Model comparison
Gemini 2.5 Flash-Lite vs MiniMax-M2
Gemini 2.5 Flash-Lite and MiniMax-M2 score almost the same on the Noometry Index (37.0 vs 37.4), so choose on price, context window or the category you care about most.
Last verified . 16 shared benchmarks.
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MiniMaxSummary
- They share 16 benchmarks with published results for both. Gemini 2.5 Flash-Lite scores higher in 5 categories and MiniMax-M2 in 4 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in long context, where MiniMax-M2 leads 40.5 to 33.3.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 40.5% for Gemini 2.5 Flash-Lite and 57.8% for MiniMax-M2.
- Gemini 2.5 Flash-Lite is cheaper at $0.10 / $0.40 per million input/output tokens, against $0.30 / $1.20 for MiniMax-M2.
- Gemini 2.5 Flash-Lite accepts more context: 1.05M tokens versus 205K.
- MiniMax-M2 has downloadable open weights; the other is API-only.
Side by side
| Gemini 2.5 Flash-Lite | MiniMax-M2 | |
|---|---|---|
| Provider | MiniMax | |
| Noometry Index | 37.0 | 37.4 |
| Released | 2025-06-17 | 2025-10-27 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 205K |
| Max output | 66K | 131K |
| Input $ / M tokens | $0.10 | $0.30 |
| Output $ / M tokens | $0.40 | $1.20 |
| Results tracked | 33 | 21 |
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Category by category
Coding Too close to call
Gemini 2.5 Flash-Lite: 38.5 (#173), MiniMax-M2: 39.3 (#159)
| Benchmark | Gemini 2.5 Flash-Lite | MiniMax-M2 |
|---|---|---|
| LMArena Coding | 1373 | 1370 |
| SWE-bench Verified (bash only) | — | 61% |
| LMArena WebDev | — | 1297 |
| WeirdML | 35.2% | — |
| ALE-Bench | 325.9 | — |
Agentic & Tool Use Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 28.0 (#96), MiniMax-M2: 25.1 (#109)
| Benchmark | Gemini 2.5 Flash-Lite | MiniMax-M2 |
|---|---|---|
| Terminal-Bench | — | 30% |
| Berkeley Function Calling Leaderboard | 36.9% | — |
| Vending-Bench 2 | — | 160.6 |
Reasoning Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 22.2 (#205), MiniMax-M2: 19.4 (#258)
| Benchmark | Gemini 2.5 Flash-Lite | MiniMax-M2 |
|---|---|---|
| Kagi LLM Benchmark | 40.5% | 57.8% |
| LMArena Hard Prompts | 1377 | 1357 |
| NYT Connections (extended) | — | 14.8% |
| 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-M2: 37.3 (#160)
| Benchmark | Gemini 2.5 Flash-Lite | MiniMax-M2 |
|---|---|---|
| LMArena Math | 1373 | 1352 |
| Omni-MATH | 48% | — |
Knowledge MiniMax-M2 leads
Gemini 2.5 Flash-Lite: 32.5 (#210), MiniMax-M2: 37.0 (#163)
| Benchmark | Gemini 2.5 Flash-Lite | MiniMax-M2 |
|---|---|---|
| LMArena Expert | 1373 | 1337 |
| 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-M2: —
| Benchmark | Gemini 2.5 Flash-Lite | MiniMax-M2 |
|---|---|---|
| LMArena Vision | 1198 | — |
| VPCT | 30% | — |
Multilingual Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 49.3 (#134), MiniMax-M2: 45.3 (#171)
| Benchmark | Gemini 2.5 Flash-Lite | MiniMax-M2 |
|---|---|---|
| LMArena Non-English | 1369 | 1313 |
| LMArena Chinese | 1404 | 1366 |
| LMArena French | 1388 | 1335 |
| LMArena German | 1389 | 1355 |
| LMArena Russian | 1373 | 1331 |
| LMArena Spanish | 1396 | 1326 |
| LMArena Japanese | 1359 | — |
| LMArena Korean | 1360 | — |
Instruction Following Too close to call
Gemini 2.5 Flash-Lite: 70.0 (#168), MiniMax-M2: 70.2 (#166)
| Benchmark | Gemini 2.5 Flash-Lite | MiniMax-M2 |
|---|---|---|
| LMArena Instruction Following | 1367 | 1328 |
| IFEval | 81% | — |
Long Context MiniMax-M2 leads
Gemini 2.5 Flash-Lite: 33.3 (#262), MiniMax-M2: 40.5 (#153)
| Benchmark | Gemini 2.5 Flash-Lite | MiniMax-M2 |
|---|---|---|
| LMArena Longer Query | 1373 | 1331 |
| Fiction.LiveBench | 47.2% | — |
Writing & Preference Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 56.8 (#135), MiniMax-M2: 53.0 (#162)
| Benchmark | Gemini 2.5 Flash-Lite | MiniMax-M2 |
|---|---|---|
| LMArena Text | 1379 | 1340 |
| LMArena Creative Writing | 1367 | 1286 |
| LMArena Multi-Turn | 1366 | 1361 |
| WildBench | 81.8% | — |
Frequently asked questions
Is Gemini 2.5 Flash-Lite better than MiniMax-M2?
Gemini 2.5 Flash-Lite and MiniMax-M2 score almost the same on the Noometry Index (37.0 vs 37.4), so choose on price, context window or the category you care about most.
Which is cheaper, Gemini 2.5 Flash-Lite or MiniMax-M2?
Gemini 2.5 Flash-Lite is cheaper. It lists at $0.10 per million input tokens and $0.40 per million output tokens; MiniMax-M2 lists at $0.30 and $1.20.
Is Gemini 2.5 Flash-Lite or MiniMax-M2 better for coding?
They score almost the same on coding (38.5 vs 39.3); test both on your own repository before choosing.
Which has the bigger context window?
Gemini 2.5 Flash-Lite does, with 1.05M tokens against 205K.
How many benchmarks do Gemini 2.5 Flash-Lite and MiniMax-M2 share?
16 benchmarks have published results for both models. Gemini 2.5 Flash-Lite has 33 scored results on Noometry and MiniMax-M2 has 21.