LFM2-24B-A2B vs Together AI Qwen2-72B-Instruct
LFM2-24B-A2B (2025) and Together AI Qwen2-72B-Instruct (2024) are compact production models from Liquid AI and Alibaba. LFM2-24B-A2B ships a 32K-token context window, while Together AI Qwen2-72B-Instruct ships a 33K-token context window. On pricing, LFM2-24B-A2B costs $0.03/1M input tokens versus $0.7/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit. It focuses on practical selection signals rather than broad model-family marketing.
LFM2-24B-A2B is ~2233% cheaper at $0.03/1M; pay for Together AI Qwen2-72B-Instruct only for long-context analysis.
Decision scorecard
Local evidence first| Signal | LFM2-24B-A2B | Together AI Qwen2-72B-Instruct |
|---|---|---|
| Decision fit | Agents, Classification, and JSON / Tool use | Classification and JSON / Tool use |
| Context window | 32K | 33K |
| Cheapest output | $0.12/1M tokens | $0.7/1M tokens |
| Provider routes | 1 tracked | 1 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- LFM2-24B-A2B has the lower cheapest tracked output price at $0.12/1M tokens.
- LFM2-24B-A2B uniquely exposes Function calling and Tool use in local model data.
- Local decision data tags LFM2-24B-A2B for Agents, Classification, and JSON / Tool use.
- Together AI Qwen2-72B-Instruct has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Local decision data tags Together AI Qwen2-72B-Instruct for Classification and JSON / Tool use.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output prices on this page.
LFM2-24B-A2B
$54.00
Cheapest tracked route: OpenRouter
Together AI Qwen2-72B-Instruct
$735
Cheapest tracked route: Together AI
Estimated monthly gap: $681. Batch, cache, and negotiated pricing are excluded from this local estimate.
Switch friction
- No overlapping tracked provider route is sourced for LFM2-24B-A2B and Together AI Qwen2-72B-Instruct; plan for SDK, billing, or endpoint changes.
- Together AI Qwen2-72B-Instruct is $0.58/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Check replacement coverage for Function calling and Tool use before moving production traffic.
- No overlapping tracked provider route is sourced for Together AI Qwen2-72B-Instruct and LFM2-24B-A2B; plan for SDK, billing, or endpoint changes.
- LFM2-24B-A2B is $0.58/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- LFM2-24B-A2B adds Function calling and Tool use in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-11-01 | 2024-06-07 |
| Context window | 32K | 33K |
| Parameters | 24B | 72B |
| Architecture | moe | decoder only |
| License | Proprietary | Open Source |
| Knowledge cutoff | - | - |
Pricing and availability
| Pricing attribute | LFM2-24B-A2B | Together AI Qwen2-72B-Instruct |
|---|---|---|
| Input price | $0.03/1M tokens | $0.7/1M tokens |
| Output price | $0.12/1M tokens | $0.7/1M tokens |
| Providers |
Capabilities
| Capability | LFM2-24B-A2B | Together AI Qwen2-72B-Instruct |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | No | No |
| Function calling | Yes | No |
| Tool use | Yes | No |
| Structured outputs | Yes | Yes |
| Code execution | No | No |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on function calling: LFM2-24B-A2B and tool use: LFM2-24B-A2B. Both models share structured outputs, 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.
For cost, LFM2-24B-A2B lists $0.03/1M input and $0.12/1M output tokens, while Together AI Qwen2-72B-Instruct lists $0.7/1M input and $0.7/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts LFM2-24B-A2B lower by about $0.64 per million blended tokens. Availability is 1 providers versus 1, so concentration risk also matters.
Choose LFM2-24B-A2B when provider fit and lower input-token cost are central to the workload. Choose Together AI Qwen2-72B-Instruct when long-context analysis and larger context windows 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, LFM2-24B-A2B or Together AI Qwen2-72B-Instruct?
Together AI Qwen2-72B-Instruct supports 33K tokens, while LFM2-24B-A2B supports 32K tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Which is cheaper, LFM2-24B-A2B or Together AI Qwen2-72B-Instruct?
LFM2-24B-A2B is cheaper on tracked token pricing. LFM2-24B-A2B costs $0.03/1M input and $0.12/1M output tokens. Together AI Qwen2-72B-Instruct costs $0.7/1M input and $0.7/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is LFM2-24B-A2B or Together AI Qwen2-72B-Instruct open source?
LFM2-24B-A2B is listed under Proprietary. Together AI Qwen2-72B-Instruct 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 function calling, LFM2-24B-A2B or Together AI Qwen2-72B-Instruct?
LFM2-24B-A2B has the clearer documented function calling signal in this comparison. If function calling is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Which is better for tool use, LFM2-24B-A2B or Together AI Qwen2-72B-Instruct?
LFM2-24B-A2B has the clearer documented tool use signal in this comparison. If tool use is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Where can I run LFM2-24B-A2B and Together AI Qwen2-72B-Instruct?
LFM2-24B-A2B is available on OpenRouter. Together AI Qwen2-72B-Instruct is available on Together AI. Provider coverage can affect latency, region availability, compliance posture, and fallback options. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
Continue comparing
Last reviewed: 2026-05-11. Data sourced from public model cards and provider documentation.