Model comparison
Mercury 2 vs MiniMax-M2.7
Mercury 2 is the stronger model overall, scoring 39.1 to 37.7 on the Noometry Index.
Last verified . 17 shared benchmarks.
Summary
- They share 17 benchmarks with published results for both. Mercury 2 scores higher in 1 category and MiniMax-M2.7 in 6 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in coding, where MiniMax-M2.7 leads 41.8 to 33.5.
- The biggest single-benchmark swing is SciCode: 38.7% for Mercury 2 and 47% for MiniMax-M2.7.
- Mercury 2 is cheaper at $0.25 / $0.75 per million input/output tokens, against $0.30 / $1.20 for MiniMax-M2.7.
- MiniMax-M2.7 accepts more context: 205K tokens versus 128K.
- MiniMax-M2.7 has downloadable open weights; the other is API-only.
Side by side
| Mercury 2 | MiniMax-M2.7 | |
|---|---|---|
| Provider | Inception | MiniMax |
| Noometry Index | 39.1 | 37.7 |
| Released | 2026-02-20 | 2026-03-18 |
| Weights | Proprietary | Open |
| Context window | 128K | 205K |
| Max output | 50K | 131K |
| Input $ / M tokens | $0.25 | $0.30 |
| Output $ / M tokens | $0.75 | $1.20 |
| Results tracked | 17 | 30 |
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Category by category
Coding MiniMax-M2.7 leads
Mercury 2: 33.5 (#255), MiniMax-M2.7: 41.8 (#120)
| Benchmark | Mercury 2 | MiniMax-M2.7 |
|---|---|---|
| LMArena WebDev | 1171 | 1398 |
| SciCode | 38.7% | 47% |
| WeirdML | 43.2% | 37% |
| LMArena Coding | 1391 | 1454 |
| ALE-Bench | 785.58 | 599.25 |
Agentic & Tool Use Not comparable
Mercury 2: —, MiniMax-M2.7: 25.1 (#111)
| Benchmark | Mercury 2 | MiniMax-M2.7 |
|---|---|---|
| Terminal-Bench | — | 45.1% |
| ExploitBench | — | 13.3% |
| GBAEval | — | 0% |
Reasoning Mercury 2 leads
Mercury 2: 23.8 (#170), MiniMax-M2.7: 19.7 (#253)
| Benchmark | Mercury 2 | MiniMax-M2.7 |
|---|---|---|
| CritPt | 0.8% | 0.6% |
| LMArena Hard Prompts | 1362 | 1422 |
| NYT Connections (extended) | — | 24.7% |
| Thematic Generalization | — | 39.3% |
| Epoch Capabilities Index | — | 145.85 |
Math Not comparable
Mercury 2: —, MiniMax-M2.7: 25.9 (#263)
| Benchmark | Mercury 2 | MiniMax-M2.7 |
|---|---|---|
| ProofBench | — | 3% |
| LMArena Math | — | 1420 |
Knowledge MiniMax-M2.7 leads
Mercury 2: 36.2 (#172), MiniMax-M2.7: 37.7 (#152)
| Benchmark | Mercury 2 | MiniMax-M2.7 |
|---|---|---|
| Vectara Hallucination Rate | 12.3% | 12.9% |
| LMArena Expert | 1358 | 1444 |
Multilingual MiniMax-M2.7 leads
Mercury 2: 46.6 (#157), MiniMax-M2.7: 50.3 (#123)
| Benchmark | Mercury 2 | MiniMax-M2.7 |
|---|---|---|
| LMArena Non-English | 1331 | 1382 |
| LMArena Chinese | 1417 | 1441 |
| LMArena Russian | 1304 | 1383 |
| LMArena French | — | 1421 |
| LMArena German | — | 1398 |
| LMArena Japanese | — | 1262 |
| LMArena Korean | — | 1313 |
| LMArena Spanish | — | 1403 |
Instruction Following MiniMax-M2.7 leads
Mercury 2: 70.2 (#165), MiniMax-M2.7: 74.1 (#103)
| Benchmark | Mercury 2 | MiniMax-M2.7 |
|---|---|---|
| LMArena Instruction Following | 1329 | 1405 |
Long Context MiniMax-M2.7 leads
Mercury 2: 40.5 (#154), MiniMax-M2.7: 43.3 (#99)
| Benchmark | Mercury 2 | MiniMax-M2.7 |
|---|---|---|
| LMArena Longer Query | 1330 | 1419 |
Writing & Preference MiniMax-M2.7 leads
Mercury 2: 53.8 (#155), MiniMax-M2.7: 58.9 (#112)
| Benchmark | Mercury 2 | MiniMax-M2.7 |
|---|---|---|
| LMArena Text | 1355 | 1405 |
| LMArena Creative Writing | 1289 | 1354 |
| LMArena Multi-Turn | 1358 | 1412 |
Frequently asked questions
Is Mercury 2 better than MiniMax-M2.7?
Mercury 2 is the stronger model overall, scoring 39.1 to 37.7 on the Noometry Index.
Which is cheaper, Mercury 2 or MiniMax-M2.7?
Mercury 2 is cheaper. It lists at $0.25 per million input tokens and $0.75 per million output tokens; MiniMax-M2.7 lists at $0.30 and $1.20.
Is Mercury 2 or MiniMax-M2.7 better for coding?
MiniMax-M2.7 scores higher on coding benchmarks: 41.8 versus 33.5 in the Noometry coding category.
Which has the bigger context window?
MiniMax-M2.7 does, with 205K tokens against 128K.
How many benchmarks do Mercury 2 and MiniMax-M2.7 share?
17 benchmarks have published results for both models. Mercury 2 has 17 scored results on Noometry and MiniMax-M2.7 has 30.