Quality
#49/670
Overall quality score
🇺🇸IBMOpen sourceIBM: Granite 4.1 8B.
See how IBM: Granite 4.1 8B compares with other broadly useful AI models across quality, speed, price, context, and practical capabilities.
Speed
#15/67114.5 t/s
Output tokens per second
Input price
#5/67$0.05/1M
Per 1M tokens
Output price
#1/67$0.10/1M
Per 1M tokens
Context
#57/67131.1K
Content read at once
Comparison summary
IBM: Granite 4.1 8B ranks #49 of 67 for overall quality and #15 for response speed in the current catalogue.
Its listed input price is $0.05/1M, output price is $0.10/1M, and it can work with up to 131.1K of context at once.
Its strongest areas in the current data are coding, everyday help, complex tasks.
Practical specifications
- Company
- IBM
- Reasoning
- No
- Open weights
- Yes
- Input
- Text
- Output
- Text
- Context window
- 131.1K
IBM: Granite 4.1 8B technical benchmarks.
Named evaluation records for technical comparison. Results retain their original benchmark names and sources.
| Benchmark | Area | Granite 4.1 8B | Source |
|---|---|---|---|
| Coding Index | coding | 9.5 | OpenRouter / artificial-analysis |
| GPQA | GPQA Diamond | 43.3 | OpenRouter model benchmarks |
| Humanity's Last Exam | HLE | 3.8 | OpenRouter model benchmarks |
| IFBench | IFBench | 38.6 | OpenRouter model benchmarks |
| τ²-Bench Telecom | τ²-Bench Telecom | 27.8 | OpenRouter model benchmarks |
| AA-LCR | AA-LCR | 12 | OpenRouter model benchmarks |
| CritPt | CritPt | 0 | OpenRouter model benchmarks |
| SciCode | SciCode | 21.8 | OpenRouter model benchmarks |
| Terminal-Bench Hard | Terminal-Bench Hard | 0 | OpenRouter model benchmarks |
| AA-Omniscience Accuracy | AA-Omniscience Accuracy | 12.1 | OpenRouter model benchmarks |
| AA-Omniscience Non-Hallucination Rate | AA-Omniscience Non-Hallucination Rate | 12.7 | OpenRouter model benchmarks |
Quality benchmarks
See where IBM: Granite 4.1 8B stands.
The darker bar marks IBM: Granite 4.1 8B; the lighter bars provide context from other leading models.
Highlights
Quality
Overall capability · Higher is better
Speed
Output tokens per second · Higher is better
Input price
USD per 1M tokens · Lower is better