Gemini 3.5 Flash vs GLM 5V Turbo
Updated October 21, 2026. 63 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Pick Gemini 3.5 Flash for coding: it scores 42.8 on the Vibe Coding Index against 28.8 for GLM 5V Turbo.
Pick GLM 5V Turbo when output tokens cost 2.3x less, or when what matters is Design Arena: agents building Android apps or τ²-Bench Telecom, where it leads.
- Shared results
- 63
- Gemini 3.5 Flash only
- 47
- GLM 5V Turbo only
- 2
- Like-for-like categories
- 8 of 9
Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.
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, four public coding benchmarks
Gemini 3.5 Flash
Gemini 3.5 Flash scores 42.8 against 28.8.
One benchmark behind each score
Intelligence
AA Intelligence Index
Gemini 3.5 Flash
Gemini 3.5 Flash leads, 33.6 against 23.5.
Same board, both measured
Reasoning
GPQA Diamond
No call
Only Gemini 3.5 Flash has a GPQA Diamond result, 92.7%.
Directional only
Knowledge
MMLU Pro
No call
Only Gemini 3.5 Flash has a MMLU Pro result, 89.5%.
Directional only
Web design
Design Arena: websites
Gemini 3.5 Flash
Gemini 3.5 Flash leads, 1268 against 1230.
Same board, both measured
Long documents
Listed context window
Gemini 3.5 Flash
Gemini 3.5 Flash takes 1.05M tokens against 203K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
GLM 5V Turbo
Gemini 3.5 Flash $0.0060, GLM 5V Turbo $0.0032 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Gemini 3.5 Flash has the number, $1.21.
Directional only
At a glance
- Coding index
- Gemini 3.5 Flash 42.8 from 1 benchmark, GLM 5V Turbo 28.8 from 1 benchmark.
- Widest category
- Coding, 13.8 points apart on average over 7 shared benchmarks.
- Widest single gap
- LMArena WebDev: HTML: Gemini 3.5 Flash 1522 against GLM 5V Turbo 1356, 27.7 points apart on a 0 to 100 scale.
- Output price
- Gemini 3.5 Flash $9.00 against GLM 5V Turbo $4.00 per million output tokens, 2.3x apart.
- Context window
- Gemini 3.5 Flash takes 1.05M 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 | Gemini 3.5 Flash | Bars | GLM 5V Turbo | Ties |
|---|---|---|---|---|
| Coding | 7 | 0 | ||
| Intelligence | 1 | 0 | ||
| Agentic work | 7 | 2 | ||
| Reasoning | 7 | 0 | ||
| Math | 2 | 0 | ||
| Knowledge | 4 | 0 | ||
| Web design | 8 | 0 | ||
| General | 25 | 0 | ||
| All shared boards | 61 | 2 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index70
| Benchmark | Gemini 3.5 Flash | GLM 5V Turbo | Leader |
|---|---|---|---|
| LMArena WebDev | 1499 | 1402 | Gemini 3.5 Flash |
| LiveCodeBench (Vals AI) | 87.6% | Not measured | Only Gemini 3.5 Flash measured |
| SWE-bench Verified (Vals AI) | 78.8% | Not measured | Only Gemini 3.5 Flash measured |
| Terminal-Bench 4 (Vals AI) | 6.1% | Not measured | Only Gemini 3.5 Flash measured |
| Vibe Code Bench (Vals AI) | 48.7% | Not measured | Only Gemini 3.5 Flash measured |
| Code migration (Vals AI) | 26.8% | Not measured | Only Gemini 3.5 Flash measured |
| ProgramBench (Vals AI) | 0.0% | Not measured | Only Gemini 3.5 Flash measured |
| Terminal-Bench 2.1 (Vals AI) | 74.2% | Not measured | Only Gemini 3.5 Flash measured |
| SkillsBench (Vals AI) | 52.7% | Not measured | Only Gemini 3.5 Flash measured |
| SciCode | 53.9% | Not measured | Only Gemini 3.5 Flash measured |
| Terminal-Bench Hard (Artificial Analysis run) | 46.2% | 32.6% | Gemini 3.5 Flash |
| WeirdML | 62.6% | Not measured | Only Gemini 3.5 Flash measured |
| ALE-Bench | 911.0 | Not measured | Only Gemini 3.5 Flash measured |
| LMArena Text: coding | 1493 | 1466 | Gemini 3.5 Flash |
| LMArena Text: software and IT | 1494 | 1460 | Gemini 3.5 Flash |
| LMArena WebDev: React | 1495 | 1386 | Gemini 3.5 Flash |
| LMArena WebDev: HTML | 1522 | 1356 | Gemini 3.5 Flash |
| LMArena WebDev: from an image | 1504 | 1425 | Gemini 3.5 Flash |
| Neither model has a result on the other 20 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Gemini 3.5 Flash | GLM 5V Turbo | Leader |
|---|---|---|---|
| AA Intelligence Index | 33.6 | 23.5 | Gemini 3.5 Flash |
| Epoch Capabilities Index | 154.9 | Not measured | Only Gemini 3.5 Flash measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index72
| Benchmark | Gemini 3.5 Flash | GLM 5V Turbo | Leader |
|---|---|---|---|
| Design Arena: agents building web apps | 1202 | 1124 | Gemini 3.5 Flash |
| Design Arena: agents building full-stack apps | 1197 | 1149 | Gemini 3.5 Flash |
| Design Arena: agents building mobile apps | 1175 | 1134 | Gemini 3.5 Flash |
| Design Arena: agents building Android apps | 1190 | 1267 | GLM 5V Turbo |
| Design Arena: agents building Godot games | 1098 | 957 | Gemini 3.5 Flash |
| Design Arena: agents building games | 1180 | 1102 | Gemini 3.5 Flash |
| Design Arena: HTML slides | 1142 | 1120 | Gemini 3.5 Flash |
| Design Arena: PowerPoint slides | 1178 | 1152 | Gemini 3.5 Flash |
| Finance Agent (Vals AI) | 57.9% | Not measured | Only Gemini 3.5 Flash measured |
| Tax Agent Bench (Vals AI) | 21.6% | Not measured | Only Gemini 3.5 Flash measured |
| Legal Research Bench (Vals AI) | 30.8% | Not measured | Only Gemini 3.5 Flash measured |
| Excel Modeling Benchmark (Vals AI) | 63.5% | Not measured | Only Gemini 3.5 Flash measured |
| Terminal-Bench-Science (Vals AI) | 5.7% | Not measured | Only Gemini 3.5 Flash measured |
| τ²-Bench Telecom | 95.6% | 98.5% | GLM 5V Turbo |
| APEX-Agents | 27.5% | Not measured | Only Gemini 3.5 Flash measured |
| Vending-Bench 2 | $5,396 | Not measured | Only Gemini 3.5 Flash measured |
| Neither model has a result on the other 23 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index70
| Benchmark | Gemini 3.5 Flash | GLM 5V Turbo | Leader |
|---|---|---|---|
| GPQA Diamond | 92.7% | Not measured | Only Gemini 3.5 Flash measured |
| MMMU Pro (Vals AI) | 88.3% | Not measured | Only Gemini 3.5 Flash measured |
| GPQA Diamond (Artificial Analysis run) | 92.2% | 80.9% | Gemini 3.5 Flash |
| Humanity's Last Exam (Artificial Analysis run) | 42.7% | 17.1% | Gemini 3.5 Flash |
| GPQA Diamond (Epoch AI run) | 92.8% | Not measured | Only Gemini 3.5 Flash measured |
| ARC-AGI | 92.5% | Not measured | Only Gemini 3.5 Flash measured |
| ARC-AGI-2 | 72.1% | Not measured | Only Gemini 3.5 Flash measured |
| SimpleBench | 76.7% | Not measured | Only Gemini 3.5 Flash measured |
| Chess puzzles | 45.0% | Not measured | Only Gemini 3.5 Flash measured |
| Mystery game puzzles | 32.0% | Not measured | Only Gemini 3.5 Flash measured |
| EBR-bench | 4.8% | Not measured | Only Gemini 3.5 Flash measured |
| LMArena Text: hard prompts | 1488 | 1443 | Gemini 3.5 Flash |
| LMArena Text: expert | 1495 | 1453 | Gemini 3.5 Flash |
| LMArena Text: hard prompts in English | 1483 | 1456 | Gemini 3.5 Flash |
| LMArena Vision: diagrams | 1323 | 1286 | Gemini 3.5 Flash |
| LMArena Vision: homework | 1330 | 1273 | Gemini 3.5 Flash |
| Neither model has a result on the other 5 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Gemini 3.5 Flash | GLM 5V Turbo | Leader |
|---|---|---|---|
| OTIS Mock AIME | 95.6% | Not measured | Only Gemini 3.5 Flash measured |
| FrontierMath, tiers 1 to 3 | 62.8% | Not measured | Only Gemini 3.5 Flash measured |
| FrontierMath, tier 4 | 26.8% | Not measured | Only Gemini 3.5 Flash measured |
| ProofBench | 31.0% | Not measured | Only Gemini 3.5 Flash measured |
| LMArena Text: math | 1504 | 1442 | Gemini 3.5 Flash |
| LMArena Text: mathematical work | 1495 | 1447 | Gemini 3.5 Flash |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | Gemini 3.5 Flash | GLM 5V Turbo | Leader |
|---|---|---|---|
| MMLU Pro | 89.5% | Not measured | Only Gemini 3.5 Flash measured |
| LegalBench (Vals AI) | 83.6% | Not measured | Only Gemini 3.5 Flash measured |
| CorpFin (Vals AI) | 64.7% | Not measured | Only Gemini 3.5 Flash measured |
| TaxEval (Vals AI) | 74.4% | Not measured | Only Gemini 3.5 Flash measured |
| MortgageTax (Vals AI) | 68.1% | Not measured | Only Gemini 3.5 Flash measured |
| MedCode (Vals AI) | 55.8% | Not measured | Only Gemini 3.5 Flash measured |
| SimpleQA Verified | 66.2% | Not measured | Only Gemini 3.5 Flash measured |
| LMArena Text: science | 1495 | 1448 | Gemini 3.5 Flash |
| LMArena Text: medicine and healthcare | 1483 | 1433 | Gemini 3.5 Flash |
| LMArena Text: legal and government | 1488 | 1436 | Gemini 3.5 Flash |
| LMArena Text: business and finance | 1467 | 1435 | Gemini 3.5 Flash |
| Neither model has a result on the other 6 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index80
| Benchmark | Gemini 3.5 Flash | GLM 5V Turbo | Leader |
|---|---|---|---|
| Design Arena: websites | 1268 | 1230 | Gemini 3.5 Flash |
| Design Arena: UI components | 1272 | 1213 | Gemini 3.5 Flash |
| Design Arena: game dev | 1263 | 1219 | Gemini 3.5 Flash |
| Design Arena: data viz | 1236 | 1202 | Gemini 3.5 Flash |
| Design Arena: 3D | 1244 | 1209 | Gemini 3.5 Flash |
| Design Arena: all code categories | 1266 | 1228 | Gemini 3.5 Flash |
| Design Arena: SVG | 1254 | 1151 | Gemini 3.5 Flash |
| Design Arena: ASCII art | 1253 | 1118 | Gemini 3.5 Flash |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index250
| Benchmark | Gemini 3.5 Flash | GLM 5V Turbo | Leader |
|---|---|---|---|
| Public Benefits Bench (Vals AI) | 59.5% | Not measured | Only Gemini 3.5 Flash measured |
| SAGE (Vals AI) | 49.9% | Not measured | Only Gemini 3.5 Flash measured |
| MedScribe (Vals AI) | 76.6% | Not measured | Only Gemini 3.5 Flash measured |
| Vals Multimodal Index | 62.9% | Not measured | Only Gemini 3.5 Flash measured |
| IFBench | 76.3% | 61.1% | Gemini 3.5 Flash |
| Long context reasoning (AA-LCR) | 74.3% | 70.3% | Gemini 3.5 Flash |
| DTBench | 94.7% | Not measured | Only Gemini 3.5 Flash measured |
| LMCA | 47.1% | Not measured | Only Gemini 3.5 Flash measured |
| Surface Evolver Bench | 58.1% | Not measured | Only Gemini 3.5 Flash measured |
| LMArena Text | 1482 | 1437 | Gemini 3.5 Flash |
| LMArena Text: instruction following | 1467 | 1423 | Gemini 3.5 Flash |
| LMArena Text: creative writing | 1470 | 1417 | Gemini 3.5 Flash |
| LMArena Vision | 1308 | 1264 | Gemini 3.5 Flash |
| LMArena Text: English | 1481 | 1454 | Gemini 3.5 Flash |
| LMArena Text: non-English | 1475 | 1420 | Gemini 3.5 Flash |
| LMArena Text: Chinese | 1527 | 1491 | Gemini 3.5 Flash |
| LMArena Text: German | 1494 | 1422 | Gemini 3.5 Flash |
| LMArena Text: Japanese | 1486 | Not measured | Only Gemini 3.5 Flash measured |
| LMArena Text: Korean | 1448 | 1397 | Gemini 3.5 Flash |
| LMArena Text: French | 1490 | 1443 | Gemini 3.5 Flash |
| LMArena Text: Spanish | 1480 | 1452 | Gemini 3.5 Flash |
| LMArena Text: Russian | 1493 | 1432 | Gemini 3.5 Flash |
| LMArena Text: Polish | 1516 | 1432 | Gemini 3.5 Flash |
| LMArena Text: multi-turn | 1481 | 1431 | Gemini 3.5 Flash |
| LMArena Text: longer queries | 1483 | 1438 | Gemini 3.5 Flash |
| LMArena Text: writing and language | 1478 | 1420 | Gemini 3.5 Flash |
| LMArena Text: entertainment and media | 1459 | 1407 | Gemini 3.5 Flash |
| LMArena Vision: English | 1305 | 1274 | Gemini 3.5 Flash |
| LMArena Vision: Chinese | 1377 | 1329 | Gemini 3.5 Flash |
| LMArena Vision: reading text | 1317 | 1270 | Gemini 3.5 Flash |
| LMArena Vision: humor | 1321 | 1268 | Gemini 3.5 Flash |
| 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 | 1301 | 1252 | Gemini 3.5 Flash |
| LMArena Document | 1463 | 1416 | Gemini 3.5 Flash |
| Neither model has a result on the other 11 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Gemini 3.5 Flash | 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
GLM 5V Turbo costs less
Agent loop
200K input + 10K output tokens
GLM 5V Turbo 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 3.5 Flash | Z.ai GLM 5V Turbo |
|---|---|---|
| Maker | Z.ai | |
| Weights | No public weights listed | No public weights listed |
| Released | May 19, 2026 | April 1, 2026 |
| Context window | 1.05M | 203K |
| Input $/Mtok | $1.50 | $1.20 |
| Output $/Mtok | $9.00 | $4.00 |
| Coding index | 42.8 | 28.8 |
| Independent measurements behind it | 1 | 1 |
| Cost per solved task | $1.21 | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Gemini 3.5 Flash better than GLM 5V Turbo for coding?
Pick Gemini 3.5 Flash for coding: it scores 42.8 on the Vibe Coding Index against 28.8 for GLM 5V Turbo. Pick GLM 5V Turbo when output tokens cost 2.3x less, or when what matters is Design Arena: agents building Android apps or τ²-Bench Telecom, where it leads.
Which is cheaper, Gemini 3.5 Flash or GLM 5V Turbo?
Gemini 3.5 Flash costs $1.50 per million input tokens and $9.00 per million output tokens; GLM 5V Turbo costs $1.20 and $4.00. Cost per solved task is known for Gemini 3.5 Flash only.
Which has the bigger context window, Gemini 3.5 Flash or GLM 5V Turbo?
Gemini 3.5 Flash, with 1.05M tokens against 203K.
How many benchmarks is the Gemini 3.5 Flash vs GLM 5V Turbo comparison based on?
63 benchmarks have a result for both models as of October 21, 2026. Gemini 3.5 Flash's coding index rests on 1 independent benchmark and GLM 5V Turbo's on 1. Where only one model has a result, the page says so instead of naming a winner.