Model comparison
DeepSeek-V2 (MoE-236B, May 2024) vs Mercury 2
Mercury 2 has enough public results to be ranked (#167); DeepSeek-V2 (MoE-236B, May 2024) does not yet, so treat this comparison as directional.
Last verified . 0 shared benchmarks.
DeepSeekSummary
- The widest gap is in coding, where DeepSeek-V2 (MoE-236B, May 2024) leads 39.8 to 33.2.
- DeepSeek-V2 (MoE-236B, May 2024) has downloadable open weights; the other is API-only.
Side by side
| DeepSeek-V2 (MoE-236B, May 2024) | Mercury 2 | |
|---|---|---|
| Provider | DeepSeek | Inception |
| Noometry Index | 39.7 | 38.8 |
| Released | 2024-05-07 | 2026-02-20 |
| Weights | Open | Proprietary |
| Context window | — | 128K |
| Max output | — | 50K |
| Input $ / M tokens | — | $0.25 |
| Output $ / M tokens | — | $0.75 |
| Results tracked | 10 | 17 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding DeepSeek-V2 (MoE-236B, May 2024) leads
DeepSeek-V2 (MoE-236B, May 2024): 39.8 (#141), Mercury 2: 33.2 (#250)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Mercury 2 |
|---|---|---|
| LMArena WebDev | — | 1170 |
| SciCode | — | 38.7% |
| WeirdML | — | 43.2% |
| BigCodeBench Instruct | 48.9% | — |
| LMArena Coding | — | 1391 |
| BigCodeBench Complete | 59.4% | — |
| ALE-Bench | — | 785.58 |
Reasoning Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Mercury 2: 23.0 (#170)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Mercury 2 |
|---|---|---|
| CritPt | — | 0.8% |
| LMArena Hard Prompts | — | 1362 |
| BIG-Bench Hard | 78.8% | — |
| Epoch Capabilities Index | 124.78 | — |
| HellaSwag | 87.1% | — |
| PIQA | 83.9% | — |
| WinoGrande | 86.3% | — |
Knowledge Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Mercury 2: 35.6 (#170)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Mercury 2 |
|---|---|---|
| Vectara Hallucination Rate | — | 12.3% |
| LMArena Expert | — | 1358 |
| ARC (AI2) Challenge | 92.2% | — |
| MMLU | 78.4% | — |
| TriviaQA | 80% | — |
Multilingual Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Mercury 2: 46.8 (#153)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Mercury 2 |
|---|---|---|
| LMArena Non-English | — | 1331 |
| LMArena Chinese | — | 1416 |
| LMArena Russian | — | 1303 |
Instruction Following Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Mercury 2: 70.4 (#161)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Mercury 2 |
|---|---|---|
| LMArena Instruction Following | — | 1328 |
Long Context Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Mercury 2: 40.4 (#149)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Mercury 2 |
|---|---|---|
| LMArena Longer Query | — | 1329 |
Writing & Preference Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Mercury 2: 54.0 (#151)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Mercury 2 |
|---|---|---|
| LMArena Text | — | 1355 |
| LMArena Creative Writing | — | 1289 |
| LMArena Multi-Turn | — | 1358 |
Frequently asked questions
Is DeepSeek-V2 (MoE-236B, May 2024) better than Mercury 2?
Mercury 2 has enough public results to be ranked (#167); DeepSeek-V2 (MoE-236B, May 2024) does not yet, so treat this comparison as directional.
Is DeepSeek-V2 (MoE-236B, May 2024) or Mercury 2 better for coding?
DeepSeek-V2 (MoE-236B, May 2024) scores higher on coding benchmarks: 39.8 versus 33.2 in the Noometry coding category.
How many benchmarks do DeepSeek-V2 (MoE-236B, May 2024) and Mercury 2 share?
0 benchmarks have published results for both models. DeepSeek-V2 (MoE-236B, May 2024) has 10 scored results on Noometry and Mercury 2 has 17.