Beam 1.0 501B A23B vs MiMo-V2.6-Flash
Updated October 21, 2026. 26 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 33.8 for Beam 1.0 501B A23B.
Pick Beam 1.0 501B A23B when the benchmark that matters is LMArena Text: Russian, where it leads.
- Shared results
- 26
- Beam 1.0 501B A23B only
- 2
- MiMo-V2.6-Flash only
- 40
- 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 33.8.
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
Web design
Design Arena: websites
No call
Only Beam 1.0 501B A23B has a Design Arena: websites result, 1253.
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
Beam 1.0 501B A23B $0.0008, MiMo-V2.6-Flash $0.0003 per turn.
List prices
At a glance
- Coding index
- Beam 1.0 501B A23B 33.8 from 1 benchmark, MiMo-V2.6-Flash 61.9 from 1 benchmark.
- Widest category
- Coding, 18.4 points apart on average over 5 shared benchmarks.
- Widest single gap
- LMArena WebDev: Beam 1.0 501B A23B 1437 against MiMo-V2.6-Flash 1634, 28.1 points apart on a 0 to 100 scale.
- Output price
- Beam 1.0 501B A23B $1.00 against MiMo-V2.6-Flash $0.28 per million output tokens, 3.6x apart.
- Context window
- Beam 1.0 501B A23B 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 | Beam 1.0 501B A23B | Bars | MiMo-V2.6-Flash | Ties |
|---|---|---|---|---|
| Coding | 0 | 5 | ||
| Reasoning | 0 | 3 | ||
| Math | 0 | 2 | ||
| Knowledge | 0 | 4 | ||
| General | 1 | 11 | ||
| All shared boards | 1 | 25 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index05
| Benchmark | Beam 1.0 501B A23B | MiMo-V2.6-Flash | Leader |
|---|---|---|---|
| LMArena WebDev | 1437 | 1634 | MiMo-V2.6-Flash |
| 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 |
| ALE-Bench | Not measured | 1244.2 | Only MiMo-V2.6-Flash measured |
| LMArena Text: coding | 1473 | 1499 | MiMo-V2.6-Flash |
| LMArena Text: software and IT | 1461 | 1497 | MiMo-V2.6-Flash |
| LMArena WebDev: React | 1443 | 1648 | MiMo-V2.6-Flash |
| LMArena WebDev: HTML | 1436 | 1641 | MiMo-V2.6-Flash |
| LMArena WebDev: from an image | Not measured | 1596 | Only MiMo-V2.6-Flash measured |
| Neither model has a result on the other 23 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
| Benchmark | Beam 1.0 501B A23B | 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 index9 boards, none shared
| Benchmark | Beam 1.0 501B A23B | 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 |
| Neither model has a result on the other 30 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index03
| Benchmark | Beam 1.0 501B A23B | 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 |
| LMArena Text: hard prompts | 1442 | 1475 | MiMo-V2.6-Flash |
| LMArena Text: expert | 1447 | 1496 | MiMo-V2.6-Flash |
| LMArena Text: hard prompts in English | 1451 | 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 14 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Beam 1.0 501B A23B | MiMo-V2.6-Flash | Leader |
|---|---|---|---|
| ProofBench | Not measured | 63.0% | Only MiMo-V2.6-Flash measured |
| LMArena Text: math | 1459 | 1476 | MiMo-V2.6-Flash |
| LMArena Text: mathematical work | 1475 | 1478 | MiMo-V2.6-Flash |
| Neither model has a result on the other 10 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
| Benchmark | Beam 1.0 501B A23B | MiMo-V2.6-Flash | Leader |
|---|---|---|---|
| MedCode (Vals AI) | Not measured | 41.1% | Only MiMo-V2.6-Flash measured |
| LMArena Text: science | 1430 | 1462 | MiMo-V2.6-Flash |
| LMArena Text: medicine and healthcare | 1376 | 1439 | MiMo-V2.6-Flash |
| LMArena Text: legal and government | 1433 | 1441 | MiMo-V2.6-Flash |
| LMArena Text: business and finance | 1430 | 1454 | MiMo-V2.6-Flash |
| Neither model has a result on the other 12 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
| Benchmark | Beam 1.0 501B A23B | MiMo-V2.6-Flash | Leader |
|---|---|---|---|
| Design Arena: websites | 1253 | Not measured | Only Beam 1.0 501B A23B measured |
| Design Arena: game dev | 1222 | Not measured | Only Beam 1.0 501B A23B measured |
| Neither model has a result on the other 7 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index111
| Benchmark | Beam 1.0 501B A23B | 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 |
| LMArena Text | 1425 | 1453 | MiMo-V2.6-Flash |
| LMArena Text: instruction following | 1430 | 1452 | MiMo-V2.6-Flash |
| LMArena Text: creative writing | 1390 | 1403 | MiMo-V2.6-Flash |
| LMArena Vision | Not measured | 1256 | Only MiMo-V2.6-Flash measured |
| LMArena Text: English | 1436 | 1476 | MiMo-V2.6-Flash |
| LMArena Text: non-English | 1413 | 1431 | MiMo-V2.6-Flash |
| LMArena Text: Chinese | 1424 | 1509 | MiMo-V2.6-Flash |
| 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 | 1461 | 1480 | MiMo-V2.6-Flash |
| LMArena Text: Spanish | Not measured | 1453 | Only MiMo-V2.6-Flash measured |
| LMArena Text: Russian | 1412 | 1409 | Beam 1.0 501B A23B |
| LMArena Text: Polish | Not measured | 1455 | Only MiMo-V2.6-Flash measured |
| LMArena Text: multi-turn | 1414 | 1447 | MiMo-V2.6-Flash |
| LMArena Text: longer queries | 1429 | 1459 | MiMo-V2.6-Flash |
| LMArena Text: writing and language | 1400 | 1424 | MiMo-V2.6-Flash |
| LMArena Text: entertainment and media | 1399 | 1415 | MiMo-V2.6-Flash |
| 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 | Beam 1.0 501B A23B | 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 | Reflection Beam 1.0 501B A23B | Xiaomi MiMo-V2.6-Flash |
|---|---|---|
| Maker | Reflection | Xiaomi |
| Weights | Open weights | Open weights |
| Released | October 16, 2026 | September 21, 2026 |
| Context window | 1.05M | 1.05M |
| Input $/Mtok | $0.30 | $0.14 |
| Output $/Mtok | $1.00 | $0.28 |
| Coding index | 33.8 | 61.9 |
| Independent measurements behind it | 1 | 1 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Beam 1.0 501B A23B 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 33.8 for Beam 1.0 501B A23B. Pick Beam 1.0 501B A23B when the benchmark that matters is LMArena Text: Russian, where it leads.
Which is cheaper, Beam 1.0 501B A23B or MiMo-V2.6-Flash?
Beam 1.0 501B A23B costs $0.30 per million input tokens and $1.00 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, Beam 1.0 501B A23B or MiMo-V2.6-Flash?
MiMo-V2.6-Flash, with 1.05M tokens against 1.05M.
How many benchmarks is the Beam 1.0 501B A23B vs MiMo-V2.6-Flash comparison based on?
26 benchmarks have a result for both models as of October 21, 2026. Beam 1.0 501B A23B'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.