Model comparison
Gemini 2.5 Pro vs MiniMax M1
Gemini 2.5 Pro is the stronger model overall, scoring 45.0 to 40.3 on the Noometry Index. MiniMax M1 costs 3.6× less per token, which makes it the better buy when Gemini 2.5 Pro's lead doesn't matter for your workload.
Last verified . 18 shared benchmarks.
Google
MiniMaxSummary
- They share 18 benchmarks with published results for both. Gemini 2.5 Pro scores higher in 7 categories and MiniMax M1 in 1 category; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Gemini 2.5 Pro leads 56.0 to 36.4.
- The biggest single-benchmark swing is Fiction.LiveBench: 91.7% for Gemini 2.5 Pro and 69.4% for MiniMax M1.
- MiniMax M1 is cheaper at $0.55 / $2.20 per million input/output tokens, against $1.25 / $10 for Gemini 2.5 Pro.
- Gemini 2.5 Pro accepts more context: 1.05M tokens versus 1M.
- MiniMax M1 has downloadable open weights; the other is API-only.
Side by side
| Gemini 2.5 Pro | MiniMax M1 | |
|---|---|---|
| Provider | MiniMax | |
| Noometry Index | 45.0 | 40.3 |
| Released | 2025-03-25 | 2025-06-13 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 1M |
| Max output | 66K | 40K |
| Input $ / M tokens | $1.25 | $0.55 |
| Output $ / M tokens | $10 | $2.20 |
| Results tracked | 78 | 18 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Gemini 2.5 Pro leads
Gemini 2.5 Pro: 42.4 (#101), MiniMax M1: 39.9 (#153)
| Benchmark | Gemini 2.5 Pro | MiniMax M1 |
|---|---|---|
| LMArena Coding | 1452 | 1359 |
| SWE-bench Verified | 57.6% | — |
| SWE-bench Verified (bash only) | 53.6% | — |
| Aider Polyglot | 83.1% | — |
| LMArena WebDev | 1227 | — |
| SciCode | 42.8% | — |
| GSO | 3.9% | — |
| WeirdML | 54% | — |
| LiveBench Coding | 85.9% | — |
| CadEval | 64% | — |
| ALE-Bench | 785.52 | — |
| AlgoTune | 1.51 | — |
Agentic & Tool Use Not comparable
Gemini 2.5 Pro: 29.2 (#88), MiniMax M1: —
| Benchmark | Gemini 2.5 Pro | MiniMax M1 |
|---|---|---|
| Terminal-Bench | 32.6% | — |
| GDPval | 23.3% | — |
| Remote Labor Index | 0.8% | — |
| TheAgentCompany | 30.3% | — |
| τ²-bench Banking | 13.7% | — |
| DeepResearch Bench | 42.8% | — |
| BALROG | 43.3% | — |
| LMArena Search | 1142 | — |
| METR Time Horizons | 55.4% | — |
| Vending-Bench 2 | 573.64 | — |
Reasoning Gemini 2.5 Pro leads
Gemini 2.5 Pro: 28.8 (#99), MiniMax M1: 26.9 (#126)
| Benchmark | Gemini 2.5 Pro | MiniMax M1 |
|---|---|---|
| LMArena Hard Prompts | 1455 | 1339 |
| ARC-AGI-2 | 4.9% | — |
| SimpleBench | 62.4% | — |
| Kagi LLM Benchmark | 70.3% | — |
| ARC-AGI-1 | 41% | — |
| CritPt | 2% | — |
| Chess Puzzles | 20% | — |
| EnigmaEval | 5.6% | — |
| LiveBench Reasoning | 89.8% | — |
| DTBench | 82.4% | — |
| LiveBench Data Analysis | 79.9% | — |
| LMCA | 34.8% | — |
| Epoch Capabilities Index | 145.32 | — |
| ForecastBench | 61.3 | — |
| LiveBench | 82.3% | — |
Math MiniMax M1 leads
Gemini 2.5 Pro: 32.5 (#213), MiniMax M1: 37.5 (#151)
| Benchmark | Gemini 2.5 Pro | MiniMax M1 |
|---|---|---|
| LMArena Math | 1450 | 1361 |
| FrontierMath (Tiers 1-3) | 24.6% | — |
| FrontierMath Tier 4 | 0% | — |
| OTIS Mock AIME 2024-2025 | 84.7% | — |
| Omni-MATH | 41.6% | — |
| LiveBench Math | 90.2% | — |
| MATH Level 5 | 95.9% | — |
| FrontierMath (Feb 2025 set) | 14.1% | — |
| FrontierMath Tier 4 (v1) | 4.2% | — |
Knowledge Gemini 2.5 Pro leads
Gemini 2.5 Pro: 56.0 (#46), MiniMax M1: 36.4 (#170)
| Benchmark | Gemini 2.5 Pro | MiniMax M1 |
|---|---|---|
| LMArena Expert | 1452 | 1317 |
| GPQA Diamond | 85.3% | — |
| Humanity's Last Exam | 21.6% | — |
| MMLU-Pro | 86.3% | — |
| Confabulations | 10.6% | — |
| Vectara Hallucination Rate | 7% | — |
| GPQA (HELM) | 74.9% | — |
Multimodal Not comparable
Gemini 2.5 Pro: 45.2 (#18), MiniMax M1: —
| Benchmark | Gemini 2.5 Pro | MiniMax M1 |
|---|---|---|
| LMArena Vision | 1263 | — |
| GeoBench | 86% | — |
| VPCT | 48% | — |
| LMArena Document | 1421 | — |
| SpatialViz-Bench | 44.7% | — |
Multilingual Gemini 2.5 Pro leads
Gemini 2.5 Pro: 55.3 (#31), MiniMax M1: 45.8 (#163)
| Benchmark | Gemini 2.5 Pro | MiniMax M1 |
|---|---|---|
| LMArena Non-English | 1451 | 1319 |
| LMArena Chinese | 1507 | 1360 |
| LMArena French | 1472 | 1370 |
| LMArena German | 1487 | 1350 |
| LMArena Japanese | 1461 | 1217 |
| LMArena Korean | 1434 | 1266 |
| LMArena Russian | 1461 | 1329 |
| LMArena Spanish | 1473 | 1353 |
Instruction Following Gemini 2.5 Pro leads
Gemini 2.5 Pro: 75.0 (#75), MiniMax M1: 69.3 (#174)
| Benchmark | Gemini 2.5 Pro | MiniMax M1 |
|---|---|---|
| LMArena Instruction Following | 1437 | 1312 |
| LiveBench Instruction Following | 80.6% | — |
| IFEval | 84% | — |
Long Context Gemini 2.5 Pro leads
Gemini 2.5 Pro: 59.8 (#5), MiniMax M1: 41.4 (#141)
| Benchmark | Gemini 2.5 Pro | MiniMax M1 |
|---|---|---|
| Fiction.LiveBench | 91.7% | 69.4% |
| LMArena Longer Query | 1449 | 1326 |
Writing & Preference Gemini 2.5 Pro leads
Gemini 2.5 Pro: 63.7 (#62), MiniMax M1: 53.1 (#161)
| Benchmark | Gemini 2.5 Pro | MiniMax M1 |
|---|---|---|
| LMArena Text | 1458 | 1343 |
| LMArena Creative Writing | 1454 | 1298 |
| LMArena Multi-Turn | 1453 | 1335 |
| Short-Story Creative Writing | 83.8% | — |
| EQ-Bench Creative Writing | 1421 | — |
| WildBench | 85.7% | — |
| LiveBench Language | 67.8% | — |
Frequently asked questions
Is Gemini 2.5 Pro better than MiniMax M1?
Gemini 2.5 Pro is the stronger model overall, scoring 45.0 to 40.3 on the Noometry Index. MiniMax M1 costs 3.6× less per token, which makes it the better buy when Gemini 2.5 Pro's lead doesn't matter for your workload.
Which is cheaper, Gemini 2.5 Pro or MiniMax M1?
MiniMax M1 is cheaper. It lists at $0.55 per million input tokens and $2.20 per million output tokens; Gemini 2.5 Pro lists at $1.25 and $10.
Is Gemini 2.5 Pro or MiniMax M1 better for coding?
Gemini 2.5 Pro scores higher on coding benchmarks: 42.4 versus 39.9 in the Noometry coding category.
Which has the bigger context window?
Gemini 2.5 Pro does, with 1.05M tokens against 1M.
How many benchmarks do Gemini 2.5 Pro and MiniMax M1 share?
18 benchmarks have published results for both models. Gemini 2.5 Pro has 78 scored results on Noometry and MiniMax M1 has 18.