DeepSeek
RankedEnough results for an index.DeepSeek V3 0324
DeepSeek V3 0324 is a standard model from DeepSeek in the DeepSeek family. 16 benchmarks count toward its index, in 7 categories.
IndexAll categories, out of 100.37.1±5.0Median 51.0
CoverageIndex weight that has results.90%
SpeedOutput tokens per second.—Median 67/s
First tokenSeconds to the first output token.—Median 1.3 s
Input / 1MUS dollars per 1M input tokens.—Median $0.60
Output / 1MUS dollars per 1M output tokens.—Median $2.55
ContextMaximum tokens in one request.128KMedian 262K
EloLMArena rating and rank.1375±4 #184Median 1422
Run locally
684.53B parameters- 16-bit
- 1438.5 GB
- 8-bit
- 764.7 GB
- 4-bit
- 436.7 GB
Memory need with a short context. The 4-bit copy needs more than 128 GB. Compare local models
Capabilities
Index per category, out of 100.Results
16 countedBenchmarkThe benchmark name.ResultThe score from the source.PlacePlace among results on this benchmark.
Sources
BenchLMCC BY-NC 4.0Vals AINo licence statedSWE-bench teamNo licence statedHistory
5 releases23 Oct 202612 Nov 2026
Questions
- How good is DeepSeek V3 0324?
- Its index is 37.1 out of 100. That is place 226 of 283 ranked models.
- What is DeepSeek V3 0324 best at?
- Math: 38.0 out of 100, place 129 of 168.
- What is the context window of DeepSeek V3 0324?
- 128K tokens.
- Is DeepSeek V3 0324 open source?
- Yes. Its weights are published.
- When was DeepSeek V3 0324 released?
- March 2025.
Badge
- HTML
<a href="https://inference360.ai/models/deepseek-v3-0324"><img src="https://inference360.ai/badges/deepseek-v3-0324.svg" alt="DeepSeek V3 0324 on Inference360: place 226 of 283, index 37.1" height="20"></a>- Markdown
[](https://inference360.ai/models/deepseek-v3-0324)