Gemini 2.5 Pro vs MiniMax M2
MiniMax M2 leads Gemini 2.5 Pro on the Artificial Analysis Intelligence Index, 18.6 to 16.1, and MiniMax M2 costs 9.8x less per output token ($1.02 vs $10.00 per million). Updated October 22, 2026; 49 benchmarks have a result for both.
Gemini 2.5 Pro or MiniMax M2: which to pick
Only Gemini 2.5 Pro has a coding score, 19.1 on the Vibe Coding Index; MiniMax M2 has none, so the two cannot be ranked on coding.
Pick MiniMax M2 for output tokens 9.8x cheaper ($1.02 vs $10.00 per million) and work measured by SWE-bench Verified or LMArena WebDev, where it leads.
- Shared results
- 49
- Gemini 2.5 Pro only
- 41
- MiniMax M2 only
- 1
- 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
Only Gemini 2.5 Pro has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
MiniMax M2
MiniMax M2 leads, 18.6 against 16.1.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Gemini 2.5 Pro has a AA Agentic Index result, 1.6.
Directional only
Web design
Design Arena: websites
Gemini 2.5 Pro
Gemini 2.5 Pro leads, 1167 against 1143.
Same board, both measured
Long documents
Listed context window
Gemini 2.5 Pro
Gemini 2.5 Pro takes 1.05M tokens against 205K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
MiniMax M2
Gemini 2.5 Pro $0.0063, MiniMax M2 $0.0008 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
Gemini 2.5 Pro
Gemini 2.5 Pro $0.64, MiniMax M2 $0.702.
Published attempt cost and pass rate
At a glance
- Coding index
- Gemini 2.5 Pro 19.1 from 3 benchmarks, MiniMax M2 not benchmarked.
- Widest category
- General, 21.2 points apart on average over 17 shared benchmarks.
- Widest single gap
- τ²-Bench Telecom: Gemini 2.5 Pro 54.1% against MiniMax M2 86.8%, 32.7 points apart on a 0 to 100 scale.
- Output price
- Gemini 2.5 Pro $10.00 against MiniMax M2 $1.02 per million output tokens, 9.8x apart.
- Context window
- Gemini 2.5 Pro 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 Pro | Bars | MiniMax M2 | Ties |
|---|---|---|---|---|
| Coding | 4 | 4 | ||
| Intelligence | 0 | 1 | ||
| Agentic work | 1 | 1 | ||
| Reasoning | 6 | 0 | ||
| Math | 4 | 0 | ||
| Knowledge | 5 | 0 | ||
| Web design | 3 | 2 | 1 tie | |
| General | 16 | 1 | ||
| All shared boards | 39 | 9 | 1 tie |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index44
| Benchmark | Gemini 2.5 Pro | MiniMax M2 | Leader |
|---|---|---|---|
| SWE-bench Verified | 53.6% | 61.0% | MiniMax M2 |
| LMArena WebDev | 1226 | 1297 | MiniMax M2 |
| AA Coding Index | 33.3 | Not measured | Only Gemini 2.5 Pro measured |
| SWE-bench Verified (Vals AI) | 54.4% | Not measured | Only Gemini 2.5 Pro measured |
| Vibe Code Bench (Vals AI) | 0.4% | Not measured | Only Gemini 2.5 Pro measured |
| LiveCodeBench (Artificial Analysis run) | 80.1% | 82.6% | MiniMax M2 |
| SciCode | 46.3% | Not measured | Only Gemini 2.5 Pro measured |
| Terminal-Bench Hard (Artificial Analysis run) | 26.5% | 25.8% | Gemini 2.5 Pro |
| Terminal-Bench | 32.6% | 30.0% | Gemini 2.5 Pro |
| GSO-Bench | 3.9% | Not measured | Only Gemini 2.5 Pro measured |
| WeirdML | 54.0% | Not measured | Only Gemini 2.5 Pro measured |
| LMArena Text: coding | 1452 | 1371 | Gemini 2.5 Pro |
| LMArena Text: software and IT | 1459 | 1373 | Gemini 2.5 Pro |
| LMArena WebDev: HTML | 1235 | 1306 | MiniMax M2 |
| LMArena WebDev: from an image | 1285 | Not measured | Only Gemini 2.5 Pro measured |
| Neither model has a result on the other 24 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Gemini 2.5 Pro | MiniMax M2 | Leader |
|---|---|---|---|
| AA Intelligence Index | 16.1 | 18.6 | MiniMax M2 |
| Epoch Capabilities Index | 145.1 | Not measured | Only Gemini 2.5 Pro measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index11
| Benchmark | Gemini 2.5 Pro | MiniMax M2 | Leader |
|---|---|---|---|
| AA Agentic Index | 1.6 | Not measured | Only Gemini 2.5 Pro measured |
| τ²-Bench Telecom | 54.1% | 86.8% | MiniMax M2 |
| GDPval | 23.3% | Not measured | Only Gemini 2.5 Pro measured |
| DeepResearch Bench | 41.5% | Not measured | Only Gemini 2.5 Pro measured |
| Vending-Bench 2 | $574 | $161 | Gemini 2.5 Pro |
| BrowseComp-Plus | 29.5% | Not measured | Only Gemini 2.5 Pro measured |
| Neither model has a result on the other 35 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index60
| Benchmark | Gemini 2.5 Pro | MiniMax M2 | Leader |
|---|---|---|---|
| GPQA Diamond (Artificial Analysis run) | 84.4% | 77.7% | Gemini 2.5 Pro |
| Humanity's Last Exam (Artificial Analysis run) | 22.5% | 13.7% | Gemini 2.5 Pro |
| GPQA Diamond (Epoch AI run) | 85.3% | Not measured | Only Gemini 2.5 Pro measured |
| ARC-AGI | 41.0% | Not measured | Only Gemini 2.5 Pro measured |
| ARC-AGI-2 | 4.9% | Not measured | Only Gemini 2.5 Pro measured |
| LMArena Text: hard prompts | 1455 | 1357 | Gemini 2.5 Pro |
| LMArena Text: expert | 1452 | 1338 | Gemini 2.5 Pro |
| LMArena Text: hard prompts in English | 1453 | 1376 | Gemini 2.5 Pro |
| LMArena Vision: diagrams | 1274 | Not measured | Only Gemini 2.5 Pro measured |
| LMArena Vision: homework | 1281 | Not measured | Only Gemini 2.5 Pro measured |
| Kagi LLM Benchmark | 70.3% | 57.8% | Gemini 2.5 Pro |
| Neither model has a result on the other 11 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | Gemini 2.5 Pro | MiniMax M2 | Leader |
|---|---|---|---|
| AA Math Index | 87.7 | 78.3 | Gemini 2.5 Pro |
| AIME 2025 (Artificial Analysis run) | 87.7% | 78.3% | Gemini 2.5 Pro |
| OTIS Mock AIME | 84.7% | Not measured | Only Gemini 2.5 Pro measured |
| FrontierMath, tiers 1 to 3 | 24.6% | Not measured | Only Gemini 2.5 Pro measured |
| FrontierMath, tier 4 | 0.0% | Not measured | Only Gemini 2.5 Pro measured |
| LMArena Text: math | 1450 | 1351 | Gemini 2.5 Pro |
| LMArena Text: mathematical work | 1454 | 1368 | Gemini 2.5 Pro |
| Neither model has a result on the other 6 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index50
| Benchmark | Gemini 2.5 Pro | MiniMax M2 | Leader |
|---|---|---|---|
| CaseLaw (Vals AI) | 63.9% | Not measured | Only Gemini 2.5 Pro measured |
| CorpFin (Vals AI) | 60.8% | Not measured | Only Gemini 2.5 Pro measured |
| MortgageTax (Vals AI) | 68.9% | Not measured | Only Gemini 2.5 Pro measured |
| MedCode (Vals AI) | 50.6% | Not measured | Only Gemini 2.5 Pro measured |
| MMLU Pro (Artificial Analysis run) | 86.2% | 82.0% | Gemini 2.5 Pro |
| LMArena Text: science | 1480 | 1348 | Gemini 2.5 Pro |
| LMArena Text: medicine and healthcare | 1476 | 1367 | Gemini 2.5 Pro |
| LMArena Text: legal and government | 1480 | 1349 | Gemini 2.5 Pro |
| LMArena Text: business and finance | 1439 | 1336 | Gemini 2.5 Pro |
| FACTS Benchmark Suite | 61.5% | Not measured | Only Gemini 2.5 Pro measured |
| Neither model has a result on the other 8 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index32
| Benchmark | Gemini 2.5 Pro | MiniMax M2 | Leader |
|---|---|---|---|
| Design Arena: websites | 1167 | 1143 | Gemini 2.5 Pro |
| Design Arena: UI components | 1137 | 1137 | Tie |
| Design Arena: game dev | 1111 | 1118 | MiniMax M2 |
| Design Arena: data viz | 1222 | 1140 | Gemini 2.5 Pro |
| Design Arena: 3D | 1080 | 1098 | MiniMax M2 |
| Design Arena: all code categories | 1152 | 1135 | Gemini 2.5 Pro |
| Design Arena: SVG | Not measured | 1100 | Only MiniMax M2 measured |
| 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 Pro | MiniMax M2 | Leader |
|---|---|---|---|
| SAGE (Vals AI) | 41.9% | Not measured | Only Gemini 2.5 Pro measured |
| MedScribe (Vals AI) | 73.5% | Not measured | Only Gemini 2.5 Pro measured |
| IFBench | 48.7% | 72.3% | MiniMax M2 |
| Long context reasoning (AA-LCR) | 69.0% | 64.3% | Gemini 2.5 Pro |
| DTBench | 82.4% | Not measured | Only Gemini 2.5 Pro measured |
| LMCA | 34.8% | Not measured | Only Gemini 2.5 Pro measured |
| Creative writing (Lech Mazur) | 83.8% | Not measured | Only Gemini 2.5 Pro measured |
| LMArena Text | 1458 | 1340 | Gemini 2.5 Pro |
| LMArena Text: instruction following | 1437 | 1329 | Gemini 2.5 Pro |
| LMArena Text: creative writing | 1454 | 1286 | Gemini 2.5 Pro |
| LMArena Vision | 1263 | Not measured | Only Gemini 2.5 Pro measured |
| LMArena Text: English | 1458 | 1364 | Gemini 2.5 Pro |
| LMArena Text: non-English | 1452 | 1313 | Gemini 2.5 Pro |
| LMArena Text: Chinese | 1507 | 1366 | Gemini 2.5 Pro |
| LMArena Text: German | 1487 | 1357 | Gemini 2.5 Pro |
| LMArena Text: Japanese | 1461 | Not measured | Only Gemini 2.5 Pro measured |
| LMArena Text: Korean | 1434 | Not measured | Only Gemini 2.5 Pro measured |
| LMArena Text: French | 1473 | 1336 | Gemini 2.5 Pro |
| LMArena Text: Spanish | 1474 | 1326 | Gemini 2.5 Pro |
| LMArena Text: Russian | 1461 | 1330 | Gemini 2.5 Pro |
| LMArena Text: Polish | 1479 | 1312 | Gemini 2.5 Pro |
| LMArena Text: multi-turn | 1453 | 1361 | Gemini 2.5 Pro |
| LMArena Text: longer queries | 1449 | 1331 | Gemini 2.5 Pro |
| LMArena Text: writing and language | 1454 | 1295 | Gemini 2.5 Pro |
| LMArena Text: entertainment and media | 1441 | 1298 | Gemini 2.5 Pro |
| LMArena Vision: English | 1261 | Not measured | Only Gemini 2.5 Pro measured |
| LMArena Vision: Chinese | 1300 | Not measured | Only Gemini 2.5 Pro measured |
| LMArena Vision: reading text | 1270 | Not measured | Only Gemini 2.5 Pro measured |
| LMArena Vision: humor | 1262 | Not measured | Only Gemini 2.5 Pro measured |
| LMArena Vision: captioning | 1304 | Not measured | Only Gemini 2.5 Pro measured |
| LMArena Vision: recognizing things | 1283 | Not measured | Only Gemini 2.5 Pro measured |
| LMArena Vision: creative writing | 1265 | Not measured | Only Gemini 2.5 Pro measured |
| LMArena Document | 1421 | Not measured | Only Gemini 2.5 Pro measured |
| Neither model has a result on the other 13 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Gemini 2.5 Pro | 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 Pro | 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 | $1.25 | $0.255 |
| Output $/Mtok | $10.00 | $1.02 |
| Coding index | 19.1 | Not benchmarked |
| Independent measurements behind it | 3 | 1 |
| Cost per solved task | $0.64 | $0.702 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Gemini 2.5 Pro better than MiniMax M2 for coding?
Only Gemini 2.5 Pro has a coding score, 19.1 on the Vibe Coding Index; MiniMax M2 has none, so the two cannot be ranked on coding. Pick MiniMax M2 for output tokens 9.8x cheaper ($1.02 vs $10.00 per million) and work measured by SWE-bench Verified or LMArena WebDev, where it leads.
Which is cheaper, Gemini 2.5 Pro or MiniMax M2?
Gemini 2.5 Pro costs $1.25 per million input tokens and $10.00 per million output tokens; MiniMax M2 costs $0.255 and $1.02. Per solved SWE-bench Verified task, Gemini 2.5 Pro costs $0.64 and MiniMax M2 $0.702.
Which has the bigger context window, Gemini 2.5 Pro or MiniMax M2?
Gemini 2.5 Pro, with 1.05M tokens against 205K.
How many benchmarks is the Gemini 2.5 Pro vs MiniMax M2 comparison based on?
49 benchmarks have a result for both models as of October 22, 2026. Gemini 2.5 Pro's coding index rests on 3 independent benchmarks and MiniMax M2's on 1. Where only one model has a result, the page says so instead of naming a winner.