Decision support
FastVLM 0.5B vs DeepSeek R1 0528 Qwen3 8B
Compare canonical objects directly. The useful dimensions change with the object type, so model and hardware comparisons stay separate.
Apple
Benchmark results
GPQA diamond
Best published score · Higher is better
- FastVLM 0.5BNot reported
- DeepSeek R1 0528 Qwen3 8B9.3%#161 of 161
Runs and sources
FastVLM 0.5BNot reported
DeepSeek R1 0528 Qwen3 8B- default9.3%
Source:Epoch AI evaluationOTIS Mock AIME 2024-2025
Best published score · Higher is better
- FastVLM 0.5BNot reported
- DeepSeek R1 0528 Qwen3 8B43.9%#123 of 158
Runs and sources
FastVLM 0.5BNot reported
DeepSeek R1 0528 Qwen3 8B- default43.9%
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.