BlogLLM Benchmark Scores as Published, Side by Side
MiniMax M2.5: Benchmark Scores as Published
Every result the catalog holds for MiniMax M2.5: 14 tests in 8 areas, from 3 pages. All were printed by MiniMax itself. Each number is as printed; nothing is ranked or rescored.
Developer MiniMaxReleased 2026-02-12Input TextOutput TextWeights Open (Modified MIT License)Data version 2026103001, as of 2026-10-30
Agentic Coding
| Test | Value | Printed by | Setup as printed |
|---|---|---|---|
| SWE-bench Verified | 79.7% | MiniMax, MiniMax-M2.5 model cardchecked 2026-10-15 | Harness: Droid scaffold, default prompt |
| 76.1% | MiniMax, MiniMax-M2.5 model cardchecked 2026-10-15 | Harness: OpenCode scaffold, default prompt | |
| SWE-Bench Pro | 55.4% | MiniMax, MiniMax-M2.7 model cardchecked 2026-10-15 | - |
| Multi-SWE-bench | 51.3% | MiniMax, MiniMax-M2.7 model cardchecked 2026-10-15 | - |
| VIBE-Pro | 54.2% | MiniMax, MiniMax-M2.7 model cardchecked 2026-10-15 | - |
ML Engineering
| Test | Value | Printed by | Setup as printed |
|---|---|---|---|
| MLE-bench Lite (medal rate) | 51.5% | MiniMax, MiniMax-M2.7 model cardchecked 2026-10-15 | - |
Science and Math
| Test | Value | Printed by | Setup as printed |
|---|---|---|---|
| GPQA Diamond | 85.2% | MiniMax, MiniMax-M2.5 model cardchecked 2026-10-15 | - |
| AIME 2025 | 86.3% | MiniMax, MiniMax-M2.5 model cardchecked 2026-10-15 | - |
| SciCode | 44.4% | MiniMax, MiniMax-M2.5 model cardchecked 2026-10-15 | - |
Long Context
| Test | Value | Printed by | Setup as printed |
|---|---|---|---|
| AA-LCR | 69.5% | MiniMax, MiniMax-M2.5 model cardchecked 2026-10-15 | - |
General Knowledge and Reasoning
| Test | Value | Printed by | Setup as printed |
|---|---|---|---|
| Humanity's Last Exam (no tools) | 19.4% | MiniMax, MiniMax-M2.5 model cardchecked 2026-10-15 | Tools: none |
Tool Use and Workflows
| Test | Value | Printed by | Setup as printed |
|---|---|---|---|
| Toolathlon | 38.3% | MiniMax, MiniMax-M2.7 model cardchecked 2026-10-15 | - |
| MM-ClawBench | 57.6% | MiniMax, MiniMax-M2.7 model cardchecked 2026-10-15 | - |
Instruction Following
| Test | Value | Printed by | Setup as printed |
|---|---|---|---|
| IFBench | 70 | MiniMax, MiniMax-M2.5 model cardchecked 2026-10-15 | - |
Preference and Composite Rankings
| Test | Value | Printed by | Setup as printed |
|---|---|---|---|
| Artificial Analysis Intelligence Index | 42 | MiniMax, MiniMax-M2.7 model cardchecked 2026-10-15 | - |
Price
API list prices in US dollars per one million tokens, as printed on the developer's pricing page on the day checked. Cost per task is measured by Vals AI.
| Price | Value | Printed by | Setup as printed |
|---|---|---|---|
| Cost per taskVals AI, USD, lower is better | $2.2 | Vals AI, Vibe Code Bench v1.1 leaderboardchecked 2026-10-27 | Harness: OpenHands |
More from MiniMax
Every number here is read from the same catalog file as the benchmark table, data version 2026103001. Where one page printed the model under several setups, each value is listed. The catalog is public in armanobosyan/sugra-llm-benchmarks; a wrong number can be reported from the table, with Report an error under the value, or as an issue in that repository.