InfiniteBench
Benchmark metadata from benchwiki — this page mirrors their record so scores can be joined to it. The original is canonical.
What it measures
100k+ token benchmark mixing realistic and synthetic tasks across English, Chinese, code, math, and retrieval.
- Primary metric
- task-specific accuracy / ROUGE aggregate
- Judge model
- not judged by a model
- Human baseline
- not reportedNo single protocol-comparable human baseline is recorded.
- Languages
- Chinese, Code, English
Health
Input lengths and metrics vary sharply by task; quote per-task scores rather than a single aggregate. The visual graph on this page deliberately plots only the official InfiniteBench paper Table 3 Average row for the four baseline models. It does not plot the individual subset rows.
- Status evidence
- InfiniteBench remains valuable for 100k+ token stress testing, but its public static split and newer complementary suites make it better classified as nearing-saturation than as the freshest active frontier signal.
- Saturated since
- not saturated
- Refresh cycle
- static
- Test set public
- yes
The data and construction scripts are public. Synthetic tasks can be regenerated, but the released benchmark split is static.
Models scored on this benchmark
The reverse lookup, which is this site’s addition: every model here with a score on this benchmark. Independent measurements and vendor-reported numbers are kept apart rather than interleaved, because they are different claims.
No model on this site has a score on this benchmark yet. That usually means the models that were measured on it are not in the registry, rather than that nobody has run it.
Trajectory
Where results are tracked
Leaderboards benchwiki lists for this benchmark. These are links out, not sources this site ingests — no score below comes from any of them.
Source
This record is maintained by benchwiki and mirrored here. Read the original. Upstream last updated 2026-08-12; fetched 2026-10-19 by this site.