Model comparison
Compare Celeris-1 Magnus and DeepSeek-V4-Pro using the same provider-sourced text & reasoning rubric. No mystery score and no invented benchmark ranking.
Facts checked September 4, 2026
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.
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 |
| DeepSeek-V4-ProDeepSeek | DeepSeek | No reviewed rate |
Quick take
Celeris' agent-focused diffusion language model for fast reasoning, tool loops, structured actions, and OpenAI-compatible integration.
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.
DeepSeek's flagship million-context text model for difficult reasoning, coding, long-running agents, tools, and very large outputs.
The provider does not publish a knowledge cutoff or a universal speed measure. Review jurisdiction, account eligibility, cache behavior, data terms, and the full reasoning-output cost before sending sensitive workloads.
Compare the published facts
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 | Celeris-1 Magnus | DeepSeek-V4-Pro |
|---|---|---|
| Context windowMaximum combined prompt and working context documented by the provider. | 131,072 tokens combined | 1M tokens |
| Maximum outputProvider-published response limit, where available. | Any positive limit within the combined context | Up to 384K tokens |
| 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. | Not published | Not published |
| Input priceCurrent standard list price per million input tokens unless noted. | $0.20 / 1M listed family rate; verify Magnus | $1.32 / 1M peak uncached; $0.66 off-peak |
| Output priceCurrent standard list price per million output tokens unless noted. | $0.70 / 1M listed family rate; verify Magnus | $3.96 / 1M peak; $1.98 off-peak |
| InputsMedia types accepted by the listed model endpoint. | Text; image content parts supported by the API | Text |
| Tools & agentsSelected native tools and agent-building capabilities, not an exhaustive list. | Tools, JSON schema, reasoning low/medium/xhigh | Tools, JSON output, Responses API, thinking effort, FIM beta |
How to choose
Start with the job you need to complete, then validate cost, access, and policy details on your exact provider route.
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
DeepSeek documents its Responses API as stateless and says responses and conversations are not stored by that endpoint. This is not a complete account-wide retention or training-use promise; review current platform terms and automatic cache behavior for sensitive data.
Provider and API links
Frequently asked questions
Celeris-1 Magnus: Celeris' agent-focused diffusion language model for fast reasoning, tool loops, structured actions, and OpenAI-compatible integration. DeepSeek-V4-Pro: DeepSeek's flagship million-context text model for difficult reasoning, coding, long-running agents, tools, and very large outputs.
Consider Celeris-1 Magnus when your priority is Low-latency tool-using agents. Consider DeepSeek-V4-Pro when your priority is Complex coding and tool-using agents. Test both with your own data and provider route before committing.
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.
