Meta model product
1 405B Instruct is a large language model optimized for multilingual dialogue use cases.
Updated Aug 17, 2026. Default version: Llama 3.1 405B Instruct
This profile uses the model's current scored version. Arena ratings and prices are shown separately.
Benchmark scores for Llama 3.1 405B Instruct.
Benchmark | Score | Rank | Participants | Percentile | Evidence | Evaluated |
|---|
| BenchmarkAPI-Bank | Score92.0% | Rank01 | Participants3 | Percentile100.0% | EvidenceC | Evaluated |
| BenchmarkBFCL | Score88.5% | Rank01 | Participants11 | Percentile100.0% | EvidenceC | Evaluated |
| BenchmarkGorilla Benchmark API Bench | Score35.3% | Rank01 | Participants3 | Percentile100.0% | EvidenceC | Evaluated |
| BenchmarkMBPP EvalPlus | Score88.6% | Rank01 | Participants2 | Percentile100.0% | EvidenceC | Evaluated |
| BenchmarkMMLU (CoT) | Score88.6% | Rank01 | Participants3 | Percentile100.0% | EvidenceC | Evaluated |
| BenchmarkMultilingual MGSM (CoT) | Score91.6% | Rank01 | Participants3 | Percentile100.0% | EvidenceC | Evaluated |
| BenchmarkMultipl-E HumanEval | Score75.2% | Rank01 | Participants3 | Percentile100.0% | EvidenceC | Evaluated |
| BenchmarkMultipl-E MBPP | Score65.7% | Rank01 | Participants3 | Percentile100.0% | EvidenceC | Evaluated |
| BenchmarkNexus | Score58.7% | Rank01 | Participants4 | Percentile100.0% | EvidenceC | Evaluated |
| BenchmarkARC-C | Score96.9% | Rank02 | Participants34 | Percentile97.0% | EvidenceC | Evaluated |
| BenchmarkGSM8k | Score96.8% | Rank05 | Participants48 | Percentile91.5% | EvidenceC | Evaluated |
| BenchmarkDROP | Score84.8% | Rank07 | Participants30 | Percentile79.3% | EvidenceC | Evaluated |
| BenchmarkHumanEval | Score89.0% | Rank17 | Participants66 | Percentile75.4% | EvidenceC | Evaluated |
| BenchmarkIFEval | Score88.6% | Rank25 | Participants67 | Percentile63.6% | EvidenceC | Evaluated |
| BenchmarkMMLU | Score87.3% | Rank26 | Participants101 | Percentile75.0% | EvidenceC | Evaluated |
| BenchmarkMATH | Score73.8% | Rank30 | Participants71 | Percentile58.6% | EvidenceC | Evaluated |
| BenchmarkMMLU-Pro | Score73.3% | Rank80 | Participants134 | Percentile40.6% | EvidenceC | Evaluated |
| BenchmarkGPQA | Score50.7% | Rank180 | Participants239 | Percentile24.8% | EvidenceC | Evaluated |
Preference and agent-evaluation results for the default version.
Arena | Category | Rank | Rating / score | Votes | Observations | Result date |
|---|
| Arenatext style control | Categoryoverall | Rank218 | Rating / score1335.0 | Votes41,375 | ObservationsN/A | Result date |
| Arenatext style control | Categoryoverall | Rank220 | Rating / score1333.2 | Votes59,656 | ObservationsN/A | Result date |
| Arenatext | Categoryoverall | Rank238 | Rating / score1283.8 | Votes41,375 | ObservationsN/A | Result date |
| Arenatext | Categoryoverall | Rank243 | Rating / score1281.9 | Votes59,656 | 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 |
|---|
| ProviderCortecs | Provider model IDllama-3.1-405b-instruct | Regionglobal | Input / 1M$1.95 | Output / 1M$1.95 | 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 405B Instruct. Runtime does not affect the capability score.
Provider | Output Speed | Catalog Latency | Max Input | Max Output | Updated |
|---|
| ProviderBedrock | Output Speed100 tok/s | Catalog Latency0.5 s | Max Input128K | Max Output128K | Updated |
| ProviderFireworks | Output Speed78 tok/s | Catalog Latency0.5 s | Max Input128K | Max Output128K | Updated |
| ProviderLambda | Output Speed42 tok/s | Catalog Latency0.5 s | Max Input128K | Max Output128K | Updated |
| ProviderGoogle | Output Speed42 tok/s | Catalog Latency0.4 s | Max Input128K | Max Output128K | Updated |
| ProviderHyperbolic | Output Speed40 tok/s | Catalog Latency0.5 s | Max Input128K | Max Output128K | Updated |
| ProviderTogether | Output Speed35 tok/s | Catalog Latency0.5 s | Max Input128K | Max Output128K | Updated |
| ProviderDeepInfra | Output Speed27 tok/s | Catalog Latency0.5 s | Max Input128K | Max Output128K | Updated |
| ProviderReplicate | Output Speed22 tok/s | Catalog Latency0.5 s | Max Input128K | Max Output128K | 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 405B Instruct | Released | LLMBoard23.9 | Parameters405B | Context128K | Max output128K | Open weightsNo | LicenseLlama 3.1 Community License |
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Key information about Llama 3.1 405B and its available data.
1 405B Instruct is a large language model optimized for multilingual dialogue use cases. It outperforms many available open source and closed chat models on common industry benchmarks. The model supports 8 languages and has a 128K token context length.
Data as of 2026-08-17.
Common questions about Llama 3.1 405B.
Llama 3.1 405B's default version was released on Jul 23, 2024.
No official standard PAYG price is currently available for Llama 3.1 405B. The lowest tracked third-party offer starts at $1.95 input and $1.95 output via Cortecs.
Llama 3.1 405B was created by Meta.
The default version has a 128K token context window.
No. The default version is not marked as having publicly available weights.
1 provider offerings are linked to the default version.
Nearby ranked alternatives include QwQ 32B, GPT-4.1-mini, Qwen3 VL 8B.