Model comparison
MiniMax-M2 vs Yi-34B
MiniMax-M2 is the stronger model overall, scoring 37.4 to 27.8 on the Noometry Index.
Last verified . 15 shared benchmarks.
Summary
- They share 15 benchmarks with published results for both. MiniMax-M2 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 leads 37.0 to 7.5.
Side by side
| MiniMax-M2 | Yi-34B | |
|---|---|---|
| Provider | MiniMax | 01.AI |
| Noometry Index | 37.4 | 27.8 |
| Released | 2025-10-27 | 2023-11-02 |
| Weights | Open | Open |
| Context window | 205K | — |
| Max output | 131K | — |
| Input $ / M tokens | $0.30 | — |
| Output $ / M tokens | $1.20 | — |
| Results tracked | 21 | 23 |
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Category by category
Coding MiniMax-M2 leads
MiniMax-M2: 39.3 (#159), Yi-34B: 32.3 (#274)
| Benchmark | MiniMax-M2 | Yi-34B |
|---|---|---|
| LMArena Coding | 1370 | 1112 |
| SWE-bench Verified (bash only) | 61% | — |
| LMArena WebDev | 1297 | — |
Agentic & Tool Use Not comparable
MiniMax-M2: 25.1 (#109), Yi-34B: —
| Benchmark | MiniMax-M2 | Yi-34B |
|---|---|---|
| Terminal-Bench | 30% | — |
| Vending-Bench 2 | 160.6 | — |
Reasoning Yi-34B leads
MiniMax-M2: 19.4 (#258), Yi-34B: 21.2 (#226)
| Benchmark | MiniMax-M2 | Yi-34B |
|---|---|---|
| LMArena Hard Prompts | 1357 | 1104 |
| Kagi LLM Benchmark | 57.8% | — |
| NYT Connections (extended) | 14.8% | — |
| BIG-Bench Hard | — | 71.7% |
| Epoch Capabilities Index | — | 117.39 |
Math MiniMax-M2 leads
MiniMax-M2: 37.3 (#160), Yi-34B: 21.6 (#282)
| Benchmark | MiniMax-M2 | Yi-34B |
|---|---|---|
| LMArena Math | 1352 | 1114 |
| MATH Level 5 | — | 5.1% |
| GSM8K | — | 76% |
Knowledge MiniMax-M2 leads
MiniMax-M2: 37.0 (#163), Yi-34B: 7.5 (#309)
| Benchmark | MiniMax-M2 | Yi-34B |
|---|---|---|
| LMArena Expert | 1337 | 1061 |
| GPQA Diamond | — | 14.7% |
| MMLU | — | 76.3% |
Multilingual MiniMax-M2 leads
MiniMax-M2: 45.3 (#171), Yi-34B: 29.7 (#264)
| Benchmark | MiniMax-M2 | Yi-34B |
|---|---|---|
| LMArena Non-English | 1313 | 1079 |
| LMArena Chinese | 1366 | 1176 |
| LMArena French | 1335 | 1081 |
| LMArena German | 1355 | 1042 |
| LMArena Russian | 1331 | 1050 |
| LMArena Spanish | 1326 | 1070 |
| LMArena Japanese | — | 993 |
| LMArena Korean | — | 959 |
Instruction Following MiniMax-M2 leads
MiniMax-M2: 70.2 (#166), Yi-34B: 56.2 (#274)
| Benchmark | MiniMax-M2 | Yi-34B |
|---|---|---|
| LMArena Instruction Following | 1328 | 1091 |
Long Context MiniMax-M2 leads
MiniMax-M2: 40.5 (#153), Yi-34B: 33.2 (#264)
| Benchmark | MiniMax-M2 | Yi-34B |
|---|---|---|
| LMArena Longer Query | 1331 | 1094 |
Writing & Preference MiniMax-M2 leads
MiniMax-M2: 53.0 (#162), Yi-34B: 34.1 (#273)
| Benchmark | MiniMax-M2 | Yi-34B |
|---|---|---|
| LMArena Text | 1340 | 1129 |
| LMArena Creative Writing | 1286 | 1108 |
| LMArena Multi-Turn | 1361 | 1113 |
Frequently asked questions
Is MiniMax-M2 better than Yi-34B?
MiniMax-M2 is the stronger model overall, scoring 37.4 to 27.8 on the Noometry Index.
Is MiniMax-M2 or Yi-34B better for coding?
MiniMax-M2 scores higher on coding benchmarks: 39.3 versus 32.3 in the Noometry coding category.
How many benchmarks do MiniMax-M2 and Yi-34B share?
15 benchmarks have published results for both models. MiniMax-M2 has 21 scored results on Noometry and Yi-34B has 23.