Model comparison
Gemini 1.5 Flash (May 2024) vs MiniMax-M2.5
MiniMax-M2.5 is the stronger model overall, scoring 38.3 to 33.2 on the Noometry Index.
Last verified . 18 shared benchmarks.
Summary
- They share 18 benchmarks with published results for both. Gemini 1.5 Flash (May 2024) scores higher in 2 categories and MiniMax-M2.5 in 7 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in coding, where MiniMax-M2.5 leads 48.1 to 34.4.
- MiniMax-M2.5 has downloadable open weights; the other is API-only.
Side by side
| Gemini 1.5 Flash (May 2024) | MiniMax-M2.5 | |
|---|---|---|
| Provider | MiniMax | |
| Noometry Index | 33.2 | 38.3 |
| Released | 2024-05-14 | 2026-02-12 |
| Weights | Proprietary | Open |
| Context window | — | 205K |
| Max output | — | 131K |
| Input $ / M tokens | — | $0.30 |
| Output $ / M tokens | — | $1.20 |
| Results tracked | 42 | 33 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding MiniMax-M2.5 leads
Gemini 1.5 Flash (May 2024): 34.4 (#236), MiniMax-M2.5: 48.1 (#58)
| Benchmark | Gemini 1.5 Flash (May 2024) | MiniMax-M2.5 |
|---|---|---|
| LMArena Coding | 1261 | 1381 |
| SWE-bench Verified (bash only) | — | 75.8% |
| LMArena WebDev | — | 1387 |
| SWE-bench Multilingual | — | 68.3% |
| WeirdML | 24.9% | — |
| BigCodeBench Instruct | 43.5% | — |
| BigCodeBench Complete | 55.1% | — |
| ALE-Bench | — | 618.17 |
| HumanEval+ | 75.6% | — |
| MBPP+ | 67.5% | — |
Agentic & Tool Use MiniMax-M2.5 leads
Gemini 1.5 Flash (May 2024): 26.6 (#102), MiniMax-M2.5: 30.4 (#77)
| Benchmark | Gemini 1.5 Flash (May 2024) | MiniMax-M2.5 |
|---|---|---|
| Terminal-Bench | — | 42.7% |
| BALROG | 14.6% | — |
| Vending-Bench 2 | — | -23.16 |
Reasoning Gemini 1.5 Flash (May 2024) leads
Gemini 1.5 Flash (May 2024): 21.7 (#215), MiniMax-M2.5: 17.5 (#292)
| Benchmark | Gemini 1.5 Flash (May 2024) | MiniMax-M2.5 |
|---|---|---|
| LMArena Hard Prompts | 1257 | 1372 |
| Epoch Capabilities Index | 129.36 | 146.68 |
| ARC-AGI-2 | — | 4.9% |
| Kagi LLM Benchmark | — | 55.2% |
| NYT Connections (extended) | — | 16.8% |
| ARC-AGI-1 | — | 63.7% |
| DTBench | 53.8% | — |
| ForecastBench | 53.9 | — |
| PIQA | 87.5% | — |
Math MiniMax-M2.5 leads
Gemini 1.5 Flash (May 2024): 22.1 (#281), MiniMax-M2.5: 26.9 (#253)
| Benchmark | Gemini 1.5 Flash (May 2024) | MiniMax-M2.5 |
|---|---|---|
| LMArena Math | 1269 | 1378 |
| OTIS Mock AIME 2024-2025 | 16.3% | — |
| ProofBench | — | 4% |
| Omni-MATH | 30.4% | — |
| MATH Level 5 | 61.9% | — |
| FrontierMath (Feb 2025 set) | 0% | — |
| GSM8K | 82.4% | — |
Knowledge MiniMax-M2.5 leads
Gemini 1.5 Flash (May 2024): 26.2 (#260), MiniMax-M2.5: 39.2 (#135)
| Benchmark | Gemini 1.5 Flash (May 2024) | MiniMax-M2.5 |
|---|---|---|
| LMArena Expert | 1233 | 1379 |
| GPQA Diamond | 47.3% | — |
| MMLU-Pro | 67.8% | — |
| Vectara Hallucination Rate | — | 9.1% |
| GPQA (HELM) | 43.7% | — |
| BoolQ | 85.8% | — |
| MMLU | 77.9% | — |
Multimodal Not comparable
Gemini 1.5 Flash (May 2024): 36.0 (#81), MiniMax-M2.5: —
| Benchmark | Gemini 1.5 Flash (May 2024) | MiniMax-M2.5 |
|---|---|---|
| LMArena Vision | 1141 | — |
| Video-MME | 70.3% | — |
| GeoBench | 76% | — |
Multilingual MiniMax-M2.5 leads
Gemini 1.5 Flash (May 2024): 42.9 (#189), MiniMax-M2.5: 47.1 (#152)
| Benchmark | Gemini 1.5 Flash (May 2024) | MiniMax-M2.5 |
|---|---|---|
| LMArena Non-English | 1278 | 1338 |
| LMArena Chinese | 1295 | 1393 |
| LMArena French | 1258 | 1362 |
| LMArena German | 1262 | 1362 |
| LMArena Japanese | 1252 | 1171 |
| LMArena Korean | 1221 | 1232 |
| LMArena Russian | 1288 | 1358 |
| LMArena Spanish | 1243 | 1354 |
Instruction Following MiniMax-M2.5 leads
Gemini 1.5 Flash (May 2024): 66.8 (#205), MiniMax-M2.5: 71.5 (#148)
| Benchmark | Gemini 1.5 Flash (May 2024) | MiniMax-M2.5 |
|---|---|---|
| LMArena Instruction Following | 1258 | 1353 |
| IFEval | 83.1% | — |
Long Context Gemini 1.5 Flash (May 2024) leads
Gemini 1.5 Flash (May 2024): 39.0 (#187), MiniMax-M2.5: 37.5 (#216)
| Benchmark | Gemini 1.5 Flash (May 2024) | MiniMax-M2.5 |
|---|---|---|
| LMArena Longer Query | 1284 | 1366 |
| CL-bench | — | 11.4% |
| CL-bench Life | — | 6.3% |
Writing & Preference MiniMax-M2.5 leads
Gemini 1.5 Flash (May 2024): 48.7 (#196), MiniMax-M2.5: 53.9 (#153)
| Benchmark | Gemini 1.5 Flash (May 2024) | MiniMax-M2.5 |
|---|---|---|
| LMArena Text | 1287 | 1359 |
| LMArena Creative Writing | 1285 | 1331 |
| LMArena Multi-Turn | 1253 | 1364 |
| EQ-Bench Creative Writing | — | 1361 |
| WildBench | 79.2% | — |
Frequently asked questions
Is Gemini 1.5 Flash (May 2024) better than MiniMax-M2.5?
MiniMax-M2.5 is the stronger model overall, scoring 38.3 to 33.2 on the Noometry Index.
Is Gemini 1.5 Flash (May 2024) or MiniMax-M2.5 better for coding?
MiniMax-M2.5 scores higher on coding benchmarks: 48.1 versus 34.4 in the Noometry coding category.
How many benchmarks do Gemini 1.5 Flash (May 2024) and MiniMax-M2.5 share?
18 benchmarks have published results for both models. Gemini 1.5 Flash (May 2024) has 42 scored results on Noometry and MiniMax-M2.5 has 33.