Better than 64% of all models
Context
N/A
Input $/1M
TBD
Output $/1M
TBD
Type
text
License
Open Source
Benchmarks
4 tested
Data updated today
About
Tested on 4 benchmarks with 50.8% average. Top scores: GSM8K (67.1%), MMLU (47.3%), Winogrande (45.8%).
Capabilities
math
67.1
#44 globally
knowledge
45.4
#150 globally
Benchmark Scores
Compare AllTested on 4 benchmarks · Ranked across 2 categories
Score Distribution (all 274 models)
0255075100
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mathCompare math →
GSM8K
67.1—Grade school math word problems. 8,500 problems testing multi-step arithmetic reasoning. A foundational math benchmark.
knowledgeCompare knowledge →
MMLU
47.3—Massive Multitask Language Understanding. 57 subjects from STEM, humanities, and social sciences. The most widely-cited knowledge benchmark.
Winogrande
45.8—Commonsense coreference resolution. Tests understanding of pronoun references in ambiguous sentences.
ARC AI2
43.1—AI2 Reasoning Challenge. Grade-school science questions requiring multi-step reasoning. Easy and Challenge sets test different difficulty levels.
Excellent (85+) Good (70-85) Average (50-70) Below (<50)
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Source Code
BenchGecko API
deepseek-coder-v2-lite-base
Specifications
- Typetext
- ContextN/A
- ReleasedJan 2024
- LicenseOpen Source
- Statusbenchmark-only
Available On
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Frequently Asked Questions
DeepSeek-Coder-V2-Lite-Base is an open-source text AI model by DeepSeek, released in January 2024. It has an average benchmark score of 57.6.