Model comparison
DeepSeek Coder 1.3B vs Yi-34B
Yi-34B has enough public results to be ranked (#329); DeepSeek Coder 1.3B does not yet, so treat this comparison as directional.
Last verified . 3 shared benchmarks.
DeepSeekSummary
- They share 3 benchmarks with published results for both. DeepSeek Coder 1.3B scores higher in 0 categories and Yi-34B in 1 category; one gap is clear of the uncertainty.
Side by side
| DeepSeek Coder 1.3B | Yi-34B | |
|---|---|---|
| Provider | DeepSeek | 01.AI |
| Noometry Index | 35.0 | 27.8 |
| Released | 2023-11-02 | 2023-11-02 |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 9 | 23 |
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Category by category
Coding Yi-34B leads
DeepSeek Coder 1.3B: 31.2 (#287), Yi-34B: 32.3 (#274)
| Benchmark | DeepSeek Coder 1.3B | Yi-34B |
|---|---|---|
| BigCodeBench Instruct | 22.8% | — |
| LMArena Coding | — | 1112 |
| BigCodeBench Complete | 29.6% | — |
| HumanEval+ | 60.4% | — |
| MBPP+ | 54.8% | — |
Reasoning Not comparable
DeepSeek Coder 1.3B: —, Yi-34B: 21.2 (#226)
| Benchmark | DeepSeek Coder 1.3B | Yi-34B |
|---|---|---|
| Epoch Capabilities Index | 63.6 | 117.39 |
| LMArena Hard Prompts | — | 1104 |
| BIG-Bench Hard | — | 71.7% |
| WinoGrande | 53.3% | — |
Math Not comparable
DeepSeek Coder 1.3B: —, Yi-34B: 21.6 (#282)
| Benchmark | DeepSeek Coder 1.3B | Yi-34B |
|---|---|---|
| GSM8K | 4.4% | 76% |
| LMArena Math | — | 1114 |
| MATH Level 5 | — | 5.1% |
Knowledge Not comparable
DeepSeek Coder 1.3B: —, Yi-34B: 7.5 (#309)
| Benchmark | DeepSeek Coder 1.3B | Yi-34B |
|---|---|---|
| MMLU | 25.8% | 76.3% |
| GPQA Diamond | — | 14.7% |
| LMArena Expert | — | 1061 |
| ARC (AI2) Challenge | 25.4% | — |
Multilingual Not comparable
DeepSeek Coder 1.3B: —, Yi-34B: 29.7 (#264)
| Benchmark | DeepSeek Coder 1.3B | Yi-34B |
|---|---|---|
| LMArena Non-English | — | 1079 |
| LMArena Chinese | — | 1176 |
| LMArena French | — | 1081 |
| LMArena German | — | 1042 |
| LMArena Japanese | — | 993 |
| LMArena Korean | — | 959 |
| LMArena Russian | — | 1050 |
| LMArena Spanish | — | 1070 |
Instruction Following Not comparable
DeepSeek Coder 1.3B: —, Yi-34B: 56.2 (#274)
| Benchmark | DeepSeek Coder 1.3B | Yi-34B |
|---|---|---|
| LMArena Instruction Following | — | 1091 |
Long Context Not comparable
DeepSeek Coder 1.3B: —, Yi-34B: 33.2 (#264)
| Benchmark | DeepSeek Coder 1.3B | Yi-34B |
|---|---|---|
| LMArena Longer Query | — | 1094 |
Writing & Preference Not comparable
DeepSeek Coder 1.3B: —, Yi-34B: 34.1 (#273)
| Benchmark | DeepSeek Coder 1.3B | Yi-34B |
|---|---|---|
| LMArena Text | — | 1129 |
| LMArena Creative Writing | — | 1108 |
| LMArena Multi-Turn | — | 1113 |
Frequently asked questions
Is DeepSeek Coder 1.3B better than Yi-34B?
Yi-34B has enough public results to be ranked (#329); DeepSeek Coder 1.3B does not yet, so treat this comparison as directional.
Is DeepSeek Coder 1.3B or Yi-34B better for coding?
Yi-34B scores higher on coding benchmarks: 32.3 versus 31.2 in the Noometry coding category.
How many benchmarks do DeepSeek Coder 1.3B and Yi-34B share?
3 benchmarks have published results for both models. DeepSeek Coder 1.3B has 9 scored results on Noometry and Yi-34B has 23.