Every model, compared on what's checkable.
Context window, maximum output, what each model accepts and what it costs per million tokens. The ones you can use in StickyPrompts are marked, and the wider market sits beside them for comparison. There is no quality score, because that is a measurement rather than a fact. We point you to the people who run those tests instead.
Filter it down to the shortlist.
The table opens on the models in StickyPrompts. Switch that off to see the whole market, search by name, provider or API id, and sort by price or context. Every row links to the model's own page.
| Model | Provider | Context | Max out | $ / 1M in | $ / 1M out | Takes | Released |
|---|---|---|---|---|---|---|---|
| Claude Sonnet 5.5In app | Anthropic | 1M | 128K | 2 | 10 | imgfile | Sept 26 |
| GPT-6 LunaIn app | OpenAI | 1.05M | 128K | 0.1 | 0.5 | imgfile | Sept 26 |
| GPT-6 SolIn app | OpenAI | 1.05M | 128K | 2 | 10 | imgfile | Sept 26 |
| Claude Opus 5.5In app | Anthropic | 1M | 128K | 4 | 20 | imgfile | Sept 26 |
| MiMo-V2.6-FlashIn app | Xiaomi | 1.05M | 131K | 0.14 | 0.28 | imgaudvid | Sept 26 |
| MiMo-V2.6-ProIn app | Xiaomi | 1.05M | 131K | 0.435 | 0.87 | imgaudvid | Sept 26 |
| Grok 4.7In app | xAI | 500K | 450K | 2 | 6 | imgfile | Sept 26 |
| GPT-6 AstraIn app | OpenAI | 1.05M | 128K | 10 | 50 | imgfile | Sept 26 |
| Gemini 3.8 FlashIn app | 1.05M | 66K | 0.75 | 3.75 | imgaudvidfile | Sept 26 | |
| Claude Fable 5.1In app | Anthropic | 1M | 128K | 10 | 50 | imgfile | Sept 26 |
| Qwen3.8 FlashIn app | Alibaba (Qwen) | 1M | 131K | 0.15 | 0.47 | imgvid | Aug 26 |
| Gemini 3.7 FlashIn app | 1.05M | 66K | 0.75 | 3.75 | imgaudvidfile | Aug 26 | |
| Muse Glimmer 30BIn app | Meta | 131K | 16K | 0.3 | 1.2 | img | Aug 26 |
| DeepSeek V4 Flash 0731In app | DeepSeek | 1.31M | 944K | 0.018 | 0.32 | text | Jul 26 |
| Claude Opus 5In app | Anthropic | 1M | 128K | 5 | 25 | imgfile | Jul 26 |
| Gemini 3.6 FlashIn app | 1.05M | 66K | 0.75 | 3.75 | imgaudvidfile | Jul 26 | |
| Kimi K3In app | Moonshot AI | 1.05M | 944K | 3 | 15 | imgvid | Jul 26 |
| GPT-5.6 LunaIn app | OpenAI | 1.05M | 128K | 0.2 | 1.2 | imgfile | Jul 26 |
| GPT-5.6 TerraIn app | OpenAI | 1.05M | 128K | 2 | 12 | imgfile | Jul 26 |
| GPT-5.6 SolIn app | OpenAI | 1.05M | 128K | 2 | 10 | imgfile | Jul 26 |
| Claude Sonnet 5In app | Anthropic | 1M | 128K | 2 | 10 | imgfile | Jun 26 |
| GLM 5.2In app | Z.ai | 1.05M | 944K | 0.325 | 4.4 | text | Jun 26 |
| Kimi K2.7 CodeIn app | Moonshot AI | 262K | 236K | 0.656 | 3.3 | img | Jun 26 |
| Claude Fable 5In app | Anthropic | 1M | 128K | 10 | 50 | imgfile | Jun 26 |
| Qwen3.7 PlusIn app | Alibaba (Qwen) | 1M | 131K | 0.32 | 1.28 | img | Jun 26 |
| MiniMax M3In app | MiniMax | 1.05M | 512K | 0.3 | 1.2 | imgvid | May 26 |
| Claude Opus 4.8In app | Anthropic | 1M | 128K | 5 | 25 | imgfile | May 26 |
| Qwen3.7 MaxIn app | Alibaba (Qwen) | 1M | 131K | 1.48 | 4.43 | text | May 26 |
| Gemini 3.5 FlashIn app | 1.05M | 66K | 1.5 | 9 | imgaudvidfile | May 26 | |
| GPT-5.5 ProIn app | OpenAI | 1.05M | 128K | 30 | 180 | imgfile | Apr 26 |
| GPT-5.5In app | OpenAI | 1.05M | 128K | 5 | 30 | imgfile | Apr 26 |
| MiMo-V2.5-ProIn app | Xiaomi | 1.05M | 131K | 0.435 | 0.87 | text | Apr 26 |
| MiMo-V2.5In app | Xiaomi | 1.05M | 131K | 0.14 | 0.28 | imgaudvid | Apr 26 |
| Claude Opus 4.7In app | Anthropic | 1M | 128K | 5 | 25 | imgfile | Apr 26 |
| Gemma 4 31BIn app | 262K | 16K | 0.09 | 0.34 | imgvid | Apr 26 | |
| Qwen3.6 PlusIn app | Alibaba (Qwen) | 1M | 66K | 0.325 | 1.95 | imgvid | Apr 26 |
| GPT-5.4 NanoIn app | OpenAI | 400K | 128K | 0.2 | 1.25 | imgfile | Mar 26 |
| GPT-5.4 MiniIn app | OpenAI | 400K | 128K | 0.75 | 4.5 | imgfile | Mar 26 |
| Qwen3.5-9BIn app | Alibaba (Qwen) | 262K | 33K | 0.1 | 0.15 | imgvid | Mar 26 |
| GPT-5.4 ProIn app | OpenAI | 1.05M | 128K | 30 | 180 | imgfile | Mar 26 |
| GPT-5.4In app | OpenAI | 1.05M | 128K | 2.5 | 15 | imgfile | Mar 26 |
| Claude Sonnet 4.6In app | Anthropic | 1M | 128K | 3 | 15 | imgfile | Feb 26 |
| Claude Opus 4.6In app | Anthropic | 1M | 128K | 5 | 25 | imgfile | Feb 26 |
| GPT-5.2 ProIn app | OpenAI | 400K | 128K | 21 | 168 | imgfile | Dec 25 |
| GPT-5.2In app | OpenAI | 400K | 128K | 1.75 | 14 | imgfile | Dec 25 |
| Claude Opus 4.5In app | Anthropic | 200K | 64K | 5 | 25 | imgfile | Nov 25 |
| GPT-5.1In app | OpenAI | 400K | 128K | 1.25 | 10 | imgfile | Nov 25 |
| Claude Haiku 4.5In app | Anthropic | 200K | 64K | 1 | 5 | imgfile | Oct 25 |
| Claude Sonnet 4.5In app | Anthropic | 1M | 64K | 3 | 15 | imgfile | Sept 25 |
| GPT-5In app | OpenAI | 400K | 128K | 1.25 | 10 | imgfile | Aug 25 |
| GPT-5 MiniIn app | OpenAI | 400K | 128K | 0.25 | 2 | imgfile | Aug 25 |
| GPT-5 NanoIn app | OpenAI | 400K | 128K | 0.05 | 0.4 | imgfile | Aug 25 |
| gpt-oss-120bIn app | OpenAI | 131K | 66K | 0.15 | 0.6 | text | Aug 25 |
| gpt-oss-20bIn app | OpenAI | 131K | 33K | 0.018 | 0.09 | text | Aug 25 |
| Gemini 2.5 Flash LiteIn app | 1.05M | 66K | 0.1 | 0.4 | imgaudvidfile | Jul 25 | |
| Gemini 2.5 FlashIn app | 1.05M | 66K | 0.3 | 2.5 | imgaudvidfile | Jun 25 | |
| Gemini 2.5 ProIn app | 1.05M | 66K | 1.25 | 10 | imgaudvidfile | Jun 25 | |
| o3 ProIn app | OpenAI | 200K | 100K | 20 | 80 | imgfile | Jun 25 |
| GPT-4o-miniIn app | OpenAI | 128K | 16K | 0.15 | 0.6 | imgfile | Jul 24 |
| Mistral LargeIn app | Mistral | 128K | 102K | 2 | 6 | file | Feb 24 |
Synced 29 Sept 2026 from the OpenRouter public model catalogue. Cheapest input right now is Granite 4.0 Micro at $0.017 per 1M; newest is Claude Sonnet 5.5, released 28 Sept 2026. Prices change without notice - check the provider before you commit to one.
What people ask about this list.
Which of these can we actually use in StickyPrompts?
The ones marked "In app". The table opens filtered to them, matched by name against the StickyPrompts model selector on 29 Sept 2026. The rest of the list is the wider market, kept here so you can compare specs before you ask us for a model. Your admins can narrow the list further with Model & Provider Access, so your own workspace shows the intersection of the two.
Why is there no quality or speed score?
Because we would have to make it up. A quality index is a measurement: somebody has to run the evals, publish the methodology and stand behind the numbers. Artificial Analysis and ModelBeacon do exactly that, and they are the right places to look. What we can tell you honestly is what each model costs, how much context it holds and what it accepts, with a date on it.
How current are these numbers?
They were synced on 29 Sept 2026 from the OpenRouter public model catalogue, and that date is the real one, not a rolling "updated today". Providers change prices and retire checkpoints with little notice, so treat this as a shortlist tool and check the provider's own documentation before you sign anything.
Some models in the app are not in this table. Why?
The table comes from a public aggregator, and a few models we serve are not listed there, or are listed under a different name. Image and video models are not in it at all: Veo, Kling, Seedance, Runway and FLUX live on the image and video pages instead. The model selector inside the app is always the final word.
Can we restrict which models our teams use?
Yes. Admins allow or block each provider in Model & Provider Access, or limit it to specific teams. If you require EU-served inference or zero data retention, models that cannot meet it are greyed out of the catalogue automatically.
Pick the task. Pick the model.
Start free with a $5 trial balance. Choose a model per chat, or let auto select pick for quality, balance or speed, within the providers your admins allow.