ScientifyCodex fits better when
- Your main work is developing and maintaining code repositories
- You work alongside it in a local IDE or terminal
- You want the agent to run several tasks in parallel and open PRs
- You already have ChatGPT Plus or a higher plan
Scientify fits better when
- You need GPUs for simulation, structure prediction or model training
- You need GROMACS, LAMMPS, ColabFold and other scientific software ready to use
- Tasks run for days, or pause while you wait for an advisor or collaborator to decide
- You need adversarial review of results and several hypotheses explored at once
A dedicated scientific agent for long-horizon exploration
Scientify's scientific agent organizes search strategies around a research goal, attempts to retrieve full-text PDFs, forms hypotheses, writes code, and runs experiments. It advances the next iteration from intermediate results until the project produces research progress or a result. The core agent is open source with 2k+ Stars on Github. Its paper was selected for ICML 2026.
- Literature research
- Organize search strategies, attempt full-text PDF retrieval, and preserve sources and evidence
- Experiments
- Write code, run commands, analyze data, and produce inspectable figures and results
- Cloud execution
- Keep tasks running after the laptop closes and reopen the same workspace from a phone
- Open evidence
- The core agent is open source with 2k+ Stars on Github, and its paper was selected for ICML 2026
Research lifecycle
Both use the same kind of coding agent. They differ in runtime environment, compute and what counts as done.
GPUs and compute
Codex
Locally it uses your own hardware. Codex Cloud documentation does not list GPU support, and Plus cloud VMs have 2 vCPU / 8 GiB.
Scientify
The agent rents GPUs per task after you grant permission, billed per second and released when done. It can also reach your own servers over SSH.
Current finding
Choose Scientify for research computing that needs GPUs.
Scientific software and databases
Codex
Codex Cloud uses the general-purpose codex-universal image; scientific software needs your own setup script.
Scientify
Domain software such as GROMACS, LAMMPS, OpenMM, ColabFold with AlphaFold2 weights and Scanpy, plus common scientific databases, are preinstalled and self-tested on GPUs before delivery.
Current finding
Scientify removes installation and setup the first time you run a new kind of computation.
Persistence and long runs
Codex
Local runs need your computer to stay on. In Codex Cloud each task starts from the environment snapshot, mid-task installs do not carry over, and task state is kept for 7 days.
Scientify
Each user has a long-lived cloud computer that keeps installed dependencies, data and intermediate results. It runs while a task executes and pauses with the state kept when idle.
Current finding
Choose Scientify for projects that run for days or wait on human decisions.
Definition of done and review
Codex
Codex is built for coding tasks, where running code and passing tests are the main signals of completion.
Scientify
It applies the AI Scientist paradigm: mandatory adversarial review checks whether a task is really done, parallel subagents explore several hypotheses, and branches share findings.
Current finding
Choose Scientify when a method's effect is unknown and results need verification.
Models and pricing
Codex
Codex usage is included in ChatGPT plans, from $20/month for Plus. Using it from mainland China requires an overseas account and payment method.
Scientify
Models such as GPT-5.6-sol cost about 30% of standard API pricing, billed by usage, with models and compute on one balance.
Current finding
If you already pay for ChatGPT, keep using Codex for daily development. Choose Scientify for usage-based billing with models and GPUs on one balance.
Pricing and usage
These products use subscriptions, seats, credits, workflow quotas, or product bundles. The table records the main public individual tiers and the limits that affect research work.
Scientify
Executable cloud research agent
Free access
New users get a free cloud computer and $5 worth of credits
Main paid plans
Starter $19/month with 60 credits; Researcher $29 with 100 credits; Professional $99 with 350 credits.
Billing model
1 credit equals $1 of usage at provider API list prices.
Usage and limits
Credits expire after one month and do not roll over. Plans are purchased manually and do not auto-renew.
Codex
OpenAI coding agent
Free access
ChatGPT Free and Go cannot use Codex cloud environments
Main paid plans
ChatGPT Plus from $20/month; higher plans get larger cloud VMs
Billing model
Subscription; Codex usage is included in ChatGPT plans
Usage and limits
No separate VM charge; usage is limited by plan
Comparison scope
- This page is based on official public documentation. No head-to-head tests were run.
- This page does not compare the models' coding ability.
- The two work together: maintain code locally with Codex and hand GPU-heavy, long-running experiments to Scientify.