LLM Comparison
Hermes 4 70B vs North Mini Code
Side-by-side specs, pricing & capabilities
Add to comparison
2/6 models| Organization | ||
| OpenTools Score | ||
| Family | Hermes | North |
| Status | Current | Current |
| Release Date | Aug 2025 | Jun 2026 |
| Context Window | 131K tokens | 262K tokens |
| Input Price | $0.13/M tokens | Free |
| Output Price | $0.40/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 | nousresearch/hermes-4-70b | north-mini-code-1-0 |
| Benchmarks | ||
| GPQA Diamond | — | 75.7%artificial-analysis |
| SciCode | — | 38.8%artificial-analysis |
| Terminal-Bench 2.1 | — | 35.6%artificial-analysis |
| View Hermes 4 70B | 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 | — |
| Hermes 4 70B | $0.13 | $0.20 | $0.33 | +0% |
Compare hosting configurations
Compare two exact setups, including different configurations of the same model. Hardware fit, measured speed and costs are separate decisions.
Add your cost assumptions (optional)
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 Hermes 4 70B standard chat on a 64 GiB Intel desktop | Run complete native North Mini Code with retained reasoning and inert tools on a CPU workstation |
|---|---|---|
| Model | Hermes 4 70B | North Mini Code |
| Hardware | Intel Core i5-12400 desktop, 8 inference threads, 64 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 | Hermes 4 70B Q4_K_M, Unsloth derivative · GGUF Q4_K_M mixed quantization · Q4_K_M mixed quantization published by Unsloth | 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 CPU peak for this dense 70B Q4_K_M artifact and 4K workload. Enter available memory per device or unified memory pool. Host RAM: 64 GiB is chosen host capacity, not a measured minimum. Free disk space: 80 GiB is an author free/root disk allocation, not measured disk 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 80 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.
Nous Research
Hermes 4 70B
Hermes 4 70B is a large language model from Nous Research. Supports up to 131,072 token context window. Available from $0.13/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.
More Comparisons
Looking for more AI models?
Browse All LLMs