Gemini 4 Hydrogen vs GLM 5.3 Flash
Gemini 4 Hydrogen leads GLM 5.3 Flash on coding, 77.9 to 56.2 on the Vibe Coding Index, and GLM 5.3 Flash costs 15.0x less per output token ($0.50 vs $7.50 per million). Updated November 14, 2026; 50 benchmarks have a result for both.
Gemini 4 Hydrogen or GLM 5.3 Flash: which to pick
Pick Gemini 4 Hydrogen for coding: it scores 77.9 on the Vibe Coding Index against 56.2 for GLM 5.3 Flash, though on 4 benchmarks against 6.
Pick GLM 5.3 Flash for output tokens 15.0x cheaper ($0.50 vs $7.50 per million).
- Shared results
- 50
- Gemini 4 Hydrogen only
- 0
- GLM 5.3 Flash only
- 65
- 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
Gemini 4 Hydrogen
Gemini 4 Hydrogen scores 77.9 against 56.2.
4 and 6 benchmarks behind the scores
Intelligence
AA Intelligence Index
No call
Only GLM 5.3 Flash has a AA Intelligence Index result, 27.8.
Directional only
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
Gemini 4 Hydrogen
Gemini 4 Hydrogen leads, 1320 against 1257.
Same board, both measured
General
Vals Index
Gemini 4 Hydrogen
Gemini 4 Hydrogen leads, 68.5% against 50.9%.
Same board, both measured
Long documents
Listed context window
No call
Both take 1.05M tokens.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
GLM 5.3 Flash
Gemini 4 Hydrogen $0.0053, 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
- Gemini 4 Hydrogen 77.9 from 4 benchmarks, GLM 5.3 Flash 56.2 from 6 benchmarks.
- Widest category
- Reasoning, 18.3 points apart on average over 6 shared benchmarks.
- Widest single gap
- Vibe Code Bench (Vals AI): Gemini 4 Hydrogen 87.8% against GLM 5.3 Flash 30.8%, 57.0 points apart on a 0 to 100 scale.
- Output price
- Gemini 4 Hydrogen $7.50 against GLM 5.3 Flash $0.50 per million output tokens, 15.0x apart.
- Context window
- Both take 1.05M tokens.
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 | Gemini 4 Hydrogen | Bars | GLM 5.3 Flash | Ties |
|---|---|---|---|---|
| Coding | 11 | 0 | ||
| Agentic work | 6 | 0 | ||
| Reasoning | 6 | 0 | ||
| Math | 2 | 0 | ||
| Knowledge | 5 | 0 | ||
| Web design | 5 | 0 | ||
| General | 15 | 0 | ||
| All shared boards | 50 | 0 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index110
| Benchmark | Gemini 4 Hydrogen | GLM 5.3 Flash | Leader |
|---|---|---|---|
| LiveBench coding | 78.5% | 70.9% | Gemini 4 Hydrogen |
| LMArena WebDev | 1704 | 1609 | Gemini 4 Hydrogen |
| 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) | 54.0% | 37.4% | Gemini 4 Hydrogen |
| Vibe Code Bench (Vals AI) | 87.8% | 30.8% | Gemini 4 Hydrogen |
| Code migration (Vals AI) | Not measured | 20.5% | Only GLM 5.3 Flash measured |
| ProgramBench (Vals AI) | Not measured | 0.0% | Only GLM 5.3 Flash measured |
| IOI (Vals AI) | Not measured | 52.5% | Only GLM 5.3 Flash measured |
| Terminal-Bench 2.1 (Vals AI) | Not measured | 62.9% | Only GLM 5.3 Flash measured |
| Vibe Code Bench 1-100 (Vals AI) | Not measured | 16.0% | Only GLM 5.3 Flash measured |
| SkillsBench (Vals AI) | Not measured | 40.2% | Only GLM 5.3 Flash measured |
| CyberBench (Vals AI) | Not measured | 67.9% | Only GLM 5.3 Flash measured |
| SciCode | Not measured | 51.6% | Only GLM 5.3 Flash measured |
| Terminal-Bench 4.0 (Artificial Analysis run) | 54.0% | 32.8% | Gemini 4 Hydrogen |
| FrontierCode 2.0 | 39.0% | 17.6% | Gemini 4 Hydrogen |
| FrontierCode | Not measured | 31.8% | Only GLM 5.3 Flash measured |
| FrontierSWE | Not measured | 18.1% | Only GLM 5.3 Flash measured |
| ALE-Bench | Not measured | 303.6 | Only GLM 5.3 Flash measured |
| LMArena Text: coding | 1516 | 1509 | Gemini 4 Hydrogen |
| LMArena Text: software and IT | 1513 | 1501 | Gemini 4 Hydrogen |
| LMArena WebDev: React | 1724 | 1628 | Gemini 4 Hydrogen |
| LMArena WebDev: HTML | 1743 | 1576 | Gemini 4 Hydrogen |
| LMArena WebDev: from an image | Not measured | 1582 | Only GLM 5.3 Flash measured |
| GameBench 2 | Not measured | 60.8 | Only GLM 5.3 Flash measured |
| Terminal-Bench 4.0 | Not measured | 36.7% | Only GLM 5.3 Flash measured |
| CursorBench 4.0 | 57.8% | 36.8% | Gemini 4 Hydrogen |
| Neither model has a result on the other 24 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
| Benchmark | Gemini 4 Hydrogen | GLM 5.3 Flash | Leader |
|---|---|---|---|
| AA Intelligence Index | Not measured | 27.8 | Only GLM 5.3 Flash measured |
| Epoch Capabilities Index | Not measured | 153.8 | Only GLM 5.3 Flash measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index60
| Benchmark | Gemini 4 Hydrogen | GLM 5.3 Flash | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 50.9 | Only GLM 5.3 Flash measured |
| LiveBench research | 86.8% | 73.9% | Gemini 4 Hydrogen |
| LiveBench browser | 77.1% | 59.8% | Gemini 4 Hydrogen |
| LiveBench long agentic | 61.8% | 20.7% | Gemini 4 Hydrogen |
| SREBench (Vals AI) | Not measured | 0.8% | Only GLM 5.3 Flash measured |
| Finance Agent (Vals AI) | Not measured | 57.9% | Only GLM 5.3 Flash measured |
| Tax Agent Bench (Vals AI) | 52.3% | 31.6% | Gemini 4 Hydrogen |
| Legal Research Bench (Vals AI) | 53.8% | 45.2% | Gemini 4 Hydrogen |
| Harvey's Legal Agent Benchmark (Vals AI) | 11.3% | 10.4% | Gemini 4 Hydrogen |
| Excel Modeling Benchmark (Vals AI) | Not measured | 55.9% | Only GLM 5.3 Flash measured |
| Terminal-Bench-Science (Vals AI) | Not measured | 2.9% | Only GLM 5.3 Flash measured |
| APEX-Agents | Not measured | 52.8% | Only GLM 5.3 Flash measured |
| PostTrainBench | Not measured | 36.8% | Only GLM 5.3 Flash measured |
| Toolathlon-Verified | Not measured | 78.4% | Only GLM 5.3 Flash measured |
| Neither model has a result on the other 30 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index60
| Benchmark | Gemini 4 Hydrogen | GLM 5.3 Flash | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 86.4% | Only GLM 5.3 Flash measured |
| LiveBench reasoning | 88.6% | 77.6% | Gemini 4 Hydrogen |
| 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) | Not measured | 39.9% | Only GLM 5.3 Flash measured |
| HLE-Diamond (Artificial Analysis run) | 58.8% | 18.2% | Gemini 4 Hydrogen |
| CritPt v2, hard subset (Artificial Analysis run) | 66.0% | 24.5% | Gemini 4 Hydrogen |
| GPQA Diamond (Epoch AI run) | Not measured | 90.2% | Only GLM 5.3 Flash measured |
| ARC-AGI | Not measured | 91.0% | Only GLM 5.3 Flash measured |
| ARC-AGI-2 | Not measured | 65.8% | Only GLM 5.3 Flash measured |
| Chess puzzles | Not measured | 21.0% | Only GLM 5.3 Flash measured |
| Mystery game puzzles | Not measured | 8.0% | Only GLM 5.3 Flash measured |
| LMArena Text: hard prompts | 1520 | 1490 | Gemini 4 Hydrogen |
| LMArena Text: expert | 1558 | 1511 | Gemini 4 Hydrogen |
| LMArena Text: hard prompts in English | 1514 | 1492 | Gemini 4 Hydrogen |
| LMArena Vision: diagrams | Not measured | 1321 | Only GLM 5.3 Flash measured |
| LMArena Vision: homework | Not measured | 1323 | Only GLM 5.3 Flash measured |
| Neither model has a result on the other 9 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Gemini 4 Hydrogen | GLM 5.3 Flash | Leader |
|---|---|---|---|
| OTIS Mock AIME | Not measured | 93.9% | Only GLM 5.3 Flash measured |
| FrontierMath, tiers 1 to 3 | Not measured | 55.8% | Only GLM 5.3 Flash measured |
| FrontierMath, tier 4 | Not measured | 17.1% | Only GLM 5.3 Flash measured |
| ProofBench | Not measured | 21.0% | Only GLM 5.3 Flash measured |
| LMArena Text: math | 1507 | 1503 | Gemini 4 Hydrogen |
| LMArena Text: mathematical work | 1534 | 1491 | Gemini 4 Hydrogen |
| Neither model has a result on the other 8 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index50
| Benchmark | Gemini 4 Hydrogen | 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 |
| AA-Omniscience | 46.3 | 0.7 | Gemini 4 Hydrogen |
| LMArena Text: science | 1519 | 1485 | Gemini 4 Hydrogen |
| LMArena Text: medicine and healthcare | 1488 | 1480 | Gemini 4 Hydrogen |
| LMArena Text: legal and government | 1532 | 1478 | Gemini 4 Hydrogen |
| LMArena Text: business and finance | 1486 | 1461 | Gemini 4 Hydrogen |
| Neither model has a result on the other 13 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index50
| Benchmark | Gemini 4 Hydrogen | GLM 5.3 Flash | Leader |
|---|---|---|---|
| Design Arena: websites | 1320 | 1257 | Gemini 4 Hydrogen |
| Design Arena: UI components | Not measured | 1296 | Only GLM 5.3 Flash measured |
| Design Arena: game dev | 1369 | 1266 | Gemini 4 Hydrogen |
| Design Arena: data viz | Not measured | 1258 | Only GLM 5.3 Flash measured |
| Design Arena: 3D | 1415 | 1292 | Gemini 4 Hydrogen |
| Design Arena: all code categories | 1333 | 1267 | Gemini 4 Hydrogen |
| Design Arena: SVG | Not measured | 1271 | Only GLM 5.3 Flash measured |
| Design Arena: ASCII art | Not measured | 1269 | Only GLM 5.3 Flash measured |
| LiveBench design | 77.3% | 73.7% | Gemini 4 Hydrogen |
GeneralLike-for-likePublic boards, shown as published, kept out of the index150
| Benchmark | Gemini 4 Hydrogen | GLM 5.3 Flash | Leader |
|---|---|---|---|
| Vals Index | 68.5% | 50.9% | Gemini 4 Hydrogen |
| LiveBench data analysis | 83.2% | 76.4% | Gemini 4 Hydrogen |
| SAGE (Vals AI) | Not measured | 89.3% | Only GLM 5.3 Flash measured |
| MedScribe (Vals AI) | Not measured | 88.9% | Only GLM 5.3 Flash measured |
| Long context reasoning (AA-LCR) | Not measured | 80.0% | Only GLM 5.3 Flash measured |
| GDPval-AA | Not measured | 1648 | Only GLM 5.3 Flash measured |
| Surface Evolver Bench | Not measured | 52.5% | Only GLM 5.3 Flash measured |
| LMArena Text | 1502 | 1472 | Gemini 4 Hydrogen |
| LMArena Text: instruction following | 1519 | 1480 | Gemini 4 Hydrogen |
| LMArena Text: creative writing | 1509 | 1442 | Gemini 4 Hydrogen |
| LMArena Vision | Not measured | 1295 | Only GLM 5.3 Flash measured |
| LMArena Text: English | 1499 | 1477 | Gemini 4 Hydrogen |
| LMArena Text: non-English | 1495 | 1462 | Gemini 4 Hydrogen |
| LMArena Text: Chinese | 1631 | 1528 | Gemini 4 Hydrogen |
| LMArena Text: German | Not measured | 1452 | Only GLM 5.3 Flash measured |
| LMArena Text: Japanese | Not measured | 1453 | Only GLM 5.3 Flash measured |
| LMArena Text: Korean | Not measured | 1427 | Only GLM 5.3 Flash measured |
| LMArena Text: French | 1512 | 1489 | Gemini 4 Hydrogen |
| LMArena Text: Spanish | 1494 | 1476 | Gemini 4 Hydrogen |
| LMArena Text: Russian | 1492 | 1467 | Gemini 4 Hydrogen |
| LMArena Text: Polish | Not measured | 1448 | Only GLM 5.3 Flash measured |
| LMArena Text: multi-turn | 1485 | 1471 | Gemini 4 Hydrogen |
| LMArena Text: longer queries | 1524 | 1481 | Gemini 4 Hydrogen |
| LMArena Text: writing and language | 1500 | 1457 | Gemini 4 Hydrogen |
| LMArena Text: entertainment and media | 1503 | 1442 | Gemini 4 Hydrogen |
| LMArena Vision: English | Not measured | 1299 | Only GLM 5.3 Flash measured |
| LMArena Vision: Chinese | Not measured | 1359 | Only GLM 5.3 Flash measured |
| LMArena Vision: reading text | Not measured | 1303 | Only GLM 5.3 Flash measured |
| LMArena Vision: humor | Not measured | 1291 | Only GLM 5.3 Flash measured |
| LMArena Vision: recognizing things | Not measured | 1279 | Only GLM 5.3 Flash measured |
| LMArena Vision: creative writing | Not measured | 1272 | Only GLM 5.3 Flash measured |
| Neither model has a result on the other 18 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Gemini 4 Hydrogen | 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
GLM 5.3 Flash costs less
Repository review
50K input + 3K output tokens
GLM 5.3 Flash costs less
Agent loop
200K input + 10K output tokens
GLM 5.3 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 | Google Gemini 4 Hydrogen | Z.ai GLM 5.3 Flash |
|---|---|---|
| Maker | Z.ai | |
| Weights | No public weights listed | Open weights |
| Released | November 12, 2026 | August 26, 2026 |
| Context window | 1.05M | 1.05M |
| Input $/Mtok | $1.50 | $0.15 |
| Output $/Mtok | $7.50 | $0.50 |
| Coding index | 77.9 | 56.2 |
| Independent measurements behind it | 4 | 6 |
| Cost per solved task | Not computable | $0.02 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Gemini 4 Hydrogen better than GLM 5.3 Flash for coding?
Pick Gemini 4 Hydrogen for coding: it scores 77.9 on the Vibe Coding Index against 56.2 for GLM 5.3 Flash, though on 4 benchmarks against 6. Pick GLM 5.3 Flash for output tokens 15.0x cheaper ($0.50 vs $7.50 per million).
Which is cheaper, Gemini 4 Hydrogen or GLM 5.3 Flash?
Gemini 4 Hydrogen costs $1.50 per million input tokens and $7.50 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, Gemini 4 Hydrogen or GLM 5.3 Flash?
Neither: both take 1.05M tokens.
How many benchmarks is the Gemini 4 Hydrogen vs GLM 5.3 Flash comparison based on?
50 benchmarks have a result for both models as of November 14, 2026. Gemini 4 Hydrogen's coding index rests on 4 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.