whatmodel.sh / Reka Core (2024-09-04)
Reka Core (2024-09-04)
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Reka Core (2024-09-04) is a closed-weights language model from Reka AI, released September 2024.
Catalogue identity notes
Comparison-only. Arena entry 'reka-core-20240904' (text). LMArena's leaderboard table (arena-leaderboard space @6f2eeeb) labels 'reka-core-20240904' as 'Reka-Core-20240904' (Reka AI, Proprietary), linking https://docs.reka.ai/available-models. Released 2024-09: date in Reka's API snapshot id. Dated Reka API snapshot (FastChat registry lists reka-core-20240904 under 'Reka Core'). Reka's current docs list only reka-flash and reka-edge as public models, so no API is asserted.
$ how it compares
The LLMs ranked either side of Reka Core (2024-09-04), out of 1132 with a score, then more from Reka AI.
| # | model | score | where | ||
|---|---|---|---|---|---|
| 505 | Reka Flash 3 (21B) | 52±6 | local | ||
| 506 |  Yi-Large Preview | 52±1 | comparison only | ||
| 507 | Reka Core (2024-09-04) | 52±3 | comparison only | ||
| 508 |  Qwen2.5-Math 7B Instruct | 52±2 | local | ||
| 509 |  LFM2.5 8B-A1B | 52±1 | local | ||
| more from Reka AI | |||||
| 523 | Reka Flash 3.1 (21B) | 52±6 | local | ||
| 554 | Reka Flash (2024-09-04) | 51±3 | comparison only | ||
| 632 | Reka Core (2024-05-01) | 48±1 | comparison only | ||
$ what it's good at
chat & writing▁▁▁▃▅▅▆█▆▆▆▂ #331 of 579 * · 95% of its score · 1 test
Beats Mistral Small 4 (119B-A6.5B), Ministral 3 14B Reasoning 2512, Qwen2.5 Coder 32B Instruct here, though they rank higher overall. Trails Flan-T5 XXL, LFM2.5 1.2B Instruct, Gemma 3 4B here, though they rank lower overall.
| test | result | vs the others in its run | counts |
|---|---|---|---|
| LMArena (text) | 1288.0 ✎ | ▁▁▁▂▃▃▃▆▆▇█▃ beats 119/379 | 95% |
$ where to run it
No verified API or download recorded yet · add one
$ how the score was worked out · LMArena leaderboard dataset 95%
Each result implies a score on its own, after adjusting for how hard its test is and who ran it. The score is their weighted average, with a small pull toward the middle for thinly tested models. Each test's weight is its counts column above; here it's added up by who ran the tests. How it works
| source | results | share of the score |
|---|---|---|
 LMArena leaderboard dataset | 1 | 95% |
| prior · pull toward the middle | 5% | |
| weighted average | = 52.3 |
$ improve this page
Use a short GitHub form or edit the data through a pull request. Every number needs a source; here's which ones we can use.
data updated · sources and licences · json