Model comparison
DeepSeek-V2 (MoE-236B, May 2024) vs Mercury 2.5
Mercury 2.5 has enough public results to be ranked (#242); DeepSeek-V2 (MoE-236B, May 2024) does not yet, so treat this comparison as directional.
Last verified . 0 shared benchmarks.
Summary
- 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 2.5 | |
|---|---|---|
| Provider | DeepSeek | Inception |
| Noometry Index | 40.3 | 33.5 |
| Released | 2024-05-07 | 2026-09-08 |
| Weights | Open | Proprietary |
| Context window | — | 260K |
| Max output | — | 66K |
| Input $ / M tokens | — | $0.04 |
| Output $ / M tokens | — | $0.15 |
| Results tracked | 10 | 4 |
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Category by category
Coding Too close to call
DeepSeek-V2 (MoE-236B, May 2024): 40.4 (#139), Mercury 2.5: 39.5 (#156)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Mercury 2.5 |
|---|---|---|
| SciCode | — | 38.5% |
| BigCodeBench Instruct | 48.9% | — |
| BigCodeBench Complete | 59.4% | — |
| ALE-Bench | — | 301.65 |
Reasoning Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Mercury 2.5: 22.4 (#193)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Mercury 2.5 |
|---|---|---|
| CritPt | — | 0% |
| BIG-Bench Hard | 78.8% | — |
| Epoch Capabilities Index | 124.77 | — |
| HellaSwag | 87.1% | — |
| PIQA | 83.9% | — |
| WinoGrande | 86.3% | — |
Math Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Mercury 2.5: 23.3 (#272)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Mercury 2.5 |
|---|---|---|
| ProofBench | — | 3% |
Knowledge Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Mercury 2.5: —
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Mercury 2.5 |
|---|---|---|
| ARC (AI2) Challenge | 92.2% | — |
| MMLU | 78.4% | — |
| TriviaQA | 80% | — |
Frequently asked questions
Is DeepSeek-V2 (MoE-236B, May 2024) better than Mercury 2.5?
Mercury 2.5 has enough public results to be ranked (#242); DeepSeek-V2 (MoE-236B, May 2024) does not yet, so treat this comparison as directional.
Is DeepSeek-V2 (MoE-236B, May 2024) or Mercury 2.5 better for coding?
They score almost the same on coding (40.4 vs 39.5); test both on your own repository before choosing.
How many benchmarks do DeepSeek-V2 (MoE-236B, May 2024) and Mercury 2.5 share?
0 benchmarks have published results for both models. DeepSeek-V2 (MoE-236B, May 2024) has 10 scored results on Noometry and Mercury 2.5 has 4.