Model comparison
Gemini 2.5 Flash-Lite vs MiniMax M1
MiniMax M1 is the stronger model overall, scoring 40.3 to 37.0 on the Noometry Index. Gemini 2.5 Flash-Lite costs 5.5× less per token, which makes it the better buy when MiniMax M1's lead doesn't matter for your workload.
Last verified . 18 shared benchmarks.
Summary
- They share 18 benchmarks with published results for both. Gemini 2.5 Flash-Lite scores higher in 4 categories and MiniMax M1 in 4 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in long context, where MiniMax M1 leads 41.4 to 33.3.
- The biggest single-benchmark swing is Fiction.LiveBench: 47.2% for Gemini 2.5 Flash-Lite and 69.4% for MiniMax M1.
- Gemini 2.5 Flash-Lite is cheaper at $0.10 / $0.40 per million input/output tokens, against $0.55 / $2.20 for MiniMax M1.
- Gemini 2.5 Flash-Lite 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 Flash-Lite | MiniMax M1 | |
|---|---|---|
| Provider | MiniMax | |
| Noometry Index | 37.0 | 40.3 |
| Released | 2025-06-17 | 2025-06-13 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 1M |
| Max output | 66K | 40K |
| Input $ / M tokens | $0.10 | $0.55 |
| Output $ / M tokens | $0.40 | $2.20 |
| Results tracked | 33 | 18 |
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Category by category
Coding MiniMax M1 leads
Gemini 2.5 Flash-Lite: 38.5 (#173), MiniMax M1: 39.9 (#153)
| Benchmark | Gemini 2.5 Flash-Lite | MiniMax M1 |
|---|---|---|
| LMArena Coding | 1373 | 1359 |
| WeirdML | 35.2% | — |
| ALE-Bench | 325.9 | — |
Agentic & Tool Use Not comparable
Gemini 2.5 Flash-Lite: 28.0 (#96), MiniMax M1: —
| Benchmark | Gemini 2.5 Flash-Lite | MiniMax M1 |
|---|---|---|
| Berkeley Function Calling Leaderboard | 36.9% | — |
Reasoning MiniMax M1 leads
Gemini 2.5 Flash-Lite: 22.2 (#205), MiniMax M1: 26.9 (#126)
| Benchmark | Gemini 2.5 Flash-Lite | MiniMax M1 |
|---|---|---|
| LMArena Hard Prompts | 1377 | 1339 |
| Kagi LLM Benchmark | 40.5% | — |
| DTBench | 62.8% | — |
| LMCA | 18.1% | — |
| Epoch Capabilities Index | 133.94 | — |
Math Too close to call
Gemini 2.5 Flash-Lite: 38.0 (#144), MiniMax M1: 37.5 (#151)
| Benchmark | Gemini 2.5 Flash-Lite | MiniMax M1 |
|---|---|---|
| LMArena Math | 1373 | 1361 |
| Omni-MATH | 48% | — |
Knowledge MiniMax M1 leads
Gemini 2.5 Flash-Lite: 32.5 (#210), MiniMax M1: 36.4 (#170)
| Benchmark | Gemini 2.5 Flash-Lite | MiniMax M1 |
|---|---|---|
| LMArena Expert | 1373 | 1317 |
| MMLU-Pro | 53.7% | — |
| Vectara Hallucination Rate | 3.3% | — |
| GPQA (HELM) | 30.9% | — |
Multimodal Not comparable
Gemini 2.5 Flash-Lite: 29.1 (#114), MiniMax M1: —
| Benchmark | Gemini 2.5 Flash-Lite | MiniMax M1 |
|---|---|---|
| LMArena Vision | 1198 | — |
| VPCT | 30% | — |
Multilingual Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 49.3 (#134), MiniMax M1: 45.8 (#163)
| Benchmark | Gemini 2.5 Flash-Lite | MiniMax M1 |
|---|---|---|
| LMArena Non-English | 1369 | 1319 |
| LMArena Chinese | 1404 | 1360 |
| LMArena French | 1388 | 1370 |
| LMArena German | 1389 | 1350 |
| LMArena Japanese | 1359 | 1217 |
| LMArena Korean | 1360 | 1266 |
| LMArena Russian | 1373 | 1329 |
| LMArena Spanish | 1396 | 1353 |
Instruction Following Too close to call
Gemini 2.5 Flash-Lite: 70.0 (#168), MiniMax M1: 69.3 (#174)
| Benchmark | Gemini 2.5 Flash-Lite | MiniMax M1 |
|---|---|---|
| LMArena Instruction Following | 1367 | 1312 |
| IFEval | 81% | — |
Long Context MiniMax M1 leads
Gemini 2.5 Flash-Lite: 33.3 (#262), MiniMax M1: 41.4 (#141)
| Benchmark | Gemini 2.5 Flash-Lite | MiniMax M1 |
|---|---|---|
| Fiction.LiveBench | 47.2% | 69.4% |
| LMArena Longer Query | 1373 | 1326 |
Writing & Preference Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 56.8 (#135), MiniMax M1: 53.1 (#161)
| Benchmark | Gemini 2.5 Flash-Lite | MiniMax M1 |
|---|---|---|
| LMArena Text | 1379 | 1343 |
| LMArena Creative Writing | 1367 | 1298 |
| LMArena Multi-Turn | 1366 | 1335 |
| WildBench | 81.8% | — |
Frequently asked questions
Is Gemini 2.5 Flash-Lite better than MiniMax M1?
MiniMax M1 is the stronger model overall, scoring 40.3 to 37.0 on the Noometry Index. Gemini 2.5 Flash-Lite costs 5.5× less per token, which makes it the better buy when MiniMax M1's lead doesn't matter for your workload.
Which is cheaper, Gemini 2.5 Flash-Lite or MiniMax M1?
Gemini 2.5 Flash-Lite is cheaper. It lists at $0.10 per million input tokens and $0.40 per million output tokens; MiniMax M1 lists at $0.55 and $2.20.
Is Gemini 2.5 Flash-Lite or MiniMax M1 better for coding?
MiniMax M1 scores higher on coding benchmarks: 39.9 versus 38.5 in the Noometry coding category.
Which has the bigger context window?
Gemini 2.5 Flash-Lite does, with 1.05M tokens against 1M.
How many benchmarks do Gemini 2.5 Flash-Lite and MiniMax M1 share?
18 benchmarks have published results for both models. Gemini 2.5 Flash-Lite has 33 scored results on Noometry and MiniMax M1 has 18.