Llama 3.1 405B vs Grok 4.20 Multi Agent
At a Glance
| Compare |  Llama 3.1 405BMeta | |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | UnrankedNot in the 46-model eligible cohort | #22 of 4663.4 score · 2/3 sources · provisional · missing LiveBench · full-core range 42.3–75.6 |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | Not reported | $1.25Xai ↗ · Sep 3, 2026 |
| Output priceFrom · USD / 1M tokens | Not reported | $2.50Xai ↗ · Sep 3, 2026 |
| Context windowMaximum documented tokens | 131K | 1,000K |
| Model facts checked | Aug 28, 2026View model evidence → | Aug 29, 2026View model evidence → |
Token prices are the lowest available sourced USD rates; input and output may use different providers. Cost ranking estimates output spend on LiveBench, not a full request bill. Ranking methodology →
Available Benchmarks
Side-by-Side Facts
| Field | Llama-3.1-405B | Grok 4.20 Multi-Agent |
|---|---|---|
| Developer | Meta | xAI |
| Family | Llama 3 1 405b | Grok 4 20 |
| Model | Llama-3.1-405B | Grok 4.20 Multi-Agent |
| Version | Llama-3.1-405B | Grok 4.20 Multi-Agent |
| Lifecycle | active | preview |
| Released | 2024-07-23 | Unknown |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text, Image |
| Output modalities | Text | Text |
| Context window | 131K | 1,000K |
| Total parameters | 405.9B | Unknown |
| Active parameters | Unknown | Unknown |
| License | llama3.1 | Unknown |
| Open weights | Yes | No |
| API available | Yes | Yes |
| Self-hostable | Yes | No |
| Provider access | Together Ai (Standard) | Xai (Standard) |
| Capabilities | generation | generation, reasoning, research, tools |
Llama 3.1 405B Capabilities
Grok 4.20 Multi Agent Capabilities
Related Comparisons
All text comparisons →| A | Pair | B | Context |
|---|---|---|---|
Llama-3.1-405BMeta | vs |  GPT-6 AstraOpenAI | cross-developer peerstext |
Claude Fable 5.1Anthropic | vs | Llama-3.1-405BMeta | cross-developer peerstext |
 Gemini 3.1 ProGoogle DeepMind | vs | Llama-3.1-405BMeta | cross-developer peerstext |
 DeepSeek-V4.1-FlashDeepSeek | vs | Llama-3.1-405BMeta | cross-developer peerstext |
Llama-3.1-405BMeta | vs | Grok 4.6xAI | cross-developer peerstext |
Llama-3.1-405BMeta | vs |  Qwen3.8-MaxQwen | cross-developer peerstext |
Llama-3.1-405BMeta | vs |  Kimi-K3Moonshot AI | cross-developer peerstext |
 MiniMax-M3MiniMax | vs | Llama-3.1-405BMeta | cross-developer peerstext |
Llama-3.1-405BMeta | vs |  GLM-5.3Z.ai | cross-developer peerstext |
Llama-3.1-405BMeta | vs |  Hy4 previewTencent | cross-developer peerstext |
Seed 2.1 ProByteDance Seed | vs | Llama-3.1-405BMeta | cross-developer peerstext |
Llama-3.1-405BMeta | vs |  Mistral Large 3Mistral AI | cross-developer peerstext |
Primary Evidence
Sources and Freshness
Questions
Llama 3.1 405B vs Grok 4.20 Multi Agent FAQs
Is Llama 3.1 405B or Grok 4.20 Multi Agent better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Llama 3.1 405B and Grok 4.20 Multi Agent, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Llama 3.1 405B or Grok 4.20 Multi Agent?+
Only Grok 4.20 Multi Agent has a directly sourced input price: $1.25 per million tokens. Only Grok 4.20 Multi Agent has a directly sourced output price: $2.50 per million tokens.
Which has a larger context window, Llama 3.1 405B or Grok 4.20 Multi Agent?+
Grok 4.20 Multi Agent has the larger sourced context window. Llama 3.1 405B supports 131K and Grok 4.20 Multi Agent supports 1,000K.
Which performs better in benchmarks, Llama 3.1 405B or Grok 4.20 Multi Agent?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Llama 3.1 405B or Grok 4.20 Multi Agent be self-hosted?+
Llama 3.1 405B is the only model in this pair currently marked as self-hostable. Llama 3.1 405B is open weight; Grok 4.20 Multi Agent is not marked open weight.
Can Llama 3.1 405B and Grok 4.20 Multi Agent understand images?+
Llama 3.1 405B is not documented with image input; Grok 4.20 Multi Agent is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Llama 3.1 405B or Grok 4.20 Multi Agent?+
Neither has a larger sourced maximum output. Llama 3.1 405B is — and Grok 4.20 Multi Agent is —.
Do Llama 3.1 405B and Grok 4.20 Multi Agent support reasoning and tool use?+
Llama 3.1 405B: none of these features are definitively sourced. Grok 4.20 Multi Agent: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Llama 3.1 405B or Grok 4.20 Multi Agent?+
Llama 3.1 405B has 1 sourced provider route; Grok 4.20 Multi Agent has 1, a tie.
Which offers better value, Llama 3.1 405B or Grok 4.20 Multi Agent?+
There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.