Gemini 2.5 Flash vs MiniMax M2
MiniMax M2 leads Gemini 2.5 Flash on the Artificial Analysis Intelligence Index, 18.6 to 15.5, and MiniMax M2 costs 2.5x less per output token ($1.02 vs $2.50 per million). Updated October 22, 2026; 48 benchmarks have a result for both.
Gemini 2.5 Flash or MiniMax M2: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Pick Gemini 2.5 Flash for a lower cost per solved task ($0.466 against $0.702) and a larger context window (1.05M against 205K tokens).
- Shared results
- 48
- Gemini 2.5 Flash only
- 25
- MiniMax M2 only
- 2
- Like-for-like categories
- 8 of 9
Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.
Which one for your work
Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.
Coding
Vibe Coding Index, six public coding benchmarks
No call
Neither has a coding score yet.
One side not measured
Intelligence
AA Intelligence Index
MiniMax M2
MiniMax M2 leads, 18.6 against 15.5.
Same board, both measured
Web design
Design Arena: websites
MiniMax M2
MiniMax M2 leads, 1143 against 1074.
Same board, both measured
Long documents
Listed context window
Gemini 2.5 Flash
Gemini 2.5 Flash takes 1.05M tokens against 205K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
MiniMax M2
Gemini 2.5 Flash $0.0015, MiniMax M2 $0.0008 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
Gemini 2.5 Flash
Gemini 2.5 Flash $0.466, MiniMax M2 $0.702.
Published attempt cost and pass rate
At a glance
- Coding index
- Gemini 2.5 Flash not benchmarked, MiniMax M2 not benchmarked.
- Widest category
- Agentic work, 28.8 points apart on average over 2 shared benchmarks.
- Widest single gap
- τ²-Bench Telecom: Gemini 2.5 Flash 31.6% against MiniMax M2 86.8%, 55.3 points apart on a 0 to 100 scale.
- Output price
- Gemini 2.5 Flash $2.50 against MiniMax M2 $1.02 per million output tokens, 2.5x apart.
- Context window
- Gemini 2.5 Flash takes 1.05M tokens, MiniMax M2 205K.
Benchmark by benchmark
First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.
| Category | Gemini 2.5 Flash | Bars | MiniMax M2 | Ties |
|---|---|---|---|---|
| Coding | 2 | 4 | ||
| Intelligence | 0 | 1 | ||
| Agentic work | 1 | 1 | ||
| Reasoning | 4 | 2 | ||
| Math | 2 | 2 | ||
| Knowledge | 5 | 0 | ||
| Web design | 0 | 7 | ||
| General | 16 | 1 | ||
| All shared boards | 30 | 18 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index24
| Benchmark | Gemini 2.5 Flash | MiniMax M2 | Leader |
|---|---|---|---|
| SWE-bench Verified | 28.7% | 61.0% | MiniMax M2 |
| LMArena WebDev | Not measured | 1297 | Only MiniMax M2 measured |
| LiveCodeBench (Artificial Analysis run) | 69.5% | 82.6% | MiniMax M2 |
| Terminal-Bench Hard (Artificial Analysis run) | 13.6% | 25.8% | MiniMax M2 |
| Terminal-Bench | 17.1% | 30.0% | MiniMax M2 |
| LMArena Text: coding | 1423 | 1371 | Gemini 2.5 Flash |
| LMArena Text: software and IT | 1425 | 1373 | Gemini 2.5 Flash |
| LMArena WebDev: HTML | Not measured | 1306 | Only MiniMax M2 measured |
| Neither model has a result on the other 31 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Gemini 2.5 Flash | MiniMax M2 | Leader |
|---|---|---|---|
| AA Intelligence Index | 15.5 | 18.6 | MiniMax M2 |
| Epoch Capabilities Index | 142.9 | Not measured | Only Gemini 2.5 Flash measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index11
| Benchmark | Gemini 2.5 Flash | MiniMax M2 | Leader |
|---|---|---|---|
| τ²-Bench Telecom | 31.6% | 86.8% | MiniMax M2 |
| BALROG | 33.5% | Not measured | Only Gemini 2.5 Flash measured |
| Vending-Bench 2 | $549 | $161 | Gemini 2.5 Flash |
| Berkeley Function Calling Leaderboard (BFCL) | 56.2% | Not measured | Only Gemini 2.5 Flash measured |
| BrowseComp-Plus | 39.9% | Not measured | Only Gemini 2.5 Flash measured |
| Neither model has a result on the other 36 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index42
| Benchmark | Gemini 2.5 Flash | MiniMax M2 | Leader |
|---|---|---|---|
| GPQA Diamond (Artificial Analysis run) | 79.0% | 77.7% | Gemini 2.5 Flash |
| Humanity's Last Exam (Artificial Analysis run) | 12.1% | 13.7% | MiniMax M2 |
| ARC-AGI | 33.3% | Not measured | Only Gemini 2.5 Flash measured |
| ARC-AGI-2 | 2.5% | Not measured | Only Gemini 2.5 Flash measured |
| SimpleBench | 41.2% | Not measured | Only Gemini 2.5 Flash measured |
| LMArena Text: hard prompts | 1422 | 1357 | Gemini 2.5 Flash |
| LMArena Text: expert | 1426 | 1338 | Gemini 2.5 Flash |
| LMArena Text: hard prompts in English | 1420 | 1376 | Gemini 2.5 Flash |
| LMArena Vision: diagrams | 1245 | Not measured | Only Gemini 2.5 Flash measured |
| LMArena Vision: homework | 1244 | Not measured | Only Gemini 2.5 Flash measured |
| Kagi LLM Benchmark | 56.8% | 57.8% | MiniMax M2 |
| Neither model has a result on the other 11 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index22
| Benchmark | Gemini 2.5 Flash | MiniMax M2 | Leader |
|---|---|---|---|
| AA Math Index | 73.3 | 78.3 | MiniMax M2 |
| AIME 2025 (Artificial Analysis run) | 73.3% | 78.3% | MiniMax M2 |
| LMArena Text: math | 1411 | 1351 | Gemini 2.5 Flash |
| LMArena Text: mathematical work | 1422 | 1368 | Gemini 2.5 Flash |
| Neither model has a result on the other 9 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index50
| Benchmark | Gemini 2.5 Flash | MiniMax M2 | Leader |
|---|---|---|---|
| MedCode (Vals AI) | 40.4% | Not measured | Only Gemini 2.5 Flash measured |
| MMLU Pro (Artificial Analysis run) | 83.2% | 82.0% | Gemini 2.5 Flash |
| LMArena Text: science | 1433 | 1348 | Gemini 2.5 Flash |
| LMArena Text: medicine and healthcare | 1428 | 1367 | Gemini 2.5 Flash |
| LMArena Text: legal and government | 1430 | 1349 | Gemini 2.5 Flash |
| LMArena Text: business and finance | 1404 | 1336 | Gemini 2.5 Flash |
| FACTS Benchmark Suite | 47.2% | Not measured | Only Gemini 2.5 Flash measured |
| Neither model has a result on the other 11 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index07
| Benchmark | Gemini 2.5 Flash | MiniMax M2 | Leader |
|---|---|---|---|
| Design Arena: websites | 1074 | 1143 | MiniMax M2 |
| Design Arena: UI components | 1002 | 1137 | MiniMax M2 |
| Design Arena: game dev | 1004 | 1118 | MiniMax M2 |
| Design Arena: data viz | 1060 | 1140 | MiniMax M2 |
| Design Arena: 3D | 1020 | 1098 | MiniMax M2 |
| Design Arena: all code categories | 1059 | 1135 | MiniMax M2 |
| Design Arena: SVG | 1020 | 1100 | MiniMax M2 |
| Neither model has a result on the other 2 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index161
| Benchmark | Gemini 2.5 Flash | MiniMax M2 | Leader |
|---|---|---|---|
| SAGE (Vals AI) | 44.8% | Not measured | Only Gemini 2.5 Flash measured |
| MedScribe (Vals AI) | 83.0% | Not measured | Only Gemini 2.5 Flash measured |
| IFBench | 50.3% | 72.3% | MiniMax M2 |
| Long context reasoning (AA-LCR) | 65.3% | 64.3% | Gemini 2.5 Flash |
| DTBench | 76.5% | Not measured | Only Gemini 2.5 Flash measured |
| LMCA | 27.5% | Not measured | Only Gemini 2.5 Flash measured |
| LMArena Text | 1417 | 1340 | Gemini 2.5 Flash |
| LMArena Text: instruction following | 1405 | 1329 | Gemini 2.5 Flash |
| LMArena Text: creative writing | 1400 | 1286 | Gemini 2.5 Flash |
| LMArena Vision | 1235 | Not measured | Only Gemini 2.5 Flash measured |
| LMArena Text: English | 1418 | 1364 | Gemini 2.5 Flash |
| LMArena Text: non-English | 1409 | 1313 | Gemini 2.5 Flash |
| LMArena Text: Chinese | 1449 | 1366 | Gemini 2.5 Flash |
| LMArena Text: German | 1417 | 1357 | Gemini 2.5 Flash |
| LMArena Text: Japanese | 1396 | Not measured | Only Gemini 2.5 Flash measured |
| LMArena Text: Korean | 1385 | Not measured | Only Gemini 2.5 Flash measured |
| LMArena Text: French | 1432 | 1336 | Gemini 2.5 Flash |
| LMArena Text: Spanish | 1422 | 1326 | Gemini 2.5 Flash |
| LMArena Text: Russian | 1415 | 1330 | Gemini 2.5 Flash |
| LMArena Text: Polish | 1413 | 1312 | Gemini 2.5 Flash |
| LMArena Text: multi-turn | 1408 | 1361 | Gemini 2.5 Flash |
| LMArena Text: longer queries | 1419 | 1331 | Gemini 2.5 Flash |
| LMArena Text: writing and language | 1405 | 1295 | Gemini 2.5 Flash |
| LMArena Text: entertainment and media | 1393 | 1298 | Gemini 2.5 Flash |
| LMArena Vision: English | 1239 | Not measured | Only Gemini 2.5 Flash measured |
| LMArena Vision: Chinese | 1284 | Not measured | Only Gemini 2.5 Flash measured |
| LMArena Vision: reading text | 1237 | Not measured | Only Gemini 2.5 Flash measured |
| LMArena Vision: humor | 1225 | Not measured | Only Gemini 2.5 Flash measured |
| LMArena Vision: captioning | 1277 | Not measured | Only Gemini 2.5 Flash measured |
| LMArena Vision: recognizing things | 1252 | Not measured | Only Gemini 2.5 Flash measured |
| LMArena Vision: creative writing | 1241 | Not measured | Only Gemini 2.5 Flash measured |
| Neither model has a result on the other 15 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Gemini 2.5 Flash | MiniMax M2 | Leader |
|---|---|---|---|
| Neither model has a result on 5 boards here | |||
What each workload costs
Three fixed token mixes at each model's listed price, so per-token rates become a bill.
Chat turn
1K input + 500 output tokens
MiniMax M2 costs less
Repository review
50K input + 3K output tokens
MiniMax M2 costs less
Agent loop
200K input + 10K output tokens
MiniMax M2 costs less
Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.
Specification differences
The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.
| Specification | Google Gemini 2.5 Flash | MiniMax M2 |
|---|---|---|
| Maker | MiniMax | |
| Weights | No public weights listed | Open weights |
| Released | June 17, 2025 | October 23, 2025 |
| Context window | 1.05M | 205K |
| Input $/Mtok | $0.30 | $0.255 |
| Output $/Mtok | $2.50 | $1.02 |
| Coding index | Not benchmarked | Not benchmarked |
| Independent measurements behind it | 0 | 1 |
| Cost per solved task | $0.466 | $0.702 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Gemini 2.5 Flash better than MiniMax M2 for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Gemini 2.5 Flash for a lower cost per solved task ($0.466 against $0.702) and a larger context window (1.05M against 205K tokens).
Which is cheaper, Gemini 2.5 Flash or MiniMax M2?
Gemini 2.5 Flash costs $0.30 per million input tokens and $2.50 per million output tokens; MiniMax M2 costs $0.255 and $1.02. Per solved SWE-bench Verified task, Gemini 2.5 Flash costs $0.466 and MiniMax M2 $0.702.
Which has the bigger context window, Gemini 2.5 Flash or MiniMax M2?
Gemini 2.5 Flash, with 1.05M tokens against 205K.
How many benchmarks is the Gemini 2.5 Flash vs MiniMax M2 comparison based on?
48 benchmarks have a result for both models as of October 22, 2026. Gemini 2.5 Flash's coding index rests on 0 independent benchmarks and MiniMax M2's on 1. Where only one model has a result, the page says so instead of naming a winner.