BerriAI/litellm - GitHub vs EssayGrader
Side-by-side comparison · Updated October 2026
| Description | LiteLLM is an AI gateway and Python SDK from Berrie AI Incorporated, published in the BerriAI GitHub repository. The SDK provides a common interface for model calls inside Python applications. The proxy gateway centralizes access for a team, with virtual keys, model routing, spend tracking, budgets and an administration interface. The official documentation lists support for more than 100 model providers. Supported endpoints and features vary by integration, so verify your model’s streaming, tool-calling, image, audio or embedding requirements. The router supports retries, fallbacks and load balancing; observability integrations can send request data to tools such as Langfuse, LangSmith and OpenTelemetry. LiteLLM also provides an MCP gateway. It can connect upstream servers using Streamable HTTP, SSE or stdio, expose tools through a fixed gateway endpoint, and scope access by key, team or organization. This requires configuring the upstream servers and authentication; the gateway does not automatically grant access to third-party tools. Agent-to-agent integrations are documented separately. The open-source offering has no software license fee for self-hosting. Code outside the enterprise directory is MIT-licensed, while enterprise code has separate terms. Enterprise pricing is quoted by annual gateway request capacity, deployment architecture and support needs, rather than a per-token license charge. Model-provider charges and infrastructure costs still apply. Enterprise adds controls and support such as SSO, SCIM, audit logs and service-level agreements. Compare New API for another self-hosted gateway with provider-channel management and usage accounting. Evaluate a representative workload, inspect request logging and secret handling, test budget and failure behavior, and decide whether SDK integration or a shared gateway best fits your application. | EssayGrader is a browser-based assessment assistant for teachers reviewing student writing. Educators can choose or upload a rubric, import assignments, review suggested scores and feedback, and edit the results before sharing them. The current service includes standards-aligned rubrics, handwritten essay processing, revision comparisons and classroom writing insights. Teacher review remains essential: a suggested score or detection flag is not a final educational judgment. The current pricing table lists a free Basic plan with 50 essays graded and 50 essays summarized per month, with a 1,000-word limit per essay. The homepage separately advertises 100 essays free without specifying a recurring allowance. Use the plan table's 50-per-month limit for planning and confirm any introductory allocation in the account; do not assume the homepage offer means 100 essays every month. The current pricing table no longer lists a Lite tier. Pro costs $19.99 per month with monthly billing, or an advertised $14.99 per month when annual billing is selected. It includes 350 essays per month, a 3,500-word limit per essay, AI-writing and plagiarism checks for 350 essays, and native Google Classroom, Canvas and Schoology integrations. Premium costs $49.99 monthly or an advertised $34.99 per month with annual billing, with 800 essays per month and an 8,000-word limit. The calculated annual equivalents are $179.88 for Pro and $419.88 for Premium; the terms specify USD and exclude applicable taxes. Confirm the final checkout amount and billing period. The School District / Higher-Ed option is quoted for 25 or more users. It offers a mix of Pro and Premium licenses, administration, teacher and administrator training, institutional analytics and data-agreement support. This is not an unlimited individual plan. Match the license mix to the number and length of assignments each educator handles. For a useful evaluation, use permitted sample work, a clear rubric and a small set of essays you have already assessed. Check suggested scores against the relevant criteria, verify that comments accurately describe the text, and edit feedback for the student's needs. For handwritten work, inspect the transcription before judging the feedback. Compare revision drafts to see whether the advice helps identify specific improvements. Confirm LMS access on the chosen plan before depending on automatic import and return of grades. The official FAQ states that student submissions are not used to train AI models. Its privacy policy and terms require users to remove or anonymize student and minor identifiers, including metadata, before uploading work. They also describe third-party processing, so a no-training statement does not mean no provider ever processes the data. The April 2026 privacy policy describes deletion within 60 days of an account-deletion request, subject to legal or contractual exceptions; the older terms also mention storage for up to 180 days after termination. Resolve the applicable retention commitments with the provider before an institutional rollout. Tech Nest Ventures Inc. is the service provider named in EssayGrader's terms and privacy policy. Compare CoGrader for another teacher-facing rubric and feedback workflow, using the same assignment sample and review criteria. EssayGrader's terms make subscriptions recurring and generally do not promise refunds; check cancellation and institutional notice requirements before purchasing. |
| Category | Developer Tools | Education |
| Rating | No reviews | No reviews |
| Pricing | Open Source | Freemium |
| Starting Price | N/A | Free |
| Plans | — |
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| Use Cases |
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| Tags | AI gatewayPython SDKLLM routingMCP gatewayvirtual keys | AI essay gradingrubric feedbackteacher toolsLMS integrationwriting assessment |
| Features | ||
| Python SDK for direct application integration | ||
| Shared AI proxy gateway and administration UI | ||
| More than 100 documented model-provider integrations | ||
| Virtual keys, users, teams, budgets and rate limits | ||
| Spend tracking and observability integrations | ||
| Router retries, fallbacks and load balancing | ||
| MCP gateway for Streamable HTTP, SSE and stdio upstreams | ||
| Key, team and organization MCP permissions | ||
| Separate enterprise identity, audit and support features | ||
| AI grading suggestions with editable scores and feedback | ||
| Custom and standards-aligned rubrics | ||
| Free Basic:50 essays graded per month | ||
| Pro:350 essays per month; Premium:800 | ||
| Native LMS integrations on Pro and Premium | ||
| Handwritten essay processing and revision comparisons | ||
| AI-writing and plagiarism signals for educator review | ||
| Quoted school and higher-education licensing | ||
| View BerriAI/litellm - GitHub | View EssayGrader | |
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