Granite 4.0 H-Tiny 7B-A1B vs Gemma 3 12B
Side-by-side specs, benchmarks, and a verdict by use case.
Updated 2026-07-13
| Spec | Granite 4.0 H-Tiny 7B-A1B | Gemma 3 12B |
|---|---|---|
| Parameters | 7B | 12B |
| Author | IBM | |
| License | Apache 2.0 | Gemma |
| Context window | 0k | 0k |
| VRAM at Q4 | 4 GB | 7 GB |
| VRAM at Q5 | 5 GB | 9 GB |
| VRAM at Q8 | 7 GB | 13 GB |
| VRAM at FP16 | 14 GB | 24 GB |
| Use cases | chat, general, moe, small | chat, general, vision, multilingual |
Verdict
Gemma 3 12B is significantly larger (12B vs 7B), so expect higher quality but heavier VRAM and slower throughput.
For unambiguous commercial use, Granite 4.0 H-Tiny 7B-A1B has the safer license (Apache 2.0) compared to Gemma.
The two models at a glance
About Granite 4.0 H-Tiny 7B-A1B
IBM's edge-class hybrid MoE with 7B total and only 1B active parameters — Apache 2.0 licensed and built for embedded and low-cost serving. Strengths: Extremely low compute cost per token via 1B active params, Apache 2.0 license with no commercial strings attached, 128k context handled efficiently thanks to hybrid Mamba-2, Tiny memory footprint suits edge and serverless deploys.
About Gemma 3 12B
The 12B sweet spot of Google's Gemma 3 line — multimodal, 128K context, and 140 languages. Fits on a single consumer GPU with room for batching. Strengths: Sweet spot for multimodal performance vs hardware cost, 128K context window, 140 language coverage, Strong general-purpose default.
How they compare
Granite 4.0 H-Tiny 7B-A1B comes from IBM and Gemma 3 12B from Google, they belong to the Granite and Gemma families respectively. This comparison is built entirely from structured specs — parameter count, VRAM by quantization, context window, license, and published benchmark scores — so the verdict below reflects measurable differences rather than marketing claims.
At 7B vs 12B parameters, Gemma 3 12B is the larger of the two. At Q4, Granite 4.0 H-Tiny 7B-A1B fits in about 4 GB of VRAM versus 7 GB for the other — a 3 GB difference that matters on consumer GPUs.
The two models target different sweet spots: Granite 4.0 H-Tiny 7B-A1B is tuned for chat, general, moe, small, while Gemma 3 12B leans toward chat, general, vision, multilingual. Match the model to your dominant workload rather than to raw size.
On a typical mid-range GPU, Granite 4.0 H-Tiny 7B-A1B pushes roughly 180 tokens/sec versus 22, so it is the more responsive choice for interactive or high-volume use.
Memory, quantization & throughput
Across quantization levels, Granite 4.0 H-Tiny 7B-A1B requires Q4 ≈ 4 GB, Q5 ≈ 5 GB, Q8 ≈ 7 GB, FP16 ≈ 14 GB, while Gemma 3 12B requires Q4 ≈ 7 GB, Q5 ≈ 9 GB, Q8 ≈ 13 GB, FP16 ≈ 24 GB. In practice Granite 4.0 H-Tiny 7B-A1B fits an 8 GB card at Q4, so plan your GPU around the Q4 or Q5 figure unless you specifically need the higher fidelity of Q8 or FP16.
Without a GPU, Granite 4.0 H-Tiny 7B-A1B needs roughly 8 GB of system RAM to run on CPU and Gemma 3 12B about 14 GB — workable for offline use but far slower than GPU inference. On a mid-range GPU you can expect on the order of 180 tokens/sec from Granite 4.0 H-Tiny 7B-A1B and 22 from Gemma 3 12B, scaling up to 350 and 60 tokens/sec on high-end hardware.
Which fits your GPU
Here is the highest-quality quantization of each model that fits common GPU memory budgets, so you can match Granite 4.0 H-Tiny 7B-A1B or Gemma 3 12B to the card you actually own:
- On a 8 GB GPU: Granite 4.0 H-Tiny 7B-A1B runs at Q8 (7 GB); Gemma 3 12B runs at Q4 (7 GB).
- On a 12 GB GPU: Granite 4.0 H-Tiny 7B-A1B runs at Q8 (7 GB); Gemma 3 12B runs at Q5 (9 GB).
- On a 16 GB GPU: Granite 4.0 H-Tiny 7B-A1B runs at FP16 (14 GB); Gemma 3 12B runs at Q8 (13 GB).
- On a 24 GB GPU: Granite 4.0 H-Tiny 7B-A1B runs at FP16 (14 GB); Gemma 3 12B runs at FP16 (24 GB).
Bottom line: which should you pick?
- Pick Granite 4.0 H-Tiny 7B-A1B if you need a permissive (Apache 2.0) license for commercial deployment.
- Pick Granite 4.0 H-Tiny 7B-A1B for lower VRAM and faster inference; pick Gemma 3 12B for maximum headline quality.
- Pick Granite 4.0 H-Tiny 7B-A1B if your workload is moe, small.
- Pick Gemma 3 12B if your workload is multilingual, vision.
Which GPU should you buy to run Gemma 3 12B?
To run Gemma 3 12B locally at Q4, you need ~7 GB of VRAM. The best value for this is a RTX 5060 (8 GB VRAM).
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Frequently asked questions
What is the difference between Granite 4.0 H-Tiny 7B-A1B and Gemma 3 12B?
The headline differences: Granite 4.0 H-Tiny 7B-A1B is a 7B model and Gemma 3 12B is 12B; they ship under different licenses (Apache 2.0 vs Gemma). Below we break down VRAM by quantization, benchmark scores, and a use-case verdict so you can pick the right one.
Can Granite 4.0 H-Tiny 7B-A1B and Gemma 3 12B run on a 24 GB GPU?
At a Q4 quantization, Granite 4.0 H-Tiny 7B-A1B needs about 4 GB of VRAM and fits comfortably on a 24 GB GPU; Gemma 3 12B needs about 7 GB and fits comfortably on a 24 GB GPU. Granite 4.0 H-Tiny 7B-A1B is the lighter option for tight VRAM budgets.
Which is faster, Granite 4.0 H-Tiny 7B-A1B or Gemma 3 12B?
Granite 4.0 H-Tiny 7B-A1B is the smaller model (7B vs 12B), so on the same hardware it runs faster and uses less memory. The larger model trades speed for headline quality.
Which license is safer for commercial use, Granite 4.0 H-Tiny 7B-A1B or Gemma 3 12B?
Granite 4.0 H-Tiny 7B-A1B ships under Apache 2.0, a permissive license with no usage restrictions, whereas the other is under Gemma — check its terms before commercial deployment.