Decision support
Qwen2.5 7B Instruct vs Llama-3.2-1B
Compare canonical objects directly. The useful dimensions change with the object type, so model and hardware comparisons stay separate.
Benchmark results
GPQA diamond
Best published score · Higher is better
- Qwen2.5 7B Instruct35.5%#153 of 161
- Llama-3.2-1BNot reported
Runs and sources
Qwen2.5 7B Instruct- default35.5%
Llama-3.2-1BNot reported
Source:Epoch AI evaluationOTIS Mock AIME 2024-2025
Best published score · Higher is better
- Qwen2.5 7B Instruct2.5%#152 of 158
- Llama-3.2-1BNot reported
Runs and sources
Qwen2.5 7B Instruct- default2.5%
Llama-3.2-1BNot reported
Source:Epoch AI evaluation
Each model's best published result is shown; "Not reported" means no matched evaluation, not a score of zero. Arena and DeepSWE ranks are the leaderboards' own; other ranks are among catalogue models with a score. Results from different harnesses or settings are not directly comparable.
Benchmark compilation: Epoch AI, Capabilities & benchmarking (CC BY attribution). Scores are converted to percentages and model names matched to the Vertical Tabs catalog. Individual evaluations are credited to their original sources. External results may carry separate licences and evaluation configurations; do not interpret scores from different harnesses as directly comparable.
Model specifications
API pricing · USD per 1M tokens
Capabilities and modalities
Architecture and availability
A dash means the field is not reported. Provider-specific performance and pricing may differ.