DeepSeek V3.2 vs Llama 3.1 405B Instruct
At a Glance
| Compare |  DeepSeek V3.2DeepSeek | |
|---|---|---|
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.26Deepinfra ↗ · Oct 19, 2026 | Not reported |
| Output priceFrom · USD / 1M tokens | $0.38Deepinfra ↗ · Oct 19, 2026 | Not reported |
| Context windowMaximum documented tokens | 164K | 131K |
| Model facts checked | Aug 28, 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 | DeepSeek-V3.2 | Llama-3.1-405B-Instruct |
|---|---|---|
| Developer | DeepSeek | Meta |
| Family | Deepseek V3 2 | Llama 3 1 405b Instruct |
| Model | DeepSeek-V3.2 | Llama-3.1-405B-Instruct |
| Version | DeepSeek-V3.2 | Llama-3.1-405B-Instruct |
| Lifecycle | active | active |
| Released | 2025-12-01 | 2024-07-23 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text |
| Output modalities | Text | Text |
| Context window | 164K | 131K |
| Total parameters | 685.4B | 405.9B |
| Active parameters | Unknown | Unknown |
| License | mit | llama3.1 |
| Open weights | Yes | Yes |
| API available | Yes | Yes |
| Self-hostable | Yes | Yes |
| Provider access | Deepinfra (Standard), Hugging Face (Standard), Openrouter (Standard) | Together Ai (Standard) |
| Capabilities | chat, generation, reasoning | chat, generation, tools |
DeepSeek V3.2 Capabilities
Llama 3.1 405B Instruct Capabilities
Related Comparisons
All text comparisons →| A | Pair | B | Context |
|---|---|---|---|
DeepSeek-V3.2DeepSeek | vs |  Phi-4-reasoningMicrosoft | cross-developer peerstext |
DeepSeek-V3.2DeepSeek | vs | DeepSeek-V4-ProDeepSeek | family variantstext |
DeepSeek-V3.2DeepSeek | vs | DeepSeek-V4-Pro-BaseDeepSeek | family variantstext |
DeepSeek-R1DeepSeek | vs | DeepSeek-V3.2DeepSeek | family variantstext |
DeepSeek-V3DeepSeek | vs | DeepSeek-V3.2DeepSeek | family variantstext |
DeepSeek-V3.2DeepSeek | vs |  Llama-3.1-405BMeta | cross-developer peerstext |
DeepSeek-V3.2DeepSeek | vs | Llama-3.1-70BMeta | cross-developer peerstext |
DeepSeek-V3.2DeepSeek | vs |  Kimi-K2-ThinkingMoonshot AI | cross-developer peerstext |
DeepSeek-V3.2DeepSeek | vs |  GLM-5Z.ai | cross-developer peerstext |
DeepSeek-V3.2DeepSeek | vs | GLM-5.1Z.ai | cross-developer peerstext |
DeepSeek-V3.2DeepSeek | vs | GLM-5.2Z.ai | cross-developer peerstext |
Primary Evidence
Sources and Freshness
Questions
DeepSeek V3.2 vs Llama 3.1 405B Instruct FAQs
Is DeepSeek V3.2 or Llama 3.1 405B Instruct better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both DeepSeek V3.2 and Llama 3.1 405B Instruct, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, DeepSeek V3.2 or Llama 3.1 405B Instruct?+
Only DeepSeek V3.2 has a directly sourced input price: $0.26 per million tokens. Only DeepSeek V3.2 has a directly sourced output price: $0.38 per million tokens.
Which has a larger context window, DeepSeek V3.2 or Llama 3.1 405B Instruct?+
DeepSeek V3.2 has the larger sourced context window. DeepSeek V3.2 supports 163,840 tokens and Llama 3.1 405B Instruct supports 131,072 tokens.
Which performs better in benchmarks, DeepSeek V3.2 or Llama 3.1 405B Instruct?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can DeepSeek V3.2 or Llama 3.1 405B Instruct be self-hosted?+
Both models have the same sourced self-hosting status: supported. DeepSeek V3.2 is open weight; Llama 3.1 405B Instruct is open weight.
Can DeepSeek V3.2 and Llama 3.1 405B Instruct understand images?+
DeepSeek V3.2 is not documented with image input; Llama 3.1 405B Instruct is not documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, DeepSeek V3.2 or Llama 3.1 405B Instruct?+
Neither model has a sourced maximum output in this comparison, so a larger limit cannot be determined.
Do DeepSeek V3.2 and Llama 3.1 405B Instruct support reasoning and tool use?+
DeepSeek V3.2: reasoning. Llama 3.1 405B Instruct: tool calling. Feature support does not establish relative quality.
Which is available from more inference providers, DeepSeek V3.2 or Llama 3.1 405B Instruct?+
DeepSeek V3.2 has 3 sourced provider routes; Llama 3.1 405B Instruct has 1, so DeepSeek V3.2 has broader tracked availability.
Which offers better value, DeepSeek V3.2 or Llama 3.1 405B Instruct?+
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.