Fast multimodal intake
★ 4Useful for mixed media understanding. We still route complex reasoning elsewhere.
GOGemini 2.5 Flash (OpenRouter)
OpenRouter पर text/image/audio/video inputs सपोर्ट करने वाला fast-tier multimodal मॉडल।
Googleverifiedvideo-generationRecently verified
Risk: watchlist
सबसे अच्छा उपयोग
- • fast multimodal copilots, form understanding और media-grounded Q&A।
सीमाएँ
- • Output modality is text-first in OpenRouter routing.
- • High multimodal context can increase latency and spend.
सावधानी कब रखें
- • बिना retries के guaranteed deterministic outputs वाले tasks।
त्वरित शुरुआत
- fast multimodal understanding के लिए उपयोग करें और heavy reasoning को premium models पर route करें।
Setup checklist
- • API key required: Yes
- • SDK quality: high
- • Self-host difficulty: easy
Pricing (USD)
- • Input / 1M: $0.30
- • Output / 1M: $2.50
- • Monthly: -
Usage notes
- • Validate on your own benchmark slices before rollout.
- • Pin version/provider routes for reproducible outputs.
- • Add logging + fallback routes for high-volume workloads.
Risk Assessment
- • Risk signal: prompt-injection
Capabilities
- contextTokens1048576
- supportsImageInputtrue
- supportsAudioInputtrue
- supportsVideoInputtrue
- toolCallingtrue
Benchmarks
contextWindowTokens
1048576
inputCostPerMUsd
0.3
outputCostPerMUsd
2.5
inputModalitiesCount
5
समुदाय समीक्षाएँ
1 reviews • avg 4
Samples
Media-grounded answer
Summarize policy from mixed PDF + screenshot + voice note inputs.