Ling 3.0 Flash vs MiMo-V2.6-Flash
MiMo-V2.6-Flash leads Ling 3.0 Flash on coding, 54.7 to 29.6 on the Vibe Coding Index, and Ling 3.0 Flash costs 2.3x less per output token ($0.1215 vs $0.28 per million). Updated October 22, 2026; 13 benchmarks have a result for both.
Ling 3.0 Flash 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 29.6 for Ling 3.0 Flash.
Pick Ling 3.0 Flash for output tokens 2.3x cheaper ($0.1215 vs $0.28 per million).
- Shared results
- 13
- Ling 3.0 Flash only
- 11
- MiMo-V2.6-Flash only
- 53
- 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 29.6.
2 and 3 benchmarks behind the scores
Intelligence
AA Intelligence Index
MiMo-V2.6-Flash
MiMo-V2.6-Flash leads, 37.9 against 20.1.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Ling 3.0 Flash has a AA Agentic Index result, 19.3.
Directional only
Reasoning
GPQA Diamond
No call
Only Ling 3.0 Flash has a GPQA Diamond result, 84.8%.
Directional only
Knowledge
MMLU Pro
No call
Only Ling 3.0 Flash has a MMLU Pro result, 82.0%.
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 262K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Ling 3.0 Flash
Ling 3.0 Flash $0.0001, MiMo-V2.6-Flash $0.0003 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Ling 3.0 Flash has the number, $0.05.
Directional only
At a glance
- Coding index
- Ling 3.0 Flash 29.6 from 2 benchmarks, MiMo-V2.6-Flash 54.7 from 3 benchmarks.
- Widest category
- Coding, 38.1 points apart on average over 4 shared benchmarks.
- Widest single gap
- Vibe Code Bench (Vals AI): Ling 3.0 Flash 2.9% against MiMo-V2.6-Flash 79.0%, 76.0 points apart on a 0 to 100 scale.
- Output price
- Ling 3.0 Flash $0.1215 against MiMo-V2.6-Flash $0.28 per million output tokens, 2.3x apart.
- Context window
- Ling 3.0 Flash takes 262K 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 | Ling 3.0 Flash | Bars | MiMo-V2.6-Flash | Ties |
|---|---|---|---|---|
| Coding | 0 | 4 | ||
| Intelligence | 0 | 1 | ||
| Agentic work | 0 | 3 | ||
| Reasoning | 0 | 1 | ||
| Knowledge | 0 | 1 | ||
| General | 0 | 3 | ||
| All shared boards | 0 | 13 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index04
| Benchmark | Ling 3.0 Flash | MiMo-V2.6-Flash | Leader |
|---|---|---|---|
| LMArena WebDev | Not measured | 1634 | Only MiMo-V2.6-Flash measured |
| AA Coding Index | 50.6 | Not measured | Only Ling 3.0 Flash measured |
| LiveCodeBench (Vals AI) | 84.0% | Not measured | Only Ling 3.0 Flash measured |
| SWE-bench Verified (Vals AI) | 65.2% | Not measured | Only Ling 3.0 Flash measured |
| Terminal-Bench 4 (Vals AI) | Not measured | 24.2% | Only MiMo-V2.6-Flash measured |
| Vibe Code Bench (Vals AI) | 2.9% | 79.0% | MiMo-V2.6-Flash |
| Code migration (Vals AI) | 0.0% | 40.9% | MiMo-V2.6-Flash |
| 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) | 50.2% | 76.4% | MiMo-V2.6-Flash |
| SkillsBench (Vals AI) | 27.9% | Not measured | Only Ling 3.0 Flash measured |
| CyberBench (Vals AI) | Not measured | 75.4% | Only MiMo-V2.6-Flash measured |
| SciCode | 42.0% | 51.3% | MiMo-V2.6-Flash |
| ALE-Bench | Not measured | 1244.2 | Only MiMo-V2.6-Flash measured |
| LMArena Text: coding | Not measured | 1499 | Only MiMo-V2.6-Flash measured |
| LMArena Text: software and IT | Not measured | 1497 | Only MiMo-V2.6-Flash measured |
| 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 20 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Ling 3.0 Flash | MiMo-V2.6-Flash | Leader |
|---|---|---|---|
| AA Intelligence Index | 20.1 | 37.9 | MiMo-V2.6-Flash |
| Neither model has a result on the other 1 board here | |||
Agentic workLike-for-likePublic boards, shown as published, kept out of the index03
| Benchmark | Ling 3.0 Flash | MiMo-V2.6-Flash | Leader |
|---|---|---|---|
| AA Agentic Index | 19.3 | Not measured | Only Ling 3.0 Flash measured |
| SREBench (Vals AI) | Not measured | 4.2% | Only MiMo-V2.6-Flash measured |
| Finance Agent (Vals AI) | 30.3% | 56.3% | MiMo-V2.6-Flash |
| Tax Agent Bench (Vals AI) | Not measured | 28.5% | Only MiMo-V2.6-Flash measured |
| Legal Research Bench (Vals AI) | 0.0% | 38.0% | MiMo-V2.6-Flash |
| Harvey's Legal Agent Benchmark (Vals AI) | Not measured | 13.3% | Only MiMo-V2.6-Flash measured |
| Excel Modeling Benchmark (Vals AI) | 25.0% | 65.5% | MiMo-V2.6-Flash |
| 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 |
| Neither model has a result on the other 31 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Ling 3.0 Flash | MiMo-V2.6-Flash | Leader |
|---|---|---|---|
| GPQA Diamond | 84.8% | Not measured | Only Ling 3.0 Flash measured |
| MysteryMechanism (Vals AI) | Not measured | 21.6% | Only MiMo-V2.6-Flash measured |
| GPQA Diamond (Artificial Analysis run) | 85.5% | Not measured | Only Ling 3.0 Flash measured |
| Humanity's Last Exam (Artificial Analysis run) | 23.7% | 35.1% | MiMo-V2.6-Flash |
| LMArena Text: hard prompts | Not measured | 1475 | Only MiMo-V2.6-Flash measured |
| LMArena Text: expert | Not measured | 1496 | Only MiMo-V2.6-Flash measured |
| LMArena Text: hard prompts in English | Not measured | 1493 | Only MiMo-V2.6-Flash measured |
| 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 13 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
| Benchmark | Ling 3.0 Flash | MiMo-V2.6-Flash | Leader |
|---|---|---|---|
| ProofBench | Not measured | 63.0% | Only MiMo-V2.6-Flash measured |
| LMArena Text: math | Not measured | 1476 | Only MiMo-V2.6-Flash measured |
| LMArena Text: mathematical work | Not measured | 1478 | Only MiMo-V2.6-Flash measured |
| Neither model has a result on the other 10 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Ling 3.0 Flash | MiMo-V2.6-Flash | Leader |
|---|---|---|---|
| MMLU Pro | 82.0% | Not measured | Only Ling 3.0 Flash measured |
| LegalBench (Vals AI) | 79.7% | Not measured | Only Ling 3.0 Flash measured |
| CorpFin (Vals AI) | 61.9% | Not measured | Only Ling 3.0 Flash measured |
| TaxEval (Vals AI) | 70.7% | Not measured | Only Ling 3.0 Flash measured |
| MedCode (Vals AI) | 32.3% | 41.1% | MiMo-V2.6-Flash |
| LMArena Text: science | Not measured | 1462 | Only MiMo-V2.6-Flash measured |
| LMArena Text: medicine and healthcare | Not measured | 1439 | Only MiMo-V2.6-Flash measured |
| LMArena Text: legal and government | Not measured | 1441 | Only MiMo-V2.6-Flash measured |
| LMArena Text: business and finance | Not measured | 1454 | Only MiMo-V2.6-Flash measured |
| 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 | Ling 3.0 Flash | 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 index03
| Benchmark | Ling 3.0 Flash | MiMo-V2.6-Flash | Leader |
|---|---|---|---|
| Vals Index | Not measured | 54.8% | Only MiMo-V2.6-Flash measured |
| Public Benefits Bench (Vals AI) | 50.7% | 67.6% | MiMo-V2.6-Flash |
| SAGE (Vals AI) | Not measured | 43.5% | Only MiMo-V2.6-Flash measured |
| MedScribe (Vals AI) | 80.9% | 85.3% | MiMo-V2.6-Flash |
| Long context reasoning (AA-LCR) | 73.0% | 74.3% | MiMo-V2.6-Flash |
| LMArena Text | Not measured | 1453 | Only MiMo-V2.6-Flash measured |
| LMArena Text: instruction following | Not measured | 1452 | Only MiMo-V2.6-Flash measured |
| LMArena Text: creative writing | Not measured | 1403 | Only MiMo-V2.6-Flash measured |
| LMArena Vision | Not measured | 1256 | Only MiMo-V2.6-Flash measured |
| LMArena Text: English | Not measured | 1476 | Only MiMo-V2.6-Flash measured |
| LMArena Text: non-English | Not measured | 1431 | Only MiMo-V2.6-Flash measured |
| LMArena Text: Chinese | Not measured | 1509 | Only MiMo-V2.6-Flash measured |
| LMArena Text: German | Not measured | 1458 | Only MiMo-V2.6-Flash measured |
| LMArena Text: Japanese | Not measured | 1359 | Only MiMo-V2.6-Flash measured |
| LMArena Text: Korean | Not measured | 1425 | Only MiMo-V2.6-Flash measured |
| LMArena Text: French | Not measured | 1480 | Only MiMo-V2.6-Flash measured |
| LMArena Text: Spanish | Not measured | 1453 | Only MiMo-V2.6-Flash measured |
| LMArena Text: Russian | Not measured | 1409 | Only MiMo-V2.6-Flash measured |
| LMArena Text: Polish | Not measured | 1455 | Only MiMo-V2.6-Flash measured |
| LMArena Text: multi-turn | Not measured | 1447 | Only MiMo-V2.6-Flash measured |
| LMArena Text: longer queries | Not measured | 1459 | Only MiMo-V2.6-Flash measured |
| LMArena Text: writing and language | Not measured | 1424 | Only MiMo-V2.6-Flash measured |
| LMArena Text: entertainment and media | Not measured | 1415 | Only MiMo-V2.6-Flash measured |
| LMArena Vision: English | Not measured | 1269 | Only MiMo-V2.6-Flash 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 20 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Ling 3.0 Flash | 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
Ling 3.0 Flash costs less
Repository review
50K input + 3K output tokens
Ling 3.0 Flash costs less
Agent loop
200K input + 10K output tokens
Ling 3.0 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 | inclusionAI Ling 3.0 Flash | Xiaomi MiMo-V2.6-Flash |
|---|---|---|
| Maker | inclusionAI | Xiaomi |
| Weights | Open weights | Open weights |
| Released | July 23, 2026 | September 21, 2026 |
| Context window | 262K | 1.05M |
| Input $/Mtok | $0.0405 | $0.14 |
| Output $/Mtok | $0.1215 | $0.28 |
| Coding index | 29.6 | 54.7 |
| Independent measurements behind it | 2 | 3 |
| Cost per solved task | $0.05 | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Ling 3.0 Flash 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 29.6 for Ling 3.0 Flash. Pick Ling 3.0 Flash for output tokens 2.3x cheaper ($0.1215 vs $0.28 per million).
Which is cheaper, Ling 3.0 Flash or MiMo-V2.6-Flash?
Ling 3.0 Flash costs $0.0405 per million input tokens and $0.1215 per million output tokens; MiMo-V2.6-Flash costs $0.14 and $0.28. Cost per solved task is known for Ling 3.0 Flash only.
Which has the bigger context window, Ling 3.0 Flash or MiMo-V2.6-Flash?
MiMo-V2.6-Flash, with 1.05M tokens against 262K.
How many benchmarks is the Ling 3.0 Flash vs MiMo-V2.6-Flash comparison based on?
13 benchmarks have a result for both models as of October 22, 2026. Ling 3.0 Flash's coding index rests on 2 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.