Gemini 3.1 Pro vs Llama 3.1 405B
At a Glance
| Compare |  Gemini 3.1 ProGoogle DeepMind |  Llama 3.1 405BMeta |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | #9 of 4679.7 score · 3/3 sources · complete | UnrankedNot in the 46-model eligible cohort |
| CostLower is better · Published-token output estimate | #27 of 44$0.161 per LiveBench case | UnrankedNot in the 44-model eligible cohort |
| EfficiencyHigher is better · MM Efficiency v1.5 | #9 of 3859.2 score · 3/3 sources · complete | UnrankedNot in the 38-model eligible cohort |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $2.00Google AI ↗ · Aug 29, 2026 | Not reported |
| Output priceFrom · USD / 1M tokens | $12.00Google AI ↗ · Aug 29, 2026 | Not reported |
| Context windowMaximum documented tokens | 1,049K | 131K |
| Model facts checked | Aug 29, 2026View model evidence → | Aug 28, 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 | Gemini 3.1 Pro | Llama-3.1-405B |
|---|---|---|
| Developer | Google DeepMind | Meta |
| Family | Gemini 3 | Llama 3 1 405b |
| Model | Gemini 3.1 Pro | Llama-3.1-405B |
| Version | Gemini 3.1 Pro | Llama-3.1-405B |
| Lifecycle | preview | active |
| Released | Unknown | 2024-07-23 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image, Video, Audio, Document | Text |
| Output modalities | Text | Text |
| Context window | 1,049K | 131K |
| Total parameters | Unknown | 405.9B |
| Active parameters | Unknown | Unknown |
| License | Unknown | llama3.1 |
| Open weights | No | Yes |
| API available | Yes | Yes |
| Self-hostable | No | Yes |
| Provider access | Google AI (Standard), Google Gemini (Standard) | Together Ai (Standard) |
| Capabilities | chat, generation, reasoning, tools | generation |
Gemini 3.1 Pro Capabilities
Llama 3.1 405B Capabilities
Related Comparisons
All text comparisons →| A | Pair | B | Context |
|---|---|---|---|
Gemini 2.5 ProGoogle DeepMind | vs | Gemini 3.1 ProGoogle DeepMind | family variantstext |
Gemini 3.1 ProGoogle DeepMind | vs |  GPT-6 AstraOpenAI | cross-developer peerstext |
Claude Fable 5.1Anthropic | vs | Gemini 3.1 ProGoogle DeepMind | cross-developer peerstext |
 DeepSeek-V4.1-FlashDeepSeek | vs | Gemini 3.1 ProGoogle DeepMind | cross-developer peerstext |
Gemini 3.1 ProGoogle DeepMind | vs | Grok 4.6xAI | cross-developer peerstext |
Gemini 3.1 ProGoogle DeepMind | vs |  Qwen3.8-MaxQwen | cross-developer peerstext |
Gemini 3.1 ProGoogle DeepMind | vs |  Kimi-K3Moonshot AI | cross-developer peerstext |
 MiniMax-M3MiniMax | vs | Gemini 3.1 ProGoogle DeepMind | cross-developer peerstext |
Gemini 3.1 ProGoogle DeepMind | vs |  GLM-5.3Z.ai | cross-developer peerstext |
Gemini 3.1 ProGoogle DeepMind | vs |  Hy4 previewTencent | cross-developer peerstext |
Seed 2.1 ProByteDance Seed | vs | Gemini 3.1 ProGoogle DeepMind | cross-developer peerstext |
Gemini 3.1 ProGoogle DeepMind | vs |  Mistral Large 3Mistral AI | cross-developer peerstext |
Primary Evidence
Sources and Freshness
Questions
Gemini 3.1 Pro vs Llama 3.1 405B FAQs
Is Gemini 3.1 Pro or Llama 3.1 405B better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Gemini 3.1 Pro and Llama 3.1 405B, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Gemini 3.1 Pro or Llama 3.1 405B?+
Only Gemini 3.1 Pro has a directly sourced input price: $2.00 per million tokens. Only Gemini 3.1 Pro has a directly sourced output price: $12.00 per million tokens.
Which has a larger context window, Gemini 3.1 Pro or Llama 3.1 405B?+
Gemini 3.1 Pro has the larger sourced context window. Gemini 3.1 Pro supports 1,049K and Llama 3.1 405B supports 131K.
Which performs better in benchmarks, Gemini 3.1 Pro or Llama 3.1 405B?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Gemini 3.1 Pro or Llama 3.1 405B be self-hosted?+
Llama 3.1 405B is the only model in this pair currently marked as self-hostable. Gemini 3.1 Pro is not marked open weight; Llama 3.1 405B is open weight.
Can Gemini 3.1 Pro and Llama 3.1 405B understand images?+
Gemini 3.1 Pro is documented with image input; Llama 3.1 405B is not documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Gemini 3.1 Pro or Llama 3.1 405B?+
Neither has a larger sourced maximum output. Gemini 3.1 Pro is 66K and Llama 3.1 405B is —.
Do Gemini 3.1 Pro and Llama 3.1 405B support reasoning and tool use?+
Gemini 3.1 Pro: reasoning, tool calling, and image input. Llama 3.1 405B: none of these features are definitively sourced. Feature support does not establish relative quality.
Which is available from more inference providers, Gemini 3.1 Pro or Llama 3.1 405B?+
Gemini 3.1 Pro has 2 sourced provider routes; Llama 3.1 405B has 1, so Gemini 3.1 Pro has broader tracked availability.
Which offers better value, Gemini 3.1 Pro or Llama 3.1 405B?+
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.