-instruct | Regionglobal | Input / 1M$0.129 | Output / 1M$0.399 | Context131K | Updated |
| ProviderIO.NET | Provider model IDmeta-llama/Llama-3.3-70B-Instruct | Regionglobal | Input / 1M$0.13 | Output / 1M$0.38 | Context128K | Updated |
| ProviderHelicone | Provider model IDllama-3.3-70b-instruct | Regionglobal | Input / 1M$0.13 | Output / 1M$0.39 | Context128K | Updated |
| ProviderNovitaAI | Provider model IDmeta-llama/llama-3.3-70b-instruct | Regionglobal | Input / 1M$0.135 | Output / 1M$0.40 | Context131.1K | Updated |
| ProviderDevPass (LLM Gateway) | Provider model IDllama-3.3-70b-instruct | Regionglobal | Input / 1M$0.135 | Output / 1M$0.40 | Context131.1K | Updated |
| ProviderMerge Gateway | Provider model IDmeta/llama-3.3-70b-instruct | Regionglobal | Input / 1M$0.22 | Output / 1M$0.50 | Context131.1K | Updated |
| ProviderCrusoe | Provider model IDmeta-llama/Llama-3.3-70B-Instruct | Regionglobal | Input / 1M$0.25 | Output / 1M$0.75 | Context128K | Updated |
| ProviderNeon | Provider model IDmeta-llama-3-3-70b-instruct | Regionglobal | Input / 1M$0.50 | Output / 1M$1.5 | Context128K | Updated |
| ProviderHugging Face | Provider model IDmeta-llama/Llama-3.3-70B-Instruct | Regionglobal | Input / 1M$0.59 | Output / 1M$0.79 | Context131.1K | Updated |
| ProviderAbacus | Provider model IDmeta-llama/Meta-Llama-3.3-70B-Instruct | Regionglobal | Input / 1M$0.59 | Output / 1M$0.79 | Context131.1K | Updated |
| ProviderRegolo AI | Provider model IDllama-3.3-70b-instruct | Regionglobal | Input / 1M$0.60 | Output / 1M$2.7 | Context128K | Updated |
| ProviderCharm Hyper | Provider model IDllama-3.3-70b-instruct | Regionglobal | Input / 1M$0.6066 | Output / 1M$1.04 | Context128K | Updated |
| ProviderAzure Cognitive Services | Provider model IDllama-3.3-70b-instruct | Regionglobal | Input / 1M$0.71 | Output / 1M$0.71 | Context128K | Updated |
| ProviderAzure | Provider model IDllama-3.3-70b-instruct | Regionglobal | Input / 1M$0.71 | Output / 1M$0.71 | Context128K | Updated |
| ProviderVertex | Provider model IDmeta/llama-3.3-70b-instruct-maas | Regionglobal | Input / 1M$0.72 | Output / 1M$0.72 | Context128K | Updated |
| ProviderAmazon Bedrock | Provider model IDmeta.llama3-3-70b-instruct-v1:0 | Regionglobal | Input / 1M$0.72 | Output / 1M$0.72 | Context128K | Updated |
| Providerwatsonx.ai | Provider model IDmeta-llama/llama-3-3-70b-instruct | Regionglobal | Input / 1M$0.7526 | Output / 1M$0.7526 | Context131.1K | Updated |
| ProviderScaleway | Provider model IDllama-3.3-70b-instruct | Regionglobal | Input / 1M$0.90 | Output / 1M$0.90 | Context100K | Updated |
| ProviderPioneer | Provider model IDmeta-llama/Llama-3.3-70B-Instruct | Regionglobal | Input / 1M$0.90 | Output / 1M$0.90 | Context16.4K | Updated |
| Providerevroc | Provider model IDnvidia/Llama-3.3-70B-Instruct-FP8 | Regionglobal | Input / 1M$1.15 | Output / 1M$1.15 | Context128K | Updated |
| ProviderGreenPT | Provider model IDllama-3.3-70b-instruct | Regionglobal | Input / 1M$1.25 | Output / 1M$1.25 | Context100K | Updated |
| ProviderTinfoil | Provider model IDllama3-3-70b | Regionglobal | Input / 1M$1.75 | Output / 1M$2.75 | Context131.1K | Updated |
Llama 3.3 70B Runtime Performance
Provider-specific output speed and catalog latency for Llama 3.3 70B Instruct. Runtime does not affect the capability score.
Sort by
Provider | Output Speed | Catalog Latency | Max Input | Max Output | Updated |
|---|
| ProviderCerebras | Output Speed2,220.00 tok/s | Catalog Latency0.65 s | Max Input128K | Max Output128K | Updated |
| ProviderGroq | Output Speed268.00 tok/s | Catalog Latency0.65 s | Max Input128K | Max Output128K | Updated |
| ProviderDeepInfra | Output Speed37.00 tok/s | Catalog Latency0.65 s | Max Input128K | Max Output128K | Updated |
Output Speed is generated output tokens received per second. Catalog latency is reported separately from observed provider TTFT.
Llama 3.3 70B Specifications
Technical details for the model's default version.
- Version
- Llama 3.3 70B Instruct
- Released
- Dec 6, 2024
- Knowledge cutoff
- Unknown
- Parameters
- 70B
- Context window
- 128K
- Max output
- 128K
- Inputs
- text
- Outputs
- text
- Open weights
- Yes
- License
- Llama 3.3 Community License Agreement
Llama 3.3 70B Versions
Available versions of this model. The score column identifies the version used in the overall ranking.
Sort by
Version | Released | LLMBoard | Parameters | Context | Max output | Open weights | License |
|---|
| VersionLlama 3.3 70B Instruct | Released | LLMBoard20.20 | Parameters70B | Context128K | Max output128K | Open weightsYes | LicenseLlama 3.3 Community License Agreement |
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What is Llama 3.3 70B?
Key information about Llama 3.3 70B and its available data.
3 70B is a pretrained and instruction-tuned generative model with 70 billion parameters and a context length of 128,000 tokens. It is designed for commercial and research use across multiple languages.
Data as of 2026-09-08.
FAQ
Common questions about Llama 3.3 70B.
When was Llama 3.3 70B released?
Llama 3.3 70B's default version was released on Dec 6, 2024.
How much does Llama 3.3 70B cost?
No official standard PAYG price is currently available for Llama 3.3 70B. The lowest tracked third-party offer starts at $0.05 input and $0.23 output via NanoGPT.
Who created Llama 3.3 70B?
Llama 3.3 70B was created by Meta.
What is the context window for Llama 3.3 70B?
The default version has a 128K token context window.
Is Llama 3.3 70B open weight?
Yes. The default version is marked as open weight under Llama 3.3 Community License Agreement.
How many API providers offer Llama 3.3 70B?
32 provider offerings are linked to the default version.