Model comparison
Kimi K2.5 vs MiniMax-M2.7
Kimi K2.5 is the stronger model overall, scoring 47.8 to 37.4 on the Noometry Index. MiniMax-M2.7 costs 1.7× less per token, which makes it the better buy when Kimi K2.5's lead doesn't matter for your workload.
Last verified . 27 shared benchmarks.
MiniMaxSummary
- They share 27 benchmarks with published results for both. Kimi K2.5 scores higher in 9 categories and MiniMax-M2.7 in 0 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in math, where Kimi K2.5 leads 50.3 to 24.9.
- The biggest single-benchmark swing is NYT Connections (extended): 69.9% for Kimi K2.5 and 24.7% for MiniMax-M2.7.
- MiniMax-M2.7 is cheaper at $0.30 / $1.20 per million input/output tokens, against $0.45 / $2.25 for Kimi K2.5.
- Kimi K2.5 accepts more context: 262K tokens versus 205K.
Side by side
| Kimi K2.5 | MiniMax-M2.7 | |
|---|---|---|
| Provider | Moonshot AI | MiniMax |
| Noometry Index | 47.8 | 37.4 |
| Released | 2026-01-27 | 2026-03-18 |
| Weights | Open | Open |
| Context window | 262K | 205K |
| Max output | 262K | 131K |
| Input $ / M tokens | $0.45 | $0.30 |
| Output $ / M tokens | $2.25 | $1.20 |
| Results tracked | 51 | 30 |
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Category by category
Coding Kimi K2.5 leads
Kimi K2.5: 48.7 (#48), MiniMax-M2.7: 41.4 (#115)
| Benchmark | Kimi K2.5 | MiniMax-M2.7 |
|---|---|---|
| LMArena WebDev | 1436 | 1397 |
| SciCode | 49% | 47% |
| WeirdML | 45.6% | 37% |
| LMArena Coding | 1474 | 1454 |
| ALE-Bench | 821.65 | 599.25 |
| SWE-bench Verified | 73.8% | — |
| SWE-bench Verified (bash only) | 70.8% | — |
| SWE-bench Multilingual | 67.3% | — |
Agentic & Tool Use Kimi K2.5 leads
Kimi K2.5: 34.0 (#44), MiniMax-M2.7: 24.9 (#103)
| Benchmark | Kimi K2.5 | MiniMax-M2.7 |
|---|---|---|
| Terminal-Bench | 43.2% | 45.1% |
| OSWorld | 63.3% | — |
| ExploitBench | — | 13.3% |
| GBAEval | — | 0% |
| Vending-Bench 2 | 1,198 | — |
Reasoning Kimi K2.5 leads
Kimi K2.5: 31.2 (#74), MiniMax-M2.7: 19.0 (#248)
| Benchmark | Kimi K2.5 | MiniMax-M2.7 |
|---|---|---|
| NYT Connections (extended) | 69.9% | 24.7% |
| CritPt | 3.1% | 0.6% |
| Thematic Generalization | 69.4% | 39.3% |
| LMArena Hard Prompts | 1454 | 1422 |
| Epoch Capabilities Index | 148.05 | 145.84 |
| ARC-AGI-2 | 11.8% | — |
| SimpleBench | 46.8% | — |
| Kagi LLM Benchmark | 78.5% | — |
| ARC-AGI-1 | 65.3% | — |
| Chess Puzzles | 12% | — |
| EnigmaEval | 3.4% | — |
Math Kimi K2.5 leads
Kimi K2.5: 50.3 (#46), MiniMax-M2.7: 24.9 (#254)
| Benchmark | Kimi K2.5 | MiniMax-M2.7 |
|---|---|---|
| LMArena Math | 1470 | 1420 |
| MathArena Final-Answer Competitions | 62.3% | — |
| OTIS Mock AIME 2024-2025 | 92.2% | — |
| ProofBench | — | 3% |
| FrontierMath (Feb 2025 set) | 27.9% | — |
| FrontierMath Tier 4 (v1) | 4.2% | — |
Knowledge Kimi K2.5 leads
Kimi K2.5: 53.6 (#52), MiniMax-M2.7: 37.1 (#151)
| Benchmark | Kimi K2.5 | MiniMax-M2.7 |
|---|---|---|
| Vectara Hallucination Rate | 14.2% | 12.9% |
| LMArena Expert | 1466 | 1443 |
| GPQA Diamond | 87.6% | — |
| Humanity's Last Exam | 24.4% | — |
| SimpleQA Verified | 34.3% | — |
Multimodal Not comparable
Kimi K2.5: 40.4 (#37), MiniMax-M2.7: —
| Benchmark | Kimi K2.5 | MiniMax-M2.7 |
|---|---|---|
| LMArena Vision | 1269 | — |
| LMArena Document | 1430 | — |
Multilingual Kimi K2.5 leads
Kimi K2.5: 54.1 (#50), MiniMax-M2.7: 50.5 (#120)
| Benchmark | Kimi K2.5 | MiniMax-M2.7 |
|---|---|---|
| LMArena Non-English | 1433 | 1382 |
| LMArena Chinese | 1495 | 1439 |
| LMArena French | 1454 | 1422 |
| LMArena German | 1441 | 1398 |
| LMArena Japanese | 1422 | 1261 |
| LMArena Korean | 1412 | 1313 |
| LMArena Russian | 1436 | 1383 |
| LMArena Spanish | 1450 | 1403 |
Instruction Following Kimi K2.5 leads
Kimi K2.5: 75.5 (#60), MiniMax-M2.7: 74.2 (#101)
| Benchmark | Kimi K2.5 | MiniMax-M2.7 |
|---|---|---|
| LMArena Instruction Following | 1431 | 1404 |
Long Context Kimi K2.5 leads
Kimi K2.5: 52.1 (#7), MiniMax-M2.7: 43.3 (#94)
| Benchmark | Kimi K2.5 | MiniMax-M2.7 |
|---|---|---|
| LMArena Longer Query | 1445 | 1419 |
| Fiction.LiveBench | 86.1% | — |
| CL-bench | 19.3% | — |
| CL-bench Life | 13.2% | — |
Writing & Preference Kimi K2.5 leads
Kimi K2.5: 65.3 (#51), MiniMax-M2.7: 59.1 (#107)
| Benchmark | Kimi K2.5 | MiniMax-M2.7 |
|---|---|---|
| LMArena Text | 1445 | 1404 |
| LMArena Creative Writing | 1423 | 1354 |
| LMArena Multi-Turn | 1444 | 1413 |
| EQ-Bench Creative Writing | 1579 | — |
Frequently asked questions
Is Kimi K2.5 better than MiniMax-M2.7?
Kimi K2.5 is the stronger model overall, scoring 47.8 to 37.4 on the Noometry Index. MiniMax-M2.7 costs 1.7× less per token, which makes it the better buy when Kimi K2.5's lead doesn't matter for your workload.
Which is cheaper, Kimi K2.5 or MiniMax-M2.7?
MiniMax-M2.7 is cheaper. It lists at $0.30 per million input tokens and $1.20 per million output tokens; Kimi K2.5 lists at $0.45 and $2.25.
Is Kimi K2.5 or MiniMax-M2.7 better for coding?
Kimi K2.5 scores higher on coding benchmarks: 48.7 versus 41.4 in the Noometry coding category.
Which has the bigger context window?
Kimi K2.5 does, with 262K tokens against 205K.
How many benchmarks do Kimi K2.5 and MiniMax-M2.7 share?
27 benchmarks have published results for both models. Kimi K2.5 has 51 scored results on Noometry and MiniMax-M2.7 has 30.