1M Token Kontext Max Recall
Flux achieves 99.8% recall in needle-in-a-haystack tests. Pass your entire documentation set through Flux Kontext Max AI without manual chunking.
Flux Kontext Max(Usang)
Flux Kontext Max AI is a 1M token multimodal model built for massive document retrieval. It offers 99.8% recall accuracy, native high-res vision, and expert-level reasoning for complex technical analysis and long-form data processing.
Harga Flux Kontext Max
Mulai dari biaya satu sampel dan tentukan anggaran pengujian. Tarif GPTProto 20% lebih rendah dari harga yang tercantum.
| Skenario | Daftar Flux | OpenRouter | GPTProto | Penghematan Anda / bln |
|---|---|---|---|---|
| Pengujian cepat & prototipe100 gambar / bln | $8.00 | $8.44 | $6.40 | −$1.60≈ $19.20 / thn |
| Foto produk & e-commerce1,000 gambar / bln | $80.00 | $84.40 | $64.00 | −$16.00≈ $192.00 / thn |
| Materi iklan / pemasaran2,500 gambar / bln | $200.00 | $211.00 | $160.00 | −$40.00≈ $480.00 / thn |
| Konten media sosial10,000 gambar / bln | $800.00 | $844.00 | $640.00 | −$160.00≈ $1920.00 / thn |
Hemat $0.00 / bulan
Penghematan tahunan ≈ $0.00 · bayar sesuai pemakaian
Model Terkait
Semua Model
Flux Kontext MaxSaat ini
Flux · $0.064 per waktu
Model
Harga: GPTProto
vs Harga Resmi
vs OpenRouter
Resolusi
Stabilitas
Flux Kontext MaxSaat ini
Flux
$0.06per waktu
-20%
-24%
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Core Flux Kontext Max AI Features
The technical highlights of the Flux Kontext Max AI architecture, focusing on multimodal reasoning and 1M token stability.
Native High-Resolution Vision
Flux uses dynamic tiling for high-res images up to 2000px. Analyze blueprints alongside text in a single Flux session for deep multimodal reasoning.
Complex Table Extraction
Flux extracts data from unstructured financial files with 94% accuracy. Convert nested tables into clean JSON formats directly within the Flux environment.
RAG-less Model Architecture
Reduce complexity by passing full datasets as context. Flux Kontext Max AI serves as a prefix-cached engine, lowering costs for repeated long queries.
Flux Kontext Max AI FAQ and Support
Common questions about using Flux Kontext Max AI for long-context tasks, multimodal vision, and pricing parity at GPTProto.com.
How does this differ from the official Flux API?
GPTProto.com provides a unified OpenAI-compatible SDK for Flux. You get Flux pricing parity, consolidated billing, and cross-model failover while maintaining direct access to Flux Kontext Max AI performance.
Is my data used for training Flux models?
No. Data sent to Flux via our platform is protected under enterprise privacy agreements. Flux AI Research does not use your inputs or outputs for model training or refinement, ensuring total data sovereignty.
What is the typical latency for 1M token tasks?
Processing 1M tokens typically takes 10–25 seconds before the first token is generated. We recommend using the Flux streaming feature to manage user expectations during massive Kontext Max data processing tasks.
How do I migrate to Flux from Gemini 1.5 Pro?
Flux is a drop-in replacement for tasks under 1,048,576 tokens. While Gemini supports a larger window, Flux Kontext Max AI provides superior multimodal vision accuracy and a more consistent developer API structure.
Is fine-tuning supported for Flux Kontext Max AI?
Fine-tuning is not currently supported. However, most developers find that the 1M Flux context window allows for 'Long-context Few-shot' prompting, which often yields results superior to traditional AI fine-tuning.
Is there enterprise billing for Flux usage?
Yes. GPTProto.com supports enterprise needs for Flux users. We offer monthly invoicing, net-30 terms, and volume-based discounts for accounts with high-scale Flux Kontext Max AI requirements.
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