whatmodel.sh / Gemini Experimental 1121
Gemini Experimental 1121
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Gemini Experimental 1121 is a closed-weights language model from Google, released November 2024. Licence: proprietary.
Catalogue identity notes
Comparison-only: retired or no longer listed API model, kept so its independent runs can be scored. Gemini API changelog, November 21, 2024: 'Released gemini-exp-1121, an even more powerful experimental Gemini API model'; experimental, shut down.
$ how it compares
The LLMs ranked either side of Gemini Experimental 1121, out of 1132 with a score, then more from Google.
| # | model | score | where | ||
|---|---|---|---|---|---|
| 527 |  Llama-3-8B-Instruct-SkillMix | 52±2 | comparison only | ||
| 528 |  Qwen2.5 14B Instruct | 52±1 | local | ||
| 529 | Gemini Experimental 1121 | 52±2 | comparison only | ||
| 530 |  Codestral (25.01) | 52±3 | comparison only | ||
| 531 |  Jan v1 4B | 52±7 | local | ||
| more from Google | |||||
| 9 | Gemini 4 Argon (limited preview) | 82±1 | limited preview | ||
| 23 | Gemini 3.8 Flash | 77±1 | api $1.50/M | ||
| 32 | Gemini 3.7 Flash | 76±1 | api $1.50/M | ||
$ what it's good at
coding▁▁▁▃▅▇█▇▅▄▂▁ #302 of 549 * · 97% of its score · 1 test
Beats Qwen3-VL 32B Instruct, Solar Open 100B (102B-A12B), GLM-4.7-Flash here, though they rank higher overall. Trails QwQ-32B-Preview, InternLM2.5 20B Chat, Mistral Small Instruct 22B (2409) here, though they rank lower overall.
| test | result | vs the others in its run | counts |
|---|---|---|---|
| Aider code editing (133 Exercism Python exercises, two attempts) | 57.9% ✎ | ▁·▁▂▄▁▆▄█▆▂▂ beats 25/62 | 97% |
$ where to run it
No verified API or download recorded yet · add one
$ how the score was worked out · Aider code editing benchmark… 97%
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 |
|---|---|---|
 Aider code editing benchmark runs (old edit leaderboard) | 1 | 97% |
| prior · pull toward the middle | 3% | |
| weighted average | = 51.5 |
$ 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