OpenAI models
OpenAI ships the GPT line, the most widely used family of AI models in the world. Zeplik leads with GPT-6 Astra and its deeper Astra Pro serving, and now carries the rest of the GPT-6 generation beneath it: GPT-6 Sol for demanding professional work and GPT-6 Luna for high-volume, latency-sensitive work, each with a Pro serving and each on the same 1M-token window as Astra. Behind them sit the GPT-5.6 tiers (Sol, Luna and Terra), GPT-5 and GPT-4 era releases, mini and nano tiers for fast inexpensive work, the Codex models for software engineering, GPT Audio for speech, and the GPT Image models for generation and editing.
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All 71 OpenAI models
GPT-6.1 Terra Pro is the same underlying model as [GPT-6.1 Terra](https://openrouter.ai/openai/gpt-6.1-terra), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks.
GPT-6.1 Terra is the mid-tier model in OpenAI's GPT-6.1 series, priced below GPT-6.1 Sol.
GPT-6.1 Sol Pro is the same underlying model as [GPT-6.1 Sol](https://openrouter.ai/openai/gpt-6.1-sol), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks.
GPT-6.1 Sol is an upgrade to GPT-6 Sol from OpenAI, positioned below the flagship GPT-6 Astra in the GPT-6 series.
GPT-6 Luna Pro is the same underlying model as [GPT-6 Luna](https://openrouter.ai/openai/gpt-6-luna), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks. Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode
GPT-6 Luna Pro is the same underlying model as [GPT-6 Luna](https://openrouter.ai/openai/gpt-6-luna), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks. Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode
GPT-6 Luna is the fast, cost-efficient model in OpenAI's GPT-6 series, positioned below GPT-6 Sol.
GPT-6 Luna is the fast, cost-efficient model in OpenAI's GPT-6 series, positioned below GPT-6 Sol.
GPT-6 Sol Pro is the same underlying model as [GPT-6 Sol](https://openrouter.ai/openai/gpt-6-sol), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks. Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode
GPT-6 Sol Pro is the same underlying model as [GPT-6 Sol](https://openrouter.ai/openai/gpt-6-sol), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks. Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode
GPT-6 Sol is the cost-efficient high-end model in OpenAI's GPT-6 series, positioned below the flagship GPT-6 Astra and above the fast GPT-6 Luna tier.
GPT-6 Sol is the cost-efficient high-end model in OpenAI's GPT-6 series, positioned below the flagship GPT-6 Astra and above the fast GPT-6 Luna tier.
GPT-6 Astra is OpenAI's flagship model for demanding end-to-end work.
GPT-6 Astra is OpenAI's flagship model for demanding end-to-end work.
GPT-6 Astra Pro is the same underlying model as [GPT-6 Astra](https://openrouter.ai/openai/gpt-6-astra), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks. Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode
GPT-6 Astra Pro is the same underlying model as [GPT-6 Astra](https://openrouter.ai/openai/gpt-6-astra), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks. Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode
GPT-5.6 Luna Pro is the same underlying model as [GPT-5.6 Luna](https://openrouter.ai/openai/gpt-5.6-luna), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks. Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode
GPT-5.6 Luna Pro is the same underlying model as [GPT-5.6 Luna](https://openrouter.ai/openai/gpt-5.6-luna), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks. Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode
GPT-5.6 Luna is a fast, cost-efficient model in OpenAI's GPT-5.6 series.
GPT-5.6 Luna is a fast, cost-efficient model in OpenAI's GPT-5.6 series.
GPT-5.6 Terra Pro is the same underlying model as [GPT-5.6 Terra](https://openrouter.ai/openai/gpt-5.6-terra), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks. Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode
GPT-5.6 Terra Pro is the same underlying model as [GPT-5.6 Terra](https://openrouter.ai/openai/gpt-5.6-terra), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks. Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode
GPT-5.6 Terra is a balanced model in OpenAI's GPT-5.6 series, positioned between the flagship Sol tier and the cost-efficient Luna tier.
GPT-5.6 Terra is a balanced model in OpenAI's GPT-5.6 series, positioned between the flagship Sol tier and the cost-efficient Luna tier.
GPT-5.6 Sol Pro is the same underlying model as [GPT-5.6 Sol](https://openrouter.ai/openai/gpt-5.6-sol), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks. Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode
GPT-5.6 Sol Pro is the same underlying model as [GPT-5.6 Sol](https://openrouter.ai/openai/gpt-5.6-sol), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks. Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode
GPT-5.6 Sol is the flagship model in OpenAI's GPT-5.6 series.
GPT-5.6 Sol is the flagship model in OpenAI's GPT-5.6 series.
GPT-5.5 Pro is OpenAI’s high-capability model optimized for deep reasoning and accuracy on complex, high-stakes workloads.
GPT-5.5 is OpenAI’s frontier model designed for complex professional workloads, building on GPT-5.4 with stronger reasoning, higher reliability, and improved token efficiency on hard tasks.
[GPT-5.4](https://openrouter.ai/openai/gpt-5.4) Image 2 combines OpenAI's GPT-5.4 model with state-of-the-art image generation capabilities from GPT Image 2.
GPT-5.4 nano is the most lightweight and cost-efficient variant of the GPT-5.4 family, optimized for speed-critical and high-volume tasks.
GPT-5.4 mini brings the core capabilities of GPT-5.4 to a faster, more efficient model optimized for high-throughput workloads.
GPT-5.4 Pro is OpenAI's most advanced model, building on GPT-5.4's unified architecture with enhanced reasoning capabilities for complex, high-stakes tasks.
GPT-5.4 is OpenAI’s latest frontier model, unifying the Codex and GPT lines into a single system.
GPT-5.3-Codex is OpenAI’s most advanced agentic coding model, combining the frontier software engineering performance of GPT-5.2-Codex with the broader reasoning and professional knowledge capabilities of GPT-5.2.
The gpt-audio model is OpenAI's first generally available audio model. The new snapshot features an upgraded decoder for more natural sounding voices and maintains better voice consistency.
A cost-efficient version of GPT Audio. The new snapshot features an upgraded decoder for more natural sounding voices and maintains better voice consistency.
GPT-5.2-Codex is an upgraded version of GPT-5.1-Codex optimized for software engineering and coding workflows.
GPT-5.2 Pro is OpenAI’s most advanced model, offering major improvements in agentic coding and long context performance over GPT-5 Pro.
GPT-5.2 is the latest frontier-grade model in the GPT-5 series, offering stronger agentic and long context perfomance compared to GPT-5.1.
GPT-5.1-Codex-Max is OpenAI’s latest agentic coding model, designed for long-running, high-context software development tasks.
GPT-5.1 is the latest frontier-grade model in the GPT-5 series, offering stronger general-purpose reasoning, improved instruction adherence, and a more natural conversational style compared to GPT-5.
GPT-5.1-Codex is a specialized version of GPT-5.1 optimized for software engineering and coding workflows.
GPT-5.1-Codex-Mini is a smaller and faster version of GPT-5.1-Codex
gpt-oss-safeguard-20b is a safety reasoning model from OpenAI built upon gpt-oss-20b.
GPT-5 Image Mini combines OpenAI's advanced language capabilities, powered by [GPT-5 Mini](https://openrouter.ai/openai/gpt-5-mini), with GPT Image 1 Mini for efficient image generation.
[GPT-5](https://openrouter.ai/openai/gpt-5) Image combines OpenAI's GPT-5 model with state-of-the-art image generation capabilities.
GPT-5 Pro is OpenAI’s most advanced model, offering major improvements in reasoning, code quality, and user experience.
GPT-5 is OpenAI’s most advanced model, offering major improvements in reasoning, code quality, and user experience.
GPT-5 Mini is a compact version of GPT-5, designed to handle lighter-weight reasoning tasks.
GPT-5-Nano is the smallest and fastest variant in the GPT-5 system, optimized for developer tools, rapid interactions, and ultra-low latency environments.
GPT-5-Nano is the smallest and fastest variant in the GPT-5 system, optimized for developer tools, rapid interactions, and ultra-low latency environments.
gpt-oss-120b is an open-weight, 117B-parameter Mixture-of-Experts (MoE) language model from OpenAI designed for high-reasoning, agentic, and general-purpose production use cases.
gpt-oss-120b is an open-weight, 117B-parameter Mixture-of-Experts (MoE) language model from OpenAI designed for high-reasoning, agentic, and general-purpose production use cases.
gpt-oss-20b is an open-weight 21B parameter model released by OpenAI under the Apache 2.0 license.
gpt-oss-20b is an open-weight 21B parameter model released by OpenAI under the Apache 2.0 license.
The o-series of models are trained with reinforcement learning to think before they answer and perform complex reasoning.
o3 is a well-rounded and powerful model across domains. It sets a new standard for math, science, coding, and visual reasoning tasks.
GPT-4.1 is a flagship large language model optimized for advanced instruction following, real-world software engineering, and long-context reasoning.
GPT-4.1 Mini is a mid-sized model delivering performance competitive with GPT-4o at substantially lower latency and cost.
For tasks that demand low latency, GPT‑4.1 nano is the fastest and cheapest model in the GPT-4.1 series.
The 2024-11-20 version of GPT-4o offers a leveled-up creative writing ability with more natural, engaging, and tailored writing to improve relevance & readability.
The 2024-08-06 version of GPT-4o offers improved performance in structured outputs, with the ability to supply a JSON schema in the respone_format. Read more [here](https://openai.com/index/introducing-structured-outputs-in-the-api/).
GPT-4o mini is OpenAI's newest model after [GPT-4 Omni](/models/openai/gpt-4o), supporting both text and image inputs with text outputs.
GPT-4o mini is OpenAI's newest model after [GPT-4 Omni](/models/openai/gpt-4o), supporting both text and image inputs with text outputs.
GPT-4o ("o" for "omni") is OpenAI's latest AI model, supporting both text and image inputs with text outputs.
GPT-4o ("o" for "omni") is OpenAI's latest AI model, supporting both text and image inputs with text outputs.
GPT-3.5 Turbo is OpenAI's fastest model. It can understand and generate natural language or code, and is optimized for chat and traditional completion tasks. Training data up to Sep 2021.
This model offers four times the context length of gpt-3.5-turbo, allowing it to support approximately 20 pages of text in a single request at a higher cost.
Pricing at a glance
| Model | Context | Input cr/M | Output cr/M | Released |
|---|---|---|---|---|
| GPT-6.1 Terra Pro | 1.1M | 12.0 | 60.0 | October 2026 |
| GPT-6.1 Terra | 1.1M | 12.0 | 60.0 | October 2026 |
| GPT-6.1 Sol Pro | 1.1M | 24.0 | 120 | September 2026 |
| GPT-6.1 Sol | 1.1M | 24.0 | 120 | September 2026 |
| GPT-6 Luna Pro (batch) | 1.1M | 0.60 | 3.0 | September 2026 |
| GPT-6 Luna Pro | 1.1M | 1.2 | 6.0 | September 2026 |
| GPT-6 Luna | 1.1M | 1.2 | 6.0 | September 2026 |
| GPT-6 Luna (batch) | 1.1M | 0.60 | 3.0 | September 2026 |
| GPT-6 Sol Pro (batch) | 1.1M | 12.0 | 60.0 | September 2026 |
| GPT-6 Sol Pro | 1.1M | 24.0 | 120 | September 2026 |
| GPT-6 Sol | 1.1M | 24.0 | 120 | September 2026 |
| GPT-6 Sol (batch) | 1.1M | 12.0 | 60.0 | September 2026 |
| GPT-6 Astra | 1.1M | 120 | 600 | September 2026 |
| GPT-6 Astra (batch) | 1.1M | 60.0 | 300 | September 2026 |
| GPT-6 Astra Pro (batch) | 1.1M | 60.0 | 300 | September 2026 |
| GPT-6 Astra Pro | 1.1M | 120 | 600 | September 2026 |
| GPT-5.6 Luna Pro (batch) | 1.1M | 1.2 | 7.2 | July 2026 |
| GPT-5.6 Luna Pro | 1.1M | 2.4 | 14.4 | July 2026 |
| GPT-5.6 Luna (batch) | 1.1M | 1.2 | 7.2 | July 2026 |
| GPT-5.6 Luna | 1.1M | 2.4 | 14.4 | July 2026 |
| GPT-5.6 Terra Pro (batch) | 1.1M | 12.0 | 72.0 | July 2026 |
| GPT-5.6 Terra Pro | 1.1M | 24.0 | 144 | July 2026 |
| GPT-5.6 Terra (batch) | 1.1M | 12.0 | 72.0 | July 2026 |
| GPT-5.6 Terra | 1.1M | 24.0 | 144 | July 2026 |
| GPT-5.6 Sol Pro | 1.1M | 48.0 | 240 | July 2026 |
| GPT-5.6 Sol Pro (batch) | 1.1M | 24.0 | 120 | July 2026 |
| GPT-5.6 Sol (batch) | 1.1M | 24.0 | 120 | July 2026 |
| GPT-5.6 Sol | 1.1M | 48.0 | 240 | July 2026 |
| GPT-5.5 Pro | 1.1M | 360 | 2160 | April 2026 |
| GPT-5.5 | 1.1M | 60.0 | 360 | April 2026 |
| GPT-5.4 Image 2 | 272K | 96.0 | 180 | April 2026 |
| GPT-5.4 Nano | 400K | 2.4 | 15.0 | March 2026 |
| GPT-5.4 Mini | 400K | 9.0 | 54.0 | March 2026 |
| GPT-5.4 Pro | 1.1M | 360 | 2160 | March 2026 |
| GPT-5.4 | 1.1M | 30.0 | 180 | March 2026 |
| GPT-5.3-Codex | 400K | 21.0 | 168 | February 2026 |
| GPT Audio | 128K | 30.0 | 120 | January 2026 |
| GPT Audio Mini | 128K | 7.2 | 28.8 | January 2026 |
| GPT-5.2-Codex | 400K | 21.0 | 168 | January 2026 |
| GPT-5.2 Pro | 400K | 252 | 2016 | December 2025 |
| GPT-5.2 | 400K | 21.0 | 168 | December 2025 |
| GPT-5.1-Codex-Max | 400K | 15.0 | 120 | December 2025 |
| GPT-5.1 | 400K | 15.0 | 120 | November 2025 |
| GPT-5.1-Codex | 400K | 15.0 | 120 | November 2025 |
| GPT-5.1-Codex-Mini | 400K | 3.0 | 24.0 | November 2025 |
| gpt-oss-safeguard-20b | 131K | 0.90 | 3.6 | October 2025 |
| GPT-5 Image Mini | 400K | 30.0 | 24.0 | October 2025 |
| GPT-5 Image | 400K | 120 | 120 | October 2025 |
| GPT-5 Pro | 400K | 180 | 1440 | October 2025 |
| GPT-5 | 400K | 15.0 | 120 | August 2025 |
| GPT-5 Mini | 400K | 3.0 | 24.0 | August 2025 |
| GPT-5 Nano (batch) | 400K | 0.30 | 2.4 | August 2025 |
| GPT-5 Nano | 400K | 0.60 | 4.8 | August 2025 |
| gpt-oss-120b | 131K | 0.35 | 1.3 | August 2025 |
| gpt-oss-120b (batch) | 131K | 0.36 | 1.6 | August 2025 |
| gpt-oss-20b | 131K | 0.22 | 1.1 | August 2025 |
| gpt-oss-20b (batch) | 131K | 0.29 | 1.3 | August 2025 |
| o3 Pro | 200K | 240 | 960 | June 2025 |
| o3 | 200K | 24.0 | 96.0 | April 2025 |
| GPT-4.1 | 1.0M | 24.0 | 96.0 | April 2025 |
| GPT-4.1 Mini | 1.0M | 4.8 | 19.2 | April 2025 |
| GPT-4.1 Nano | 1.0M | 1.2 | 4.8 | April 2025 |
| GPT-4o (2024-11-20) | 128K | 30.0 | 120 | November 2024 |
| GPT-4o (2024-08-06) | 128K | 30.0 | 120 | August 2024 |
| GPT-4o-mini | 128K | 1.8 | 7.2 | July 2024 |
| GPT-4o-mini (2024-07-18) | 128K | 1.8 | 7.2 | July 2024 |
| GPT-4o (2024-05-13) | 128K | 60.0 | 180 | May 2024 |
| GPT-4o | 128K | 30.0 | 120 | May 2024 |
| GPT-3.5 Turbo (older v0613) | 4K | 12.0 | 24.0 | January 2024 |
| GPT-3.5 Turbo 16k | 16K | 36.0 | 48.0 | August 2023 |
| GPT-4 | 8K | 360 | 720 | May 2023 |
Frequently asked questions
- Which OpenAI models can I use on Zeplik?
- Zeplik carries 71 OpenAI models: GPT-6.1 Terra Pro, GPT-6.1 Terra, GPT-6.1 Sol Pro, GPT-6.1 Sol and GPT-6 Luna Pro (batch), and 66 more. They all run in the same chat, so you do not need a separate OpenAI account or API key.
- How much do OpenAI models cost on Zeplik?
- Output tokens run from 1.1 to 2160 credits per million depending on which OpenAI model you pick (raw provider rates $0.090 to $180.00 per million). 1 credit = $0.10, computed from the raw provider rate with a 1.20x margin.
- Which OpenAI model has the largest context window?
- GPT-6.1 Terra Pro, at 1.1M tokens (1,050,000). The context window covers the conversation plus any documents you attach.
- Do OpenAI models support images and tool calling?
- 61 of the 71 accept image input, and 68 support tool calling.
- Do I need a paid plan to use OpenAI models on Zeplik?
- 1 of the 71 is open to free accounts; the other 70 need a paid plan (Plus or above).
- What is the newest OpenAI model on Zeplik?
- GPT-6.1 Terra Pro, released October 2026. GPT-6.1 Terra Pro is the same underlying model as [GPT-6.1 Terra](https://openrouter.ai/openai/gpt-6.1-terra), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks.
Other providers
- Qwen (41)
- Google (40)
- Mistral (21)
- Z.ai (19)
- Anthropic (18)
- DeepSeek (15)
- Meta (11)
- MoonshotAI (9)
- All models
Explore Zeplik
- 468 AI skillsReady-to-run expert methods that run on any OpenAI model, or any other model you pick.
- 997 integrationsConnect Gmail, Slack, GitHub, Notion and hundreds more so the assistant can work in your apps.
- Simple pricingPlus, Pro and Max plans with a monthly credit allowance that works across every model.