Meta model product
Llama 3.1 8B
1 8B is a multilingual large language model optimized for dialogue use cases.
Updated Sep 8, 2026. Default version: Llama 3.1 8B Instruct
LLMBoard Score0.0Llama 3.1 8B Instruct
Coverage20%16 benchmark families
Context window131.1KTokens
Official input priceN/AOfficial price unavailable
Llama 3.1 8B Capability Profile
This profile uses the model's current scored version. Arena ratings and prices are shown separately.
Llama 3.1 8B Benchmark Results
Benchmark scores for Llama 3.1 8B Instruct.
Sort by
Benchmark | Score | Rank | Participants | Percentile | Evidence | Evaluated |
|---|
| BenchmarkMBPP EvalPlus (base) | Score72.80% | Rank01 | Participants1 | Percentile100.00% | EvidenceC | Evaluated |
| BenchmarkGSM-8K (CoT) | Score84.50% | Rank02 | Participants2 | Percentile0.00% | EvidenceC | Evaluated |
| BenchmarkAPI-Bank | Score82.60% | Rank03 | Participants3 | Percentile0.00% | EvidenceC | Evaluated |
| BenchmarkBFCL | Score76.10% | Rank03 | Participants11 | Percentile80.00% | EvidenceC | Evaluated |
| BenchmarkGorilla Benchmark API Bench | Score8.20% | Rank03 | Participants3 | Percentile0.00% | EvidenceC | Evaluated |
| BenchmarkMMLU (CoT) | Score73.00% | Rank03 | Participants3 | Percentile0.00% | EvidenceC | Evaluated |
| BenchmarkMultilingual MGSM (CoT) | Score68.90% | Rank03 | Participants3 | Percentile0.00% | EvidenceC | Evaluated |
| BenchmarkMultipl-E HumanEval | Score50.80% | Rank03 | Participants3 | Percentile0.00% | EvidenceC | Evaluated |
| BenchmarkMultipl-E MBPP | Score52.40% | Rank03 | Participants3 | Percentile0.00% | EvidenceC | Evaluated |
| BenchmarkNexus | Score38.50% | Rank03 | Participants4 | Percentile33.33% | EvidenceC | Evaluated |
| BenchmarkMATH (CoT) | Score51.90% | Rank06 | Participants6 | Percentile0.00% | EvidenceC | Evaluated |
| BenchmarkARC-C | Score83.40% | Rank16 | Participants34 | Percentile54.55% | EvidenceC | Evaluated |
| BenchmarkDROP | Score59.50% | Rank24 | Participants30 | Percentile20.69% | EvidenceC | Evaluated |
| BenchmarkHumanEval | Score72.60% | Rank54 | Participants66 | Percentile18.46% | EvidenceC | Evaluated |
| BenchmarkIFEval | Score80.40% | Rank54 | Participants68 | Percentile20.90% | EvidenceC | Evaluated |
| BenchmarkMMLU | Score69.40% | Rank85 | Participants101 | Percentile16.00% | EvidenceC | Evaluated |
| BenchmarkMMLU-Pro | Score48.30% | Rank124 | Participants138 | Percentile10.22% | EvidenceC | Evaluated |
| BenchmarkLM Arena Text | Score1,186.35 rating | Rank204 | Participants210 | Percentile2.87% | EvidenceA | Evaluated |
| BenchmarkLM Arena Text Style Control | Score1,211.03 rating | Rank207 | Participants210 | Percentile1.44% | EvidenceA | Evaluated |
| BenchmarkGPQA | Score30.40% | Rank237 | Participants247 | Percentile4.07% | EvidenceC | Evaluated |
Llama 3.1 8B Arena Results
Preference and agent-evaluation results for the default version.
Sort by
Arena | Category | Rank | Rating / score | Votes | Observations | Result date |
|---|
| Arenatext | Categoryjapanese | Rank168 | Rating / score1,060.99 | Votes1,234 | ObservationsN/A | Result date |
| Arenatext style control | Categoryjapanese | Rank170 | Rating / score1,087.23 | Votes1,234 | ObservationsN/A | Result date |
| Arenatext | Categorykorean | Rank171 | Rating / score1,052.44 | Votes802 | ObservationsN/A | Result date |
| Arenatext style control | Categorykorean | Rank172 | Rating / score1,085.77 | Votes802 | ObservationsN/A | Result date |
| Arenatext | Categoryfrench | Rank173 | Rating / score1,177.10 | Votes478 | ObservationsN/A | Result date |
| Arenatext | Categoryspanish | Rank174 | Rating / score1,168.45 | Votes565 | ObservationsN/A | Result date |
| Arenatext style control | Categoryfrench | Rank177 | Rating / score1,205.62 | Votes478 | ObservationsN/A | Result date |
| Arenatext | Categorygerman | Rank178 | Rating / score1,144.03 | Votes1,295 | ObservationsN/A | Result date |
| Arenatext style control | Categoryspanish | Rank179 | Rating / score1,187.92 | Votes565 | ObservationsN/A | Result date |
| Arenatext style control | Categorygerman | Rank180 | Rating / score1,167.34 | Votes1,295 | ObservationsN/A | Result date |
| Arenatext | Categorymath | Rank194 | Rating / score1,179.21 | Votes7,135 | ObservationsN/A | Result date |
| Arenatext | Categoryindustry mathematical | Rank195 | Rating / score1,180.16 | Votes5,985 | ObservationsN/A | Result date |
| Arenatext | Categorychinese | Rank197 | Rating / score1,150.69 | Votes4,400 | ObservationsN/A | Result date |
| Arenatext | Categoryindustry medicine and healthcare | Rank198 | Rating / score1,180.92 | Votes2,564 | ObservationsN/A | Result date |
| Arenatext | Categoryindustry software and it services | Rank199 | Rating / score1,195.30 | Votes13,139 | ObservationsN/A | Result date |
| Arenatext | Categorycoding | Rank200 | Rating / score1,195.11 | Votes8,582 | ObservationsN/A | Result date |
| Arenatext | Categoryenglish | Rank200 | Rating / score1,217.49 | Votes26,610 | ObservationsN/A | Result date |
| Arenatext | Categoryhard prompts | Rank200 | Rating / score1,174.60 | Votes13,535 | ObservationsN/A | Result date |
| Arenatext | Categoryhard prompts english | Rank200 | Rating / score1,195.70 | Votes8,195 | ObservationsN/A | Result date |
| Arenatext | Categoryindustry legal and government | Rank200 | Rating / score1,206.30 | Votes2,882 | ObservationsN/A | Result date |
| Arenatext style control | Categorymath | Rank200 | Rating / score1,188.84 | Votes7,135 | ObservationsN/A | Result date |
| Arenatext | Categoryexpert | Rank201 | Rating / score1,144.06 | Votes2,589 | ObservationsN/A | Result date |
| Arenatext | Categoryindustry business and management and financial operations | Rank201 | Rating / score1,165.55 | Votes5,722 | ObservationsN/A | Result date |
| Arenatext | Categorymulti turn | Rank201 | Rating / score1,172.18 | Votes8,930 | ObservationsN/A | Result date |
| Arenatext style control | Categorychinese | Rank201 | Rating / score1,203.91 | Votes4,400 | ObservationsN/A | Result date |
| Arenatext style control | Categoryindustry mathematical | Rank201 | Rating / score1,193.25 | Votes5,985 | ObservationsN/A | Result date |
| Arenatext | Categoryindustry life and physical and social science | Rank202 | Rating / score1,193.27 | Votes8,403 | ObservationsN/A | Result date |
| Arenatext | Categoryinstruction following | Rank203 | Rating / score1,159.06 | Votes19,781 | ObservationsN/A | Result date |
| Arenatext style control | Categoryindustry medicine and healthcare | Rank203 | Rating / score1,229.94 | Votes2,564 | ObservationsN/A | Result date |
| Arenatext | Categoryexclude ties | Rank204 | Rating / score1,054.78 | Votes31,686 | ObservationsN/A | Result date |
Llama 3.1 8B Pricing
Official vendor API pricing appears first, followed by individual provider offers.
- Official API
- N/A
- Official provider
- N/A
- Lowest third-party
- From $0.02 input, $0.05 output per 1M via Helicone
- Tracked offerings
- 15
Sort by
Provider | Provider model ID | Region | Input / 1M | Output / 1M | Context | Updated |
|---|
| ProviderNvidia | Provider model IDmeta/llama-3.1-8b-instruct | Regionglobal | Input / 1MN/A | Output / 1MN/A | Context16K | Updated |
| ProviderHelicone | Provider model IDllama-3.1-8b-instruct | Regionglobal | Input / 1M$0.02 | Output / 1M$0.05 | Context16.4K | Updated |
| ProviderNovitaAI | Provider model IDmeta-llama/llama-3.1-8b-instruct | Regionglobal | Input / 1M$0.02 | Output / 1M$0.05 | Context16.4K | Updated |
| ProviderKilo Gateway | Provider model IDmeta-llama/llama-3.1-8b-instruct | Regionglobal | Input / 1M$0.02 | Output / 1M$0.04 | Context131.1K | Updated |
| ProviderAbacus | Provider model IDmeta-llama/Meta-Llama-3.1-8B-Instruct | Regionglobal | Input / 1M$0.02 | Output / 1M$0.05 | Context128K | Updated |
| ProviderInference | Provider model IDmeta/llama-3.1-8b-instruct | Regionglobal | Input / 1M$0.025 | Output / 1M$0.025 | Context16K | Updated |
| ProviderOpenRouter | Provider model IDmeta-llama/llama-3.1-8b-instruct | Regionglobal | Input / 1M$0.05 | Output / 1M$0.08 | Context131.1K | Updated |
| ProviderNanoGPT | Provider model IDmeta-llama/llama-3.1-8b-instruct | Regionglobal | Input / 1M$0.0544 | Output / 1M$0.085 | Context131.1K | Updated |
| ProviderHugging Face | Provider model IDmeta-llama/Llama-3.1-8B-Instruct | Regionglobal | Input / 1M$0.06 | Output / 1M$0.06 | Context131.1K | Updated |
| ProviderNeon | Provider model IDmeta-llama-3-1-8b-instruct | Regionglobal | Input / 1M$0.15 | Output / 1M$0.45 | Context131.1K | Updated |
| ProviderCortecs | Provider model IDllama-3.1-8b-instruct | Regionglobal | Input / 1M$0.167 | Output / 1M$0.167 | Context128K | Updated |
| ProviderPioneer | Provider model IDmeta-llama/Llama-3.1-8B-Instruct | Regionglobal | Input / 1M$0.20 | Output / 1M$0.20 | Context128K | Updated |
| ProviderAmazon Bedrock | Provider model IDmeta.llama3-1-8b-instruct-v1:0 | Regionglobal | Input / 1M$0.22 | Output / 1M$0.22 | Context128K | Updated |
| ProviderMerge Gateway | Provider model IDmeta/llama-3.1-8b-instruct | Regionglobal | Input / 1M$0.22 | Output / 1M$0.22 | Context128K | Updated |
| ProviderVercel AI Gateway | Provider model IDmeta/llama-3.1-8b | Regionglobal | Input / 1M$0.22 | Output / 1M$0.22 | Context128K | Updated |
Llama 3.1 8B Runtime Performance
Provider-specific output speed and catalog latency for Llama 3.1 8B Instruct. Runtime does not affect the capability score.
Sort by
Provider | Output Speed | Catalog Latency | Max Input | Max Output | Updated |
|---|
| ProviderCerebras | Output Speed2,047.00 tok/s | Catalog Latency0.20 s | Max Input131.1K | Max Output131.1K | Updated |
| ProviderGroq | Output Speed750.00 tok/s | Catalog Latency0.50 s | Max Input131.1K | Max Output131.1K | Updated |
| ProviderDeepInfra | Output Speed118.00 tok/s | Catalog Latency0.50 s | Max Input131.1K | Max Output131.1K | Updated |
Output Speed is generated output tokens received per second. Catalog latency is reported separately from observed provider TTFT.
Llama 3.1 8B Specifications
Technical details for the model's default version.
- Version
- Llama 3.1 8B Instruct
- Released
- Jul 23, 2024
- Knowledge cutoff
- Dec 31, 2023
- Parameters
- 8B
- Context window
- 131.1K
- Max output
- 131.1K
- Inputs
- text
- Outputs
- text
- Open weights
- Yes
- License
- Llama 3.1 Community License
Llama 3.1 8B 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 3.1 8B Instruct | Released | LLMBoard0.00 | Parameters8B | Context131.1K | Max output131.1K | Open weightsYes | LicenseLlama 3.1 Community License |
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What is Llama 3.1 8B?
Key information about Llama 3.1 8B and its available data.
1 8B Instruct is a multilingual large language model with a 128K context length, tool use, and reasoning capabilities.
Data as of 2026-09-08.
FAQ
Common questions about Llama 3.1 8B.
When was Llama 3.1 8B released?
Llama 3.1 8B's default version was released on Jul 23, 2024.
How much does Llama 3.1 8B cost?
No official standard PAYG price is currently available for Llama 3.1 8B. The lowest tracked third-party offer starts at $0.02 input and $0.05 output via Helicone.
Who created Llama 3.1 8B?
Llama 3.1 8B was created by Meta.
What is the context window for Llama 3.1 8B?
The default version has a 131.1K token context window.
Is Llama 3.1 8B open weight?
Yes. The default version is marked as open weight under Llama 3.1 Community License.
How many API providers offer Llama 3.1 8B?
15 provider offerings are linked to the default version.