Meta model product
1 8B Instruct is a multilingual large language model optimized for dialogue use cases.
Updated Aug 17, 2026. Default version: Llama 3.1 8B Instruct
This profile uses the model's current scored version. Arena ratings and prices are shown separately.
Benchmark scores for Llama 3.1 8B Instruct.
Benchmark | Score | Rank | Participants | Percentile | Evidence | Evaluated |
|---|
| BenchmarkMBPP EvalPlus (base) | Score72.8% | Rank01 | Participants1 | Percentile100.0% | EvidenceC | Evaluated |
| BenchmarkGSM-8K (CoT) | Score84.5% | Rank02 | Participants2 | Percentile0.0% | EvidenceC | Evaluated |
| BenchmarkAPI-Bank | Score82.6% | Rank03 | Participants3 | Percentile0.0% | EvidenceC | Evaluated |
| BenchmarkBFCL | Score76.1% | Rank03 | Participants11 | Percentile80.0% | EvidenceC | Evaluated |
| BenchmarkGorilla Benchmark API Bench | Score8.2% | Rank03 | Participants3 | Percentile0.0% | EvidenceC | Evaluated |
| BenchmarkMMLU (CoT) | Score73.0% | Rank03 | Participants3 | Percentile0.0% | EvidenceC | Evaluated |
| BenchmarkMultilingual MGSM (CoT) | Score68.9% | Rank03 | Participants3 | Percentile0.0% | EvidenceC | Evaluated |
| BenchmarkMultipl-E HumanEval | Score50.8% | Rank03 | Participants3 | Percentile0.0% | EvidenceC | Evaluated |
| BenchmarkMultipl-E MBPP | Score52.4% | Rank03 | Participants3 | Percentile0.0% | EvidenceC | Evaluated |
| BenchmarkNexus | Score38.5% | Rank03 | Participants4 | Percentile33.3% | EvidenceC | Evaluated |
| BenchmarkMATH (CoT) | Score51.9% | Rank06 | Participants6 | Percentile0.0% | EvidenceC | Evaluated |
| BenchmarkARC-C | Score83.4% | Rank16 | Participants34 | Percentile54.5% | EvidenceC | Evaluated |
| BenchmarkDROP | Score59.5% | Rank24 | Participants30 | Percentile20.7% | EvidenceC | Evaluated |
| BenchmarkIFEval | Score80.4% | Rank53 | Participants67 | Percentile21.2% | EvidenceC | Evaluated |
| BenchmarkHumanEval | Score72.6% | Rank54 | Participants66 | Percentile18.5% | EvidenceC | Evaluated |
| BenchmarkMMLU | Score69.4% | Rank85 | Participants101 | Percentile16.0% | EvidenceC | Evaluated |
| BenchmarkMMLU-Pro | Score48.3% | Rank120 | Participants134 | Percentile10.5% | EvidenceC | Evaluated |
| BenchmarkGPQA | Score30.4% | Rank229 | Participants239 | Percentile4.2% | EvidenceC | Evaluated |
Preference and agent-evaluation results for the default version.
Arena | Category | Rank | Rating / score | Votes | Observations | Result date |
|---|
| Arenatext | Categoryoverall | Rank300 | Rating / score1186.7 | Votes49,605 | ObservationsN/A | Result date |
| Arenatext style control | Categoryoverall | Rank316 | Rating / score1211.3 | Votes49,605 | ObservationsN/A | Result date |
Official vendor API pricing appears first, followed by individual provider offers.
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 | Context131.1K | 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 |
Official prices use only the vendor's configured official Provider and positive standard USD PAYG rates. Third-party offers remain explicitly labeled.
Provider-specific output speed and catalog latency for Llama 3.1 8B Instruct. Runtime does not affect the capability score.
Provider | Output Speed | Catalog Latency | Max Input | Max Output | Updated |
|---|
| ProviderCerebras | Output Speed2,047 tok/s | Catalog Latency0.2 s | Max Input131.1K | Max Output131.1K | Updated |
| ProviderSambanova | Output Speed1,050 tok/s | Catalog Latency0.5 s | Max Input131.1K | Max Output131.1K | Updated |
| ProviderGroq | Output Speed750 tok/s | Catalog Latency0.5 s | Max Input131.1K | Max Output131.1K | Updated |
| ProviderFireworks | Output Speed292 tok/s | Catalog Latency0.5 s | Max Input131.1K | Max Output131.1K | Updated |
| ProviderHyperbolic | Output Speed200 tok/s | Catalog Latency0.5 s | Max Input131.1K | Max Output131.1K | Updated |
| ProviderTogether | Output Speed194 tok/s | Catalog Latency0.5 s | Max Input131.1K | Max Output131.1K | Updated |
| ProviderDeepInfra | Output Speed118 tok/s | Catalog Latency0.5 s | Max Input131.1K | Max Output131.1K | Updated |
| ProviderBedrock | Output Speed100 tok/s | Catalog Latency0.5 s | Max Input131.1K | Max Output131.1K | Updated |
| ProviderLambda | Output Speed42 tok/s | Catalog Latency0.5 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.
Technical details for the model's default version.
Available versions of this model. The score column identifies the version used in the overall ranking.
Version | Released | LLMBoard | Parameters | Context | Max output | Open weights | License |
|---|
| VersionLlama 3.1 8B Instruct | Released | LLMBoard0.0 | Parameters8B | Context128K | Max output4.1K | Open weightsYes | LicenseLlama 3.1 Community License |
Open a comparison with the three ranked models immediately above and below this model.
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Key information about Llama 3.1 8B and its available data.
1 8B Instruct is a multilingual large language model optimized for dialogue use cases. It features a 128K context length, state-of-the-art tool use, and strong reasoning capabilities.
Data as of 2026-08-17.
Common questions about Llama 3.1 8B.
Llama 3.1 8B's default version was released on Jul 23, 2024.
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.
Llama 3.1 8B was created by Meta.
The default version has a 128K token context window.
Yes. The default version is marked as open weight under Llama 3.1 Community License.
15 provider offerings are linked to the default version.
Nearby ranked alternatives include Command R+, Gemma 3 1B, Gemini 1.0 Pro.