GPT-4o-mini (2024-07-18) vs MiMo-V2.6-Flash
Updated October 21, 2026. 30 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Pick MiMo-V2.6-Flash for coding: it scores 61.9 on the Vibe Coding Index against 3.6 for GPT-4o-mini (2024-07-18).
GPT-4o-mini (2024-07-18) is neither cheaper nor larger in context, and leads no benchmark both models were measured on.
- Shared results
- 30
- GPT-4o-mini (2024-07-18) only
- 16
- MiMo-V2.6-Flash only
- 36
- Like-for-like categories
- 5 of 9
Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.
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, four public coding benchmarks
MiMo-V2.6-Flash
MiMo-V2.6-Flash scores 61.9 against 3.6.
One benchmark behind each score
Intelligence
AA Intelligence Index
No call
Only MiMo-V2.6-Flash has a AA Intelligence Index result, 37.9.
Directional only
General
Vals Index
No call
Only MiMo-V2.6-Flash has a Vals Index result, 54.8%.
Directional only
Long documents
Listed context window
MiMo-V2.6-Flash
MiMo-V2.6-Flash takes 1.05M tokens against 128K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
MiMo-V2.6-Flash
GPT-4o-mini (2024-07-18) $0.0004, MiMo-V2.6-Flash $0.0003 per turn.
List prices
At a glance
- Coding index
- GPT-4o-mini (2024-07-18) 3.6 from 1 benchmark, MiMo-V2.6-Flash 61.9 from 1 benchmark.
- Widest category
- Reasoning, 38.0 points apart on average over 3 shared benchmarks.
- Widest single gap
- LMArena Text: expert: GPT-4o-mini (2024-07-18) 1234 against MiMo-V2.6-Flash 1496, 43.5 points apart on a 0 to 100 scale.
- Output price
- GPT-4o-mini (2024-07-18) $0.60 against MiMo-V2.6-Flash $0.28 per million output tokens, 2.1x apart.
- Context window
- GPT-4o-mini (2024-07-18) takes 128K tokens, MiMo-V2.6-Flash 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-4o-mini (2024-07-18) | Bars | MiMo-V2.6-Flash | Ties |
|---|---|---|---|---|
| Coding | 0 | 2 | ||
| Reasoning | 0 | 3 | ||
| Math | 0 | 2 | ||
| Knowledge | 0 | 4 | ||
| General | 0 | 19 | ||
| All shared boards | 0 | 30 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index02
| Benchmark | GPT-4o-mini (2024-07-18) | MiMo-V2.6-Flash | Leader |
|---|---|---|---|
| Aider polyglot | 3.6% | Not measured | Only GPT-4o-mini (2024-07-18) measured |
| LMArena WebDev | Not measured | 1634 | Only MiMo-V2.6-Flash measured |
| Terminal-Bench 4 (Vals AI) | Not measured | 24.2% | Only MiMo-V2.6-Flash measured |
| Vibe Code Bench (Vals AI) | Not measured | 79.0% | Only MiMo-V2.6-Flash measured |
| Code migration (Vals AI) | Not measured | 40.9% | Only MiMo-V2.6-Flash measured |
| ProgramBench (Vals AI) | Not measured | 0.5% | Only MiMo-V2.6-Flash measured |
| IOI (Vals AI) | Not measured | 47.7% | Only MiMo-V2.6-Flash measured |
| Terminal-Bench 2.1 (Vals AI) | Not measured | 76.4% | Only MiMo-V2.6-Flash measured |
| CyberBench (Vals AI) | Not measured | 75.4% | Only MiMo-V2.6-Flash measured |
| SciCode | Not measured | 51.3% | Only MiMo-V2.6-Flash measured |
| WeirdML | 11.8% | Not measured | Only GPT-4o-mini (2024-07-18) measured |
| ALE-Bench | Not measured | 1244.2 | Only MiMo-V2.6-Flash measured |
| LMArena Text: coding | 1290 | 1499 | MiMo-V2.6-Flash |
| LMArena Text: software and IT | 1291 | 1497 | MiMo-V2.6-Flash |
| LMArena WebDev: React | Not measured | 1648 | Only MiMo-V2.6-Flash measured |
| LMArena WebDev: HTML | Not measured | 1641 | Only MiMo-V2.6-Flash measured |
| LMArena WebDev: from an image | Not measured | 1596 | Only MiMo-V2.6-Flash measured |
| Neither model has a result on the other 21 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
| Benchmark | GPT-4o-mini (2024-07-18) | MiMo-V2.6-Flash | Leader |
|---|---|---|---|
| AA Intelligence Index | Not measured | 37.9 | Only MiMo-V2.6-Flash measured |
| Neither model has a result on the other 1 board here | |||
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index10 boards, none shared
| Benchmark | GPT-4o-mini (2024-07-18) | MiMo-V2.6-Flash | Leader |
|---|---|---|---|
| SREBench (Vals AI) | Not measured | 4.2% | Only MiMo-V2.6-Flash measured |
| Finance Agent (Vals AI) | Not measured | 56.3% | Only MiMo-V2.6-Flash measured |
| Tax Agent Bench (Vals AI) | Not measured | 28.5% | Only MiMo-V2.6-Flash measured |
| Legal Research Bench (Vals AI) | Not measured | 38.0% | Only MiMo-V2.6-Flash measured |
| Harvey's Legal Agent Benchmark (Vals AI) | Not measured | 13.3% | Only MiMo-V2.6-Flash measured |
| Excel Modeling Benchmark (Vals AI) | Not measured | 65.5% | Only MiMo-V2.6-Flash measured |
| BioMysteryBench (Vals AI) | Not measured | 69.3% | Only MiMo-V2.6-Flash measured |
| Terminal-Bench-Science (Vals AI) | Not measured | 4.3% | Only MiMo-V2.6-Flash measured |
| Vals Science Index | Not measured | 31.7% | Only MiMo-V2.6-Flash measured |
| BALROG | 17.4% | Not measured | Only GPT-4o-mini (2024-07-18) measured |
| Neither model has a result on the other 29 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index03
| Benchmark | GPT-4o-mini (2024-07-18) | MiMo-V2.6-Flash | Leader |
|---|---|---|---|
| MysteryMechanism (Vals AI) | Not measured | 21.6% | Only MiMo-V2.6-Flash measured |
| Humanity's Last Exam (Artificial Analysis run) | Not measured | 35.1% | Only MiMo-V2.6-Flash measured |
| GPQA Diamond (Epoch AI run) | 37.7% | Not measured | Only GPT-4o-mini (2024-07-18) measured |
| SimpleBench | 10.7% | Not measured | Only GPT-4o-mini (2024-07-18) measured |
| Chess puzzles | 3.0% | Not measured | Only GPT-4o-mini (2024-07-18) measured |
| Mystery game puzzles | 12.0% | Not measured | Only GPT-4o-mini (2024-07-18) measured |
| VPCT | 34.0% | Not measured | Only GPT-4o-mini (2024-07-18) measured |
| LMArena Text: hard prompts | 1267 | 1475 | MiMo-V2.6-Flash |
| LMArena Text: expert | 1234 | 1496 | MiMo-V2.6-Flash |
| LMArena Text: hard prompts in English | 1278 | 1493 | MiMo-V2.6-Flash |
| LMArena Vision: diagrams | Not measured | 1276 | Only MiMo-V2.6-Flash measured |
| LMArena Vision: homework | Not measured | 1283 | Only MiMo-V2.6-Flash measured |
| Neither model has a result on the other 9 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | GPT-4o-mini (2024-07-18) | MiMo-V2.6-Flash | Leader |
|---|---|---|---|
| OTIS Mock AIME | 6.9% | Not measured | Only GPT-4o-mini (2024-07-18) measured |
| FrontierMath, tiers 1 to 3 | 0.7% | Not measured | Only GPT-4o-mini (2024-07-18) measured |
| ProofBench | Not measured | 63.0% | Only MiMo-V2.6-Flash measured |
| MATH level 5 | 52.6% | Not measured | Only GPT-4o-mini (2024-07-18) measured |
| LMArena Text: math | 1267 | 1476 | MiMo-V2.6-Flash |
| LMArena Text: mathematical work | 1271 | 1478 | MiMo-V2.6-Flash |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
| Benchmark | GPT-4o-mini (2024-07-18) | MiMo-V2.6-Flash | Leader |
|---|---|---|---|
| MedCode (Vals AI) | Not measured | 41.1% | Only MiMo-V2.6-Flash measured |
| SimpleQA Verified | 8.3% | Not measured | Only GPT-4o-mini (2024-07-18) measured |
| MMLU | 76.7% | Not measured | Only GPT-4o-mini (2024-07-18) measured |
| GeoBench | 64.0% | Not measured | Only GPT-4o-mini (2024-07-18) measured |
| LMArena Text: science | 1286 | 1462 | MiMo-V2.6-Flash |
| LMArena Text: medicine and healthcare | 1282 | 1439 | MiMo-V2.6-Flash |
| LMArena Text: legal and government | 1305 | 1441 | MiMo-V2.6-Flash |
| LMArena Text: business and finance | 1265 | 1454 | MiMo-V2.6-Flash |
| Neither model has a result on the other 9 boards here | |||
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | GPT-4o-mini (2024-07-18) | MiMo-V2.6-Flash | Leader |
|---|---|---|---|
| Neither model has a result on 9 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index019
| Benchmark | GPT-4o-mini (2024-07-18) | MiMo-V2.6-Flash | Leader |
|---|---|---|---|
| Vals Index | Not measured | 54.8% | Only MiMo-V2.6-Flash measured |
| Public Benefits Bench (Vals AI) | Not measured | 67.6% | Only MiMo-V2.6-Flash measured |
| SAGE (Vals AI) | Not measured | 43.5% | Only MiMo-V2.6-Flash measured |
| MedScribe (Vals AI) | Not measured | 85.3% | Only MiMo-V2.6-Flash measured |
| Long context reasoning (AA-LCR) | Not measured | 74.3% | Only MiMo-V2.6-Flash measured |
| Creative writing (Lech Mazur) | 67.2% | Not measured | Only GPT-4o-mini (2024-07-18) measured |
| LMArena Text | 1286 | 1453 | MiMo-V2.6-Flash |
| LMArena Text: instruction following | 1258 | 1452 | MiMo-V2.6-Flash |
| LMArena Text: creative writing | 1268 | 1403 | MiMo-V2.6-Flash |
| LMArena Vision | 1066 | 1256 | MiMo-V2.6-Flash |
| LMArena Text: English | 1301 | 1476 | MiMo-V2.6-Flash |
| LMArena Text: non-English | 1266 | 1431 | MiMo-V2.6-Flash |
| LMArena Text: Chinese | 1265 | 1509 | MiMo-V2.6-Flash |
| LMArena Text: German | 1272 | 1458 | MiMo-V2.6-Flash |
| LMArena Text: Japanese | 1216 | 1359 | MiMo-V2.6-Flash |
| LMArena Text: Korean | 1195 | 1425 | MiMo-V2.6-Flash |
| LMArena Text: French | 1297 | 1480 | MiMo-V2.6-Flash |
| LMArena Text: Spanish | 1276 | 1453 | MiMo-V2.6-Flash |
| LMArena Text: Russian | 1275 | 1409 | MiMo-V2.6-Flash |
| LMArena Text: Polish | 1244 | 1455 | MiMo-V2.6-Flash |
| LMArena Text: multi-turn | 1285 | 1447 | MiMo-V2.6-Flash |
| LMArena Text: longer queries | 1289 | 1459 | MiMo-V2.6-Flash |
| LMArena Text: writing and language | 1282 | 1424 | MiMo-V2.6-Flash |
| LMArena Text: entertainment and media | 1253 | 1415 | MiMo-V2.6-Flash |
| LMArena Vision: English | 1072 | 1269 | MiMo-V2.6-Flash |
| LMArena Vision: Chinese | 1033 | Not measured | Only GPT-4o-mini (2024-07-18) measured |
| LMArena Vision: reading text | Not measured | 1270 | Only MiMo-V2.6-Flash measured |
| LMArena Vision: creative writing | Not measured | 1231 | Only MiMo-V2.6-Flash measured |
| Neither model has a result on the other 18 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | GPT-4o-mini (2024-07-18) | MiMo-V2.6-Flash | 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-V2.6-Flash costs less
Repository review
50K input + 3K output tokens
MiMo-V2.6-Flash costs less
Agent loop
200K input + 10K output tokens
MiMo-V2.6-Flash 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-4o-mini (2024-07-18) | Xiaomi MiMo-V2.6-Flash |
|---|---|---|
| Maker | OpenAI | Xiaomi |
| Weights | No public weights listed | Open weights |
| Released | July 18, 2024 | September 21, 2026 |
| Context window | 128K | 1.05M |
| Input $/Mtok | $0.15 | $0.14 |
| Output $/Mtok | $0.60 | $0.28 |
| Coding index | 3.6 | 61.9 |
| Independent measurements behind it | 1 | 1 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is GPT-4o-mini (2024-07-18) better than MiMo-V2.6-Flash for coding?
Pick MiMo-V2.6-Flash for coding: it scores 61.9 on the Vibe Coding Index against 3.6 for GPT-4o-mini (2024-07-18). GPT-4o-mini (2024-07-18) is neither cheaper nor larger in context, and leads no benchmark both models were measured on.
Which is cheaper, GPT-4o-mini (2024-07-18) or MiMo-V2.6-Flash?
GPT-4o-mini (2024-07-18) costs $0.15 per million input tokens and $0.60 per million output tokens; MiMo-V2.6-Flash costs $0.14 and $0.28. Cost per solved task is known for neither of them.
Which has the bigger context window, GPT-4o-mini (2024-07-18) or MiMo-V2.6-Flash?
MiMo-V2.6-Flash, with 1.05M tokens against 128K.
How many benchmarks is the GPT-4o-mini (2024-07-18) vs MiMo-V2.6-Flash comparison based on?
30 benchmarks have a result for both models as of October 21, 2026. GPT-4o-mini (2024-07-18)'s coding index rests on 1 independent benchmark and MiMo-V2.6-Flash's on 1. Where only one model has a result, the page says so instead of naming a winner.