Claude Haiku 4.5 vs GLM 5V Turbo
GLM 5V Turbo leads Claude Haiku 4.5 on the Artificial Analysis Intelligence Index, 23.5 to 16.9, and GLM 5V Turbo costs 1.3x less per output token ($4.00 vs $5.00 per million). Updated October 22, 2026; 40 benchmarks have a result for both.
Claude Haiku 4.5 or GLM 5V Turbo: which to pick
Only Claude Haiku 4.5 has a coding score, 35.6 on the Vibe Coding Index; GLM 5V Turbo has none, so the two cannot be ranked on coding.
Pick GLM 5V Turbo for output tokens 1.3x cheaper ($4.00 vs $5.00 per million) and a larger context window (203K against 200K tokens).
- Shared results
- 40
- Claude Haiku 4.5 only
- 58
- GLM 5V Turbo only
- 25
- Like-for-like categories
- 7 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 Claude Haiku 4.5 has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
GLM 5V Turbo
GLM 5V Turbo leads, 23.5 against 16.9.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Claude Haiku 4.5 has a AA Agentic Index result, 8.0.
Directional only
Reasoning
GPQA Diamond
No call
Only Claude Haiku 4.5 has a GPQA Diamond result, 72.2%.
Directional only
Math
AIME
No call
Only Claude Haiku 4.5 has a AIME result, 82.7%.
Directional only
Knowledge
MMLU Pro
No call
Only Claude Haiku 4.5 has a MMLU Pro result, 78.7%.
Directional only
Web design
Design Arena: websites
GLM 5V Turbo
GLM 5V Turbo leads, 1230 against 1122.
Same board, both measured
Long documents
Listed context window
GLM 5V Turbo
GLM 5V Turbo takes 203K tokens against 200K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
GLM 5V Turbo
Claude Haiku 4.5 $0.0035, GLM 5V Turbo $0.0032 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Claude Haiku 4.5 has the number, $0.56.
Directional only
At a glance
- Coding index
- Claude Haiku 4.5 35.6 from 4 benchmarks, GLM 5V Turbo not benchmarked.
- Widest category
- Web design, 12.8 points apart on average over 8 shared benchmarks.
- Widest single gap
- Design Arena: 3D: Claude Haiku 4.5 1071 against GLM 5V Turbo 1208, 17.1 points apart on a 0 to 100 scale.
- Output price
- Claude Haiku 4.5 $5.00 against GLM 5V Turbo $4.00 per million output tokens, 1.3x apart.
- Context window
- Claude Haiku 4.5 takes 200K tokens, GLM 5V Turbo 203K.
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 | Claude Haiku 4.5 | Bars | GLM 5V Turbo | Ties |
|---|---|---|---|---|
| Coding | 0 | 5 | ||
| Intelligence | 0 | 1 | ||
| Reasoning | 0 | 3 | ||
| Math | 0 | 2 | ||
| Knowledge | 0 | 4 | ||
| Web design | 1 | 7 | ||
| General | 1 | 16 | ||
| All shared boards | 2 | 38 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index05
| Benchmark | Claude Haiku 4.5 | GLM 5V Turbo | Leader |
|---|---|---|---|
| SWE-bench Verified | 66.6% | Not measured | Only Claude Haiku 4.5 measured |
| SWE-bench Multilingual | 64.7% | Not measured | Only Claude Haiku 4.5 measured |
| LiveBench coding | 48.1% | Not measured | Only Claude Haiku 4.5 measured |
| LMArena WebDev | 1330 | 1402 | GLM 5V Turbo |
| AA Coding Index | 43.9 | Not measured | Only Claude Haiku 4.5 measured |
| LiveCodeBench (Vals AI) | 41.2% | Not measured | Only Claude Haiku 4.5 measured |
| SWE-bench Verified (Vals AI) | 66.6% | Not measured | Only Claude Haiku 4.5 measured |
| Vibe Code Bench (Vals AI) | 11.4% | Not measured | Only Claude Haiku 4.5 measured |
| Code migration (Vals AI) | 7.5% | Not measured | Only Claude Haiku 4.5 measured |
| ProgramBench (Vals AI) | 0.0% | Not measured | Only Claude Haiku 4.5 measured |
| Terminal-Bench 2.1 (Vals AI) | 43.8% | Not measured | Only Claude Haiku 4.5 measured |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 32.6% | Only GLM 5V Turbo measured |
| Terminal-Bench | 35.5% | Not measured | Only Claude Haiku 4.5 measured |
| WeirdML | 45.4% | Not measured | Only Claude Haiku 4.5 measured |
| LMArena Text: coding | 1454 | 1466 | GLM 5V Turbo |
| LMArena Text: software and IT | 1439 | 1460 | GLM 5V Turbo |
| LMArena WebDev: React | 1326 | 1386 | GLM 5V Turbo |
| LMArena WebDev: HTML | 1318 | 1356 | GLM 5V Turbo |
| LMArena WebDev: from an image | Not measured | 1425 | Only GLM 5V Turbo measured |
| Neither model has a result on the other 24 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Claude Haiku 4.5 | GLM 5V Turbo | Leader |
|---|---|---|---|
| AA Intelligence Index | 16.9 | 23.5 | GLM 5V Turbo |
| Epoch Capabilities Index | 142.2 | Not measured | Only Claude Haiku 4.5 measured |
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index22 boards, none shared
| Benchmark | Claude Haiku 4.5 | GLM 5V Turbo | Leader |
|---|---|---|---|
| AA Agentic Index | 8.0 | Not measured | Only Claude Haiku 4.5 measured |
| Design Arena: agents building web apps | Not measured | 1124 | Only GLM 5V Turbo measured |
| Design Arena: agents building full-stack apps | Not measured | 1149 | Only GLM 5V Turbo measured |
| Design Arena: agents building mobile apps | Not measured | 1134 | Only GLM 5V Turbo measured |
| Design Arena: agents building Android apps | Not measured | 1267 | Only GLM 5V Turbo measured |
| Design Arena: agents building Godot games | Not measured | 957 | Only GLM 5V Turbo measured |
| Design Arena: agents building games | Not measured | 1102 | Only GLM 5V Turbo measured |
| Design Arena: HTML slides | Not measured | 1060 | Only GLM 5V Turbo measured |
| Design Arena: PowerPoint slides | Not measured | 1126 | Only GLM 5V Turbo measured |
| LiveBench research | 42.2% | Not measured | Only Claude Haiku 4.5 measured |
| LiveBench browser | 40.0% | Not measured | Only Claude Haiku 4.5 measured |
| LiveBench long agentic | 11.1% | Not measured | Only Claude Haiku 4.5 measured |
| Finance Agent (Vals AI) | 31.0% | Not measured | Only Claude Haiku 4.5 measured |
| Tax Agent Bench (Vals AI) | 5.9% | Not measured | Only Claude Haiku 4.5 measured |
| Legal Research Bench (Vals AI) | 10.6% | Not measured | Only Claude Haiku 4.5 measured |
| Excel Modeling Benchmark (Vals AI) | 22.7% | Not measured | Only Claude Haiku 4.5 measured |
| τ²-Bench Telecom | Not measured | 98.5% | Only GLM 5V Turbo measured |
| BALROG | 31.2% | Not measured | Only Claude Haiku 4.5 measured |
| DeepResearch Bench | 45.5% | Not measured | Only Claude Haiku 4.5 measured |
| Vending-Bench 2 | $459 | Not measured | Only Claude Haiku 4.5 measured |
| Berkeley Function Calling Leaderboard (BFCL) | 68.7% | Not measured | Only Claude Haiku 4.5 measured |
| MCP Atlas | 40.2% | Not measured | Only Claude Haiku 4.5 measured |
| Neither model has a result on the other 20 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index03
| Benchmark | Claude Haiku 4.5 | GLM 5V Turbo | Leader |
|---|---|---|---|
| GPQA Diamond | 72.2% | Not measured | Only Claude Haiku 4.5 measured |
| LiveBench reasoning | 61.7% | Not measured | Only Claude Haiku 4.5 measured |
| MMMU Pro (Vals AI) | 46.1% | Not measured | Only Claude Haiku 4.5 measured |
| GPQA Diamond (Artificial Analysis run) | Not measured | 80.9% | Only GLM 5V Turbo measured |
| Humanity's Last Exam (Artificial Analysis run) | Not measured | 17.1% | Only GLM 5V Turbo measured |
| GPQA Diamond (Epoch AI run) | 71.2% | Not measured | Only Claude Haiku 4.5 measured |
| ARC-AGI | 47.7% | Not measured | Only Claude Haiku 4.5 measured |
| ARC-AGI-2 | 4.0% | Not measured | Only Claude Haiku 4.5 measured |
| Chess puzzles | 8.0% | Not measured | Only Claude Haiku 4.5 measured |
| LMArena Text: hard prompts | 1421 | 1443 | GLM 5V Turbo |
| LMArena Text: expert | 1443 | 1453 | GLM 5V Turbo |
| LMArena Text: hard prompts in English | 1435 | 1456 | GLM 5V Turbo |
| LMArena Vision: diagrams | Not measured | 1286 | Only GLM 5V Turbo measured |
| LMArena Vision: homework | Not measured | 1273 | Only GLM 5V Turbo measured |
| Neither model has a result on the other 9 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Claude Haiku 4.5 | GLM 5V Turbo | Leader |
|---|---|---|---|
| AIME | 82.7% | Not measured | Only Claude Haiku 4.5 measured |
| MGSM (Vals AI) | 92.2% | Not measured | Only Claude Haiku 4.5 measured |
| OTIS Mock AIME | 66.7% | Not measured | Only Claude Haiku 4.5 measured |
| MATH level 5 | 96.4% | Not measured | Only Claude Haiku 4.5 measured |
| LMArena Text: math | 1398 | 1442 | GLM 5V Turbo |
| LMArena Text: mathematical work | 1430 | 1447 | GLM 5V Turbo |
| Neither model has a result on the other 8 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
| Benchmark | Claude Haiku 4.5 | GLM 5V Turbo | Leader |
|---|---|---|---|
| MMLU Pro | 78.7% | Not measured | Only Claude Haiku 4.5 measured |
| LegalBench (Vals AI) | 81.2% | Not measured | Only Claude Haiku 4.5 measured |
| CaseLaw (Vals AI) | 56.5% | Not measured | Only Claude Haiku 4.5 measured |
| CorpFin (Vals AI) | 60.6% | Not measured | Only Claude Haiku 4.5 measured |
| TaxEval (Vals AI) | 67.5% | Not measured | Only Claude Haiku 4.5 measured |
| MortgageTax (Vals AI) | 62.2% | Not measured | Only Claude Haiku 4.5 measured |
| MedQA (Vals AI) | 79.6% | Not measured | Only Claude Haiku 4.5 measured |
| MedCode (Vals AI) | 32.7% | Not measured | Only Claude Haiku 4.5 measured |
| SimpleQA Verified | 13.2% | Not measured | Only Claude Haiku 4.5 measured |
| LMArena Text: science | 1406 | 1448 | GLM 5V Turbo |
| LMArena Text: medicine and healthcare | 1394 | 1433 | GLM 5V Turbo |
| LMArena Text: legal and government | 1400 | 1436 | GLM 5V Turbo |
| LMArena Text: business and finance | 1400 | 1435 | GLM 5V Turbo |
| Neither model has a result on the other 7 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index17
| Benchmark | Claude Haiku 4.5 | GLM 5V Turbo | Leader |
|---|---|---|---|
| Design Arena: websites | 1122 | 1230 | GLM 5V Turbo |
| Design Arena: UI components | 1097 | 1210 | GLM 5V Turbo |
| Design Arena: game dev | 1096 | 1218 | GLM 5V Turbo |
| Design Arena: data viz | 1124 | 1202 | GLM 5V Turbo |
| Design Arena: 3D | 1071 | 1208 | GLM 5V Turbo |
| Design Arena: all code categories | 1114 | 1227 | GLM 5V Turbo |
| Design Arena: SVG | 1025 | 1150 | GLM 5V Turbo |
| Design Arena: ASCII art | 1140 | 1116 | Claude Haiku 4.5 |
| LiveBench design | 59.9% | Not measured | Only Claude Haiku 4.5 measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index116
| Benchmark | Claude Haiku 4.5 | GLM 5V Turbo | Leader |
|---|---|---|---|
| LiveBench data analysis | 59.3% | Not measured | Only Claude Haiku 4.5 measured |
| Public Benefits Bench (Vals AI) | 54.3% | Not measured | Only Claude Haiku 4.5 measured |
| SAGE (Vals AI) | 31.8% | Not measured | Only Claude Haiku 4.5 measured |
| MedScribe (Vals AI) | 85.2% | Not measured | Only Claude Haiku 4.5 measured |
| Vals Multimodal Index | 42.9% | Not measured | Only Claude Haiku 4.5 measured |
| IFBench | Not measured | 61.1% | Only GLM 5V Turbo measured |
| Long context reasoning (AA-LCR) | Not measured | 70.3% | Only GLM 5V Turbo measured |
| DTBench | 73.6% | Not measured | Only Claude Haiku 4.5 measured |
| LMCA | 30.9% | Not measured | Only Claude Haiku 4.5 measured |
| ExploitBench | 13.7% | Not measured | Only Claude Haiku 4.5 measured |
| LMArena Text | 1397 | 1437 | GLM 5V Turbo |
| LMArena Text: instruction following | 1414 | 1423 | GLM 5V Turbo |
| LMArena Text: creative writing | 1371 | 1417 | GLM 5V Turbo |
| LMArena Vision | Not measured | 1264 | Only GLM 5V Turbo measured |
| LMArena Text: English | 1414 | 1454 | GLM 5V Turbo |
| LMArena Text: non-English | 1377 | 1420 | GLM 5V Turbo |
| LMArena Text: Chinese | 1418 | 1491 | GLM 5V Turbo |
| LMArena Text: German | 1374 | 1422 | GLM 5V Turbo |
| LMArena Text: Japanese | 1338 | Not measured | Only Claude Haiku 4.5 measured |
| LMArena Text: Korean | 1346 | 1397 | GLM 5V Turbo |
| LMArena Text: French | 1411 | 1443 | GLM 5V Turbo |
| LMArena Text: Spanish | 1421 | 1452 | GLM 5V Turbo |
| LMArena Text: Russian | 1381 | 1432 | GLM 5V Turbo |
| LMArena Text: Polish | 1343 | 1432 | GLM 5V Turbo |
| LMArena Text: multi-turn | 1409 | 1431 | GLM 5V Turbo |
| LMArena Text: longer queries | 1427 | 1438 | GLM 5V Turbo |
| LMArena Text: writing and language | 1386 | 1420 | GLM 5V Turbo |
| LMArena Text: entertainment and media | 1369 | 1407 | GLM 5V Turbo |
| LMArena Vision: English | Not measured | 1274 | Only GLM 5V Turbo measured |
| LMArena Vision: Chinese | Not measured | 1329 | Only GLM 5V Turbo measured |
| LMArena Vision: reading text | Not measured | 1270 | Only GLM 5V Turbo measured |
| LMArena Vision: humor | Not measured | 1268 | Only GLM 5V Turbo measured |
| LMArena Vision: captioning | Not measured | 1264 | Only GLM 5V Turbo measured |
| LMArena Vision: recognizing things | Not measured | 1241 | Only GLM 5V Turbo measured |
| LMArena Vision: creative writing | Not measured | 1252 | Only GLM 5V Turbo measured |
| LMArena Document | 1420 | 1416 | Claude Haiku 4.5 |
| MultiChallenge | 50.5% | Not measured | Only Claude Haiku 4.5 measured |
| EQ-Bench 4 | 1064 | Not measured | Only Claude Haiku 4.5 measured |
| Neither model has a result on the other 10 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Claude Haiku 4.5 | GLM 5V Turbo | 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
GLM 5V Turbo costs less
Repository review
50K input + 3K output tokens
Claude Haiku 4.5 costs less
Agent loop
200K input + 10K output tokens
Claude Haiku 4.5 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 | Anthropic Claude Haiku 4.5 | Z.ai GLM 5V Turbo |
|---|---|---|
| Maker | Anthropic | Z.ai |
| Weights | No public weights listed | No public weights listed |
| Released | October 15, 2025 | April 1, 2026 |
| Context window | 200K | 203K |
| Input $/Mtok | $1.00 | $1.20 |
| Output $/Mtok | $5.00 | $4.00 |
| Coding index | 35.6 | Not benchmarked |
| Independent measurements behind it | 4 | 1 |
| Cost per solved task | $0.56 | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Claude Haiku 4.5 better than GLM 5V Turbo for coding?
Only Claude Haiku 4.5 has a coding score, 35.6 on the Vibe Coding Index; GLM 5V Turbo has none, so the two cannot be ranked on coding. Pick GLM 5V Turbo for output tokens 1.3x cheaper ($4.00 vs $5.00 per million) and a larger context window (203K against 200K tokens).
Which is cheaper, Claude Haiku 4.5 or GLM 5V Turbo?
Claude Haiku 4.5 costs $1.00 per million input tokens and $5.00 per million output tokens; GLM 5V Turbo costs $1.20 and $4.00. Cost per solved task is known for Claude Haiku 4.5 only.
Which has the bigger context window, Claude Haiku 4.5 or GLM 5V Turbo?
GLM 5V Turbo, with 203K tokens against 200K.
How many benchmarks is the Claude Haiku 4.5 vs GLM 5V Turbo comparison based on?
40 benchmarks have a result for both models as of October 22, 2026. Claude Haiku 4.5's coding index rests on 4 independent benchmarks and GLM 5V Turbo's on 1. Where only one model has a result, the page says so instead of naming a winner.