Model comparison
DeepSeek-V2 (MoE-236B, May 2024) vs MiMo-V2.6-Pro
MiMo-V2.6-Pro has enough public results to be ranked (#49); 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 MiMo-V2.6-Pro leads 55.5 to 40.4.
Side by side
| DeepSeek-V2 (MoE-236B, May 2024) | MiMo-V2.6-Pro | |
|---|---|---|
| Provider | DeepSeek | Xiaomi |
| Noometry Index | 40.3 | 50.3 |
| Released | 2024-05-07 | 2026-09-21 |
| Weights | Open | Open |
| Context window | — | 1.05M |
| Max output | — | 131K |
| Input $ / M tokens | — | $0.43 |
| Output $ / M tokens | — | $0.87 |
| Results tracked | 10 | 19 |
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Category by category
Coding MiMo-V2.6-Pro leads
DeepSeek-V2 (MoE-236B, May 2024): 40.4 (#139), MiMo-V2.6-Pro: 55.5 (#23)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | MiMo-V2.6-Pro |
|---|---|---|
| LMArena WebDev | — | 1629 |
| SciCode | — | 60.9% |
| BigCodeBench Instruct | 48.9% | — |
| LMArena Coding | — | 1534 |
| BigCodeBench Complete | 59.4% | — |
| ALE-Bench | — | 1,158 |
Agentic & Tool Use Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, MiMo-V2.6-Pro: 37.5 (#35)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | MiMo-V2.6-Pro |
|---|---|---|
| APEX-Agents | — | 59.5% |
Reasoning Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, MiMo-V2.6-Pro: 43.1 (#50)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | MiMo-V2.6-Pro |
|---|---|---|
| CritPt | — | 26.6% |
| LMArena Hard Prompts | — | 1512 |
| 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): —, MiMo-V2.6-Pro: 54.5 (#45)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | MiMo-V2.6-Pro |
|---|---|---|
| ProofBench | — | 70% |
| LMArena Math | — | 1494 |
Knowledge Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, MiMo-V2.6-Pro: 43.5 (#92)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Expert | — | 1543 |
| ARC (AI2) Challenge | 92.2% | — |
| MMLU | 78.4% | — |
| TriviaQA | 80% | — |
Multimodal Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, MiMo-V2.6-Pro: 40.8 (#43)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Vision | — | 1264 |
Multilingual Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, MiMo-V2.6-Pro: 56.9 (#14)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Non-English | — | 1474 |
| LMArena Chinese | — | 1529 |
| LMArena Russian | — | 1480 |
Instruction Following Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, MiMo-V2.6-Pro: 78.2 (#12)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Instruction Following | — | 1493 |
Long Context Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, MiMo-V2.6-Pro: 46.0 (#27)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Longer Query | — | 1501 |
Writing & Preference Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, MiMo-V2.6-Pro: 66.8 (#33)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Text | — | 1492 |
| LMArena Creative Writing | — | 1468 |
| LMArena Multi-Turn | — | 1464 |
Frequently asked questions
Is DeepSeek-V2 (MoE-236B, May 2024) better than MiMo-V2.6-Pro?
MiMo-V2.6-Pro has enough public results to be ranked (#49); DeepSeek-V2 (MoE-236B, May 2024) does not yet, so treat this comparison as directional.
Is DeepSeek-V2 (MoE-236B, May 2024) or MiMo-V2.6-Pro better for coding?
MiMo-V2.6-Pro scores higher on coding benchmarks: 55.5 versus 40.4 in the Noometry coding category.
How many benchmarks do DeepSeek-V2 (MoE-236B, May 2024) and MiMo-V2.6-Pro share?
0 benchmarks have published results for both models. DeepSeek-V2 (MoE-236B, May 2024) has 10 scored results on Noometry and MiMo-V2.6-Pro has 19.