The short answer: there is no single best model — pick by the job. For pure quality, use OpenAI's GPT Image 2, which sits at #1 on the Artificial Analysis text-to-image leaderboard but costs about $0.21 per high-quality image. For the best value in a real product, use Google's Nano Banana 2 (Gemini 3.1 Flash Image) at roughly $0.067 per image — about a third of the cost, near-top quality, and top-two for editing. If you need open weights to self-host or ship, use FLUX.2. One clarification first, because it will save you money and confusion: the thing people search for as an "LLM for image generation" is not a language model at all — it's a diffusion or multimodal image model. Here's the full pick-by-use-case.
The leaderboard, in one screen (September 2026)#
The Artificial Analysis Image Arena ranks models by Elo from blind human votes. As of September 2026 the text-to-image top five is:
- GPT Image 2 (high) — OpenAI. Best prompt adherence, photorealism, and text rendering.
- MAI-Image-2.6 — Microsoft. Also the editing leader.
- Reve 2.1.
- Nano Banana 2 (Gemini 3.1 Flash Image) — Google. The best quality-per-dollar of the group.
- Muse Image — Meta.
Two things founders miss when they read this list top-down. First, the #1 text-to-image model is not the #1 editing model — GPT Image 2 leads generation but drops to mid-pack for editing, where Microsoft's MAI-Image-2.6 and Google's Nano Banana trade the top spot. If your product edits images (inpainting, consistent-character edits, localized changes) rather than generating them from scratch, you should be shopping the editing board, not this one. Second, rank does not track price — the #4 model costs a third of the #1, and for most products that tradeoff is the whole decision.
Pick by the job#
Best overall quality — GPT Image 2
OpenAI's GPT Image 2 is the one to reach for when the output quality is the product: best-in-class prompt adherence, photorealism, and — finally — reliable text inside the image. The cost is real: about $0.21 per high-quality image via the API, and it is the slowest of the top tier. It is API-only and proprietary. Use it for the requests where a better image is worth 3x the price, not as the default you route every generation to.
Best value and best default — Nano Banana 2
For most founders shipping an image feature, Google's Nano Banana 2 (the consumer name for Gemini 3.1 Flash Image) is the smart default: near-top generation quality, top-two editing, and about $0.067 per image — roughly a third of GPT Image 2's cost. It's the default image model across the Gemini API, Vertex AI and AI Studio, so the tooling is mature. If you need 4K output or the very best text-in-image, step up to Nano Banana Pro (Gemini 3 Pro Image) at about $0.13 per 2K image. This is the same "the workhorse tier is where the economics live" logic we walk through for text models in the agent model price map — and Google's broader Flash push this week, in Gemini 3.8 Flash, is the same strategy on the language side.
Best open weights — FLUX.2
If you want to self-host, run offline, or avoid per-call API costs entirely, Black Forest Labs' FLUX.2 is the leader on photorealism and value among openly deployable models. Mind the licensing: the klein-4B variant is Apache 2.0 (fully commercial-friendly), while the flagship 32B dev checkpoint is open under a non-commercial license — so check the specific variant before you ship. API tiers run about $0.014-0.07 per image, or free if you host it yourself. For maximally permissive licensing, Alibaba's Qwen-Image is Apache 2.0; for the strongest open realism if you can host a large model, Tencent's HunyuanImage 3.0 (~80B MoE) is the pick. Self-hosting an image model is the same tradeoff as running a local LLM for coding: you trade convenience for a per-image cost nobody can reprice, and you own the GPU bill instead of an API invoice.
The specialists
- Cheap and fast, strong editing — ByteDance Seedream 4.5 at ~$0.04/image: the value pick when speed and edit consistency matter more than the last few points of quality.
- Best aesthetics — Midjourney V8.2: still the best cinematic, art-directed look, but subscription-only ($10-120/mo) with no official production API — great for hand-crafted brand work, risky as a product dependency.
- Text-in-image / typography — Ideogram 3.0: the specialist for logos, posters and signage, with claimed ~90% text accuracy.
- Legally safest — Adobe Firefly Image Model 5: trained on licensed content with IP indemnification, the pick when an enterprise buyer's legal team is in the room.
- Vector / SVG — Recraft V4.1: prompt-to-SVG with editable layers, for logos, icons and design-system assets.
What to actually do#
For most products, start with Nano Banana 2 as the default and add GPT Image 2 as a quality-tier fallback for the requests that need it. If editing is your core loop, benchmark MAI-Image-2.6 against Nano Banana on your images before choosing. If licensing or offline operation matters, self-host FLUX.2 klein-4B. And whatever you pick, put it behind a thin provider-agnostic layer with a fallback chain — image-model rankings and prices are moving monthly, and the founders who win the next price shift are the ones for whom switching a model is a config change, not a rewrite. We laid out exactly that pattern in the image-generation fallback chain, and the fast-moving field is why: even since our FLUX omni-model and Nano Banana pieces, the leaderboard order has changed again.
Rankings reflect the Artificial Analysis Image Arena text-to-image and editing leaderboards as of September 2026; Elo order shifts as new models are added, so treat the ranking as a snapshot and pull the live board on your evaluation date. Per-image prices are reported list figures converted to a per-image basis for comparison and vary by resolution, quality tier and provider — confirm against each vendor's own pricing page before committing. Licenses differ by variant within a model family; verify the specific checkpoint's license before commercial use.
