- Text Generation
MiMo-V2-Flash is an open-source Mixture-of-Experts language model from Xiaomi optimized for fast, long-context reasoning and coding. It combines a 309B-parameter MoE architecture with only 15B active…
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FLUX.2 Flex
- Text Generation
FLUX.2 Flex is Black Forest Labs’ developer-tunable FLUX.2 image generation and editing model, offering flexible control over resolution, speed–quality tradeoffs, and highly accurate text rendering.
Providers Comparison
Speed
Output tokens per second · Higher is better
L
LLM API
S
SiliconFlow (FP8)
G
GMI
C
CoreWeave
N
Novita
D
DeepSeek
P
Parasail (FP8)
D
DeepInfra (FP4)
End-to-End Response Time
Seconds · Lower is better
L
LLM API
S
SiliconFlow (FP8)
G
GMI
C
CoreWeave
N
Novita
D
DeepSeek
P
Parasail (FP8)
D
DeepInfra (FP4)
Price
USD per 1M tokens (blended) · Lower is better
L
LLM API
S
SiliconFlow (FP8)
G
GMI
C
CoreWeave
N
Novita
D
DeepSeek
P
Parasail (FP8)
D
DeepInfra (FP4)
About the model
What is FLUX.2 Flex?
FLUX.2 Flex is a flexible, parameter-tunable variant of Black Forest Labs’ FLUX.2 image generation family that exposes direct control over key generation settings such as inference steps, guidance scale, and output resolution. It is mainly used for text-to-image and image-to-image generation where creators need fine-grained control over typography, layout, and visual detail, such as UI mockups, infographics, and branded assets. It is also suited to multi-reference image editing workflows that require consistent identity and style across iterations while balancing cost, speed, and fidelity. FLUX.2 Flex belongs to the FLUX.2 model family alongside variants such as FLUX.2 Max and FLUX.2 Klein, sharing the same core image-generation architecture with different optimization targets.
Model capabilities
5 Core Capabilities
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Text-to-image generation
Generates high-quality images from natural language prompts, with tunable quality-speed tradeoffs via adjustable inference steps and guidance.
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Image editing
Edits and enhances existing images up to multi-megapixel resolutions based on text instructions while preserving global coherence and composition.
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Multi-reference control
Supports multiple reference images to maintain character identity, product appearance, and stylistic consistency across generated or edited outputs.
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Enhanced text rendering
Produces clean, readable typography and complex text layouts, suitable for posters, UI mockups, infographics, and other text-heavy visuals.
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Prompt language handling
Accepts prompts in different languages and reliably interprets them for image generation, enabling multilingual creative workflows.
Use cases
6 Most Valuable Use Cases
- Product concept renders
- Marketing visual creation
- Website hero imagery
- Social media graphics
- E-commerce listing photos
- UI concept illustration
Transparent pricing
Cost Comparison
LLM API offers the lowest cost per image and fastest global latency for FLUX.2-class models.
| Provider | Region | Latency | Throughput | Uptime | Input ($/1M) | Output ($/1M) | Context |
|---|---|---|---|---|---|---|---|
| LLM API BEST | Global | 80ms | ~120 img/min | 99.99% | $0.005/img | $0.00/img | 1 img |
| Black Forest Labs (Official API) | EU West | ~180ms | ~60 img/min | 99.9% | ~$0.020/img | $0.00/img | 1 img |
| Hugging Face Inference Endpoints | Global | ~220ms | ~40 img/min | 99.5% | ~$0.030/img | $0.00/img | 1 img |
| Replicate | US East | ~250ms | ~35 img/min | 99.5% | ~$0.035/img | $0.00/img | 1 img |
Performance benchmarks
Technical Specifications
| Metric | FLUX.2 Flex (Black Forest Labs) | Stable Diffusion 3 Medium (Stability AI) | DALL·E 3 (OpenAI) |
|---|---|---|---|
| Latency per Image | ~900ms | ~1100ms | ~1200ms |
| Throughput | ~45 img/s | ~35 img/s | ~30 img/s |
| Max Resolution | 1536×1536 | 2048×2048 | 2048×2048 |
| Price per Image | ~$0.020 | ~$0.018 | ~$0.040 |
| Supported Formats | PNG, JPEG, WEBP | PNG, JPEG, WEBP | PNG, JPEG |
| Uptime | 99.9% | 99.5% | 99.9% |
30-day usage via LLM API
- 3.8B
- Image generation prompts processed (30 days)
- 12.4M
- API requests served (30 days)
- 610K
- Unique developer accounts using FLUX.2 Flex (30 days)
- 99.8%
- Average API uptime (last 30 days)
Architecture & Integration
Why Build on LLM.API?
One unified API. Every major model. Built-in reliability, cost control, and observability.
-
Unified AI Routing
Dynamically route requests across providers and models based on latency, cost, or quality. Swap vendors without code changes or client-side orchestration.
One endpoint, every model -
Cost-Aware Controls
Set per-project budgets, caps, and policies while automatically choosing the most cost-efficient model. Keep spend predictable without sacrificing performance or flexibility.
Optimize every token -
Automatic Fallback
Recover from provider outages, rate limits, and timeouts with built-in failover logic. Your critical flows stay up, even when individual APIs go down.
Resilience by default -
Full-Stack Observability
Trace every request across providers with unified logs, metrics, and latency breakdowns. Debug failures and tune prompts using one consistent telemetry layer.
See every token hop -
Task-Level Orchestration
Define higher-level tasks that chain tools, models, and workflows behind a single call. Keep your app code clean while LLM.API handles the coordination.
Ship workflows, not glue -
High-Throughput Batch
Send massive batches of prompts in one request with automatic chunking, retries, and aggregation. Maximize throughput and minimize overhead for large-scale workloads.
Scale tokens, not code
Decision guide
When to Use — When NOT to Use
Use it if...
- You need fast, on-demand image generation with strong general-purpose visual quality and variety.
- Your use case involves interactive UI mockups or product concepts that need crisp detail.
- You need to iterate quickly on marketing visuals, thumbnails, or social media creatives.
- Your use case involves stylistically flexible illustrations, from semi-realistic to more artistic renderings.
- You need a general image generator for experimentation and prototyping across many visual domains.
- Your use case involves testing or benchmarking modern, diffusion-based image models from multiple providers.
Avoid if...
- You need a text or code model rather than an image generation model.
- Your workload requires strict licensing clarity about training data sources or commercial indemnification.
- You need fine-grained control over layout or text rendering comparable to dedicated design tools.
- Your workload requires ultra-photorealistic, production-grade images tuned to a specific brand style.
- You need inference entirely on-premise or air‑gapped, without using a managed API.
- Your workload requires advanced video generation or animation rather than single-image synthesis.
FAQ
Frequently Asked Questions
-
What is FLUX.2 Flex?
FLUX.2 Flex is an image generation model by Black Forest Labs designed for high-quality, flexible text-to-image generation via API.
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What modalities does FLUX.2 Flex support?
FLUX.2 Flex currently supports text-to-image generation and image-to-image transformations, but does not process or generate pure text responses.
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How is FLUX.2 Flex priced on LLM.API?
On LLM.API, FLUX.2 Flex is billed per image generation request, with cost depending on resolution and optional advanced parameters like steps or guidance.
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What is the typical speed or latency of FLUX.2 Flex calls?
Typical FLUX.2 Flex generations complete within a few seconds, varying with image resolution, generation steps, and overall LLM.API backend load.
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What context window or input size limits apply to FLUX.2 Flex?
FLUX.2 Flex accepts reasonably long text prompts, but is constrained by maximum prompt length in characters and image upload size limits for image-to-image.
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How do I access FLUX.2 Flex through LLM.API?
You call FLUX.2 Flex using the LLM.API unified endpoint, specifying the provider as Black Forest Labs and the model name as flux-2-flex.
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What is FLUX.2 Flex best suited for?
FLUX.2 Flex is best for fast, high-quality image generation where you need flexible style control and cost-effective inference at scale.
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How does FLUX.2 Flex compare to other Black Forest Labs models?
FLUX.2 Flex trades some peak fidelity and specialization for greater speed, flexibility, and lower cost compared to heavier FLUX.2 variants.
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What are the main limitations of FLUX.2 Flex?
FLUX.2 Flex can struggle with rendering accurate text in images, complex small details, and may produce biased or inappropriate content without careful prompting.
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Can I use FLUX.2 Flex together with other models through LLM.API?
Yes, you can orchestrate FLUX.2 Flex with other vision or language models in a single LLM.API integration by switching the model parameter per request.
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