Gemini 3.8 Flash vs MiMo-V2.5-Pro
Gemini 3.8 Flash leads MiMo-V2.5-Pro on coding, 61.6 to 31.6 on the Vibe Coding Index, and MiMo-V2.5-Pro costs 4.1x less per output token ($0.9152 vs $3.75 per million). Updated October 21, 2026; 66 benchmarks have a result for both.
Gemini 3.8 Flash or MiMo-V2.5-Pro: which to pick
Pick Gemini 3.8 Flash for coding: it scores 61.6 on the Vibe Coding Index against 31.6 for MiMo-V2.5-Pro.
Pick MiMo-V2.5-Pro for output tokens 4.1x cheaper ($0.9152 vs $3.75 per million) and a lower cost per solved task ($0.03 against $2.74).
- Shared results
- 66
- Gemini 3.8 Flash only
- 62
- MiMo-V2.5-Pro only
- 4
- 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
Gemini 3.8 Flash
Gemini 3.8 Flash scores 61.6 against 31.6.
6 and 4 benchmarks behind the scores
Intelligence
AA Intelligence Index
Gemini 3.8 Flash
Gemini 3.8 Flash leads, 40.9 against 26.0.
Same board, both measured
Agentic work
AA Agentic Index
Gemini 3.8 Flash
Gemini 3.8 Flash leads, 40.2 against 21.3.
Same board, both measured
Reasoning
GPQA Diamond
Gemini 3.8 Flash
Gemini 3.8 Flash leads, 94.4% against 82.6%.
Same board, both measured
Knowledge
MMLU Pro
Gemini 3.8 Flash
Gemini 3.8 Flash leads, 90.2% against 84.6%.
Same board, both measured
Web design
Design Arena: websites
Gemini 3.8 Flash
Gemini 3.8 Flash leads, 1300 against 1267.
Same board, both measured
General
Vals Index
No call
Only Gemini 3.8 Flash has a Vals Index result, 56.0%.
Directional only
Long documents
Listed context window
MiMo-V2.5-Pro
MiMo-V2.5-Pro takes 1.05M tokens against 1.05M.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
MiMo-V2.5-Pro
Gemini 3.8 Flash $0.0026, MiMo-V2.5-Pro $0.0009 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
MiMo-V2.5-Pro
Gemini 3.8 Flash $2.74, MiMo-V2.5-Pro $0.03.
Published attempt cost and pass rate
At a glance
- Coding index
- Gemini 3.8 Flash 61.6 from 6 benchmarks, MiMo-V2.5-Pro 31.6 from 4 benchmarks.
- Widest category
- Agentic work, 19.9 points apart on average over 5 shared benchmarks.
- Widest single gap
- Vibe Code Bench (Vals AI): Gemini 3.8 Flash 78.7% against MiMo-V2.5-Pro 34.1%, 44.5 points apart on a 0 to 100 scale.
- Output price
- Gemini 3.8 Flash $3.75 against MiMo-V2.5-Pro $0.9152 per million output tokens, 4.1x apart.
- Context window
- Gemini 3.8 Flash takes 1.05M tokens, MiMo-V2.5-Pro 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 3.8 Flash | Bars | MiMo-V2.5-Pro | Ties |
|---|---|---|---|---|
| Coding | 14 | 0 | ||
| Intelligence | 1 | 0 | ||
| Agentic work | 5 | 0 | ||
| Reasoning | 6 | 0 | ||
| Math | 3 | 0 | ||
| Knowledge | 8 | 0 | ||
| Web design | 8 | 0 | ||
| General | 21 | 0 | ||
| All shared boards | 66 | 0 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index140
| Benchmark | Gemini 3.8 Flash | MiMo-V2.5-Pro | Leader |
|---|---|---|---|
| LiveBench coding | 82.2% | Not measured | Only Gemini 3.8 Flash measured |
| LMArena WebDev | 1585 | 1480 | Gemini 3.8 Flash |
| AA Coding Index | 76.3 | 60.2 | Gemini 3.8 Flash |
| LiveCodeBench (Vals AI) | 89.5% | 81.3% | Gemini 3.8 Flash |
| SWE-bench Verified (Vals AI) | 80.0% | 74.0% | Gemini 3.8 Flash |
| Terminal-Bench 4 (Vals AI) | 19.7% | 0.5% | Gemini 3.8 Flash |
| Vibe Code Bench (Vals AI) | 78.7% | 34.1% | Gemini 3.8 Flash |
| Code migration (Vals AI) | 36.5% | 21.6% | Gemini 3.8 Flash |
| ProgramBench (Vals AI) | 1.0% | Not measured | Only Gemini 3.8 Flash measured |
| IOI (Vals AI) | 56.9% | Not measured | Only Gemini 3.8 Flash measured |
| Terminal-Bench 2.1 (Vals AI) | 81.3% | 57.3% | Gemini 3.8 Flash |
| SWE-bench Multimodal (Vals AI) | 40.8% | Not measured | Only Gemini 3.8 Flash measured |
| Vibe Code Bench 1-100 (Vals AI) | 18.8% | Not measured | Only Gemini 3.8 Flash measured |
| SkillsBench (Vals AI) | 58.0% | Not measured | Only Gemini 3.8 Flash measured |
| CyberBench (Vals AI) | 43.8% | Not measured | Only Gemini 3.8 Flash measured |
| SciCode | 56.6% | 50.6% | Gemini 3.8 Flash |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 43.2% | Only MiMo-V2.5-Pro measured |
| FrontierCode | 41.2% | Not measured | Only Gemini 3.8 Flash measured |
| FrontierSWE | 19.6% | Not measured | Only Gemini 3.8 Flash measured |
| WeirdML | 84.8% | Not measured | Only Gemini 3.8 Flash measured |
| ALE-Bench | 1269.7 | 899.8 | Gemini 3.8 Flash |
| LMArena Text: coding | 1508 | 1501 | Gemini 3.8 Flash |
| LMArena Text: software and IT | 1507 | 1495 | Gemini 3.8 Flash |
| LMArena WebDev: React | 1577 | 1469 | Gemini 3.8 Flash |
| LMArena WebDev: HTML | 1616 | 1473 | Gemini 3.8 Flash |
| LMArena WebDev: from an image | 1593 | Not measured | Only Gemini 3.8 Flash measured |
| SciCode | 12.3% | Not measured | Only Gemini 3.8 Flash measured |
| Neither model has a result on the other 12 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Gemini 3.8 Flash | MiMo-V2.5-Pro | Leader |
|---|---|---|---|
| AA Intelligence Index | 40.9 | 26.0 | Gemini 3.8 Flash |
| Epoch Capabilities Index | 157.4 | Not measured | Only Gemini 3.8 Flash measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index50
| Benchmark | Gemini 3.8 Flash | MiMo-V2.5-Pro | Leader |
|---|---|---|---|
| AA Agentic Index | 40.2 | 21.3 | Gemini 3.8 Flash |
| Design Arena: agents building web apps | 1238 | Not measured | Only Gemini 3.8 Flash measured |
| Design Arena: agents building full-stack apps | 1244 | Not measured | Only Gemini 3.8 Flash measured |
| Design Arena: agents building mobile apps | 1236 | Not measured | Only Gemini 3.8 Flash measured |
| Design Arena: agents building Android apps | 1074 | Not measured | Only Gemini 3.8 Flash measured |
| Design Arena: agents building Godot games | 1273 | Not measured | Only Gemini 3.8 Flash measured |
| Design Arena: PowerPoint slides | 1177 | Not measured | Only Gemini 3.8 Flash measured |
| Design Arena: spreadsheets | 1056 | Not measured | Only Gemini 3.8 Flash measured |
| LiveBench research | 79.1% | Not measured | Only Gemini 3.8 Flash measured |
| LiveBench browser | 64.0% | Not measured | Only Gemini 3.8 Flash measured |
| LiveBench long agentic | 30.1% | Not measured | Only Gemini 3.8 Flash measured |
| SREBench (Vals AI) | 11.1% | Not measured | Only Gemini 3.8 Flash measured |
| Finance Agent (Vals AI) | 61.4% | 41.5% | Gemini 3.8 Flash |
| Tax Agent Bench (Vals AI) | 32.1% | 11.5% | Gemini 3.8 Flash |
| Legal Research Bench (Vals AI) | 38.9% | 15.9% | Gemini 3.8 Flash |
| Harvey's Legal Agent Benchmark (Vals AI) | 12.1% | Not measured | Only Gemini 3.8 Flash measured |
| Excel Modeling Benchmark (Vals AI) | 72.2% | 55.2% | Gemini 3.8 Flash |
| BioMysteryBench (Vals AI) | 62.2% | Not measured | Only Gemini 3.8 Flash measured |
| Terminal-Bench-Science (Vals AI) | 8.6% | Not measured | Only Gemini 3.8 Flash measured |
| Vals Science Index | 35.8% | Not measured | Only Gemini 3.8 Flash measured |
| Time Horizon Index (Vals AI) | 18.8% | Not measured | Only Gemini 3.8 Flash measured |
| CUA-bench (Vals AI) | 4.2% | Not measured | Only Gemini 3.8 Flash measured |
| τ²-Bench Telecom | Not measured | 94.2% | Only MiMo-V2.5-Pro measured |
| APEX-Agents | 64.3% | Not measured | Only Gemini 3.8 Flash measured |
| Remote Labor Index | 5.8% | Not measured | Only Gemini 3.8 Flash measured |
| Vending-Bench 2 | $5,094 | Not measured | Only Gemini 3.8 Flash measured |
| Neither model has a result on the other 15 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index60
| Benchmark | Gemini 3.8 Flash | MiMo-V2.5-Pro | Leader |
|---|---|---|---|
| GPQA Diamond | 94.4% | 82.6% | Gemini 3.8 Flash |
| LiveBench reasoning | 89.3% | Not measured | Only Gemini 3.8 Flash measured |
| MysteryMechanism (Vals AI) | 36.5% | Not measured | Only Gemini 3.8 Flash measured |
| MMMU Pro (Vals AI) | 89.1% | Not measured | Only Gemini 3.8 Flash measured |
| GPQA Diamond (Artificial Analysis run) | 95.3% | 86.6% | Gemini 3.8 Flash |
| Humanity's Last Exam (Artificial Analysis run) | 47.8% | 35.7% | Gemini 3.8 Flash |
| GPQA Diamond (Epoch AI run) | 95.4% | Not measured | Only Gemini 3.8 Flash measured |
| ARC-AGI | 98.5% | Not measured | Only Gemini 3.8 Flash measured |
| ARC-AGI-2 | 89.2% | Not measured | Only Gemini 3.8 Flash measured |
| Chess puzzles | 58.0% | Not measured | Only Gemini 3.8 Flash measured |
| Mystery game puzzles | 47.0% | Not measured | Only Gemini 3.8 Flash measured |
| LMArena Text: hard prompts | 1509 | 1486 | Gemini 3.8 Flash |
| LMArena Text: expert | 1526 | 1501 | Gemini 3.8 Flash |
| LMArena Text: hard prompts in English | 1504 | 1494 | Gemini 3.8 Flash |
| LMArena Vision: diagrams | 1345 | Not measured | Only Gemini 3.8 Flash measured |
| LMArena Vision: homework | 1351 | Not measured | Only Gemini 3.8 Flash measured |
| Neither model has a result on the other 6 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index30
| Benchmark | Gemini 3.8 Flash | MiMo-V2.5-Pro | Leader |
|---|---|---|---|
| OTIS Mock AIME | 98.9% | Not measured | Only Gemini 3.8 Flash measured |
| FrontierMath, tiers 1 to 3 | 68.4% | Not measured | Only Gemini 3.8 Flash measured |
| FrontierMath, tier 4 | 22.0% | Not measured | Only Gemini 3.8 Flash measured |
| ProofBench | 48.0% | 22.0% | Gemini 3.8 Flash |
| LMArena Text: math | 1532 | 1481 | Gemini 3.8 Flash |
| LMArena Text: mathematical work | 1519 | 1491 | Gemini 3.8 Flash |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index80
| Benchmark | Gemini 3.8 Flash | MiMo-V2.5-Pro | Leader |
|---|---|---|---|
| MMLU Pro | 90.2% | 84.6% | Gemini 3.8 Flash |
| LegalBench (Vals AI) | 87.0% | 77.1% | Gemini 3.8 Flash |
| CorpFin (Vals AI) | Not measured | 61.4% | Only MiMo-V2.5-Pro measured |
| TaxEval (Vals AI) | 74.5% | 73.8% | Gemini 3.8 Flash |
| MortgageTax (Vals AI) | 65.3% | Not measured | Only Gemini 3.8 Flash measured |
| MedCode (Vals AI) | 48.1% | 32.5% | Gemini 3.8 Flash |
| SimpleQA Verified | 69.7% | Not measured | Only Gemini 3.8 Flash measured |
| LMArena Text: science | 1523 | 1482 | Gemini 3.8 Flash |
| LMArena Text: medicine and healthcare | 1508 | 1473 | Gemini 3.8 Flash |
| LMArena Text: legal and government | 1497 | 1474 | Gemini 3.8 Flash |
| LMArena Text: business and finance | 1479 | 1466 | Gemini 3.8 Flash |
| FACTS Benchmark Suite | 69.4% | Not measured | Only Gemini 3.8 Flash measured |
| Neither model has a result on the other 6 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index80
| Benchmark | Gemini 3.8 Flash | MiMo-V2.5-Pro | Leader |
|---|---|---|---|
| Design Arena: websites | 1300 | 1267 | Gemini 3.8 Flash |
| Design Arena: UI components | 1319 | 1249 | Gemini 3.8 Flash |
| Design Arena: game dev | 1305 | 1262 | Gemini 3.8 Flash |
| Design Arena: data viz | 1269 | 1257 | Gemini 3.8 Flash |
| Design Arena: 3D | 1295 | 1244 | Gemini 3.8 Flash |
| Design Arena: all code categories | 1304 | 1266 | Gemini 3.8 Flash |
| Design Arena: SVG | 1295 | 1181 | Gemini 3.8 Flash |
| Design Arena: ASCII art | 1265 | 1156 | Gemini 3.8 Flash |
| LiveBench design | 72.7% | Not measured | Only Gemini 3.8 Flash measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index210
| Benchmark | Gemini 3.8 Flash | MiMo-V2.5-Pro | Leader |
|---|---|---|---|
| Vals Index | 56.0% | Not measured | Only Gemini 3.8 Flash measured |
| LiveBench data analysis | 54.0% | Not measured | Only Gemini 3.8 Flash measured |
| Public Benefits Bench (Vals AI) | 65.3% | Not measured | Only Gemini 3.8 Flash measured |
| SAGE (Vals AI) | 35.1% | Not measured | Only Gemini 3.8 Flash measured |
| MedScribe (Vals AI) | 84.5% | 83.7% | Gemini 3.8 Flash |
| IFBench | Not measured | 79.9% | Only MiMo-V2.5-Pro measured |
| Long context reasoning (AA-LCR) | 84.0% | 79.7% | Gemini 3.8 Flash |
| DTBench | 95.7% | 84.5% | Gemini 3.8 Flash |
| LMCA | 52.9% | 29.5% | Gemini 3.8 Flash |
| Surface Evolver Bench | 76.9% | Not measured | Only Gemini 3.8 Flash measured |
| Furniture assembly | 31.7% | Not measured | Only Gemini 3.8 Flash measured |
| LMArena Text | 1499 | 1464 | Gemini 3.8 Flash |
| LMArena Text: instruction following | 1492 | 1475 | Gemini 3.8 Flash |
| LMArena Text: creative writing | 1488 | 1438 | Gemini 3.8 Flash |
| LMArena Vision | 1315 | Not measured | Only Gemini 3.8 Flash measured |
| LMArena Text: English | 1498 | 1477 | Gemini 3.8 Flash |
| LMArena Text: non-English | 1491 | 1448 | Gemini 3.8 Flash |
| LMArena Text: Chinese | 1553 | 1507 | Gemini 3.8 Flash |
| LMArena Text: German | 1501 | 1459 | Gemini 3.8 Flash |
| LMArena Text: Japanese | 1507 | 1410 | Gemini 3.8 Flash |
| LMArena Text: Korean | 1464 | 1435 | Gemini 3.8 Flash |
| LMArena Text: French | 1496 | 1487 | Gemini 3.8 Flash |
| LMArena Text: Spanish | 1487 | 1469 | Gemini 3.8 Flash |
| LMArena Text: Russian | 1514 | 1449 | Gemini 3.8 Flash |
| LMArena Text: Polish | 1497 | 1464 | Gemini 3.8 Flash |
| LMArena Text: multi-turn | 1503 | 1476 | Gemini 3.8 Flash |
| LMArena Text: longer queries | 1507 | 1481 | Gemini 3.8 Flash |
| LMArena Text: writing and language | 1494 | 1451 | Gemini 3.8 Flash |
| LMArena Text: entertainment and media | 1480 | 1438 | Gemini 3.8 Flash |
| LMArena Vision: English | 1318 | Not measured | Only Gemini 3.8 Flash measured |
| LMArena Vision: Chinese | 1416 | Not measured | Only Gemini 3.8 Flash measured |
| LMArena Vision: reading text | 1333 | Not measured | Only Gemini 3.8 Flash measured |
| LMArena Vision: humor | 1321 | Not measured | Only Gemini 3.8 Flash measured |
| LMArena Vision: creative writing | 1299 | Not measured | Only Gemini 3.8 Flash measured |
| Neither model has a result on the other 12 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Gemini 3.8 Flash | MiMo-V2.5-Pro | 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-Pro costs less
Repository review
50K input + 3K output tokens
MiMo-V2.5-Pro costs less
Agent loop
200K input + 10K output tokens
MiMo-V2.5-Pro 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 3.8 Flash | Xiaomi MiMo-V2.5-Pro |
|---|---|---|
| Maker | Xiaomi | |
| Weights | No public weights listed | Open weights |
| Released | September 2, 2026 | April 22, 2026 |
| Context window | 1.05M | 1.05M |
| Input $/Mtok | $0.75 | $0.4575 |
| Output $/Mtok | $3.75 | $0.9152 |
| Coding index | 61.6 | 31.6 |
| Independent measurements behind it | 6 | 4 |
| Cost per solved task | $2.74 | $0.03 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Gemini 3.8 Flash better than MiMo-V2.5-Pro for coding?
Pick Gemini 3.8 Flash for coding: it scores 61.6 on the Vibe Coding Index against 31.6 for MiMo-V2.5-Pro. Pick MiMo-V2.5-Pro for output tokens 4.1x cheaper ($0.9152 vs $3.75 per million) and a lower cost per solved task ($0.03 against $2.74).
Which is cheaper, Gemini 3.8 Flash or MiMo-V2.5-Pro?
Gemini 3.8 Flash costs $0.75 per million input tokens and $3.75 per million output tokens; MiMo-V2.5-Pro costs $0.4575 and $0.9152. Per solved SWE-bench Verified task, Gemini 3.8 Flash costs $2.74 and MiMo-V2.5-Pro $0.03.
Which has the bigger context window, Gemini 3.8 Flash or MiMo-V2.5-Pro?
MiMo-V2.5-Pro, with 1.05M tokens against 1.05M.
How many benchmarks is the Gemini 3.8 Flash vs MiMo-V2.5-Pro comparison based on?
66 benchmarks have a result for both models as of October 21, 2026. Gemini 3.8 Flash's coding index rests on 6 independent benchmarks and MiMo-V2.5-Pro's on 4. Where only one model has a result, the page says so instead of naming a winner.