Model card
DeepSeek-V3.2.
DeepSeekapi
§ 02 · Benchmarks
Every benchmark DeepSeek-V3.2 has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | React Native Evals | Mobile Development · React Native Code Generation | async-state-satisfaction | 77.7% | #7 | — | source ↗ |
| 02 | React Native Evals | Mobile Development · React Native Code Generation | animation-satisfaction | 56.4% | #10 | — | source ↗ |
| 03 | React Native Evals | Mobile Development · React Native Code Generation | navigation-satisfaction | 75.7% | #10 | — | source ↗ |
| 04 | React Native Evals | Mobile Development · React Native Code Generation | requirement-satisfaction | 69.0% | #10 | — | source ↗ |
| 05 | MMLU-Pro | Reasoning · Commonsense Reasoning | accuracy | 85.0% | #23 | 2025-12-02 | source ↗ |
Rank column shows this model’s position vs all other models scored on the same benchmark + metric (competitors after the slash). #1 in red means current SOTA. Sorted by rank, then newest result.
§ 03 · Strengths by area
Where DeepSeek-V3.2 actually performs.
§ 05 · Related models
Other DeepSeek models scored on Codesota.
§ 06 · Sources & freshness
Where these numbers come from.
Callstack Incubator
4
results
paperswithcode
1
result
4 of 5 rows marked verified.