Gemini 2.5 Pro vs MiMo-V2.6-Flash
MiMo-V2.6-Flash leads Gemini 2.5 Pro on coding, 54.7 to 19.1 on the Vibe Coding Index, and MiMo-V2.6-Flash costs 35.7x less per output token ($0.28 vs $10.00 per million). Updated October 22, 2026; 45 benchmarks have a result for both.
Gemini 2.5 Pro or MiMo-V2.6-Flash: which to pick
Pick MiMo-V2.6-Flash for coding: it scores 54.7 on the Vibe Coding Index against 19.1 for Gemini 2.5 Pro.
Pick Gemini 2.5 Pro for work measured by MedCode (Vals AI) or LMArena Text: science, where it leads.
- Shared results
- 45
- Gemini 2.5 Pro only
- 45
- MiMo-V2.6-Flash only
- 21
- Like-for-like categories
- 6 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
MiMo-V2.6-Flash
MiMo-V2.6-Flash scores 54.7 against 19.1.
3 benchmarks behind each score
Intelligence
AA Intelligence Index
MiMo-V2.6-Flash
MiMo-V2.6-Flash leads, 37.9 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
No call
Only Gemini 2.5 Pro has a Design Arena: websites result, 1167.
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 1.05M.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
MiMo-V2.6-Flash
Gemini 2.5 Pro $0.0063, MiMo-V2.6-Flash $0.0003 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Gemini 2.5 Pro has the number, $0.64.
Directional only
At a glance
- Coding index
- Gemini 2.5 Pro 19.1 from 3 benchmarks, MiMo-V2.6-Flash 54.7 from 3 benchmarks.
- Widest category
- Coding, 38.4 points apart on average over 7 shared benchmarks.
- Widest single gap
- Vibe Code Bench (Vals AI): Gemini 2.5 Pro 0.4% against MiMo-V2.6-Flash 79.0%, 78.6 points apart on a 0 to 100 scale.
- Output price
- Gemini 2.5 Pro $10.00 against MiMo-V2.6-Flash $0.28 per million output tokens, 35.7x apart.
- Context window
- Gemini 2.5 Pro takes 1.05M 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 | Gemini 2.5 Pro | Bars | MiMo-V2.6-Flash | Ties |
|---|---|---|---|---|
| Coding | 0 | 7 | ||
| Intelligence | 0 | 1 | ||
| Reasoning | 0 | 6 | ||
| Math | 0 | 2 | ||
| Knowledge | 4 | 1 | ||
| General | 15 | 9 | ||
| All shared boards | 19 | 26 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index07
| Benchmark | Gemini 2.5 Pro | MiMo-V2.6-Flash | Leader |
|---|---|---|---|
| SWE-bench Verified | 53.6% | Not measured | Only Gemini 2.5 Pro measured |
| LMArena WebDev | 1226 | 1634 | MiMo-V2.6-Flash |
| 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 |
| Terminal-Bench 4 (Vals AI) | Not measured | 24.2% | Only MiMo-V2.6-Flash measured |
| Vibe Code Bench (Vals AI) | 0.4% | 79.0% | MiMo-V2.6-Flash |
| 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 |
| LiveCodeBench (Artificial Analysis run) | 80.1% | Not measured | Only Gemini 2.5 Pro measured |
| SciCode | 46.3% | 51.3% | MiMo-V2.6-Flash |
| Terminal-Bench Hard (Artificial Analysis run) | 26.5% | Not measured | Only Gemini 2.5 Pro measured |
| Terminal-Bench | 32.6% | Not measured | Only Gemini 2.5 Pro measured |
| GSO-Bench | 3.9% | Not measured | Only Gemini 2.5 Pro measured |
| WeirdML | 54.0% | Not measured | Only Gemini 2.5 Pro measured |
| ALE-Bench | Not measured | 1244.2 | Only MiMo-V2.6-Flash measured |
| LMArena Text: coding | 1452 | 1499 | MiMo-V2.6-Flash |
| LMArena Text: software and IT | 1459 | 1497 | MiMo-V2.6-Flash |
| LMArena WebDev: React | Not measured | 1648 | Only MiMo-V2.6-Flash measured |
| LMArena WebDev: HTML | 1235 | 1641 | MiMo-V2.6-Flash |
| LMArena WebDev: from an image | 1285 | 1596 | MiMo-V2.6-Flash |
| Neither model has a result on the other 16 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Gemini 2.5 Pro | MiMo-V2.6-Flash | Leader |
|---|---|---|---|
| AA Intelligence Index | 16.1 | 37.9 | MiMo-V2.6-Flash |
| Epoch Capabilities Index | 145.1 | Not measured | Only Gemini 2.5 Pro measured |
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index15 boards, none shared
| Benchmark | Gemini 2.5 Pro | MiMo-V2.6-Flash | Leader |
|---|---|---|---|
| AA Agentic Index | 1.6 | Not measured | Only Gemini 2.5 Pro measured |
| 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 |
| τ²-Bench Telecom | 54.1% | Not measured | Only Gemini 2.5 Pro measured |
| 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 | Not measured | Only Gemini 2.5 Pro measured |
| BrowseComp-Plus | 29.5% | Not measured | Only Gemini 2.5 Pro measured |
| Neither model has a result on the other 26 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index06
| Benchmark | Gemini 2.5 Pro | MiMo-V2.6-Flash | Leader |
|---|---|---|---|
| MysteryMechanism (Vals AI) | Not measured | 21.6% | Only MiMo-V2.6-Flash measured |
| GPQA Diamond (Artificial Analysis run) | 84.4% | Not measured | Only Gemini 2.5 Pro measured |
| Humanity's Last Exam (Artificial Analysis run) | 22.5% | 35.1% | MiMo-V2.6-Flash |
| 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 | 1475 | MiMo-V2.6-Flash |
| LMArena Text: expert | 1452 | 1496 | MiMo-V2.6-Flash |
| LMArena Text: hard prompts in English | 1453 | 1493 | MiMo-V2.6-Flash |
| LMArena Vision: diagrams | 1274 | 1276 | MiMo-V2.6-Flash |
| LMArena Vision: homework | 1281 | 1283 | MiMo-V2.6-Flash |
| Kagi LLM Benchmark | 70.3% | Not measured | Only Gemini 2.5 Pro measured |
| Neither model has a result on the other 10 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Gemini 2.5 Pro | MiMo-V2.6-Flash | Leader |
|---|---|---|---|
| AA Math Index | 87.7 | Not measured | Only Gemini 2.5 Pro measured |
| AIME 2025 (Artificial Analysis run) | 87.7% | Not measured | Only Gemini 2.5 Pro measured |
| 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 |
| ProofBench | Not measured | 63.0% | Only MiMo-V2.6-Flash measured |
| LMArena Text: math | 1450 | 1476 | MiMo-V2.6-Flash |
| LMArena Text: mathematical work | 1454 | 1478 | MiMo-V2.6-Flash |
| Neither model has a result on the other 5 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index41
| Benchmark | Gemini 2.5 Pro | MiMo-V2.6-Flash | 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% | 41.1% | Gemini 2.5 Pro |
| MMLU Pro (Artificial Analysis run) | 86.2% | Not measured | Only Gemini 2.5 Pro measured |
| LMArena Text: science | 1480 | 1462 | Gemini 2.5 Pro |
| LMArena Text: medicine and healthcare | 1476 | 1439 | Gemini 2.5 Pro |
| LMArena Text: legal and government | 1480 | 1441 | Gemini 2.5 Pro |
| LMArena Text: business and finance | 1439 | 1454 | MiMo-V2.6-Flash |
| 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 designDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
| Benchmark | Gemini 2.5 Pro | MiMo-V2.6-Flash | Leader |
|---|---|---|---|
| Design Arena: websites | 1167 | Not measured | Only Gemini 2.5 Pro measured |
| Design Arena: UI components | 1137 | Not measured | Only Gemini 2.5 Pro measured |
| Design Arena: game dev | 1111 | Not measured | Only Gemini 2.5 Pro measured |
| Design Arena: data viz | 1222 | Not measured | Only Gemini 2.5 Pro measured |
| Design Arena: 3D | 1080 | Not measured | Only Gemini 2.5 Pro measured |
| Design Arena: all code categories | 1152 | Not measured | Only Gemini 2.5 Pro measured |
| Neither model has a result on the other 3 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index159
| Benchmark | Gemini 2.5 Pro | 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) | 41.9% | 43.5% | MiMo-V2.6-Flash |
| MedScribe (Vals AI) | 73.5% | 85.3% | MiMo-V2.6-Flash |
| IFBench | 48.7% | Not measured | Only Gemini 2.5 Pro measured |
| Long context reasoning (AA-LCR) | 69.0% | 74.3% | MiMo-V2.6-Flash |
| 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 | 1453 | Gemini 2.5 Pro |
| LMArena Text: instruction following | 1437 | 1452 | MiMo-V2.6-Flash |
| LMArena Text: creative writing | 1454 | 1403 | Gemini 2.5 Pro |
| LMArena Vision | 1263 | 1256 | Gemini 2.5 Pro |
| LMArena Text: English | 1458 | 1476 | MiMo-V2.6-Flash |
| LMArena Text: non-English | 1452 | 1431 | Gemini 2.5 Pro |
| LMArena Text: Chinese | 1507 | 1509 | MiMo-V2.6-Flash |
| LMArena Text: German | 1487 | 1458 | Gemini 2.5 Pro |
| LMArena Text: Japanese | 1461 | 1359 | Gemini 2.5 Pro |
| LMArena Text: Korean | 1434 | 1425 | Gemini 2.5 Pro |
| LMArena Text: French | 1473 | 1480 | MiMo-V2.6-Flash |
| LMArena Text: Spanish | 1474 | 1453 | Gemini 2.5 Pro |
| LMArena Text: Russian | 1461 | 1409 | Gemini 2.5 Pro |
| LMArena Text: Polish | 1479 | 1455 | Gemini 2.5 Pro |
| LMArena Text: multi-turn | 1453 | 1447 | Gemini 2.5 Pro |
| LMArena Text: longer queries | 1449 | 1459 | MiMo-V2.6-Flash |
| LMArena Text: writing and language | 1454 | 1424 | Gemini 2.5 Pro |
| LMArena Text: entertainment and media | 1441 | 1415 | Gemini 2.5 Pro |
| LMArena Vision: English | 1261 | 1269 | MiMo-V2.6-Flash |
| LMArena Vision: Chinese | 1300 | Not measured | Only Gemini 2.5 Pro measured |
| LMArena Vision: reading text | 1270 | 1270 | Gemini 2.5 Pro |
| 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 | 1231 | Gemini 2.5 Pro |
| LMArena Document | 1421 | Not measured | Only Gemini 2.5 Pro measured |
| Neither model has a result on the other 11 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Gemini 2.5 Pro | 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 | Google Gemini 2.5 Pro | Xiaomi MiMo-V2.6-Flash |
|---|---|---|
| Maker | Xiaomi | |
| Weights | No public weights listed | Open weights |
| Released | June 17, 2025 | September 21, 2026 |
| Context window | 1.05M | 1.05M |
| Input $/Mtok | $1.25 | $0.14 |
| Output $/Mtok | $10.00 | $0.28 |
| Coding index | 19.1 | 54.7 |
| Independent measurements behind it | 3 | 3 |
| Cost per solved task | $0.64 | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Gemini 2.5 Pro better than MiMo-V2.6-Flash for coding?
Pick MiMo-V2.6-Flash for coding: it scores 54.7 on the Vibe Coding Index against 19.1 for Gemini 2.5 Pro. Pick Gemini 2.5 Pro for work measured by MedCode (Vals AI) or LMArena Text: science, where it leads.
Which is cheaper, Gemini 2.5 Pro or MiMo-V2.6-Flash?
Gemini 2.5 Pro costs $1.25 per million input tokens and $10.00 per million output tokens; MiMo-V2.6-Flash costs $0.14 and $0.28. Cost per solved task is known for Gemini 2.5 Pro only.
Which has the bigger context window, Gemini 2.5 Pro or MiMo-V2.6-Flash?
MiMo-V2.6-Flash, with 1.05M tokens against 1.05M.
How many benchmarks is the Gemini 2.5 Pro vs MiMo-V2.6-Flash comparison based on?
45 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 MiMo-V2.6-Flash's on 3. Where only one model has a result, the page says so instead of naming a winner.