LLM Comparison
Granite 4.0 Micro vs Hermes 3 70B Instruct
Side-by-side specs, pricing & capabilities
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2/6 models| Organization | ||
| OpenTools Score | ||
| Family | Granite | Hermes |
| Status | Current | Current |
| Release Date | Oct 2025 | Aug 2024 |
| Context Window | 131K tokens | 131K tokens |
| Input Price | $0.02/M tokens | $0.30/M tokens |
| Output Price | $0.11/M tokens | $0.30/M tokens |
| Capabilities | textcode | textcode |
| API Identifier | ibm-granite/granite-4.0-h-micro | nousresearch/hermes-3-llama-3.1-70b |
| Benchmarks | ||
| AIME 2025 | 6%artificial-analysis | — |
| GPQA Diamond | 33.6%artificial-analysis | — |
| View Granite 4.0 Micro | View Hermes 3 70B Instruct | |
Cost Calculator
Enter your expected monthly token usage to compare costs.
| Model | Input | Output | Total / mo | vs Best |
|---|---|---|---|---|
| Granite 4.0 MicroCheapest | $0.02 | $0.06 | $0.07 | — |
| Hermes 3 70B Instruct | $0.30 | $0.15 | $0.45 | +525% |
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 Granite 4.0 H Micro on a Linux RTX 4090 desktop | Run Hermes 3 70B text chat on a 64 GiB Intel desktop |
|---|---|---|
| Model | Granite 4.0 Micro | Hermes 3 70B Instruct |
| Hardware | One NVIDIA GeForce RTX 4090 on Linux x86_64 | Intel Core i5-12400 desktop, 8 inference threads, 64 GiB RAM |
| Runtime | vLLM 0.31.0+cu129 · CUDA | llama.cpp v0.7.0 (620d2225cc436ab0b001e3200e590e3b286ef9ab) · CPU |
| Artifact | Granite 4.0 H Micro · BF16 · None; original BF16 weights | Hermes-3-Llama-3.1-70B Q4_K_M · GGUF Q4_K_M mixed quantization · Q4_K_M mixed GGUF quantization published by Nous Research |
| 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 Complete GPU footprint has not been measured: model weights, KV cache, runtime allocations, compilation and workspace must all fit. Host RAM: No measured minimum host RAM for this exact version, context and configuration is available. Free disk space: Known download size is not the complete environment, cache and runtime disk requirement. | 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. |
| One-time cost | Unknown Hardware purchase: No dated hardware purchase quote is available; existing ownership is not treated as a zero purchase price. Initial setup work: Initial setup time is not priced; no labour rate or duration has been measured. | 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: Whole-system measured wall power, powered-on hours and the reader’s electricity tariff are unknown. GPU maximum board power is not a measured system draw. Operations and maintenance: Ongoing patching and operation effort is not measured or priced. Persistent storage: The owned host storage arrangement and any recurring backup or storage bill are unknown; no monthly amount is asserted. Data transfer: The reader’s internet or network plan and traffic volume are unknown; loopback requests alone do not establish total network costs. 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 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. |
| 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.
IBM
Granite 4.0 Micro
Granite 4.0 Micro is a large language model from IBM. Supports up to 131,000 token context window. Available from $0.02/M input tokens.
Nous Research
Hermes 3 70B Instruct
Hermes 3 70B Instruct is a large language model from Nous Research. Supports up to 131,072 token context window. Achieves 82.0% on MMLU. Available from $0.30/M input tokens.
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