GPT-4.1 Mini vs MiMo-V2.5
MiMo-V2.5 leads GPT-4.1 Mini on the Artificial Analysis Intelligence Index, 21.8 to 10.2, and MiMo-V2.5 costs 4.8x less per output token ($0.336 vs $1.60 per million). Updated October 22, 2026; 59 benchmarks have a result for both.
GPT-4.1 Mini or MiMo-V2.5: which to pick
Only MiMo-V2.5 has a coding score, 50.0 on the Vibe Coding Index; GPT-4.1 Mini has none, so the two cannot be ranked on coding.
Pick GPT-4.1 Mini for work measured by TaxEval (Vals AI) or MortgageTax (Vals AI), where it leads.
- Shared results
- 59
- GPT-4.1 Mini only
- 27
- MiMo-V2.5 only
- 21
- 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 MiMo-V2.5 has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
MiMo-V2.5
MiMo-V2.5 leads, 21.8 against 10.2.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only MiMo-V2.5 has a AA Agentic Index result, 15.8.
Directional only
Reasoning
GPQA Diamond
MiMo-V2.5
MiMo-V2.5 leads, 81.6% against 67.9%.
Same board, both measured
Math
AIME
No call
Only GPT-4.1 Mini has a AIME result, 49.4%.
Directional only
Knowledge
MMLU Pro
MiMo-V2.5
MiMo-V2.5 leads, 82.9% against 77.2%.
Same board, both measured
Web design
Design Arena: websites
MiMo-V2.5
MiMo-V2.5 leads, 1265 against 997.
Same board, both measured
Long documents
Listed context window
MiMo-V2.5
MiMo-V2.5 takes 1.05M tokens against 1.05M.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
MiMo-V2.5
GPT-4.1 Mini $0.0012, MiMo-V2.5 $0.0003 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
MiMo-V2.5
GPT-4.1 Mini $1.818, MiMo-V2.5 $0.01.
Published attempt cost and pass rate
At a glance
- Coding index
- GPT-4.1 Mini not benchmarked, MiMo-V2.5 50.0 from 3 benchmarks.
- Widest category
- Agentic work, 37.7 points apart on average over 1 shared benchmark.
- Widest single gap
- Design Arena: 3D: GPT-4.1 Mini 836 against MiMo-V2.5 1215, 47.4 points apart on a 0 to 100 scale.
- Output price
- GPT-4.1 Mini $1.60 against MiMo-V2.5 $0.336 per million output tokens, 4.8x apart.
- Context window
- GPT-4.1 Mini takes 1.05M tokens, MiMo-V2.5 1.05M.
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 | GPT-4.1 Mini | Bars | MiMo-V2.5 | Ties |
|---|---|---|---|---|
| Coding | 0 | 5 | ||
| Intelligence | 0 | 1 | ||
| Agentic work | 0 | 1 | ||
| Reasoning | 0 | 9 | ||
| Math | 0 | 2 | ||
| Knowledge | 2 | 7 | ||
| Web design | 0 | 6 | ||
| General | 0 | 26 | ||
| All shared boards | 2 | 57 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index05
| Benchmark | GPT-4.1 Mini | MiMo-V2.5 | Leader |
|---|---|---|---|
| Aider polyglot | 32.4% | Not measured | Only GPT-4.1 Mini measured |
| SWE-bench Verified | 23.9% | Not measured | Only GPT-4.1 Mini measured |
| LMArena WebDev | Not measured | 1438 | Only MiMo-V2.5 measured |
| AA Coding Index | 20.2 | 56.8 | MiMo-V2.5 |
| LiveCodeBench (Vals AI) | 58.2% | 81.5% | MiMo-V2.5 |
| SWE-bench Verified (Vals AI) | Not measured | 71.0% | Only MiMo-V2.5 measured |
| Vibe Code Bench (Vals AI) | Not measured | 42.2% | Only MiMo-V2.5 measured |
| Code migration (Vals AI) | Not measured | 14.2% | Only MiMo-V2.5 measured |
| Terminal-Bench 2.1 (Vals AI) | Not measured | 60.7% | Only MiMo-V2.5 measured |
| LiveCodeBench (Artificial Analysis run) | 48.3% | Not measured | Only GPT-4.1 Mini measured |
| SciCode | Not measured | 43.9% | Only MiMo-V2.5 measured |
| Terminal-Bench Hard (Artificial Analysis run) | 7.6% | 41.7% | MiMo-V2.5 |
| WeirdML | 37.6% | Not measured | Only GPT-4.1 Mini measured |
| ALE-Bench | Not measured | 514.0 | Only MiMo-V2.5 measured |
| LMArena Text: coding | 1367 | 1469 | MiMo-V2.5 |
| LMArena Text: software and IT | 1360 | 1463 | MiMo-V2.5 |
| LMArena WebDev: React | Not measured | 1425 | Only MiMo-V2.5 measured |
| LMArena WebDev: HTML | Not measured | 1429 | Only MiMo-V2.5 measured |
| Neither model has a result on the other 21 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | GPT-4.1 Mini | MiMo-V2.5 | Leader |
|---|---|---|---|
| AA Intelligence Index | 10.2 | 21.8 | MiMo-V2.5 |
| Epoch Capabilities Index | 134.9 | Not measured | Only GPT-4.1 Mini measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | GPT-4.1 Mini | MiMo-V2.5 | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 15.8 | Only MiMo-V2.5 measured |
| Finance Agent (Vals AI) | Not measured | 36.7% | Only MiMo-V2.5 measured |
| Tax Agent Bench (Vals AI) | Not measured | 7.8% | Only MiMo-V2.5 measured |
| Legal Research Bench (Vals AI) | Not measured | 9.1% | Only MiMo-V2.5 measured |
| Excel Modeling Benchmark (Vals AI) | Not measured | 55.1% | Only MiMo-V2.5 measured |
| τ²-Bench Telecom | 52.9% | 90.6% | MiMo-V2.5 |
| Berkeley Function Calling Leaderboard (BFCL) | 50.4% | Not measured | Only GPT-4.1 Mini measured |
| Neither model has a result on the other 34 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index09
| Benchmark | GPT-4.1 Mini | MiMo-V2.5 | Leader |
|---|---|---|---|
| GPQA Diamond | 67.9% | 81.6% | MiMo-V2.5 |
| MMMU Pro (Vals AI) | 70.5% | 80.0% | MiMo-V2.5 |
| GPQA Diamond (Artificial Analysis run) | 66.4% | 84.9% | MiMo-V2.5 |
| Humanity's Last Exam (Artificial Analysis run) | 5.0% | 27.2% | MiMo-V2.5 |
| GPQA Diamond (Epoch AI run) | 65.8% | Not measured | Only GPT-4.1 Mini measured |
| ARC-AGI | 3.5% | Not measured | Only GPT-4.1 Mini measured |
| ARC-AGI-2 | 0.0% | Not measured | Only GPT-4.1 Mini measured |
| Chess puzzles | 1.0% | Not measured | Only GPT-4.1 Mini measured |
| Mystery game puzzles | 7.0% | Not measured | Only GPT-4.1 Mini measured |
| LMArena Text: hard prompts | 1349 | 1450 | MiMo-V2.5 |
| LMArena Text: expert | 1338 | 1459 | MiMo-V2.5 |
| LMArena Text: hard prompts in English | 1362 | 1461 | MiMo-V2.5 |
| LMArena Vision: diagrams | 1182 | 1269 | MiMo-V2.5 |
| LMArena Vision: homework | 1214 | 1262 | MiMo-V2.5 |
| Kagi LLM Benchmark | 48.6% | Not measured | Only GPT-4.1 Mini measured |
| Neither model has a result on the other 7 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | GPT-4.1 Mini | MiMo-V2.5 | Leader |
|---|---|---|---|
| AIME | 49.4% | Not measured | Only GPT-4.1 Mini measured |
| MATH 500 (Vals AI) | 88.0% | Not measured | Only GPT-4.1 Mini measured |
| MGSM (Vals AI) | 87.8% | Not measured | Only GPT-4.1 Mini measured |
| AA Math Index | 46.3 | Not measured | Only GPT-4.1 Mini measured |
| AIME 2025 (Artificial Analysis run) | 46.3% | Not measured | Only GPT-4.1 Mini measured |
| OTIS Mock AIME | 44.7% | Not measured | Only GPT-4.1 Mini measured |
| FrontierMath, tiers 1 to 3 | 6.7% | Not measured | Only GPT-4.1 Mini measured |
| ProofBench | Not measured | 16.0% | Only MiMo-V2.5 measured |
| MATH level 5 | 87.3% | Not measured | Only GPT-4.1 Mini measured |
| LMArena Text: math | 1343 | 1436 | MiMo-V2.5 |
| LMArena Text: mathematical work | 1347 | 1451 | MiMo-V2.5 |
| Neither model has a result on the other 2 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index27
| Benchmark | GPT-4.1 Mini | MiMo-V2.5 | Leader |
|---|---|---|---|
| MMLU Pro | 77.2% | 82.9% | MiMo-V2.5 |
| LegalBench (Vals AI) | 78.0% | 78.9% | MiMo-V2.5 |
| CorpFin (Vals AI) | 57.9% | 59.9% | MiMo-V2.5 |
| TaxEval (Vals AI) | 71.9% | 71.8% | GPT-4.1 Mini |
| MortgageTax (Vals AI) | 65.5% | 59.3% | GPT-4.1 Mini |
| MedQA (Vals AI) | 84.6% | Not measured | Only GPT-4.1 Mini measured |
| MedCode (Vals AI) | Not measured | 31.9% | Only MiMo-V2.5 measured |
| MMLU Pro (Artificial Analysis run) | 78.1% | Not measured | Only GPT-4.1 Mini measured |
| SimpleQA Verified | 12.7% | Not measured | Only GPT-4.1 Mini measured |
| LMArena Text: science | 1328 | 1440 | MiMo-V2.5 |
| LMArena Text: medicine and healthcare | 1324 | 1432 | MiMo-V2.5 |
| LMArena Text: legal and government | 1343 | 1425 | MiMo-V2.5 |
| LMArena Text: business and finance | 1322 | 1432 | MiMo-V2.5 |
| Neither model has a result on the other 5 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index06
| Benchmark | GPT-4.1 Mini | MiMo-V2.5 | Leader |
|---|---|---|---|
| Design Arena: websites | 997 | 1265 | MiMo-V2.5 |
| Design Arena: UI components | 958 | 1255 | MiMo-V2.5 |
| Design Arena: game dev | 1070 | 1249 | MiMo-V2.5 |
| Design Arena: data viz | 1034 | 1250 | MiMo-V2.5 |
| Design Arena: 3D | 836 | 1215 | MiMo-V2.5 |
| Design Arena: all code categories | 993 | 1260 | MiMo-V2.5 |
| Design Arena: SVG | Not measured | 1179 | Only MiMo-V2.5 measured |
| Design Arena: ASCII art | Not measured | 1140 | Only MiMo-V2.5 measured |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index026
| Benchmark | GPT-4.1 Mini | MiMo-V2.5 | Leader |
|---|---|---|---|
| SAGE (Vals AI) | Not measured | 43.3% | Only MiMo-V2.5 measured |
| MedScribe (Vals AI) | Not measured | 72.2% | Only MiMo-V2.5 measured |
| Vals Multimodal Index | Not measured | 52.8% | Only MiMo-V2.5 measured |
| IFBench | 38.3% | 67.1% | MiMo-V2.5 |
| Long context reasoning (AA-LCR) | 44.0% | 73.0% | MiMo-V2.5 |
| DTBench | 68.8% | Not measured | Only GPT-4.1 Mini measured |
| LMCA | 21.1% | Not measured | Only GPT-4.1 Mini measured |
| Fiction.LiveBench | 44.4% | Not measured | Only GPT-4.1 Mini measured |
| LMArena Text | 1341 | 1428 | MiMo-V2.5 |
| LMArena Text: instruction following | 1333 | 1435 | MiMo-V2.5 |
| LMArena Text: creative writing | 1299 | 1393 | MiMo-V2.5 |
| LMArena Vision | 1181 | 1247 | MiMo-V2.5 |
| LMArena Text: English | 1356 | 1447 | MiMo-V2.5 |
| LMArena Text: non-English | 1318 | 1405 | MiMo-V2.5 |
| LMArena Text: Chinese | 1329 | 1469 | MiMo-V2.5 |
| LMArena Text: German | 1350 | 1421 | MiMo-V2.5 |
| LMArena Text: Japanese | 1290 | 1306 | MiMo-V2.5 |
| LMArena Text: Korean | 1298 | 1361 | MiMo-V2.5 |
| LMArena Text: French | 1358 | 1448 | MiMo-V2.5 |
| LMArena Text: Spanish | 1319 | 1414 | MiMo-V2.5 |
| LMArena Text: Russian | 1324 | 1396 | MiMo-V2.5 |
| LMArena Text: Polish | 1326 | 1413 | MiMo-V2.5 |
| LMArena Text: multi-turn | 1354 | 1445 | MiMo-V2.5 |
| LMArena Text: longer queries | 1344 | 1445 | MiMo-V2.5 |
| LMArena Text: writing and language | 1319 | 1409 | MiMo-V2.5 |
| LMArena Text: entertainment and media | 1300 | 1399 | MiMo-V2.5 |
| LMArena Vision: English | 1191 | 1259 | MiMo-V2.5 |
| LMArena Vision: Chinese | 1186 | 1326 | MiMo-V2.5 |
| LMArena Vision: reading text | 1188 | 1256 | MiMo-V2.5 |
| LMArena Vision: humor | 1182 | 1226 | MiMo-V2.5 |
| LMArena Vision: captioning | 1174 | Not measured | Only GPT-4.1 Mini measured |
| LMArena Vision: recognizing things | 1187 | 1189 | MiMo-V2.5 |
| LMArena Vision: creative writing | 1182 | 1230 | MiMo-V2.5 |
| 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 | GPT-4.1 Mini | MiMo-V2.5 | 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
MiMo-V2.5 costs less
Repository review
50K input + 3K output tokens
MiMo-V2.5 costs less
Agent loop
200K input + 10K output tokens
MiMo-V2.5 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 | OpenAI GPT-4.1 Mini | Xiaomi MiMo-V2.5 |
|---|---|---|
| Maker | OpenAI | Xiaomi |
| Weights | No public weights listed | Open weights |
| Released | April 14, 2025 | April 22, 2026 |
| Context window | 1.05M | 1.05M |
| Input $/Mtok | $0.40 | $0.168 |
| Output $/Mtok | $1.60 | $0.336 |
| Coding index | Not benchmarked | 50.0 |
| Independent measurements behind it | 0 | 3 |
| Cost per solved task | $1.818 | $0.01 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is GPT-4.1 Mini better than MiMo-V2.5 for coding?
Only MiMo-V2.5 has a coding score, 50.0 on the Vibe Coding Index; GPT-4.1 Mini has none, so the two cannot be ranked on coding. Pick GPT-4.1 Mini for work measured by TaxEval (Vals AI) or MortgageTax (Vals AI), where it leads.
Which is cheaper, GPT-4.1 Mini or MiMo-V2.5?
GPT-4.1 Mini costs $0.40 per million input tokens and $1.60 per million output tokens; MiMo-V2.5 costs $0.168 and $0.336. Per solved SWE-bench Verified task, GPT-4.1 Mini costs $1.818 and MiMo-V2.5 $0.01.
Which has the bigger context window, GPT-4.1 Mini or MiMo-V2.5?
MiMo-V2.5, with 1.05M tokens against 1.05M.
How many benchmarks is the GPT-4.1 Mini vs MiMo-V2.5 comparison based on?
59 benchmarks have a result for both models as of October 22, 2026. GPT-4.1 Mini's coding index rests on 0 independent benchmarks and MiMo-V2.5's on 3. Where only one model has a result, the page says so instead of naming a winner.