FLUX.1 Kontext [pro] — Multi-Image Fusion
Geschwindigkeitsanalyse
Latenz über alle Benchmark-Läufe gemessen. P50 (Median) und P95 (95. Perzentil) zeigen ein realistisches Bild der Antwortgeschwindigkeit bei normaler und Spitzenlast.
Tokens pro Sekunde
Durchsatz in Tokens pro Sekunde, abgeleitet aus gemessener P50-Latenz. Höhere Werte sind besser; Schwankungen spiegeln die Provider-seitige Last wider.
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Fähigkeiten
Verfügbarkeit
Verfügbarkeit
Noch keine Messdaten
Es wurden noch nicht genug API-Aufrufe aufgezeichnet, um Verfügbarkeitsstatistiken für dieses Modell anzuzeigen. Daten erscheinen, sobald das Modell Live-Traffic erhält.
Tokonomix-Benchmark-Urteile
Image editing capability added with consistent core performance metrics
FLUX.1 Kontext [pro] has integrated image editing functionality into its multi-image fusion capabilities, marking a significant expansion of its feature set. The model maintains its established performance profile across core metrics during this transition period. With no benchmark data available from the previous window and limited current data points, comprehensive performance trends cannot be established at this time. The addition of image editing represents a strategic enhancement to the model's toolset, potentially enabling users to perform more complex visual manipulation tasks beyond basic multi-image fusion. Users adopting this model should be aware that the image editing integration is newly deployed, and the model's behavior under various editing scenarios will become clearer as more usage data accumulates. The stable foundation of the FLUX.1 architecture suggests reliability, though the practical performance of the new editing features in production environments requires further observation. Organizations considering this model for workflows involving both image fusion and editing tasks may find value in the consolidated capability set, though thorough testing is recommended given the nascent stage of the image editing integration.
Quality
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Latency p50
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Test runs
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FLUX.1 Kontext [pro] — Multi-Image Fusion
von fal.ai
- Kontextfenster
- — tokens
- Eingabepreis
- — / 1M
- Ausgabepreis
- — / 1M
- Tier
- —
- Modalität
- Text
- API-Typ
- REST · Streaming
- Benchmark-Läufe
- 65
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