Granite 4.2 8B Open vs MAWeaver (alpha) Paid
Granite 4.2 8B vs Weaver (alpha) compared — price per token, context window, multimodality, openness and which to choose. Can the open-source model replace the paid one? Full 2026 breakdown.
Weaver (alpha) — full profile ›
Prices & specs refreshed from live data · olud.ai
Open-model prices = cheapest provider via OpenRouter; official maker rates may be higher.
$0.25 /M outputNo per-token fees if you self-host
$0.75 /M outputManaged API (no infra to run)
Granite 4.2 8B vs Weaver (alpha) specs
| Spec | Granite 4.2 8B | Weaver (alpha) | Winner |
|---|---|---|---|
| Maker | IBM | Mancer | – |
| Type | Open-weight | Proprietary | |
| Context window | 131K tokens | 8K tokens | |
| Input price | $0.06/M · free self-host | $0.4/M | |
| Output price | $0.25/M · free self-host | $0.75/M | |
| Vision / multimodal | No | No | – |
| Tool / function calling | Yes | No | |
| Self-hostable | Yes | No (API only) | |
| License | Apache 2.0 | Proprietary |
Price gap & when to choose each
Granite 4.2 8B is ~3.0× cheaper than Weaver (alpha) on output tokens ($0.25 vs $0.75 per M tokens).
- You want to self-host or run on your cloud
- You need the longer 131K context window
- You prioritize data privacy & control
- You want the lowest operating costs
- You are building open or reproducible AI
- You want frontier performance through a managed API
- You value reliability & ecosystem
- You don't want to manage infrastructure
Feature comparison
| Capability | Granite 4.2 8B | Weaver (alpha) |
|---|---|---|
| Open weights (downloadable) | ✓ | ✗ |
| Self-hostable | ✓ | ✗ |
| Runs fully offline | ✓ | ✗ |
| Vision / multimodal | ✗ | ✗ |
| Tool / function calling | ✓ | ✗ |
| 1M+ context window | ✗ | ✗ |
Benchmarks: Granite 4.2 8B vs Weaver (alpha)
Independent benchmark scores measured by Artificial Analysis. Higher is better (except latency).
Benchmark data by Artificial Analysis.
How Granite 4.2 8B and Weaver (alpha) score
| Criterion | Granite 4.2 8B | Weaver (alpha) |
|---|---|---|
| Cost-efficiency | 5.0 | 5.0 |
| Context window | 3.5 | 2.0 |
| Openness | 5.0 | 1.5 |
| Self-hosting | 5.0 | 1.0 |
| Multimodality | 3.5 | 2.0 |
Scores come from live data — output price (cost), context length, open vs closed weights (openness & self-hosting) and vision/tool support (multimodality). Raw task quality isn't scored here; it depends on your benchmark — see the verdict.
What each model is
Granite 4.2 8B Open
Granite 4.2 8B is a dense reasoning model from IBM. It is suited for mathematics, code generation, multilingual dialogue, and agentic workflows that need multi-step reasoning. It supports full, low-effort,...
Weaver (alpha) Paid
An attempt to recreate Claude-style verbosity, but don't expect the same level of coherence or memory. Meant for use in roleplay/narrative situations.
Other models in these families
These variants are tracked but not compared here — one page per family keeps the comparison readable.
Frequently asked questions
Is Granite 4.2 8B as good as Weaver (alpha)?
Granite 4.2 8B is open-weight and competitive on many tasks, but Weaver (alpha) may still lead on the hardest reasoning and agentic work. The gap keeps narrowing — benchmark both on your actual use case before deciding.
Can I run Granite 4.2 8B locally?
Yes. Granite 4.2 8B has open weights, so you can self-host it on your own GPUs or run it via a low-cost API. Weaver (alpha) is API-only and cannot be self-hosted.
How much cheaper is Granite 4.2 8B?
Granite 4.2 8B costs $0.25/M output vs $0.75/M for Weaver (alpha) — roughly 3x cheaper via API, and free if you self-host.
Granite 4.2 8B vs Weaver (alpha) — which should I pick in 2026?
Choose Granite 4.2 8B if you want to self-host, keep your data private and skip per-token fees — it's open-weight and runs on your own hardware. Choose Weaver (alpha) if you want frontier capability through a managed API with zero infrastructure to run.
People also compare
Explore more open-source AI
Browse the full open-source model leaderboard, thousands of tools and live benchmarks — all in one place.
Open the leaderboard →