Llama 3.1 405B Instruct vs Together LFM2-24B
Llama 3.1 405B Instruct (2024) and Together LFM2-24B (2025) are compact production models from AI at Meta and Liquid AI. Llama 3.1 405B Instruct ships a 128K-token context window, while Together LFM2-24B ships a 8k-token context window. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit. It focuses on practical selection signals rather than broad model-family marketing.
Llama 3.1 405B Instruct fits 16x more tokens; pick it for long-context work and Together LFM2-24B for tighter calls.
Decision scorecard
Local evidence first| Signal | Llama 3.1 405B Instruct | Together LFM2-24B |
|---|---|---|
| Decision fit | RAG, Long context, and Classification | General |
| Context window | 128K | 8k |
| Cheapest output | $2.4/1M tokens | - |
| Provider routes | 11 tracked | 0 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- Llama 3.1 405B Instruct has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Llama 3.1 405B Instruct has broader tracked provider coverage for fallback and procurement flexibility.
- Llama 3.1 405B Instruct uniquely exposes Structured outputs in local model data.
- Local decision data tags Llama 3.1 405B Instruct for RAG, Long context, and Classification.
- Use Together LFM2-24B when your own prompt tests beat the comparison signals; the local data does not show a decisive standalone advantage yet.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output prices on this page.
Llama 3.1 405B Instruct
$2,520
Cheapest tracked route: AWS Bedrock
Together LFM2-24B
Unavailable
No complete token price in local provider data
Cost delta unavailable until both models have sourced input and output token prices.
Switch friction
- No overlapping tracked provider route is sourced for Llama 3.1 405B Instruct and Together LFM2-24B; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Structured outputs before moving production traffic.
- No overlapping tracked provider route is sourced for Together LFM2-24B and Llama 3.1 405B Instruct; plan for SDK, billing, or endpoint changes.
- Llama 3.1 405B Instruct adds Structured outputs in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2024-07-23 | 2025-12-01 |
| Context window | 128K | 8k |
| Parameters | 405B | 23.8B |
| Architecture | decoder only | - |
| License | Open Source | Open Source |
| Knowledge cutoff | - | - |
Pricing and availability
| Pricing attribute | Llama 3.1 405B Instruct | Together LFM2-24B |
|---|---|---|
| Input price | $2.4/1M tokens | - |
| Output price | $2.4/1M tokens | - |
| Providers | - |
Capabilities
| Capability | Llama 3.1 405B Instruct | Together LFM2-24B |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | No | No |
| Function calling | No | No |
| Tool use | No | No |
| Structured outputs | Yes | No |
| Code execution | No | No |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on structured outputs: Llama 3.1 405B Instruct. Both models share the core language-model surface, so the practical split is not just feature count. Use those differences to decide whether the page is about raw model quality, agentic coding support, multimodal ingestion, or predictable structured API behavior.
Pricing coverage is uneven: Llama 3.1 405B Instruct has $2.4/1M input tokens and Together LFM2-24B has no token price sourced yet. Provider availability is 11 tracked routes versus 0. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.
Choose Llama 3.1 405B Instruct when long-context analysis, larger context windows, and broader provider choice are central to the workload. Choose Together LFM2-24B when provider fit are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship. This keeps the decision grounded in measurable tradeoffs instead of brand-level assumptions. It also helps separate model capability from provider packaging, which can change cost and latency. For teams standardizing a stack, that distinction is often the difference between a benchmark win and a reliable deployment.
FAQ
Which has a larger context window, Llama 3.1 405B Instruct or Together LFM2-24B?
Llama 3.1 405B Instruct supports 128K tokens, while Together LFM2-24B supports 8k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Is Llama 3.1 405B Instruct or Together LFM2-24B open source?
Llama 3.1 405B Instruct is listed under Open Source. Together LFM2-24B is listed under Open Source. License labels affect whether you can self-host, redistribute weights, or rely only on hosted APIs, so confirm the upstream license before deployment.
Which is better for structured outputs, Llama 3.1 405B Instruct or Together LFM2-24B?
Llama 3.1 405B Instruct has the clearer documented structured outputs signal in this comparison. If structured outputs is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Where can I run Llama 3.1 405B Instruct and Together LFM2-24B?
Llama 3.1 405B Instruct is available on OctoAI API (Deprecated), Together AI, Fireworks AI, IBM watsonx, and Scale AI GenAI Platform. Together LFM2-24B is available on the tracked providers still being sourced. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
When should I pick Llama 3.1 405B Instruct over Together LFM2-24B?
Llama 3.1 405B Instruct fits 16x more tokens; pick it for long-context work and Together LFM2-24B for tighter calls. If your workload also depends on long-context analysis, start with Llama 3.1 405B Instruct; if it depends on provider fit, run the same evaluation with Together LFM2-24B.
Continue comparing
Last reviewed: 2026-05-16. Data sourced from public model cards and provider documentation.