Model comparison
MiniMax-M2.7 vs Yi-34B
MiniMax-M2.7 is the stronger model overall, scoring 37.7 to 27.8 on the Noometry Index.
Last verified . 18 shared benchmarks.
MiniMaxSummary
- They share 18 benchmarks with published results for both. MiniMax-M2.7 scores higher in 7 categories and Yi-34B in 1 category; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where MiniMax-M2.7 leads 37.7 to 7.5.
Side by side
| MiniMax-M2.7 | Yi-34B | |
|---|---|---|
| Provider | MiniMax | 01.AI |
| Noometry Index | 37.7 | 27.8 |
| Released | 2026-03-18 | 2023-11-02 |
| Weights | Open | Open |
| Context window | 205K | — |
| Max output | 131K | — |
| Input $ / M tokens | $0.30 | — |
| Output $ / M tokens | $1.20 | — |
| Results tracked | 30 | 23 |
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Category by category
Coding MiniMax-M2.7 leads
MiniMax-M2.7: 41.8 (#120), Yi-34B: 32.3 (#274)
| Benchmark | MiniMax-M2.7 | Yi-34B |
|---|---|---|
| LMArena Coding | 1454 | 1112 |
| LMArena WebDev | 1398 | — |
| SciCode | 47% | — |
| WeirdML | 37% | — |
| ALE-Bench | 599.25 | — |
Agentic & Tool Use Not comparable
MiniMax-M2.7: 25.1 (#111), Yi-34B: —
| Benchmark | MiniMax-M2.7 | Yi-34B |
|---|---|---|
| Terminal-Bench | 45.1% | — |
| ExploitBench | 13.3% | — |
| GBAEval | 0% | — |
Reasoning Yi-34B leads
MiniMax-M2.7: 19.7 (#253), Yi-34B: 21.2 (#226)
| Benchmark | MiniMax-M2.7 | Yi-34B |
|---|---|---|
| LMArena Hard Prompts | 1422 | 1104 |
| Epoch Capabilities Index | 145.85 | 117.39 |
| NYT Connections (extended) | 24.7% | — |
| CritPt | 0.6% | — |
| Thematic Generalization | 39.3% | — |
| BIG-Bench Hard | — | 71.7% |
Math MiniMax-M2.7 leads
MiniMax-M2.7: 25.9 (#263), Yi-34B: 21.6 (#282)
| Benchmark | MiniMax-M2.7 | Yi-34B |
|---|---|---|
| LMArena Math | 1420 | 1114 |
| ProofBench | 3% | — |
| MATH Level 5 | — | 5.1% |
| GSM8K | — | 76% |
Knowledge MiniMax-M2.7 leads
MiniMax-M2.7: 37.7 (#152), Yi-34B: 7.5 (#309)
| Benchmark | MiniMax-M2.7 | Yi-34B |
|---|---|---|
| LMArena Expert | 1444 | 1061 |
| GPQA Diamond | — | 14.7% |
| Vectara Hallucination Rate | 12.9% | — |
| MMLU | — | 76.3% |
Multilingual MiniMax-M2.7 leads
MiniMax-M2.7: 50.3 (#123), Yi-34B: 29.7 (#264)
| Benchmark | MiniMax-M2.7 | Yi-34B |
|---|---|---|
| LMArena Non-English | 1382 | 1079 |
| LMArena Chinese | 1441 | 1176 |
| LMArena French | 1421 | 1081 |
| LMArena German | 1398 | 1042 |
| LMArena Japanese | 1262 | 993 |
| LMArena Korean | 1313 | 959 |
| LMArena Russian | 1383 | 1050 |
| LMArena Spanish | 1403 | 1070 |
Instruction Following MiniMax-M2.7 leads
MiniMax-M2.7: 74.1 (#103), Yi-34B: 56.2 (#274)
| Benchmark | MiniMax-M2.7 | Yi-34B |
|---|---|---|
| LMArena Instruction Following | 1405 | 1091 |
Long Context MiniMax-M2.7 leads
MiniMax-M2.7: 43.3 (#99), Yi-34B: 33.2 (#264)
| Benchmark | MiniMax-M2.7 | Yi-34B |
|---|---|---|
| LMArena Longer Query | 1419 | 1094 |
Writing & Preference MiniMax-M2.7 leads
MiniMax-M2.7: 58.9 (#112), Yi-34B: 34.1 (#273)
| Benchmark | MiniMax-M2.7 | Yi-34B |
|---|---|---|
| LMArena Text | 1405 | 1129 |
| LMArena Creative Writing | 1354 | 1108 |
| LMArena Multi-Turn | 1412 | 1113 |
Frequently asked questions
Is MiniMax-M2.7 better than Yi-34B?
MiniMax-M2.7 is the stronger model overall, scoring 37.7 to 27.8 on the Noometry Index.
Is MiniMax-M2.7 or Yi-34B better for coding?
MiniMax-M2.7 scores higher on coding benchmarks: 41.8 versus 32.3 in the Noometry coding category.
How many benchmarks do MiniMax-M2.7 and Yi-34B share?
18 benchmarks have published results for both models. MiniMax-M2.7 has 30 scored results on Noometry and Yi-34B has 23.