Head to head
Black Forest Labs (FLUX) vs Google Imagen / Gemini Image
As a image generation API, Google Imagen / Gemini Image rates higher on the APIbenchmarks Index, 88.2 to 67.4, a 20.8-point gap. Here is how they compare on each criterion.
Criterion by criterion
| Criterion | Black Forest Labs (FLUX) | Google Imagen / Gemini Image |
|---|---|---|
| Documentation & DX | ||
| Reliability | ||
| Ecosystem & SDKs | ||
| Accessibility | ||
| APIbenchmarks Index | 67.4 | 88.2 |
Specifications
| Black Forest Labs (FLUX) | Google Imagen / Gemini Image | |
|---|---|---|
| Best for | First-party FLUX.2 generation + editing | Hyperscale image gen across AI Studio + Vertex AI |
| Free tier | No | Free AI Studio key + limited free tier |
| Pricing | Per megapixel, credit-based ($0.015-0.07/MP) | Per image / per token ($0.02-0.15) |
| Official SDKs | 7 languages | 10 languages |
Is Black Forest Labs (FLUX) better than Google Imagen / Gemini Image?
On the APIbenchmarks Index, Google Imagen / Gemini Image rates higher (88.2 vs 67.4). It leads on the four weighted criteria, but price is reported separately, so the best choice still depends on your budget.
Verdict in one line
Google Imagen / Gemini Image leads by 20.8 points (88.2 vs 67.4) and wins 4 of 4 criteria.
Winner by criterion
| Criterion | Winner | ||
|---|---|---|---|
| Documentation & DX | 72 | 88 | |
| Reliability | 66 | 95 | |
| Ecosystem & SDKs | 58 | 88 | |
| Accessibility | 74 | 80 |
Choose Black Forest Labs (FLUX) if… / choose Google Imagen / Gemini Image if…
- →your use case matches its focus: first-party flux.2 generation + editing
- →documentation & dx matters most to you (88 vs 72)
- →reliability matters most to you (95 vs 66)
- →ecosystem & sdks matters most to you (88 vs 58)
- →accessibility matters most to you (80 vs 74)
- →you want a free tier to start (Free AI Studio key + limited free tier)
- →you need broad SDK coverage (10 official SDKs vs 7)
- →your use case matches its focus: hyperscale image gen across ai studio + vertex ai
Pricing side by side
- Model
- Per megapixel, credit-based ($0.015-0.07/MP)
- Free tier
- No
- FLUX.2 [pro]from $0.03/image
- FLUX.2 [flex]from $0.05/image
- FLUX1.1 [pro]$0.04/image
- FLUX1.1 [pro] Ultra$0.06/image
- FLUX.1 Kontext [pro]$0.04/image
- FLUX.1 Kontext [max]$0.08/image
- Model
- Per image / per token ($0.02-0.15)
- Free tier
- Free AI Studio key + limited free tier
- Gemini 2.5 Flash Image (Standard)$0.039 / image
- Gemini 2.5 Flash Image (Batch/Flex)$0.0195 / image
- Imagen 4 Fast$0.02 / image
- Imagen 4 Standard$0.04 / image
- Imagen 4 Ultra$0.06 / image
- Gemini 3 Pro Image$0.067-$0.12 / image
Vendor-published pricing, verified 2026-06-27 (Black Forest Labs (FLUX)) and 2026-06-27 (Google Imagen / Gemini Image).
SDK and language coverage
Both · 1
Python (community / examples)
Only Black Forest Labs (FLUX) · 6
REST API (HTTP)Official inference repo on GitHub (PyTorch)Hugging Face Diffusers integrationComfyUI nodesMCP serverThird-party access via fal.ai, Replicate, Together AI, NVIDIA NIM, Azure AI Foundry
Only Google Imagen / Gemini Image · 9
JavaScript / TypeScript (Google GenAI SDK)Go (Google GenAI SDK)REST / HTTP (curl)Google AI StudioVertex AILangChain (community)LlamaIndex (community)CrewAI (community)Vercel AI SDK (community)
Strengths and weaknesses
- +Frontier image quality at low cost, FLUX.2 [pro] launched #2 on the Artificial Analysis T2I Arena while costing under a quarter of the top model
- +Fast in-context editing: FLUX.1 Kontext averages ~0.9s per 1024x1024 edit, ~8x faster than diffusion-based editors per BFL
- +Pure pay-per-image metering (1 credit = $0.01), no subscriptions, seats or minimums
- –Aggressive, opaque content moderation: developers report frequent 'Request Moderated' errors on requests they consider valid
- –No official multi-language SDK, integration is raw REST plus community libraries
- –Asynchronous poll-based API (submit then poll) rather than a simple synchronous call adds integration complexity
- +Per-image cost is very low and transparent ($0.039 standard, $0.02 Imagen 4 Fast), with batch mode halving it
- +Best-in-class character/subject consistency across edits and scenes
- +Conversational natural-language editing with local edits that don't redraw the whole image
- –Aggressive safety filtering blocks benign images (e.g. visible skin, family-photo restoration) that Gemini 2.0 and OpenAI allow
- –Mandatory invisible SynthID watermark on every output cannot be removed
- –Rapid deprecation cadence (Imagen 4 endpoints shutting down Aug 17, 2026) forces migrations
Black Forest Labs (FLUX) vs Google Imagen / Gemini Image: questions
- Which has better documentation, Black Forest Labs (FLUX) or Google Imagen / Gemini Image?
- Google Imagen / Gemini Image scores higher on documentation and developer experience: 88 vs 72 out of 100.
- Which is more reliable, Black Forest Labs (FLUX) or Google Imagen / Gemini Image?
- Google Imagen / Gemini Image scores higher on reliability: 95 vs 66 out of 100.
- Do Black Forest Labs (FLUX) and Google Imagen / Gemini Image have a free tier?
- Black Forest Labs (FLUX): no free tier. Google Imagen / Gemini Image: yes (Free AI Studio key + limited free tier).
- How are Black Forest Labs (FLUX) and Google Imagen / Gemini Image priced?
- Black Forest Labs (FLUX): Per megapixel, credit-based ($0.015-0.07/MP). Google Imagen / Gemini Image: Per image / per token ($0.02-0.15).
- Which has more official SDKs?
- Google Imagen / Gemini Image lists 10 official SDKs, Black Forest Labs (FLUX) lists 7.
Other Image Generation comparisons
Google Imagen / Gemini Image vs OpenAI Images (gpt-image)Black Forest Labs (FLUX) vs OpenAI Images (gpt-image)fal.ai vs Google Imagen / Gemini ImageGoogle Imagen / Gemini Image vs ReplicateGoogle Imagen / Gemini Image vs Stability AIGoogle Imagen / Gemini Image vs IdeogramBlack Forest Labs (FLUX) vs fal.aiBlack Forest Labs (FLUX) vs Replicate