C-Eval: Chinese evaluation suite with 13,948 multiple-choice questions in 52 disciplines and four difficulty levels for foundation models. These 6 tools cover the same task (evaluation data). They are ranked by how many of C-Eval's strongest markets they share, then by how complete their profile is.
Targets companies under 50 employees and offers a free plan.
Picked from our profile data, which we check against vendor pages. No vendor paid for a placement.
What C-Eval does
C-Eval is an evaluation dataset of Chinese multiple-choice exam questions. Companies serving Chinese-speaking customers use it to compare how well language models handle Chinese knowledge and reasoning.
Tests Chinese-language knowledge and reasoning of language models
Few-shot examples with explanations per subject
C-Eval is now maintained in the GitHub repository of the HKUST NLP Group in Hong Kong and contains Chinese exam questions across 52 disciplines.
Before you switch: The CC BY-NC-SA 4.0 license excludes commercial use; check with legal whether internal model selection in a company counts as commercial before using it. Results only describe Chinese-language performance. Public questions may have leaked into training data. For German or English use cases, other benchmarks fit better.
GSM8K is a widely used evaluation dataset of 8,500 English math word problems at grade school level. It checks whether a language model can reason through several calculation steps.
Key functions
Problems need two to eight reasoning steps with basic arithmetic
Natural-language solutions show each intermediate step
Compared with C-Eval
Strongest elsewhere: United States.
Check before buying: Many current models score very high on GSM8K, and the test problems are likely part of some training data, so the dataset separates weak models better than strong ones. Use it as a basic check and add harder or company-specific tests. The problems are in English only.
LegalBench is an open benchmark for evaluating legal reasoning in English language models. Legal and IT teams use it to see how well a model handles contracts, statutes and court decisions.
Key functions
Tests classification, extraction, generation and entailment on legal text
Few-shot training splits per task for prompting experiments
Compared with C-Eval
Strongest elsewhere: United States.
Check before buying: All tasks are in English and largely based on US law, so results do not transfer to German or EU law. Check the license of each task you use, since sources differ. Model outputs on legal questions still need review by qualified lawyers.
MMLU-Pro is an evaluation dataset with about 12,000 hard multiple-choice questions across disciplines. Teams use it to compare how well language models reason and recall knowledge.
Key functions
Ten answer options per question, with distractors generated by GPT-4 and reviewed by experts
Leaderboard with results for current frontier and open models
Compared with C-Eval
Strongest elsewhere: Canada.
Check before buying: Public benchmark questions may have entered model training data, so high scores can overstate real ability; add your own task-specific tests. The questions are in English and say little about German-language performance. Compare results only within the same prompt setup.
SWE-bench tests whether AI coding systems can fix real issues from open-source GitHub repositories. Its leaderboards are a common reference when companies compare coding assistants and agents.
Key functions
Measures the share of real repository issues an AI agent resolves
Containerized evaluation harness with Docker for reproducible runs
SWE-bench Verified: 500 problems confirmed solvable by engineers
Compared with C-Eval
Strongest elsewhere: United States.
Check before buying: Public issues and fixes may have been seen during model training, so strong scores can overstate performance on your own code base. Running the harness needs Docker and compute, or a cloud option. Most tasks come from Python projects; test agents on your own repositories before a purchase decision.
FinanceBench is a test set for question answering on company financial reports. Finance and data teams use the open sample to check whether a model or RAG setup finds correct figures in filings.
Key functions
Questions with answers and evidence strings from financial documents
Designed to test retrieval and long-context setups for financial question answering
Check before buying: The open sample is licensed CC BY-NC 4.0, which excludes commercial use; clarify internal use with legal and ask Patronus AI about the full set. With 150 cases the sample is small, so add your own questions on your company's reports. The filings are US company documents in English.
LiveBench is an open benchmark for language models designed to limit test set contamination. It regularly adds new questions and scores answers automatically against objective solutions.
Key functions
New questions from recent datasets, arXiv papers and news to limit contamination
Automatic scoring against verifiable answers
Agentic coding tasks run in Docker
Check before buying: Running the full benchmark costs API tokens for every model tested, and agentic coding tasks need Docker. The README notes that local model inference is unmaintained, so serve local models behind an OpenAI-compatible API. Questions are in English. The results say little about German-language performance.
All 6 alternatives by buying criteria
C-Eval alternatives by price, trial, hosting and security
Not stated means we found no statement on the vendor's site. Data as of each profile's last check.
The market around C-Eval: 7 tools for this task
0 % Publish a price (0/7)
100 % Free plan (7/7)
0 % Free trial (0/7)
0 % EU hosting option (0/7)
0 % Headquartered in Europe (0/7)
0 % Single sign-on (0/7)
C-Eval is among the tools that price on request. Most vendors in this category sell through demos and quotes, so ask two or three for an offer on the same scope before you compare.
Source: ai-toolfinder.com dataset, full profiles only.
It depends on your country and company size. In our data, GSM8K, LegalBench and MMLU-Pro share the most strong markets with C-Eval, so they are the closest fit if you work where C-Eval is strong. Filter the list by country and size to narrow it down.
Is there a free alternative to C-Eval?
GSM8K, LegalBench, MMLU-Pro, SWE-bench and FinanceBench offer a free plan or a free trial according to the vendors. Check the limits of free plans before you rely on them for employee data.
Which C-Eval alternatives can host data in the EU?
None of the listed alternatives states an EU hosting option in our data.
Which C-Eval alternatives publish their prices?
None of the 6 alternatives publishes a price in our data. Ask for quotes on the same scope to compare.
GSM8K
