Model profile
DeepSeek LLM 2.0
Evidence coverage
0 of 321 tracked benchmarks are published. 0 are verified and 0 provisional. 0 of 8 categories are measured.
- Published / tracked
- 0 / 321
- Verified
- 0
- Provisional
- 0
- Categories with evidence
- 0 / 8
Evidence by category
- Agentic0 benchmarksNot measured
- Coding0 benchmarksNot measured
- Reasoning0 benchmarksNot measured
- Knowledge0 benchmarksNot measured
- Math0 benchmarksNot measured
- Multilingual0 benchmarksNot measured
- Multimodal0 benchmarksNot measured
- Inst. Following0 benchmarksNot measured
BenchLM is tracking DeepSeek LLM 2.0, but sourced benchmark results are not published on the site yet. This page currently shows the model metadata we can verify now, and score-level benchmark coverage will appear once public evaluations land.
DeepSeek LLM 2.0 is a open weight model with a 128K token context window. It processes queries without explicit chain-of-thought reasoning, offering faster response times and lower token usage.
This profile does not yet have sourced benchmarks on BenchLM, so the benchmark sections below are intentionally marked as coming soon.
Peer position
Exact provisional scores and ranks for the closest listed peers. A score can appear before a model clears the evidence threshold for a rank, so equal scores can have different rank states.
Range 53.95–55.1
- Step 3.5 FlashStepFunCompare#8655.1Step 3.5 Flash is #86 with a score of 55.1.
- Kimi K2.7 CodeMoonshot AICompare#8755.0Kimi K2.7 Code is #87 with a score of 55.0.
- Grok 4.20xAICompare#8854.68Grok 4.20 is #88 with a score of 54.68.
- DeepSeek LLM 2.0Current modelDeepSeek#8954.53DeepSeek LLM 2.0 is #89 with a score of 54.53.
- GPT-5.1-Codex-MaxOpenAICompare#9054.48GPT-5.1-Codex-Max is #90 with a score of 54.48.
- MiMo-V2-FlashXiaomiCompare#9154.06MiMo-V2-Flash is #91 with a score of 54.06.
- DeepSeek V4 Flash (High)DeepSeekCompare#9253.95DeepSeek V4 Flash (High) is #92 with a score of 53.95.
Benchmark data coming soon
BenchLM has created this model profile, but no sourced benchmark rows are published here yet. Category charts, rankings, and score tables will appear after public evaluations are available and attached to source records.
Category evidence
Scores and ranks appear only where this model has published benchmark evidence. Categories without displayable source records remain not measured.
| Category | Score | Rank | Percentile | Weight | Benchmarks | Evidence |
|---|---|---|---|---|---|---|
| AgenticWeight 22%0 benchmarksNot measured | Not measured | Not ranked | Not available | 22% | 0 benchmarks | Not measured |
| CodingWeight 20%0 benchmarksNot measured | Not measured | Not ranked | Not available | 20% | 0 benchmarks | Not measured |
| ReasoningWeight 17%0 benchmarksNot measured | Not measured | Not ranked | Not available | 17% | 0 benchmarks | Not measured |
| KnowledgeWeight 12%0 benchmarksNot measured | Not measured | Not ranked | Not available | 12% | 0 benchmarks | Not measured |
| MathWeight 5%0 benchmarksNot measured | Not measured | Not ranked | Not available | 5% | 0 benchmarks | Not measured |
| MultilingualWeight 7%0 benchmarksNot measured | Not measured | Not ranked | Not available | 7% | 0 benchmarks | Not measured |
| MultimodalWeight 12%0 benchmarksNot measured | Not measured | Not ranked | Not available | 12% | 0 benchmarks | Not measured |
| Inst. FollowingWeight 5%0 benchmarksNot measured | Not measured | Not ranked | Not available | 5% | 0 benchmarks | Not measured |
Chatbot Arena performance
Scroll horizontally to inspect confidence intervals and vote counts.
| View | Elo | Confidence interval | Votes |
|---|---|---|---|
| Text Overall | 1350 | Not available | Not available |
Frequently Asked Questions
How does DeepSeek LLM 2.0 perform overall in AI benchmarks?
We are tracking DeepSeek LLM 2.0, but sourced benchmark coverage is still coming soon. The profile lists only the model metadata that has a verified public source.
Is DeepSeek LLM 2.0 open source?
Yes, DeepSeek LLM 2.0 is an open weight model created by DeepSeek, meaning it can be downloaded and run locally or fine-tuned for specific use cases.
Does DeepSeek LLM 2.0 have full benchmark coverage on BenchLM?
Not yet. DeepSeek LLM 2.0 currently has 0 published benchmark scores out of the 321 benchmarks BenchLM tracks. BenchLM only exposes non-generated public benchmark rows, so missing categories stay blank until a sourced evaluation is available.
What is the context window size of DeepSeek LLM 2.0?
DeepSeek LLM 2.0 has a published context window of 128K, which determines how much text it can process in a single interaction.
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