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Model comparison
GPT-6 Astra vs Inkling
Compare GPT-6 Astra and Inkling using the same provider-sourced text & reasoning rubric. No mystery score and no invented benchmark ranking.
Facts checked September 4, 2026
Estimate your cost
Set your usage. Your estimate updates as you type.
Example: 6,000 input tokens for 10 pages, plus a 500-token summary. Page lengths vary; adjust the numbers below.
One run sends your input to the model once and receives an answer. Tokens are pieces of text: input is what you send, output is the answer you receive.
Advanced options
How this estimate works
Estimates exclude taxes, tools, cache storage/writes, free allowances and custom discounts. Image estimates cover output only, not prompt or reference-image charges. Quality modes differ by model. Unlisted settings are not treated as free.
| Model | Access | Estimated total (USD) |
|---|---|---|
| GPT-6 AstraOpenAI | OpenAI | $0.085 |
| InklingThinking Machines Lab | Thinking Machines Lab | No reviewed rate |
Quick take
GPT-6 Astra
OpenAI's most capable model for difficult end-to-end work, combining frontier reasoning with a million-token context window and a broad set of agent tools.
Best for
- Complex, long-running agent workflows
- Repository-scale coding and computer use
- Research and document creation with several tools
Watch out for
Access is still rolling out, fine-tuning is not supported, and requests above 272K input tokens use higher rates across the full request. Confirm access and measure total task cost before standardizing on Astra.
Inkling
Thinking Machines Lab's large open-weights model for customizable reasoning, coding, tools, vision, and audio workflows.
Best for
- Teams that want an adaptable open-weight foundation model
- Agentic coding and tool-use experiments
- Private or specialized deployments with multimodal inputs
Watch out for
A 975B model is a serious serving project even with sparse activation. Compare the exact hosted or self-hosted route, and do not assume the model's 1M maximum context is available on every provider.
Compare the published facts
GPT-6 Astra vs Inkling
Values use each provider's own published units and limits. A blank means the provider did not publish a directly comparable value in the sources reviewed.
| Text & reasoning | GPT-6 Astra | Inkling |
|---|---|---|
| Context windowMaximum combined prompt and working context documented by the provider. | 1.05M tokens | Up to 1M tokens; Tinker offers 64K and 256K |
| Maximum outputProvider-published response limit, where available. | 128K tokens | Not separately published |
| Knowledge cutoffLatest reliable knowledge date explicitly published by the model provider. Search and connected tools can retrieve newer information but do not change the model's built-in cutoff. | April 30, 2026 | Not published |
| Input priceCurrent standard list price per million input tokens unless noted. | $10 / 1M | Hosting dependent |
| Output priceCurrent standard list price per million output tokens unless noted. | $50 / 1M | Hosting dependent |
| InputsMedia types accepted by the listed model endpoint. | Text, image | Text, image, audio |
| Tools & agentsSelected native tools and agent-building capabilities, not an exhaustive list. | Functions, search, code, computer, image, MCP | Agentic coding, tools, Python-assisted vision, controllable thinking |
How to choose
Compare the job, not the hype.
Start with the job you need to complete, then validate cost, access, and policy details on your exact provider route.
GPT-6 Astra
OpenAI says API content is not used for model training by default. Standard abuse-monitoring logs may be retained for up to 30 days, with additional controls available to qualifying organizations.
Provider and API links
Inkling
The open weights can be self-hosted so request data stays in infrastructure you control. Tinker and partner-hosted routes have separate retention and training-use terms that must be checked with the selected provider.
Frequently asked questions
GPT-6 Astra vs Inkling FAQ
What is the main difference between GPT-6 Astra and Inkling?
GPT-6 Astra: OpenAI's most capable model for difficult end-to-end work, combining frontier reasoning with a million-token context window and a broad set of agent tools. Inkling: Thinking Machines Lab's large open-weights model for customizable reasoning, coding, tools, vision, and audio workflows.
Should I choose GPT-6 Astra or Inkling?
Consider GPT-6 Astra when your priority is Complex, long-running agent workflows. Consider Inkling when your priority is Teams that want an adaptable open-weight foundation model. Test both with your own data and provider route before committing.
Is this GPT-6 Astra vs Inkling comparison based on Cody benchmarks?
No. This comparison aligns provider-published facts for the Text & reasoning category. It does not claim a universal winner or combine incompatible third-party benchmark scores.