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Model comparison
Grok 4.6 vs Celeris-1 Magnus
Compare Grok 4.6 and Celeris-1 Magnus using the same provider-sourced text & reasoning rubric. No mystery score and no invented benchmark ranking.
Facts checked September 4, 2026
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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) |
|---|---|---|
| Celeris-1 MagnusCeleris | Celeris | No reviewed rate |
| Grok 4.6SpaceXAI | SpaceXAI | No reviewed rate |
Quick take
Grok 4.6
SpaceXAI's frontier text-and-image model for coding, agentic tasks, and knowledge work, with direct web, X, and code tools.
Best for
- Coding agents with live web or X context
- Tool-heavy knowledge workflows
- Teams already building on OpenAI-compatible APIs
Watch out for
Published regions are narrower than a generic 'global' label, and the base token rate doubles for long-context requests.
Celeris-1 Magnus
Celeris' agent-focused diffusion language model for fast reasoning, tool loops, structured actions, and OpenAI-compatible integration.
Best for
- Low-latency tool-using agents
- Structured extraction and action workflows
- Teams migrating an OpenAI-compatible client
Watch out for
The public price page labels Celeris-1 rather than Magnus, and the service remains early. Confirm Magnus billing, capacity, support, data retention, and a production SLA directly.
Compare the published facts
Grok 4.6 vs Celeris-1 Magnus
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 | Grok 4.6 | Celeris-1 Magnus |
|---|---|---|
| Context windowMaximum combined prompt and working context documented by the provider. | 500K tokens | 131,072 tokens combined |
| Maximum outputProvider-published response limit, where available. | No published text cap | Any positive limit within the combined context |
| 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. | January 2026 | Not published |
| Input priceCurrent standard list price per million input tokens unless noted. | $2 / 1M | $0.20 / 1M listed family rate; verify Magnus |
| Output priceCurrent standard list price per million output tokens unless noted. | $6 / 1M | $0.70 / 1M listed family rate; verify Magnus |
| InputsMedia types accepted by the listed model endpoint. | Text, image | Text; image content parts supported by the API |
| Tools & agentsSelected native tools and agent-building capabilities, not an exhaustive list. | Functions, web/X search, code execution | Tools, JSON schema, reasoning low/medium/xhigh |
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.
Grok 4.6
SpaceXAI says API inputs and outputs are never used for training without explicit permission. Requests are encrypted and retained for 30 days by default; team-level zero data retention is available with feature tradeoffs.
Provider and API links
Celeris-1 Magnus
Celeris says API inputs and outputs are processed to provide the service and monitor abuse and reliability. Its public notice does not give one fixed content-retention period or no-training promise; enterprise VPC options are available.
Provider and API links
Frequently asked questions
Grok 4.6 vs Celeris-1 Magnus FAQ
What is the main difference between Grok 4.6 and Celeris-1 Magnus?
Grok 4.6: SpaceXAI's frontier text-and-image model for coding, agentic tasks, and knowledge work, with direct web, X, and code tools. Celeris-1 Magnus: Celeris' agent-focused diffusion language model for fast reasoning, tool loops, structured actions, and OpenAI-compatible integration.
Should I choose Grok 4.6 or Celeris-1 Magnus?
Consider Grok 4.6 when your priority is Coding agents with live web or X context. Consider Celeris-1 Magnus when your priority is Low-latency tool-using agents. Test both with your own data and provider route before committing.
Is this Grok 4.6 vs Celeris-1 Magnus 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.