LLM Comparison
LFM2-24B-A2B vs North Mini Code
Side-by-side specs, pricing & capabilities
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2/6 models| Organization | ||
| OpenTools Score | ||
| Family | LFM2-24B-A2B | North |
| Status | Current | Current |
| Release Date | Feb 2026 | Jun 2026 |
| Context Window | 33K tokens | 262K tokens |
| Input Price | $0.03/M tokens | Free |
| Output Price | $0.12/M tokens | Free |
| Pricing Notes | — | Cohere's official model documentation states North Mini Code is free for trial and production API keys until rate limits are reached; Model Vault production deployment is also supported. |
| Capabilities | textcode | reasoningagentic-codingtool-usestructured-outputmultilinguallocal-deployment |
| Max Output | — | 66K tokens |
| API Identifier | liquid/lfm-2-24b-a2b | north-mini-code-1-0 |
| Benchmarks | ||
| GPQA Diamond | 47.4%artificial-analysis | 75.7%artificial-analysis |
| SciCode | — | 38.8%artificial-analysis |
| Terminal-Bench 2.1 | — | 35.6%artificial-analysis |
| View LFM2-24B-A2B | View North Mini Code | |
Cost Calculator
Enter your expected monthly token usage to compare costs.
| Model | Input | Output | Total / mo | vs Best |
|---|---|---|---|---|
| North Mini CodeCheapest | $0.00 | $0.00 | $0.00 | — |
| LFM2-24B-A2B | $0.03 | $0.06 | $0.09 | +0% |
Compare hosting configurations
Compare two exact setups, including different configurations of the same model. Hardware fit, measured speed and costs are separate decisions.
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Use hours for the same scenario period. Cloud billing includes idle time; active hours alone do not set the bill. Local electricity uses whole-system attributable power, powered hours and your tariff. Missing inputs remain unknown.
Measured speed needs the same pinned workload protocol, tokenizer, context, batching and cache state.
| Configuration | Run LFM2-24B-A2B on an Intel i5-12400 desktop | Run complete native North Mini Code with retained reasoning and inert tools on a CPU workstation |
|---|---|---|
| Model | LFM2-24B-A2B | North Mini Code |
| Hardware | Intel Core i5-12400 desktop, 4 inference threads, 32 GiB RAM | Intel Xeon w5-2465X / ASUS W790E-SAGE SE,256GiB RAM,400GiB free disk |
| Runtime | llama.cpp v0.7.0 (620d2225cc436ab0b001e3200e590e3b286ef9ab) · CPU | Complete native North Mini Code CPU with Command4 parsing Transformers 5.11.0; Torch 2.11.0 CPU; Cohere Melody 0.15.2; Python 3.12 · CPU |
| Artifact | LFM2-24B-A2B Q4_K_M · GGUF Q4_K_M mixed quantization · Q4_K_M post-training quantization | North Mini Code 1.0 complete native 49-part Cohere2Moe checkpoint · Full native BF16 checkpoint loaded as CPU FP32; all 128 experts retained, not active-parameter storage · Unquantized native BF16 weights; reader explicitly loads the complete model as CPU FP32 |
| Context / concurrency | 4,096 tokens / 1 | 4,096 tokens / 1 |
| Required memory | Unknown (unknown) | Unknown (unknown) |
| Evidence | Documented setup | Documented setup |
| Hardware fit | Hardware fit unknown No exact full-process peak-memory evidence for this Q4_K_M configuration. Enter available memory per device or unified memory pool. Host RAM: 32 GiB is chosen installed host capacity, not a measured minimum. Free disk space: 40 GiB free/root disk is a walkthrough allocation, not measured minimum. | Hardware fit unknown Complete FP32 load, cache, expert routing, temporary tensors, environment and OS peak are unmeasured. Enter available memory per device or unified memory pool. Host RAM: 256 GiB is a selected host allocation, not a measured process minimum or fit result. Free disk space: 400 GiB free/root allocation is a reader planning choice, not a measured minimum. |
| One-time cost | Unknown hardware: Existing desktop purchase price and incremental hardware cost depend on the reader; unknown. setup: Initial provisioning/build time and labor cost are unknown. | Unknown hardware: Existing desktop purchase price and incremental hardware cost depend on the reader; unknown. setup: Initial provisioning/build time and labor cost are unknown. |
| Recurring scenario cost | Unknown electricity: Actual wall power, electricity rate and powered hours are unknown; no TDP-to-wall-power conversion. storage: Incremental cost of local disk capacity is unknown. The 40 GiB free-disk walkthrough allocation is an author choice, not a measured requirement. egress: Data transfer price, allowances and traffic volume are unknown. administration: Maintenance labor rate and hours are unknown. One-time setup and recurring costs are separate. Unknown components are not treated as free. No monthly token output is inferred from peak throughput. | Unknown electricity: Actual wall power, electricity rate and powered hours are unknown; no TDP-to-wall-power conversion. storage: Incremental cost of local disk capacity is unknown. The 400 GiB free-disk walkthrough allocation is an author choice, not a measured requirement. egress: Data transfer price, allowances and traffic volume are unknown. administration: Maintenance labor rate and hours are unknown. One-time setup and recurring costs are separate. Unknown components are not treated as free. No monthly token output is inferred from peak throughput. |
| Published measurements (unranked) | No compatible measurement available | No compatible measurement available |
Different currencies and incomplete costs are not ranked. Model quality benchmarks remain on the model pages; they do not establish quality or speed for every deployment.
Liquid AI
LFM2-24B-A2B
LFM2-24B-A2B is a large language model from Liquid AI. Supports up to 32,768 token context window. Available from $0.03/M input tokens.
Cohere
North Mini Code
North Mini Code is Cohere's open-weight Mixture-of-Experts model for agentic coding, repository-level software engineering, terminal workflows, tool use, and local deployment.
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