Intelligence
N/A
44
General reasoning and benchmark headroom.
SituationalMeta: Llama 3.1 405B (base) is a mid-range text-first model from meta-llama with a heavy runtime profile, standard context posture, and the clearest fit around long-context research / reasoning.
Benchmark blend
Dev workflow signal
Standard
Mid-range tier
Meta: Llama 3.1 405B (base) currently reads as a mid-range text-first option with standard context and a heavy runtime profile.
Decision Strip
Core buy-side signals stay in one pass. The rest of the page expands only after intelligence, speed, context, and price are clear.
General reasoning and benchmark headroom.
SituationalLatency data is partial.
SituationalHow much prompt and task state can stay in view.
Situational$4.00 output / 1M
CompetitiveEditorial Profile
Positioning, tradeoffs, and fit are consolidated into one read instead of repeating the same story across separate cards.
Meta's latest class of model (Llama 3.1) launched with a variety of sizes & flavors. This is the base 405B pre-trained version. It has demonstrated strong performance compared to leading closed-source models in human evaluations. To read more about the model release, [click here](https://ai.meta.com/blog/meta-llama-3/). Usage of this model is subject to [Meta's Acceptable Use Policy](https://llama.meta.com/llama3/use-policy/).
meta-llama text-first profile
Long-context research / Reasoning with standard context and heavy runtime.
Balanced spend profile. Easier to justify in mixed production and exploration workloads.
The available source data suggests a balanced profile rather than one dominant edge.
Costs look manageable, but still deserve attention in always-on agents or batch jobs.
Latency profile is better for deliberate runs than rapid back-and-forth chat.
Current metadata points to a text-first profile rather than a broad multimodal one.
Context window is more comfortable for focused tasks than extremely long sessions.
Focused chat, retrieval-augmented flows, and narrower production tasks.
Benchmarks
Only benchmark categories with actual signal are shown. Secondary values stay as simple definitions instead of nested micro-cards.
Specs & Pricing
Specs stay neutral, pricing gets emphasis through values rather than extra containers. Raw provider internals remain in metadata at the end.
This model sits in a balanced spend range. It is easier to justify across both production and exploratory workflows.
Metadata
Verification details remain available, but the page no longer forces them ahead of the editorial read.