GLM 5V Turbo vs Beam 1.0 501B A23B
Beam 1.0 501B A23B costs 3.6x less per output token than GLM 5V Turbo ($1.10 vs $4.00 per million). Updated October 22, 2026; 28 benchmarks have a result for both.
GLM 5V Turbo or Beam 1.0 501B A23B: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Pick GLM 5V Turbo for work measured by LMArena WebDev or LMArena Text: coding, where it leads.
- Shared results
- 28
- GLM 5V Turbo only
- 37
- Beam 1.0 501B A23B only
- 0
- 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
Neither has a coding score yet.
One side not measured
Intelligence
AA Intelligence Index
No call
Only GLM 5V Turbo has a AA Intelligence Index result, 23.5.
Directional only
Web design
Design Arena: websites
Beam 1.0 501B A23B
Beam 1.0 501B A23B leads, 1250 against 1230.
Same board, both measured
Long documents
Listed context window
Beam 1.0 501B A23B
Beam 1.0 501B A23B takes 1.05M tokens against 203K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Beam 1.0 501B A23B
GLM 5V Turbo $0.0032, Beam 1.0 501B A23B $0.0009 per turn.
List prices
At a glance
- Coding index
- GLM 5V Turbo not benchmarked, Beam 1.0 501B A23B not benchmarked.
- Widest category
- Coding, 5.8 points apart on average over 5 shared benchmarks.
- Widest single gap
- LMArena WebDev: HTML: GLM 5V Turbo 1356 against Beam 1.0 501B A23B 1436, 13.3 points apart on a 0 to 100 scale.
- Output price
- GLM 5V Turbo $4.00 against Beam 1.0 501B A23B $1.10 per million output tokens, 3.6x apart.
- Context window
- GLM 5V Turbo takes 203K tokens, Beam 1.0 501B A23B 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 | GLM 5V Turbo | Bars | Beam 1.0 501B A23B | Ties |
|---|---|---|---|---|
| Coding | 0 | 5 | ||
| Reasoning | 3 | 0 | ||
| Math | 0 | 2 | ||
| Knowledge | 4 | 0 | ||
| Web design | 0 | 2 | ||
| General | 10 | 2 | ||
| All shared boards | 17 | 11 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index05
| Benchmark | GLM 5V Turbo | Beam 1.0 501B A23B | Leader |
|---|---|---|---|
| LMArena WebDev | 1402 | 1437 | Beam 1.0 501B A23B |
| Terminal-Bench Hard (Artificial Analysis run) | 32.6% | Not measured | Only GLM 5V Turbo measured |
| LMArena Text: coding | 1466 | 1473 | Beam 1.0 501B A23B |
| LMArena Text: software and IT | 1460 | 1461 | Beam 1.0 501B A23B |
| LMArena WebDev: React | 1386 | 1443 | Beam 1.0 501B A23B |
| LMArena WebDev: HTML | 1356 | 1436 | Beam 1.0 501B A23B |
| LMArena WebDev: from an image | 1425 | Not measured | Only GLM 5V Turbo measured |
| Neither model has a result on the other 32 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
| Benchmark | GLM 5V Turbo | Beam 1.0 501B A23B | Leader |
|---|---|---|---|
| AA Intelligence Index | 23.5 | Not measured | Only GLM 5V Turbo 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 | GLM 5V Turbo | Beam 1.0 501B A23B | Leader |
|---|---|---|---|
| Design Arena: agents building web apps | 1124 | Not measured | Only GLM 5V Turbo measured |
| Design Arena: agents building full-stack apps | 1149 | Not measured | Only GLM 5V Turbo measured |
| Design Arena: agents building mobile apps | 1134 | Not measured | Only GLM 5V Turbo measured |
| Design Arena: agents building Android apps | 1267 | Not measured | Only GLM 5V Turbo measured |
| Design Arena: agents building Godot games | 957 | Not measured | Only GLM 5V Turbo measured |
| Design Arena: agents building games | 1102 | Not measured | Only GLM 5V Turbo measured |
| Design Arena: HTML slides | 1070 | Not measured | Only GLM 5V Turbo measured |
| Design Arena: PowerPoint slides | 1127 | Not measured | Only GLM 5V Turbo measured |
| τ²-Bench Telecom | 98.5% | Not measured | Only GLM 5V Turbo measured |
| Neither model has a result on the other 32 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index30
| Benchmark | GLM 5V Turbo | Beam 1.0 501B A23B | Leader |
|---|---|---|---|
| GPQA Diamond (Artificial Analysis run) | 80.9% | Not measured | Only GLM 5V Turbo measured |
| Humanity's Last Exam (Artificial Analysis run) | 17.1% | Not measured | Only GLM 5V Turbo measured |
| LMArena Text: hard prompts | 1443 | 1442 | GLM 5V Turbo |
| LMArena Text: expert | 1453 | 1447 | GLM 5V Turbo |
| LMArena Text: hard prompts in English | 1456 | 1451 | GLM 5V Turbo |
| LMArena Vision: diagrams | 1286 | Not measured | Only GLM 5V Turbo measured |
| LMArena Vision: homework | 1273 | Not measured | Only GLM 5V Turbo measured |
| Neither model has a result on the other 15 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | GLM 5V Turbo | Beam 1.0 501B A23B | Leader |
|---|---|---|---|
| LMArena Text: math | 1442 | 1459 | Beam 1.0 501B A23B |
| LMArena Text: mathematical work | 1447 | 1475 | Beam 1.0 501B A23B |
| Neither model has a result on the other 11 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | GLM 5V Turbo | Beam 1.0 501B A23B | Leader |
|---|---|---|---|
| LMArena Text: science | 1448 | 1430 | GLM 5V Turbo |
| LMArena Text: medicine and healthcare | 1433 | 1376 | GLM 5V Turbo |
| LMArena Text: legal and government | 1436 | 1433 | GLM 5V Turbo |
| LMArena Text: business and finance | 1435 | 1430 | GLM 5V Turbo |
| Neither model has a result on the other 14 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | GLM 5V Turbo | Beam 1.0 501B A23B | Leader |
|---|---|---|---|
| Design Arena: websites | 1230 | 1250 | Beam 1.0 501B A23B |
| Design Arena: UI components | 1210 | Not measured | Only GLM 5V Turbo measured |
| Design Arena: game dev | 1218 | 1224 | Beam 1.0 501B A23B |
| Design Arena: data viz | 1202 | Not measured | Only GLM 5V Turbo measured |
| Design Arena: 3D | 1208 | Not measured | Only GLM 5V Turbo measured |
| Design Arena: all code categories | 1228 | Not measured | Only GLM 5V Turbo measured |
| Design Arena: SVG | 1151 | Not measured | Only GLM 5V Turbo measured |
| Design Arena: ASCII art | 1117 | Not measured | Only GLM 5V Turbo measured |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index102
| Benchmark | GLM 5V Turbo | Beam 1.0 501B A23B | Leader |
|---|---|---|---|
| IFBench | 61.1% | Not measured | Only GLM 5V Turbo measured |
| Long context reasoning (AA-LCR) | 70.3% | Not measured | Only GLM 5V Turbo measured |
| LMArena Text | 1437 | 1425 | GLM 5V Turbo |
| LMArena Text: instruction following | 1423 | 1430 | Beam 1.0 501B A23B |
| LMArena Text: creative writing | 1417 | 1390 | GLM 5V Turbo |
| LMArena Vision | 1264 | Not measured | Only GLM 5V Turbo measured |
| LMArena Text: English | 1454 | 1436 | GLM 5V Turbo |
| LMArena Text: non-English | 1420 | 1413 | GLM 5V Turbo |
| LMArena Text: Chinese | 1491 | 1424 | GLM 5V Turbo |
| LMArena Text: German | 1422 | Not measured | Only GLM 5V Turbo measured |
| LMArena Text: Korean | 1397 | Not measured | Only GLM 5V Turbo measured |
| LMArena Text: French | 1443 | 1461 | Beam 1.0 501B A23B |
| LMArena Text: Spanish | 1452 | Not measured | Only GLM 5V Turbo measured |
| LMArena Text: Russian | 1432 | 1412 | GLM 5V Turbo |
| LMArena Text: Polish | 1432 | Not measured | Only GLM 5V Turbo measured |
| LMArena Text: multi-turn | 1431 | 1414 | GLM 5V Turbo |
| LMArena Text: longer queries | 1438 | 1429 | GLM 5V Turbo |
| LMArena Text: writing and language | 1420 | 1400 | GLM 5V Turbo |
| LMArena Text: entertainment and media | 1407 | 1399 | GLM 5V Turbo |
| LMArena Vision: English | 1274 | Not measured | Only GLM 5V Turbo measured |
| LMArena Vision: Chinese | 1329 | Not measured | Only GLM 5V Turbo measured |
| LMArena Vision: reading text | 1270 | Not measured | Only GLM 5V Turbo measured |
| LMArena Vision: humor | 1268 | Not measured | Only GLM 5V Turbo measured |
| LMArena Vision: captioning | 1264 | Not measured | Only GLM 5V Turbo measured |
| LMArena Vision: recognizing things | 1241 | Not measured | Only GLM 5V Turbo measured |
| LMArena Vision: creative writing | 1252 | Not measured | Only GLM 5V Turbo measured |
| LMArena Document | 1416 | Not measured | Only GLM 5V Turbo measured |
| Neither model has a result on the other 19 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | GLM 5V Turbo | Beam 1.0 501B A23B | 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
Beam 1.0 501B A23B costs less
Repository review
50K input + 3K output tokens
Beam 1.0 501B A23B costs less
Agent loop
200K input + 10K output tokens
Beam 1.0 501B A23B 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 | Z.ai GLM 5V Turbo | Reflection Beam 1.0 501B A23B |
|---|---|---|
| Maker | Z.ai | Reflection |
| Weights | No public weights listed | Open weights |
| Released | April 1, 2026 | October 16, 2026 |
| Context window | 203K | 1.05M |
| Input $/Mtok | $1.20 | $0.35 |
| Output $/Mtok | $4.00 | $1.10 |
| Coding index | Not benchmarked | Not benchmarked |
| Independent measurements behind it | 1 | 1 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is GLM 5V Turbo better than Beam 1.0 501B A23B for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick GLM 5V Turbo for work measured by LMArena WebDev or LMArena Text: coding, where it leads.
Which is cheaper, GLM 5V Turbo or Beam 1.0 501B A23B?
GLM 5V Turbo costs $1.20 per million input tokens and $4.00 per million output tokens; Beam 1.0 501B A23B costs $0.35 and $1.10. Cost per solved task is known for neither of them.
Which has the bigger context window, GLM 5V Turbo or Beam 1.0 501B A23B?
Beam 1.0 501B A23B, with 1.05M tokens against 203K.
How many benchmarks is the GLM 5V Turbo vs Beam 1.0 501B A23B comparison based on?
28 benchmarks have a result for both models as of October 22, 2026. GLM 5V Turbo's coding index rests on 1 independent benchmark and Beam 1.0 501B A23B's on 1. Where only one model has a result, the page says so instead of naming a winner.