BlogLLM Benchmark Scores as Published, Side by Side

RiemannBench: Results as Published

Every result the catalog holds for RiemannBench: 5 models from 3 developers, read from 2 pages. Each number is as printed by the company named beside it; nothing is ranked or rescored. Models are listed by developer, newest first.

Area Science and MathMaintainer Surge AIIntroduced 2026Data version 2026103001, as of 2026-10-30

RiemannBench tests research-level mathematics that goes well beyond olympiad-style problems. It is a private set of expert-written problems, each with a unique closed-form answer that is checked by a program, and each problem is verified by two experts solving it independently. Models run as unconstrained research agents with coding tools and search, and are scored with a statistical estimator over many independent runs.

RiemannBench

ModelValuePrinted bySetup as printed
GPT-6 AstraOpenAI, released 2026-09-0372%Google, Gemini 4 Argonchecked 2026-10-29; printed on 1 more page-
Claude Opus 5.5Anthropic, released 2026-09-2269.6%Google, Gemini 4 Argonchecked 2026-10-29; printed on 1 more page-
Claude Fable 5.1Anthropic, released 2026-09-0165.6%Google, Gemini 4 Argonchecked 2026-10-29; printed on 1 more page-
Gemini 4 CarbonGoogle, released 2026-10-2880%Google, Gemini 4 Carbonchecked 2026-10-29-
Gemini 4 ArgonGoogle, released 2026-09-3076%Google, Gemini 4 Argonchecked 2026-10-29; printed on 1 more page-

Every number here is read from the same catalog file as the benchmark table, data version 2026103001, and is the number the table shows for that model and test. Where one page printed a model under several setups, each value is listed. The catalog is public in armanobosyan/sugra-llm-benchmarks; a wrong number can be reported from the table, with Report an error under the value, or as an issue in that repository.