Model comparison
Deepseek Coder v2 vs MiniMax-M2.7
MiniMax-M2.7 is the stronger model overall, scoring 37.7 to 35.9 on the Noometry Index.
Last verified . 17 shared benchmarks.
DeepSeek
MiniMaxSummary
- They share 17 benchmarks with published results for both. Deepseek Coder v2 scores higher in 2 categories and MiniMax-M2.7 in 6 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where MiniMax-M2.7 leads 58.9 to 38.2.
Side by side
| Deepseek Coder v2 | MiniMax-M2.7 | |
|---|---|---|
| Provider | DeepSeek | MiniMax |
| Noometry Index | 35.9 | 37.7 |
| Released | 2024-06-17 | 2026-03-18 |
| Weights | Open | Open |
| Context window | — | 205K |
| Max output | — | 131K |
| Input $ / M tokens | — | $0.30 |
| Output $ / M tokens | — | $1.20 |
| Results tracked | 24 | 30 |
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Category by category
Coding MiniMax-M2.7 leads
Deepseek Coder v2: 38.1 (#183), MiniMax-M2.7: 41.8 (#120)
| Benchmark | Deepseek Coder v2 | MiniMax-M2.7 |
|---|---|---|
| LMArena Coding | 1251 | 1454 |
| LMArena WebDev | — | 1398 |
| SciCode | — | 47% |
| WeirdML | — | 37% |
| BigCodeBench Instruct | 48.2% | — |
| BigCodeBench Complete | 59.7% | — |
| ALE-Bench | — | 599.25 |
| HumanEval+ | 82.3% | — |
| MBPP+ | 75.1% | — |
Agentic & Tool Use Not comparable
Deepseek Coder v2: —, MiniMax-M2.7: 25.1 (#111)
| Benchmark | Deepseek Coder v2 | MiniMax-M2.7 |
|---|---|---|
| Terminal-Bench | — | 45.1% |
| ExploitBench | — | 13.3% |
| GBAEval | — | 0% |
Reasoning Deepseek Coder v2 leads
Deepseek Coder v2: 23.6 (#176), MiniMax-M2.7: 19.7 (#253)
| Benchmark | Deepseek Coder v2 | MiniMax-M2.7 |
|---|---|---|
| LMArena Hard Prompts | 1207 | 1422 |
| NYT Connections (extended) | — | 24.7% |
| CritPt | — | 0.6% |
| Thematic Generalization | — | 39.3% |
| Epoch Capabilities Index | — | 145.85 |
| WinoGrande | 83.7% | — |
Math Deepseek Coder v2 leads
Deepseek Coder v2: 34.9 (#190), MiniMax-M2.7: 25.9 (#263)
| Benchmark | Deepseek Coder v2 | MiniMax-M2.7 |
|---|---|---|
| LMArena Math | 1241 | 1420 |
| ProofBench | — | 3% |
| GSM8K | 94.5% | — |
Knowledge MiniMax-M2.7 leads
Deepseek Coder v2: 32.3 (#212), MiniMax-M2.7: 37.7 (#152)
| Benchmark | Deepseek Coder v2 | MiniMax-M2.7 |
|---|---|---|
| LMArena Expert | 1181 | 1444 |
| Vectara Hallucination Rate | — | 12.9% |
| ARC (AI2) Challenge | 64.3% | — |
Multilingual MiniMax-M2.7 leads
Deepseek Coder v2: 36.3 (#240), MiniMax-M2.7: 50.3 (#123)
| Benchmark | Deepseek Coder v2 | MiniMax-M2.7 |
|---|---|---|
| LMArena Non-English | 1182 | 1382 |
| LMArena Chinese | 1201 | 1441 |
| LMArena French | 1185 | 1421 |
| LMArena German | 1164 | 1398 |
| LMArena Japanese | 1126 | 1262 |
| LMArena Korean | 1104 | 1313 |
| LMArena Russian | 1188 | 1383 |
| LMArena Spanish | 1153 | 1403 |
Instruction Following MiniMax-M2.7 leads
Deepseek Coder v2: 61.7 (#242), MiniMax-M2.7: 74.1 (#103)
| Benchmark | Deepseek Coder v2 | MiniMax-M2.7 |
|---|---|---|
| LMArena Instruction Following | 1180 | 1405 |
Long Context MiniMax-M2.7 leads
Deepseek Coder v2: 37.0 (#224), MiniMax-M2.7: 43.3 (#99)
| Benchmark | Deepseek Coder v2 | MiniMax-M2.7 |
|---|---|---|
| LMArena Longer Query | 1219 | 1419 |
Writing & Preference MiniMax-M2.7 leads
Deepseek Coder v2: 38.2 (#253), MiniMax-M2.7: 58.9 (#112)
| Benchmark | Deepseek Coder v2 | MiniMax-M2.7 |
|---|---|---|
| LMArena Text | 1191 | 1405 |
| LMArena Creative Writing | 1120 | 1354 |
| LMArena Multi-Turn | 1177 | 1412 |
Frequently asked questions
Is Deepseek Coder v2 better than MiniMax-M2.7?
MiniMax-M2.7 is the stronger model overall, scoring 37.7 to 35.9 on the Noometry Index.
Is Deepseek Coder v2 or MiniMax-M2.7 better for coding?
MiniMax-M2.7 scores higher on coding benchmarks: 41.8 versus 38.1 in the Noometry coding category.
How many benchmarks do Deepseek Coder v2 and MiniMax-M2.7 share?
17 benchmarks have published results for both models. Deepseek Coder v2 has 24 scored results on Noometry and MiniMax-M2.7 has 30.