LiquidAI
availableShows if the model has enough results for an index.LFM2.5-2.6B
LFM2.5-2.6B is a reasoning model from LiquidAI. 15 benchmarks count toward its score, in 6 categories.
IndexOverall score out of 100.27.5 ±5.7
CoverageShare of the index weight with results.85%
SpeedOutput tokens per second.197/s
Input / 1MUS dollars per 1M input tokens.Free
Output / 1MUS dollars per 1M output tokens.Free
ContextMaximum tokens in one request.128K
EloLMArena rating and rank.N/A
The index is a score out of 100. The ± range shows how much it can change. A free tier is available.
CapabilitiesScore per category, out of 100.
Out of 100Results
15 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. |
|---|---|---|---|---|---|---|
| PinchBench | Agentic | 68.2% | — | — | — | Kilo Code |
| Claw-Eval | Agentic | 62.9% | 57.2 | — | — | Bowen Ye et al. |
| LiveCodeBench v6 | Coding | 59.4% | 31.1 | — | — | LiveCodeBench maintainers |
| Instruction Following Benchmark | Instruction | 59.2% | 34.9 | — | — | Benchmark authors |
| Berkeley Function Calling Leaderboard v4 | Agentic | 56.9% | 41.5 | — | — | Arcee AI |
| Artificial Analysis GPQA Diamond | Knowledge | 55.8% | 25.7 | — | — | Artificial Analysis |
| American Invitational Mathematics Examination 2025 | Math | 51.9% | 19.0 | — | — | Mathematical Association of America |
| Artificial Analysis SciCode | Coding | 14.4% | 12.9 | — | — | Artificial Analysis |
| Artificial Analysis Intelligence Index | Knowledge | 8.4% | 32.9 | — | — | Artificial Analysis |
| Artificial Analysis Coding Index | Coding | 7.7% | 24.4 | — | — | Artificial Analysis |
| Artificial Analysis Humanity's Last Exam | Knowledge | 6.2% | 31.3 | — | — | Artificial Analysis |
| Artificial Analysis Long Context Reasoning | Reasoning | 5.7% | 12.2 | — | — | Artificial Analysis |
| τ³-Bench Tool-Agent-User Evaluation | Agentic | 5.7% | 5.0 | — | — | Sierra Research |
| Artificial Analysis Omniscience Accuracy | Knowledge | 4.4% | 19.3 | — | — | Artificial Analysis |
| GDPval-AA normalized | Agentic | 0.0% | 35.6 | — | — | Artificial Analysis |
| Critical Physics Tasks | Reasoning | 0.0% | 38.4 | — | — | Artificial Analysis |
15 benchmarks count, from 15 of 16 results. A grey row does not count. Too few models took that benchmark.