Claude Haiku 5.5 vs GLM 5.3 Flash
Claude Haiku 5.5 leads GLM 5.3 Flash on coding, 70.7 to 57.7 on the Vibe Coding Index, at about the same output price ($0.50 vs $0.50 per million). Updated October 22, 2026; 49 benchmarks have a result for both.
Claude Haiku 5.5 or GLM 5.3 Flash: which to pick
Pick Claude Haiku 5.5 for coding: it scores 70.7 on the Vibe Coding Index against 57.7 for GLM 5.3 Flash, though on 5 benchmarks against 6.
Pick GLM 5.3 Flash for a larger context window (1.05M against 1M tokens) and work measured by LMArena WebDev or Terminal-Bench 4 (Vals AI), where it leads.
- Shared results
- 49
- Claude Haiku 5.5 only
- 14
- GLM 5.3 Flash only
- 53
- 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
Claude Haiku 5.5
Claude Haiku 5.5 scores 70.7 against 57.7.
5 and 6 benchmarks behind the scores
Intelligence
AA Intelligence Index
Claude Haiku 5.5
Claude Haiku 5.5 leads, 43.4 against 41.8.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only GLM 5.3 Flash has a AA Agentic Index result, 50.9.
Directional only
Reasoning
GPQA Diamond
No call
Only GLM 5.3 Flash has a GPQA Diamond result, 86.4%.
Directional only
Knowledge
MMLU Pro
No call
Only GLM 5.3 Flash has a MMLU Pro result, 86.1%.
Directional only
Web design
Design Arena: websites
GLM 5.3 Flash
GLM 5.3 Flash leads, 1272 against 1262.
Same board, both measured
General
Vals Index
Claude Haiku 5.5
Claude Haiku 5.5 leads, 58.7% against 50.9%.
Same board, both measured
Long documents
Listed context window
GLM 5.3 Flash
GLM 5.3 Flash takes 1.05M tokens against 1M.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Claude Haiku 5.5
Claude Haiku 5.5 $0.0003, GLM 5.3 Flash $0.0004 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only GLM 5.3 Flash has the number, $0.02.
Directional only
At a glance
- Coding index
- Claude Haiku 5.5 70.7 from 5 benchmarks, GLM 5.3 Flash 57.7 from 6 benchmarks.
- Widest category
- Math, 30.4 points apart on average over 4 shared benchmarks.
- Widest single gap
- ProofBench: Claude Haiku 5.5 89.0% against GLM 5.3 Flash 21.0%, 68.0 points apart on a 0 to 100 scale.
- Output price
- Both cost $0.50 per million output tokens.
- Context window
- Claude Haiku 5.5 takes 1M tokens, GLM 5.3 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 | Claude Haiku 5.5 | Bars | GLM 5.3 Flash | Ties |
|---|---|---|---|---|
| Coding | 9 | 5 | ||
| Intelligence | 2 | 0 | ||
| Agentic work | 7 | 4 | ||
| Reasoning | 4 | 3 | ||
| Math | 4 | 0 | ||
| Web design | 4 | 3 | ||
| General | 3 | 1 | ||
| All shared boards | 33 | 16 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index95
| Benchmark | Claude Haiku 5.5 | GLM 5.3 Flash | Leader |
|---|---|---|---|
| LiveBench coding | 91.4% | 80.6% | Claude Haiku 5.5 |
| LMArena WebDev | 1586 | 1607 | GLM 5.3 Flash |
| AA Coding Index | Not measured | 71.5 | Only GLM 5.3 Flash measured |
| LiveCodeBench (Vals AI) | Not measured | 80.5% | Only GLM 5.3 Flash measured |
| SWE-bench Verified (Vals AI) | Not measured | 92.0% | Only GLM 5.3 Flash measured |
| Terminal-Bench 4 (Vals AI) | 36.4% | 37.4% | GLM 5.3 Flash |
| Vibe Code Bench (Vals AI) | 90.4% | 30.8% | Claude Haiku 5.5 |
| Code migration (Vals AI) | 44.6% | 20.5% | Claude Haiku 5.5 |
| ProgramBench (Vals AI) | 2.5% | 0.0% | Claude Haiku 5.5 |
| IOI (Vals AI) | 47.3% | 52.5% | GLM 5.3 Flash |
| Terminal-Bench 2.1 (Vals AI) | Not measured | 62.9% | Only GLM 5.3 Flash measured |
| SWE-bench Multimodal (Vals AI) | 44.0% | Not measured | Only Claude Haiku 5.5 measured |
| Vibe Code Bench 1-100 (Vals AI) | 20.4% | 16.0% | Claude Haiku 5.5 |
| SkillsBench (Vals AI) | Not measured | 40.2% | Only GLM 5.3 Flash measured |
| CyberBench (Vals AI) | 75.5% | 67.9% | Claude Haiku 5.5 |
| SciCode | 55.0% | 51.6% | Claude Haiku 5.5 |
| FrontierCode | 46.4% | 31.8% | Claude Haiku 5.5 |
| FrontierSWE | 43.8% | 18.1% | Claude Haiku 5.5 |
| ALE-Bench | Not measured | 303.6 | Only GLM 5.3 Flash measured |
| LMArena Text: coding | Not measured | 1507 | Only GLM 5.3 Flash measured |
| LMArena Text: software and IT | Not measured | 1500 | Only GLM 5.3 Flash measured |
| LMArena WebDev: React | 1605 | 1624 | GLM 5.3 Flash |
| LMArena WebDev: HTML | 1569 | 1577 | GLM 5.3 Flash |
| LMArena WebDev: from an image | Not measured | 1578 | Only GLM 5.3 Flash measured |
| SciCode | 9.2% | Not measured | Only Claude Haiku 5.5 measured |
| Neither model has a result on the other 14 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Claude Haiku 5.5 | GLM 5.3 Flash | Leader |
|---|---|---|---|
| AA Intelligence Index | 43.4 | 41.8 | Claude Haiku 5.5 |
| Epoch Capabilities Index | 159.3 | 153.1 | Claude Haiku 5.5 |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index74
| Benchmark | Claude Haiku 5.5 | GLM 5.3 Flash | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 50.9 | Only GLM 5.3 Flash measured |
| LiveBench research | 81.9% | 70.1% | Claude Haiku 5.5 |
| LiveBench browser | 80.0% | 84.0% | GLM 5.3 Flash |
| LiveBench long agentic | 57.6% | 28.4% | Claude Haiku 5.5 |
| SREBench (Vals AI) | 5.7% | 0.8% | Claude Haiku 5.5 |
| Finance Agent (Vals AI) | 54.1% | 57.9% | GLM 5.3 Flash |
| Tax Agent Bench (Vals AI) | 31.9% | 31.6% | Claude Haiku 5.5 |
| Legal Research Bench (Vals AI) | 43.3% | 45.2% | GLM 5.3 Flash |
| Harvey's Legal Agent Benchmark (Vals AI) | 4.2% | 10.4% | GLM 5.3 Flash |
| Excel Modeling Benchmark (Vals AI) | 59.0% | 55.9% | Claude Haiku 5.5 |
| BioMysteryBench (Vals AI) | 70.4% | Not measured | Only Claude Haiku 5.5 measured |
| Terminal-Bench-Science (Vals AI) | 10.0% | 2.9% | Claude Haiku 5.5 |
| Vals Science Index | 38.5% | Not measured | Only Claude Haiku 5.5 measured |
| APEX-Agents | 56.1% | 52.8% | Claude Haiku 5.5 |
| Vending-Bench 2 | $3,602 | Not measured | Only Claude Haiku 5.5 measured |
| Neither model has a result on the other 26 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index43
| Benchmark | Claude Haiku 5.5 | GLM 5.3 Flash | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 86.4% | Only GLM 5.3 Flash measured |
| LiveBench reasoning | 82.4% | 77.6% | Claude Haiku 5.5 |
| MysteryMechanism (Vals AI) | 35.1% | Not measured | Only Claude Haiku 5.5 measured |
| MMMU Pro (Vals AI) | Not measured | 86.0% | Only GLM 5.3 Flash measured |
| GPQA Diamond (Artificial Analysis run) | Not measured | 91.2% | Only GLM 5.3 Flash measured |
| Humanity's Last Exam (Artificial Analysis run) | 44.4% | 39.9% | Claude Haiku 5.5 |
| GPQA Diamond (Epoch AI run) | 89.6% | 90.2% | GLM 5.3 Flash |
| ARC-AGI | 89.0% | 91.0% | GLM 5.3 Flash |
| ARC-AGI-2 | 61.3% | 65.8% | GLM 5.3 Flash |
| Chess puzzles | 55.0% | 21.0% | Claude Haiku 5.5 |
| Mystery game puzzles | 30.0% | 8.0% | Claude Haiku 5.5 |
| EBR-bench | 43.8% | Not measured | Only Claude Haiku 5.5 measured |
| LMArena Text: hard prompts | Not measured | 1490 | Only GLM 5.3 Flash measured |
| LMArena Text: expert | Not measured | 1511 | Only GLM 5.3 Flash measured |
| LMArena Text: hard prompts in English | Not measured | 1488 | Only GLM 5.3 Flash measured |
| LMArena Vision: diagrams | Not measured | 1317 | Only GLM 5.3 Flash measured |
| LMArena Vision: homework | Not measured | 1318 | Only GLM 5.3 Flash measured |
| Neither model has a result on the other 5 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | Claude Haiku 5.5 | GLM 5.3 Flash | Leader |
|---|---|---|---|
| OTIS Mock AIME | 98.9% | 93.9% | Claude Haiku 5.5 |
| FrontierMath, tiers 1 to 3 | 75.1% | 55.8% | Claude Haiku 5.5 |
| FrontierMath, tier 4 | 46.3% | 17.1% | Claude Haiku 5.5 |
| ProofBench | 89.0% | 21.0% | Claude Haiku 5.5 |
| LMArena Text: math | Not measured | 1503 | Only GLM 5.3 Flash measured |
| LMArena Text: mathematical work | Not measured | 1497 | Only GLM 5.3 Flash measured |
| Neither model has a result on the other 7 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
| Benchmark | Claude Haiku 5.5 | GLM 5.3 Flash | Leader |
|---|---|---|---|
| MMLU Pro | Not measured | 86.1% | Only GLM 5.3 Flash measured |
| LegalBench (Vals AI) | Not measured | 83.9% | Only GLM 5.3 Flash measured |
| TaxEval (Vals AI) | Not measured | 75.6% | Only GLM 5.3 Flash measured |
| MedCode (Vals AI) | 51.5% | Not measured | Only Claude Haiku 5.5 measured |
| SimpleQA Verified | 23.8% | Not measured | Only Claude Haiku 5.5 measured |
| LMArena Text: science | Not measured | 1484 | Only GLM 5.3 Flash measured |
| LMArena Text: medicine and healthcare | Not measured | 1475 | Only GLM 5.3 Flash measured |
| LMArena Text: legal and government | Not measured | 1473 | Only GLM 5.3 Flash measured |
| LMArena Text: business and finance | Not measured | 1460 | Only GLM 5.3 Flash measured |
| Neither model has a result on the other 9 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index43
| Benchmark | Claude Haiku 5.5 | GLM 5.3 Flash | Leader |
|---|---|---|---|
| Design Arena: websites | 1262 | 1272 | GLM 5.3 Flash |
| Design Arena: UI components | 1291 | 1316 | GLM 5.3 Flash |
| Design Arena: game dev | 1313 | 1278 | Claude Haiku 5.5 |
| Design Arena: data viz | 1294 | 1262 | Claude Haiku 5.5 |
| Design Arena: 3D | 1342 | 1316 | Claude Haiku 5.5 |
| Design Arena: all code categories | 1278 | 1282 | GLM 5.3 Flash |
| Design Arena: SVG | Not measured | 1285 | Only GLM 5.3 Flash measured |
| Design Arena: ASCII art | Not measured | 1267 | Only GLM 5.3 Flash measured |
| LiveBench design | 83.1% | 77.2% | Claude Haiku 5.5 |
GeneralLike-for-likePublic boards, shown as published, kept out of the index31
| Benchmark | Claude Haiku 5.5 | GLM 5.3 Flash | Leader |
|---|---|---|---|
| Vals Index | 58.7% | 50.9% | Claude Haiku 5.5 |
| LiveBench data analysis | 53.1% | 76.4% | GLM 5.3 Flash |
| Public Benefits Bench (Vals AI) | 63.2% | Not measured | Only Claude Haiku 5.5 measured |
| SAGE (Vals AI) | 45.8% | Not measured | Only Claude Haiku 5.5 measured |
| MedScribe (Vals AI) | 89.5% | 88.9% | Claude Haiku 5.5 |
| Long context reasoning (AA-LCR) | 82.7% | 80.0% | Claude Haiku 5.5 |
| DTBench | 95.0% | Not measured | Only Claude Haiku 5.5 measured |
| LMCA | 51.1% | Not measured | Only Claude Haiku 5.5 measured |
| Surface Evolver Bench | Not measured | 52.5% | Only GLM 5.3 Flash measured |
| Furniture assembly | 47.5% | Not measured | Only Claude Haiku 5.5 measured |
| LMArena Text | Not measured | 1471 | Only GLM 5.3 Flash measured |
| LMArena Text: instruction following | Not measured | 1478 | Only GLM 5.3 Flash measured |
| LMArena Text: creative writing | Not measured | 1441 | Only GLM 5.3 Flash measured |
| LMArena Vision | Not measured | 1294 | Only GLM 5.3 Flash measured |
| LMArena Text: English | Not measured | 1474 | Only GLM 5.3 Flash measured |
| LMArena Text: non-English | Not measured | 1462 | Only GLM 5.3 Flash measured |
| LMArena Text: Chinese | Not measured | 1531 | Only GLM 5.3 Flash measured |
| LMArena Text: German | Not measured | 1462 | Only GLM 5.3 Flash measured |
| LMArena Text: Japanese | Not measured | 1444 | Only GLM 5.3 Flash measured |
| LMArena Text: Korean | Not measured | 1436 | Only GLM 5.3 Flash measured |
| LMArena Text: French | Not measured | 1491 | Only GLM 5.3 Flash measured |
| LMArena Text: Spanish | Not measured | 1475 | Only GLM 5.3 Flash measured |
| LMArena Text: Russian | Not measured | 1465 | Only GLM 5.3 Flash measured |
| LMArena Text: Polish | Not measured | 1450 | Only GLM 5.3 Flash measured |
| LMArena Text: multi-turn | Not measured | 1469 | Only GLM 5.3 Flash measured |
| LMArena Text: longer queries | Not measured | 1481 | Only GLM 5.3 Flash measured |
| LMArena Text: writing and language | Not measured | 1455 | Only GLM 5.3 Flash measured |
| LMArena Text: entertainment and media | Not measured | 1440 | Only GLM 5.3 Flash measured |
| LMArena Vision: English | Not measured | 1295 | Only GLM 5.3 Flash measured |
| LMArena Vision: Chinese | Not measured | 1363 | Only GLM 5.3 Flash measured |
| LMArena Vision: reading text | Not measured | 1299 | Only GLM 5.3 Flash measured |
| LMArena Vision: humor | Not measured | 1279 | Only GLM 5.3 Flash measured |
| LMArena Vision: creative writing | Not measured | 1270 | Only GLM 5.3 Flash measured |
| Neither model has a result on the other 13 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Claude Haiku 5.5 | GLM 5.3 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
Claude Haiku 5.5 costs less
Repository review
50K input + 3K output tokens
Claude Haiku 5.5 costs less
Agent loop
200K input + 10K output tokens
Claude Haiku 5.5 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 5.5 | Z.ai GLM 5.3 Flash |
|---|---|---|
| Maker | Anthropic | Z.ai |
| Weights | No public weights listed | Open weights |
| Released | October 7, 2026 | August 26, 2026 |
| Context window | 1M | 1.05M |
| Input $/Mtok | $0.10 | $0.15 |
| Output $/Mtok | $0.50 | $0.50 |
| Coding index | 70.7 | 57.7 |
| Independent measurements behind it | 5 | 6 |
| Cost per solved task | Not computable | $0.02 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Claude Haiku 5.5 better than GLM 5.3 Flash for coding?
Pick Claude Haiku 5.5 for coding: it scores 70.7 on the Vibe Coding Index against 57.7 for GLM 5.3 Flash, though on 5 benchmarks against 6. Pick GLM 5.3 Flash for a larger context window (1.05M against 1M tokens) and work measured by LMArena WebDev or Terminal-Bench 4 (Vals AI), where it leads.
Which is cheaper, Claude Haiku 5.5 or GLM 5.3 Flash?
Claude Haiku 5.5 costs $0.10 per million input tokens and $0.50 per million output tokens; GLM 5.3 Flash costs $0.15 and $0.50. Cost per solved task is known for GLM 5.3 Flash only.
Which has the bigger context window, Claude Haiku 5.5 or GLM 5.3 Flash?
GLM 5.3 Flash, with 1.05M tokens against 1M.
How many benchmarks is the Claude Haiku 5.5 vs GLM 5.3 Flash comparison based on?
49 benchmarks have a result for both models as of October 22, 2026. Claude Haiku 5.5's coding index rests on 5 independent benchmarks and GLM 5.3 Flash's on 6. Where only one model has a result, the page says so instead of naming a winner.