Model comparison
DeepSeek LLM 67B vs MiMo-V2.6-Pro
MiMo-V2.6-Pro is the stronger model overall, scoring 50.3 to 24.9 on the Noometry Index.
Last verified . 10 shared benchmarks.
DeepSeekSummary
- They share 10 benchmarks with published results for both. DeepSeek LLM 67B scores higher in 0 categories and MiMo-V2.6-Pro in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where MiMo-V2.6-Pro leads 54.5 to 8.7.
Side by side
| DeepSeek LLM 67B | MiMo-V2.6-Pro | |
|---|---|---|
| Provider | DeepSeek | Xiaomi |
| Noometry Index | 24.9 | 50.3 |
| Released | 2023-11-29 | 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 | 15 | 19 |
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Category by category
Coding MiMo-V2.6-Pro leads
DeepSeek LLM 67B: 31.9 (#278), MiMo-V2.6-Pro: 55.5 (#23)
| Benchmark | DeepSeek LLM 67B | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Coding | 1096 | 1534 |
| LMArena WebDev | — | 1629 |
| SciCode | — | 60.9% |
| ALE-Bench | — | 1,158 |
Agentic & Tool Use Not comparable
DeepSeek LLM 67B: —, MiMo-V2.6-Pro: 37.5 (#35)
| Benchmark | DeepSeek LLM 67B | MiMo-V2.6-Pro |
|---|---|---|
| APEX-Agents | — | 59.5% |
Reasoning MiMo-V2.6-Pro leads
DeepSeek LLM 67B: 16.5 (#304), MiMo-V2.6-Pro: 43.1 (#50)
| Benchmark | DeepSeek LLM 67B | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Hard Prompts | 1070 | 1512 |
| CritPt | — | 26.6% |
| Chess Puzzles | 0% | — |
| Epoch Capabilities Index | 110.5 | — |
Math MiMo-V2.6-Pro leads
DeepSeek LLM 67B: 8.7 (#324), MiMo-V2.6-Pro: 54.5 (#45)
| Benchmark | DeepSeek LLM 67B | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Math | 1108 | 1494 |
| OTIS Mock AIME 2024-2025 | 0.8% | — |
| ProofBench | — | 70% |
| MATH Level 5 | 6.4% | — |
Knowledge MiMo-V2.6-Pro leads
DeepSeek LLM 67B: 7.0 (#313), MiMo-V2.6-Pro: 43.5 (#92)
| Benchmark | DeepSeek LLM 67B | MiMo-V2.6-Pro |
|---|---|---|
| GPQA Diamond | 24.6% | — |
| LMArena Expert | — | 1543 |
Multimodal Not comparable
DeepSeek LLM 67B: —, MiMo-V2.6-Pro: 40.8 (#43)
| Benchmark | DeepSeek LLM 67B | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Vision | — | 1264 |
Multilingual MiMo-V2.6-Pro leads
DeepSeek LLM 67B: 29.4 (#267), MiMo-V2.6-Pro: 56.9 (#14)
| Benchmark | DeepSeek LLM 67B | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Non-English | 1073 | 1474 |
| LMArena Chinese | 1132 | 1529 |
| LMArena Russian | — | 1480 |
Instruction Following MiMo-V2.6-Pro leads
DeepSeek LLM 67B: 55.4 (#277), MiMo-V2.6-Pro: 78.2 (#12)
| Benchmark | DeepSeek LLM 67B | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Instruction Following | 1079 | 1493 |
Long Context MiMo-V2.6-Pro leads
DeepSeek LLM 67B: 33.1 (#265), MiMo-V2.6-Pro: 46.0 (#27)
| Benchmark | DeepSeek LLM 67B | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Longer Query | 1092 | 1501 |
Writing & Preference MiMo-V2.6-Pro leads
DeepSeek LLM 67B: 31.6 (#282), MiMo-V2.6-Pro: 66.8 (#33)
| Benchmark | DeepSeek LLM 67B | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Text | 1105 | 1492 |
| LMArena Creative Writing | 1067 | 1468 |
| LMArena Multi-Turn | 1082 | 1464 |
Frequently asked questions
Is DeepSeek LLM 67B better than MiMo-V2.6-Pro?
MiMo-V2.6-Pro is the stronger model overall, scoring 50.3 to 24.9 on the Noometry Index.
Is DeepSeek LLM 67B or MiMo-V2.6-Pro better for coding?
MiMo-V2.6-Pro scores higher on coding benchmarks: 55.5 versus 31.9 in the Noometry coding category.
How many benchmarks do DeepSeek LLM 67B and MiMo-V2.6-Pro share?
10 benchmarks have published results for both models. DeepSeek LLM 67B has 15 scored results on Noometry and MiMo-V2.6-Pro has 19.