Beam 1.0 501B A23B vs MiMo-V2.5
MiMo-V2.5 costs 3.3x less per output token than Beam 1.0 501B A23B ($0.336 vs $1.10 per million). Updated October 22, 2026; 28 benchmarks have a result for both.
Beam 1.0 501B A23B or MiMo-V2.5: which to pick
Only MiMo-V2.5 has a coding score, 50.0 on the Vibe Coding Index; Beam 1.0 501B A23B has none, so the two cannot be ranked on coding.
Pick Beam 1.0 501B A23B for work measured by LMArena Text: coding or LMArena WebDev: React, where it leads.
- Shared results
- 28
- Beam 1.0 501B A23B only
- 0
- MiMo-V2.5 only
- 52
- 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-V2.5 has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
No call
Only MiMo-V2.5 has a AA Intelligence Index result, 21.8.
Directional only
Agentic work
AA Agentic Index
No call
Only MiMo-V2.5 has a AA Agentic Index result, 15.8.
Directional only
Reasoning
GPQA Diamond
No call
Only MiMo-V2.5 has a GPQA Diamond result, 81.6%.
Directional only
Knowledge
MMLU Pro
No call
Only MiMo-V2.5 has a MMLU Pro result, 82.9%.
Directional only
Web design
Design Arena: websites
MiMo-V2.5
MiMo-V2.5 leads, 1265 against 1250.
Same board, both measured
Long documents
Listed context window
MiMo-V2.5
MiMo-V2.5 takes 1.05M tokens against 1.05M.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
MiMo-V2.5
Beam 1.0 501B A23B $0.0009, MiMo-V2.5 $0.0003 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only MiMo-V2.5 has the number, $0.01.
Directional only
At a glance
- Coding index
- Beam 1.0 501B A23B not benchmarked, MiMo-V2.5 50.0 from 3 benchmarks.
- Widest category
- Math, 3.9 points apart on average over 2 shared benchmarks.
- Widest single gap
- LMArena Text: medicine and healthcare: Beam 1.0 501B A23B 1376 against MiMo-V2.5 1432, 9.3 points apart on a 0 to 100 scale.
- Output price
- Beam 1.0 501B A23B $1.10 against MiMo-V2.5 $0.336 per million output tokens, 3.3x apart.
- Context window
- Beam 1.0 501B A23B takes 1.05M tokens, MiMo-V2.5 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-V2.5 | Ties |
|---|---|---|---|---|
| Coding | 3 | 2 | ||
| Reasoning | 0 | 3 | ||
| Math | 2 | 0 | ||
| Knowledge | 1 | 3 | ||
| Web design | 0 | 2 | ||
| General | 4 | 8 | ||
| All shared boards | 10 | 18 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index32
| Benchmark | Beam 1.0 501B A23B | MiMo-V2.5 | Leader |
|---|---|---|---|
| LMArena WebDev | 1437 | 1438 | MiMo-V2.5 |
| AA Coding Index | Not measured | 56.8 | Only MiMo-V2.5 measured |
| LiveCodeBench (Vals AI) | Not measured | 81.5% | Only MiMo-V2.5 measured |
| SWE-bench Verified (Vals AI) | Not measured | 71.0% | Only MiMo-V2.5 measured |
| Vibe Code Bench (Vals AI) | Not measured | 42.2% | Only MiMo-V2.5 measured |
| Code migration (Vals AI) | Not measured | 14.2% | Only MiMo-V2.5 measured |
| Terminal-Bench 2.1 (Vals AI) | Not measured | 60.7% | Only MiMo-V2.5 measured |
| SciCode | Not measured | 43.9% | Only MiMo-V2.5 measured |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 41.7% | Only MiMo-V2.5 measured |
| ALE-Bench | Not measured | 514.0 | Only MiMo-V2.5 measured |
| LMArena Text: coding | 1473 | 1469 | Beam 1.0 501B A23B |
| LMArena Text: software and IT | 1461 | 1463 | MiMo-V2.5 |
| LMArena WebDev: React | 1443 | 1425 | Beam 1.0 501B A23B |
| LMArena WebDev: HTML | 1436 | 1429 | Beam 1.0 501B A23B |
| Neither model has a result on the other 25 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
| Benchmark | Beam 1.0 501B A23B | MiMo-V2.5 | Leader |
|---|---|---|---|
| AA Intelligence Index | Not measured | 21.8 | Only MiMo-V2.5 measured |
| Neither model has a result on the other 1 board here | |||
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
| Benchmark | Beam 1.0 501B A23B | MiMo-V2.5 | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 15.8 | Only MiMo-V2.5 measured |
| Finance Agent (Vals AI) | Not measured | 36.7% | Only MiMo-V2.5 measured |
| Tax Agent Bench (Vals AI) | Not measured | 7.8% | Only MiMo-V2.5 measured |
| Legal Research Bench (Vals AI) | Not measured | 9.1% | Only MiMo-V2.5 measured |
| Excel Modeling Benchmark (Vals AI) | Not measured | 55.1% | Only MiMo-V2.5 measured |
| τ²-Bench Telecom | Not measured | 90.6% | Only MiMo-V2.5 measured |
| Neither model has a result on the other 35 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index03
| Benchmark | Beam 1.0 501B A23B | MiMo-V2.5 | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 81.6% | Only MiMo-V2.5 measured |
| MMMU Pro (Vals AI) | Not measured | 80.0% | Only MiMo-V2.5 measured |
| GPQA Diamond (Artificial Analysis run) | Not measured | 84.9% | Only MiMo-V2.5 measured |
| Humanity's Last Exam (Artificial Analysis run) | Not measured | 27.2% | Only MiMo-V2.5 measured |
| LMArena Text: hard prompts | 1442 | 1450 | MiMo-V2.5 |
| LMArena Text: expert | 1447 | 1459 | MiMo-V2.5 |
| LMArena Text: hard prompts in English | 1451 | 1461 | MiMo-V2.5 |
| LMArena Vision: diagrams | Not measured | 1269 | Only MiMo-V2.5 measured |
| LMArena Vision: homework | Not measured | 1262 | Only MiMo-V2.5 measured |
| Neither model has a result on the other 13 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Beam 1.0 501B A23B | MiMo-V2.5 | Leader |
|---|---|---|---|
| ProofBench | Not measured | 16.0% | Only MiMo-V2.5 measured |
| LMArena Text: math | 1459 | 1436 | Beam 1.0 501B A23B |
| LMArena Text: mathematical work | 1475 | 1451 | Beam 1.0 501B A23B |
| Neither model has a result on the other 10 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index13
| Benchmark | Beam 1.0 501B A23B | MiMo-V2.5 | Leader |
|---|---|---|---|
| MMLU Pro | Not measured | 82.9% | Only MiMo-V2.5 measured |
| LegalBench (Vals AI) | Not measured | 78.9% | Only MiMo-V2.5 measured |
| CorpFin (Vals AI) | Not measured | 59.9% | Only MiMo-V2.5 measured |
| TaxEval (Vals AI) | Not measured | 71.8% | Only MiMo-V2.5 measured |
| MortgageTax (Vals AI) | Not measured | 59.3% | Only MiMo-V2.5 measured |
| MedCode (Vals AI) | Not measured | 31.9% | Only MiMo-V2.5 measured |
| LMArena Text: science | 1430 | 1440 | MiMo-V2.5 |
| LMArena Text: medicine and healthcare | 1376 | 1432 | MiMo-V2.5 |
| LMArena Text: legal and government | 1433 | 1425 | Beam 1.0 501B A23B |
| LMArena Text: business and finance | 1430 | 1432 | MiMo-V2.5 |
| Neither model has a result on the other 8 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Beam 1.0 501B A23B | MiMo-V2.5 | Leader |
|---|---|---|---|
| Design Arena: websites | 1250 | 1265 | MiMo-V2.5 |
| Design Arena: UI components | Not measured | 1255 | Only MiMo-V2.5 measured |
| Design Arena: game dev | 1224 | 1249 | MiMo-V2.5 |
| Design Arena: data viz | Not measured | 1250 | Only MiMo-V2.5 measured |
| Design Arena: 3D | Not measured | 1215 | Only MiMo-V2.5 measured |
| Design Arena: all code categories | Not measured | 1260 | Only MiMo-V2.5 measured |
| Design Arena: SVG | Not measured | 1179 | Only MiMo-V2.5 measured |
| Design Arena: ASCII art | Not measured | 1140 | Only MiMo-V2.5 measured |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index48
| Benchmark | Beam 1.0 501B A23B | MiMo-V2.5 | Leader |
|---|---|---|---|
| SAGE (Vals AI) | Not measured | 43.3% | Only MiMo-V2.5 measured |
| MedScribe (Vals AI) | Not measured | 72.2% | Only MiMo-V2.5 measured |
| Vals Multimodal Index | Not measured | 52.8% | Only MiMo-V2.5 measured |
| IFBench | Not measured | 67.1% | Only MiMo-V2.5 measured |
| Long context reasoning (AA-LCR) | Not measured | 73.0% | Only MiMo-V2.5 measured |
| LMArena Text | 1425 | 1428 | MiMo-V2.5 |
| LMArena Text: instruction following | 1430 | 1435 | MiMo-V2.5 |
| LMArena Text: creative writing | 1390 | 1393 | MiMo-V2.5 |
| LMArena Vision | Not measured | 1247 | Only MiMo-V2.5 measured |
| LMArena Text: English | 1436 | 1447 | MiMo-V2.5 |
| LMArena Text: non-English | 1413 | 1405 | Beam 1.0 501B A23B |
| LMArena Text: Chinese | 1424 | 1469 | MiMo-V2.5 |
| LMArena Text: German | Not measured | 1421 | Only MiMo-V2.5 measured |
| LMArena Text: Japanese | Not measured | 1306 | Only MiMo-V2.5 measured |
| LMArena Text: Korean | Not measured | 1361 | Only MiMo-V2.5 measured |
| LMArena Text: French | 1461 | 1448 | Beam 1.0 501B A23B |
| LMArena Text: Spanish | Not measured | 1414 | Only MiMo-V2.5 measured |
| LMArena Text: Russian | 1412 | 1396 | Beam 1.0 501B A23B |
| LMArena Text: Polish | Not measured | 1413 | Only MiMo-V2.5 measured |
| LMArena Text: multi-turn | 1414 | 1445 | MiMo-V2.5 |
| LMArena Text: longer queries | 1429 | 1445 | MiMo-V2.5 |
| LMArena Text: writing and language | 1400 | 1409 | MiMo-V2.5 |
| LMArena Text: entertainment and media | 1399 | 1399 | Beam 1.0 501B A23B |
| LMArena Vision: English | Not measured | 1259 | Only MiMo-V2.5 measured |
| LMArena Vision: Chinese | Not measured | 1326 | Only MiMo-V2.5 measured |
| LMArena Vision: reading text | Not measured | 1256 | Only MiMo-V2.5 measured |
| LMArena Vision: humor | Not measured | 1226 | Only MiMo-V2.5 measured |
| LMArena Vision: recognizing things | Not measured | 1189 | Only MiMo-V2.5 measured |
| LMArena Vision: creative writing | Not measured | 1230 | Only MiMo-V2.5 measured |
| Neither model has a result on the other 17 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Beam 1.0 501B A23B | MiMo-V2.5 | 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 costs less
Repository review
50K input + 3K output tokens
MiMo-V2.5 costs less
Agent loop
200K input + 10K output tokens
MiMo-V2.5 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-V2.5 |
|---|---|---|
| Maker | Reflection | Xiaomi |
| Weights | Open weights | Open weights |
| Released | October 16, 2026 | April 22, 2026 |
| Context window | 1.05M | 1.05M |
| Input $/Mtok | $0.35 | $0.168 |
| Output $/Mtok | $1.10 | $0.336 |
| Coding index | Not benchmarked | 50.0 |
| Independent measurements behind it | 1 | 3 |
| Cost per solved task | Not computable | $0.01 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Beam 1.0 501B A23B better than MiMo-V2.5 for coding?
Only MiMo-V2.5 has a coding score, 50.0 on the Vibe Coding Index; Beam 1.0 501B A23B has none, so the two cannot be ranked on coding. Pick Beam 1.0 501B A23B for work measured by LMArena Text: coding or LMArena WebDev: React, where it leads.
Which is cheaper, Beam 1.0 501B A23B or MiMo-V2.5?
Beam 1.0 501B A23B costs $0.35 per million input tokens and $1.10 per million output tokens; MiMo-V2.5 costs $0.168 and $0.336. Cost per solved task is known for MiMo-V2.5 only.
Which has the bigger context window, Beam 1.0 501B A23B or MiMo-V2.5?
MiMo-V2.5, with 1.05M tokens against 1.05M.
How many benchmarks is the Beam 1.0 501B A23B vs MiMo-V2.5 comparison based on?
28 benchmarks have a result for both models as of October 22, 2026. Beam 1.0 501B A23B's coding index rests on 1 independent benchmark and MiMo-V2.5's on 3. Where only one model has a result, the page says so instead of naming a winner.