Llama 4 Scout vs MiMo-V2.6-Flash
MiMo-V2.6-Flash leads Llama 4 Scout on the Artificial Analysis Intelligence Index, 37.9 to 6.5, and MiMo-V2.6-Flash costs 1.8x less per output token ($0.28 vs $0.50 per million). Updated October 22, 2026; 41 benchmarks have a result for both.
Llama 4 Scout or MiMo-V2.6-Flash: which to pick
Only MiMo-V2.6-Flash has a coding score, 54.7 on the Vibe Coding Index; Llama 4 Scout has none, so the two cannot be ranked on coding.
Pick Llama 4 Scout for a larger context window (1.31M against 1.05M tokens).
- Shared results
- 41
- Llama 4 Scout only
- 41
- MiMo-V2.6-Flash only
- 25
- 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
No call
Only MiMo-V2.6-Flash has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
MiMo-V2.6-Flash
MiMo-V2.6-Flash leads, 37.9 against 6.5.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Llama 4 Scout has a AA Agentic Index result, 0.5.
Directional only
Reasoning
GPQA Diamond
No call
Only Llama 4 Scout has a GPQA Diamond result, 47.0%.
Directional only
Math
AIME
No call
Only Llama 4 Scout has a AIME result, 19.0%.
Directional only
Knowledge
MMLU Pro
No call
Only Llama 4 Scout has a MMLU Pro result, 69.6%.
Directional only
Web design
Design Arena: websites
No call
Only Llama 4 Scout has a Design Arena: websites result, 750.
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
Llama 4 Scout
Llama 4 Scout takes 1.31M tokens against 1.05M.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
MiMo-V2.6-Flash
Llama 4 Scout $0.0004, MiMo-V2.6-Flash $0.0003 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Llama 4 Scout has the number, $1.276.
Directional only
At a glance
- Coding index
- Llama 4 Scout not benchmarked, MiMo-V2.6-Flash 54.7 from 3 benchmarks.
- Widest category
- Coding, 33.6 points apart on average over 3 shared benchmarks.
- Widest single gap
- Long context reasoning (AA-LCR): Llama 4 Scout 27.7% against MiMo-V2.6-Flash 74.3%, 46.6 points apart on a 0 to 100 scale.
- Output price
- Llama 4 Scout $0.50 against MiMo-V2.6-Flash $0.28 per million output tokens, 1.8x apart.
- Context window
- Llama 4 Scout takes 1.31M 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 | Llama 4 Scout | Bars | MiMo-V2.6-Flash | Ties |
|---|---|---|---|---|
| Coding | 0 | 3 | ||
| Intelligence | 0 | 1 | ||
| Reasoning | 0 | 6 | ||
| Math | 0 | 2 | ||
| Knowledge | 0 | 5 | ||
| General | 0 | 24 | ||
| All shared boards | 0 | 41 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index03
| Benchmark | Llama 4 Scout | MiMo-V2.6-Flash | Leader |
|---|---|---|---|
| SWE-bench Verified | 9.1% | Not measured | Only Llama 4 Scout measured |
| LMArena WebDev | Not measured | 1634 | Only MiMo-V2.6-Flash measured |
| AA Coding Index | 8.2 | Not measured | Only Llama 4 Scout measured |
| LiveCodeBench (Vals AI) | 38.5% | Not measured | Only Llama 4 Scout 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 |
| LiveCodeBench (Artificial Analysis run) | 29.9% | Not measured | Only Llama 4 Scout measured |
| SciCode | 21.3% | 51.3% | MiMo-V2.6-Flash |
| Terminal-Bench Hard (Artificial Analysis run) | 1.5% | Not measured | Only Llama 4 Scout measured |
| ALE-Bench | Not measured | 1244.2 | Only MiMo-V2.6-Flash measured |
| LMArena Text: coding | 1286 | 1499 | MiMo-V2.6-Flash |
| LMArena Text: software and IT | 1286 | 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 19 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Llama 4 Scout | MiMo-V2.6-Flash | Leader |
|---|---|---|---|
| AA Intelligence Index | 6.5 | 37.9 | MiMo-V2.6-Flash |
| Epoch Capabilities Index | 129.6 | Not measured | Only Llama 4 Scout measured |
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index12 boards, none shared
| Benchmark | Llama 4 Scout | MiMo-V2.6-Flash | Leader |
|---|---|---|---|
| AA Agentic Index | 0.5 | Not measured | Only Llama 4 Scout 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 | 15.5% | Not measured | Only Llama 4 Scout measured |
| Berkeley Function Calling Leaderboard (BFCL) | 28.1% | Not measured | Only Llama 4 Scout measured |
| Neither model has a result on the other 29 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index06
| Benchmark | Llama 4 Scout | MiMo-V2.6-Flash | Leader |
|---|---|---|---|
| GPQA Diamond | 47.0% | Not measured | Only Llama 4 Scout measured |
| MysteryMechanism (Vals AI) | Not measured | 21.6% | Only MiMo-V2.6-Flash measured |
| MMMU Pro (Vals AI) | 58.8% | Not measured | Only Llama 4 Scout measured |
| GPQA Diamond (Artificial Analysis run) | 58.7% | Not measured | Only Llama 4 Scout measured |
| Humanity's Last Exam (Artificial Analysis run) | 3.8% | 35.1% | MiMo-V2.6-Flash |
| GPQA Diamond (Epoch AI run) | 51.8% | Not measured | Only Llama 4 Scout measured |
| ARC-AGI | 0.5% | Not measured | Only Llama 4 Scout measured |
| ARC-AGI-2 | 0.0% | Not measured | Only Llama 4 Scout measured |
| LMArena Text: hard prompts | 1266 | 1475 | MiMo-V2.6-Flash |
| LMArena Text: expert | 1235 | 1496 | MiMo-V2.6-Flash |
| LMArena Text: hard prompts in English | 1293 | 1493 | MiMo-V2.6-Flash |
| LMArena Vision: diagrams | 1125 | 1276 | MiMo-V2.6-Flash |
| LMArena Vision: homework | 1148 | 1283 | MiMo-V2.6-Flash |
| Kagi LLM Benchmark | 36.9% | Not measured | Only Llama 4 Scout measured |
| Neither model has a result on the other 8 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Llama 4 Scout | MiMo-V2.6-Flash | Leader |
|---|---|---|---|
| AIME | 19.0% | Not measured | Only Llama 4 Scout measured |
| MATH 500 (Vals AI) | 79.2% | Not measured | Only Llama 4 Scout measured |
| MGSM (Vals AI) | 88.0% | Not measured | Only Llama 4 Scout measured |
| AA Math Index | 14.0 | Not measured | Only Llama 4 Scout measured |
| AIME 2025 (Artificial Analysis run) | 14.0% | Not measured | Only Llama 4 Scout measured |
| OTIS Mock AIME | 7.8% | Not measured | Only Llama 4 Scout measured |
| ProofBench | Not measured | 63.0% | Only MiMo-V2.6-Flash measured |
| MATH level 5 | 62.3% | Not measured | Only Llama 4 Scout measured |
| LMArena Text: math | 1287 | 1476 | MiMo-V2.6-Flash |
| LMArena Text: mathematical work | 1286 | 1478 | MiMo-V2.6-Flash |
| Neither model has a result on the other 3 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index05
| Benchmark | Llama 4 Scout | MiMo-V2.6-Flash | Leader |
|---|---|---|---|
| MMLU Pro | 69.6% | Not measured | Only Llama 4 Scout measured |
| LegalBench (Vals AI) | 72.0% | Not measured | Only Llama 4 Scout measured |
| CorpFin (Vals AI) | 46.8% | Not measured | Only Llama 4 Scout measured |
| TaxEval (Vals AI) | 55.2% | Not measured | Only Llama 4 Scout measured |
| MortgageTax (Vals AI) | 57.8% | Not measured | Only Llama 4 Scout measured |
| MedQA (Vals AI) | 50.9% | Not measured | Only Llama 4 Scout measured |
| MedCode (Vals AI) | 23.3% | 41.1% | MiMo-V2.6-Flash |
| MMLU Pro (Artificial Analysis run) | 75.2% | Not measured | Only Llama 4 Scout measured |
| LMArena Text: science | 1278 | 1462 | MiMo-V2.6-Flash |
| LMArena Text: medicine and healthcare | 1275 | 1439 | MiMo-V2.6-Flash |
| LMArena Text: legal and government | 1285 | 1441 | MiMo-V2.6-Flash |
| LMArena Text: business and finance | 1257 | 1454 | MiMo-V2.6-Flash |
| Neither model has a result on the other 6 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
| Benchmark | Llama 4 Scout | MiMo-V2.6-Flash | Leader |
|---|---|---|---|
| Design Arena: websites | 750 | Not measured | Only Llama 4 Scout measured |
| Design Arena: UI components | 765 | Not measured | Only Llama 4 Scout measured |
| Design Arena: game dev | 772 | Not measured | Only Llama 4 Scout measured |
| Design Arena: data viz | 896 | Not measured | Only Llama 4 Scout measured |
| Design Arena: all code categories | 789 | Not measured | Only Llama 4 Scout measured |
| Neither model has a result on the other 4 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index024
| Benchmark | Llama 4 Scout | 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) | 34.8% | 43.5% | MiMo-V2.6-Flash |
| MedScribe (Vals AI) | 50.6% | 85.3% | MiMo-V2.6-Flash |
| IFBench | 39.5% | Not measured | Only Llama 4 Scout measured |
| Long context reasoning (AA-LCR) | 27.7% | 74.3% | MiMo-V2.6-Flash |
| DTBench | 57.9% | Not measured | Only Llama 4 Scout measured |
| LMCA | 12.0% | Not measured | Only Llama 4 Scout measured |
| Fiction.LiveBench | 36.0% | Not measured | Only Llama 4 Scout measured |
| LMArena Text | 1279 | 1453 | MiMo-V2.6-Flash |
| LMArena Text: instruction following | 1248 | 1452 | MiMo-V2.6-Flash |
| LMArena Text: creative writing | 1249 | 1403 | MiMo-V2.6-Flash |
| LMArena Vision | 1118 | 1256 | MiMo-V2.6-Flash |
| LMArena Text: English | 1304 | 1476 | MiMo-V2.6-Flash |
| LMArena Text: non-English | 1252 | 1431 | MiMo-V2.6-Flash |
| LMArena Text: Chinese | 1255 | 1509 | MiMo-V2.6-Flash |
| LMArena Text: German | 1273 | 1458 | MiMo-V2.6-Flash |
| LMArena Text: Japanese | 1206 | 1359 | MiMo-V2.6-Flash |
| LMArena Text: Korean | 1207 | 1425 | MiMo-V2.6-Flash |
| LMArena Text: French | 1283 | 1480 | MiMo-V2.6-Flash |
| LMArena Text: Spanish | 1278 | 1453 | MiMo-V2.6-Flash |
| LMArena Text: Russian | 1263 | 1409 | MiMo-V2.6-Flash |
| LMArena Text: Polish | 1265 | 1455 | MiMo-V2.6-Flash |
| LMArena Text: multi-turn | 1280 | 1447 | MiMo-V2.6-Flash |
| LMArena Text: longer queries | 1265 | 1459 | MiMo-V2.6-Flash |
| LMArena Text: writing and language | 1269 | 1424 | MiMo-V2.6-Flash |
| LMArena Text: entertainment and media | 1242 | 1415 | MiMo-V2.6-Flash |
| LMArena Vision: English | 1143 | 1269 | MiMo-V2.6-Flash |
| LMArena Vision: Chinese | 1106 | Not measured | Only Llama 4 Scout measured |
| LMArena Vision: reading text | 1117 | 1270 | MiMo-V2.6-Flash |
| LMArena Vision: humor | 1102 | Not measured | Only Llama 4 Scout measured |
| LMArena Vision: creative writing | 1126 | 1231 | MiMo-V2.6-Flash |
| Neither model has a result on the other 14 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Llama 4 Scout | 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 | Meta Llama 4 Scout | Xiaomi MiMo-V2.6-Flash |
|---|---|---|
| Maker | Meta Llama | Xiaomi |
| Weights | Open weights | Open weights |
| Released | April 5, 2025 | September 21, 2026 |
| Context window | 1.31M | 1.05M |
| Input $/Mtok | $0.175 | $0.14 |
| Output $/Mtok | $0.50 | $0.28 |
| Coding index | Not benchmarked | 54.7 |
| Independent measurements behind it | 0 | 3 |
| Cost per solved task | $1.276 | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Llama 4 Scout better than MiMo-V2.6-Flash for coding?
Only MiMo-V2.6-Flash has a coding score, 54.7 on the Vibe Coding Index; Llama 4 Scout has none, so the two cannot be ranked on coding. Pick Llama 4 Scout for a larger context window (1.31M against 1.05M tokens).
Which is cheaper, Llama 4 Scout or MiMo-V2.6-Flash?
Llama 4 Scout costs $0.175 per million input tokens and $0.50 per million output tokens; MiMo-V2.6-Flash costs $0.14 and $0.28. Cost per solved task is known for Llama 4 Scout only.
Which has the bigger context window, Llama 4 Scout or MiMo-V2.6-Flash?
Llama 4 Scout, with 1.31M tokens against 1.05M.
How many benchmarks is the Llama 4 Scout vs MiMo-V2.6-Flash comparison based on?
41 benchmarks have a result for both models as of October 22, 2026. Llama 4 Scout's coding index rests on 0 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.