OpenRouter Lists 'GPT Sol Latest' — An Alias Pointer to OpenAI's Newest Sol-Family Model, Not a Standalone Release
OpenRouter has added a listing called '~openai/gpt-sol-latest,' described as an alias that always points to the newest model in an undisclosed 'GPT Sol' family from OpenAI. The listing shows a 1050K token context window and pricing of $2.00 per million input tokens and $10.00 per million output tokens, but OpenAI has not publicly confirmed a model line by this name.
What was listed
OpenRouter has published a new entry, ~openai/gpt-sol-latest, describing it as a model that "always redirects to the latest model in the OpenAI GPT Sol family." The listing specifies a 1,050,000-token context window, input/output modality of text, image, and file to text, and pricing of $2.00 per million input tokens and $10.00 per million output tokens.
The naming convention — a tilde prefix combined with the word "latest" — mirrors how OpenRouter tags routing aliases for other providers: a pointer that resolves to whatever the current production checkpoint is, rather than a fixed, versioned model with its own permanent identifier. OpenAI has not issued a public announcement, blog post, or documentation referencing a "GPT Sol" model family as of this writing.
What we know and don't know
Confirmed from the OpenRouter listing:
- Context window: 1,050,000 tokens
- Pricing: $2.00/M input tokens, $10.00/M output tokens
- Modality: text, image, and file input; text output
- Access: available now via OpenRouter's API under the identifier
~openai/gpt-sol-latest
Unverified or undisclosed:
- Parameter count
- Training data cutoff date
- Benchmark scores (MMLU, HumanEval, or others)
- Official OpenAI naming, positioning, or announcement
- Whether "Sol" refers to a new model line, an internal codename, or a mislabeled variant of an existing OpenAI model
Because OpenAI has not corroborated the existence of a "GPT Sol" family through its own channels, the details here should be treated as third-party listing information from OpenRouter, not confirmed OpenAI product specifications.
Why the 1050K context window stands out
If accurate, a 1.05-million-token context window would place this model among the largest-context offerings available through OpenRouter, exceeding the 1-million-token window OpenAI introduced with GPT-4.1 and edging past Google's Gemini 1.5 Pro at the same round number. Combined with image and file input support, the specs suggest a multimodal long-context model aimed at document-heavy and codebase-scale use cases. Without benchmark data, though, it's impossible to assess how the model performs against competitors at that context length.
What this means
This is a listing event, not a confirmed product launch. The "latest" alias structure means OpenRouter customers calling ~openai/gpt-sol-latest will get routed to whatever checkpoint OpenAI currently designates as current for this family — the underlying model can change without a new version string appearing. That makes it useful for developers who want to always target OpenAI's newest offering in this line without updating API calls, but it also means the specs listed today (context window, pricing) could shift silently as OpenAI updates the backing model. Until OpenAI directly confirms the GPT Sol name and publishes model documentation, treat this listing as provisional. Developers evaluating it for production use should pin to a dated snapshot, if one becomes available, rather than the floating alias.
Related Articles
Unbiased releases Pareto 26.9: 262K-context composite model at $2.50/$7.50 per 1M tokens
Unbiased has released Pareto 26.9, a multimodal composite model with a 262K-token context window, priced at $2.50 per 1M input tokens and $7.50 per 1M output tokens. It is listed on OpenRouter with a Oct 13, 2026 release date. A cheaper 1.0M-context preview, Pareto 26.10, is already listed alongside it.
ScaleDown launches Summarize, a 1M-context abstractive summarization model at $0.04 per 1M input tokens on OpenRouter
ScaleDown has released Summarize, an abstractive summarization model with a 1M-token context window, listed on OpenRouter on October 13, 2026. OpenRouter shows $0.04 per 1M input tokens (20% off the $0.05 list price) and $0 per 1M output tokens. Parameter count and benchmark scores have not been disclosed.
StepFun releases Step 5 Preview: 600B MoE with 1M context at $1/$2.70 per 1M tokens
StepFun has listed Step 5 Preview, a sparse Mixture-of-Experts model with 600B total and 27B active parameters and a 1.0M-token context window. It is priced at $1 input and $2.70 output per 1M tokens on OpenRouter. StepFun positions it as its flagship model for agentic work.
OpenBMB releases MiniCPM-V 4.7 1B, an on-device vision model with 4x/16x visual token compression
OpenBMB has released MiniCPM-V 4.7 1B, a 1B-parameter multimodal model for single-image, multi-image and video understanding on phones, tablets and local hardware. OpenBMB claims it substantially outperforms Qwen3.5 0.8B in overall score and inference efficiency in Instruct mode. Benchmark figures, context window and training cutoff are not given in the available model card text.
Comments
Loading...