Falcon-H1-34B
Falcon-H1-34B places in the top three on 3 benchmarks.
27
Benchmarks with a score
0
Ranked first, out of five or more models
3
In the top three
Falcon-H1-34B
Open weights Flagship
118.3
#355 of 404
Self-Reported Index, from the lab's own numbers. No Epoch Capabilities Index score yet.
- Alyah 71.1% #4 /10
- AraGen 45.7% #24 /42
- Okapi MMLU 77.8% #3 /8
Where it ranks
Its best score on each benchmark, and where that ranks among every model with a score there. We rank each model once, at its best setting.
Knowledge and language
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| MT-Bench | 9.20 | #3 of 23 | Lab model card | |
| IFEval | 89.4% | #41 of 135 | Lab model card | |
| TruthfulQA | 65.3% | #11 of 30 | Lab model card | |
| Okapi MMLU | 77.8% | #3 of 8 | Lab model card | |
| Alyah | 71.1% | #4 of 10 | Official leaderboard | |
| MMLU | 84% | #59 of 131 | Lab model card | |
| MMLU-stem | 83.6% | #1 of 2 | Lab model card | |
| AraGen | 45.7% | #24 of 42 | Official leaderboard | |
| BIG-Bench Hard | 70.7% | #46 of 73 | Lab model card | |
| HellaSwag | 81.9% | #35 of 53 | Lab model card | |
| MGSM | 76.3% | #38 of 57 | Lab model card | |
| AlpacaEval 2.0 | 48.3% | #11 of 16 | Lab model card | |
| ARC-Challenge | 61% | #37 of 49 | Lab model card | |
| MMLU-Pro | 58.7% | #146 of 167 | Lab model card |
Math and science
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| AMC | 69.4% | #1 of 4 | Lab model card | |
| GPQA Main | 41.5% | #4 of 7 | Lab model card | |
| GSM8K | 83.6% | #60 of 92 | Lab model card | |
| MATH-500 | 83.8% | #57 of 70 | Lab model card | |
| GPQA Diamond | 49.7% | #247 of 302 | Lab model card | |
| AIME 2024 | 23.8% | #83 of 88 | Lab model card | |
| AIME 2025 | 16.7% | #140 of 143 | Lab model card |
Coding
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| MBPP | 83.9% | #14 of 71 | Lab model card | |
| HumanEval | 87.2% | #32 of 101 | Lab model card | |
| CRUXEval | 73.1% | #3 of 9 | Lab model card | |
| MBPP+ | 71.4% | #9 of 15 | Lab model card | |
| HumanEval+ | 81.7% | #19 of 27 | Lab model card |
Other
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| LiveBench | 46.3% | #22 of 27 | Lab model card |
Its lab's numbers put it at 118.3, number 355 of 404
The Self-Reported Index fits one score to the 20 capability results Technology Innovation Institute reported for this model, on the scale of the Epoch Capabilities Index. Labs choose which benchmarks to show and how to run them, so read it as the lab's claim, not an independent measurement. The 90% interval runs from 115.8 to 120.8. How we compute it.
- IFEval 89.4
- HumanEval 87.2
- MMLU 84
- MBPP 83.9
- MATH-500 83.8
- GSM8K 83.6
- HellaSwag 81.9
- HumanEval+ 81.7
- Okapi MMLU 77.8
- MGSM 76.3
- CRUXEval 73.1
- MBPP+ 71.4
- BIG-Bench Hard 70.7
- TruthfulQA 65.3
- ARC-Challenge 61
- MMLU-Pro 58.7
- GPQA Diamond 49.7
- AlpacaEval 2.0 48.3
- AIME 2024 23.8
- AIME 2025 16.7
Its launch post
The benchmarks the lab chose to headline, with the scores it gave.
Its system card
Every result in the longer documents the lab published with it. 6 of them aren't in the launch post.
Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance Jul 30, 2025
Capabilities
- BIG-Bench Hard 70.7
- ARC-Challenge 61
- TruthfulQA 65.3
- HellaSwag 81.9
- MMLU 84
- GSM8K 83.6
- MATH-500 83.8
- AMC 69.4
- AIME 2024 23.8
- AIME 2025 16.7
- GPQA Main 41.5
- GPQA Diamond 49.7
- MMLU-Pro 58.7
- MMLU-stem 83.6
- HumanEval 87.2
- HumanEval+ 81.7
- MBPP 83.9
- MBPP+ 71.4
- CRUXEval 73.1
- IFEval 89.4
- AlpacaEval 2.0 48.3
- MT-Bench 9.2
- LiveBench 46.3
- Okapi MMLU 77.8
- MGSM 76.3
- HELMET