---
title: "IBM: Granite 4.2 8B — price, capability and what beats it · Undominated.ai"
canonical: https://undominated.ai/models/ibm-granite__granite-4.2-8b/
description: "IBM: Granite 4.2 8B: $0.060/M in, $0.250/M out. Independent capability scores, and the models that are both better and cheaper."
---

# IBM: Granite 4.2 8B — price, capability and what beats it · Undominated.ai

> IBM: Granite 4.2 8B: $0.060/M in, $0.250/M out. Independent capability scores, and the models that are both better and cheaper.

MODEL PROOF

# Granite 4.2 8B

IBM · 31 Aug 2026

 Balanced Summarise Chat Code gen Agentic

TRADE-OFF

## A stored alternative scores higher and costs less, with capability losses.

 **$0.107** / 1M tokens Balanced · 3 tokens in per 1 out

Qwen3 30B A3B Instruct 2507 · 66.8 points higher independent score · 21% lower measured price

 - 118K → 32K max output
- no extended reasoning

 Independent LMArena score 1,316.8 ± 11.38 · 3,087 votes
 Context window 131.07K
 Maximum output 117.96K
 Input modalities text
 Output modalities text
 Published input price $0.060 / 1M tokens
 Published output price $0.250 / 1M tokens
 Pricing kind fixed

Evidence as of 22 Sept 2026

 openrouter/models LMArena · cc-by-4.0 Copy link Share Download landscape card

MODEL MONUMENT

## Save or share this proof

IBM: Granite 4.2 8B. Balanced workload. Alternative has a trade-off. Evidence as of 22 Sept 2026.

 Download landscape card — 1200 by 630 pixels Download square card — 1080 by 1080 pixels Copy landscape image Share landscape card

$0.060/M in, $0.250/M out in this catalogue, as of the fetch date on this page. That is the API row, not a subscription. Qwen3 30B A3B Instruct 2507 scores higher and costs less — but you would give something up.

### Every price dimension

| Input | $0.060 /M |
| --- | --- |
| Output | $0.250 /M |
| Cached input | $0.015 /M |

### Who sells it

The same weights, different shops. Cheapest is not like-for-like when serving precision differs.

| Seller | Input | Output | Precision | Uptime (1d) |
| --- | --- | --- | --- | --- |
| Seller DeepInfra | Input $0.060 | Output $0.250 | Precision bf16 | Uptime (1d) 99.99% |
| Seller CoreWeave | Input $0.100 | Output $0.150 | Precision bf16 | Uptime (1d) 99.72% |

### Independent scores

| LMArena Elo | 1316.8 default |
| --- | --- |

LMArena Elo under CC BY 4.0. Absence of another board is not a score of zero.

### Capability

| Context window | 131K |
| --- | --- |
| Max output | 118K |
| Input modes | text |
| Tool use | yes |
| Reasoning | optional |

### Provenance

| Price source | openrouter.ai |
| --- | --- |
| Fetched | 2026-09-22 |
| Quality data | verified |

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,...

## Questions this page answers

### What does Granite 4.2 8B cost?

$0.060/M in, $0.250/M out in this catalogue, as of the fetch date on this page. That is the API row, not a subscription.

### Does Granite 4.2 8B have an independent quality score?

Granite 4.2 8B has an LMArena score in this catalogue.

### What beats Granite 4.2 8B?

Qwen3 30B A3B Instruct 2507 scores higher and costs less — but you would give something up.

### Does this page use Artificial Analysis scores for Granite 4.2 8B?

No. Artificial Analysis figures are not published here. Quality on this page is LMArena Elo where a score exists; otherwise the row is unrated.

[Check whether this is still the one to buy](/check/ibm-granite__granite-4.2-8b/) [Cheaper alternatives](/alternatives/ibm-granite__granite-4.2-8b/)

## Related

 - Higher score and cheaper, with a named trade [Qwen3 30B A3B Instruct 2507](/models/qwen__qwen3-30b-a3b-instruct-2507/)
- Nearby on the capability axis [Qwen3 30B A3B](/models/qwen__qwen3-30b-a3b/)
- Same vendor [Granite 4.0 Micro](/models/ibm-granite__granite-4.0-h-micro/)
- IBM models [IBM](/providers/ibm/)
- Where this model appears [spreads](/spreads/)
- Nearby on the capability axis [GPT-4o (2024-05-13)](/models/openai__gpt-4o-2024-05-13/)
- Where this model appears [significance](/significance/)
- Nearby on the capability axis [o3 Mini](/models/openai__o3-mini/)
- Where this model appears [cheapest-at](/cheapest-at/)

## Badge

The verdict as one SVG, for a README or a docs page. It states this model's dominance status at the balanced workload on the LMArena lens, with the date it was computed, and it is rebuilt with the catalogue — so it changes when the verdict changes, including to one you would rather it did not.

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