Google DeepMind · closed · 2025-12
Gemini 3 Flash
#8 index 86.1
the takeThe value pick of the Gemini line. Near-Pro reasoning, it actually beats the old Pro on SWE-bench, and it costs a rounding error. This is what I default to for volume.
SWE-bench Verified
78.0
GPQA Diamond
90.4
MMLU-Pro
—
AIME (math)
95.2
- Context
- 1.048576M
- Input
- $0.5/M
- Output
- $3/M
- Speed
- 165.7 tok/s
- Modality
- text, image, audio, video
- Excellent price/perf ($0.50/$3)
- Beats Gemini 3 Pro on SWE-bench
- Fast (~166 tok/s), 1M multimodal context
- Lower hard-reasoning ceiling than Pro
- Superseded by 3.5 Flash on agentic work
- Text-only output