DeepReinforce AI
partialShows if the model has enough results for an index.Ornith-1.0-9B
Ornith-1.0-9B is a reasoning model from DeepReinforce AI in the Ornith 1.0 family. 4 benchmarks count toward its score, in 2 categories.
IndexOverall score out of 100.Unranked
CoverageShare of the index weight with results.40%
SpeedOutput tokens per second.—
Input / 1MUS dollars per 1M input tokens.Free
Output / 1MUS dollars per 1M output tokens.Free
ContextMaximum tokens in one request.256K
EloLMArena rating and rank.N/A
The index is a score out of 100. The ± range shows how much it can change.
CapabilitiesScore per category, out of 100.
Out of 100Results
4 counted| BenchmarkThe test name. | CategoryThe capability that the test measures. | ResultThe score from the publisher. | IndexThis result as a score out of 100. | RunThe settings of the run. | DateDate of the result. | Published byThe source of the result. |
|---|---|---|---|---|---|---|
| Software Engineering Benchmark Verified | Coding | 69.4% | 53.2 | — | — | Carlos E. Jimenez et al. |
| Claw-Eval | Agentic | 63.1% | 57.6 | — | — | Bowen Ye et al. |
| SWE-bench Pro | Coding | 42.9% | 45.5 | — | — | Xiang Deng et al. |
| NL2Repo | Coding | 27.2% | 46.0 | — | — | MiniMax |
4 benchmarks count, from 4 of 4 results. A grey row does not count. Too few models took that benchmark.