Gemini 3.1 Flash Lite Preview vs GLM 5V Turbo
Updated October 21, 2026. 50 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Pick GLM 5V Turbo for coding: it scores 28.8 on the Vibe Coding Index against 8.1 for Gemini 3.1 Flash Lite Preview.
Pick Gemini 3.1 Flash Lite Preview when output tokens cost 2.7x less, or when the context window is larger, 1.05M against 203K tokens.
- Shared results
- 50
- Gemini 3.1 Flash Lite Preview only
- 27
- GLM 5V Turbo only
- 15
- Like-for-like categories
- 7 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
GLM 5V Turbo
GLM 5V Turbo scores 28.8 against 8.1.
One benchmark behind each score
Intelligence
AA Intelligence Index
GLM 5V Turbo
GLM 5V Turbo leads, 23.5 against 15.6.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Gemini 3.1 Flash Lite Preview has a AA Agentic Index result, 1.6.
Directional only
Reasoning
GPQA Diamond
No call
Only Gemini 3.1 Flash Lite Preview has a GPQA Diamond result, 81.1%.
Directional only
Math
AIME
No call
Only Gemini 3.1 Flash Lite Preview has a AIME result, 83.3%.
Directional only
Knowledge
MMLU Pro
No call
Only Gemini 3.1 Flash Lite Preview has a MMLU Pro result, 86.2%.
Directional only
Web design
Design Arena: websites
GLM 5V Turbo
GLM 5V Turbo leads, 1230 against 1083.
Same board, both measured
Long documents
Listed context window
Gemini 3.1 Flash Lite Preview
Gemini 3.1 Flash Lite Preview takes 1.05M tokens against 203K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Gemini 3.1 Flash Lite Preview
Gemini 3.1 Flash Lite Preview $0.0010, GLM 5V Turbo $0.0032 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Gemini 3.1 Flash Lite Preview has the number, $0.18.
Directional only
At a glance
- Coding index
- Gemini 3.1 Flash Lite Preview 8.1 from 1 benchmark, GLM 5V Turbo 28.8 from 1 benchmark.
- Widest category
- Web design, 17.2 points apart on average over 8 shared benchmarks.
- Widest single gap
- Design Arena: game dev: Gemini 3.1 Flash Lite Preview 1029 against GLM 5V Turbo 1219, 23.8 points apart on a 0 to 100 scale.
- Output price
- Gemini 3.1 Flash Lite Preview $1.50 against GLM 5V Turbo $4.00 per million output tokens, 2.7x apart.
- Context window
- Gemini 3.1 Flash Lite Preview 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 3.1 Flash Lite Preview | Bars | GLM 5V Turbo | Ties |
|---|---|---|---|---|
| Coding | 0 | 6 | ||
| Intelligence | 0 | 1 | ||
| Reasoning | 0 | 5 | ||
| Math | 0 | 2 | ||
| Knowledge | 0 | 4 | ||
| Web design | 1 | 7 | ||
| General | 3 | 21 | ||
| All shared boards | 4 | 46 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index06
| Benchmark | Gemini 3.1 Flash Lite Preview | GLM 5V Turbo | Leader |
|---|---|---|---|
| LMArena WebDev | 1257 | 1402 | GLM 5V Turbo |
| AA Coding Index | 34.7 | Not measured | Only Gemini 3.1 Flash Lite Preview measured |
| LiveCodeBench (Vals AI) | 80.1% | Not measured | Only Gemini 3.1 Flash Lite Preview measured |
| SWE-bench Verified (Vals AI) | 62.8% | Not measured | Only Gemini 3.1 Flash Lite Preview measured |
| Vibe Code Bench (Vals AI) | 0.0% | Not measured | Only Gemini 3.1 Flash Lite Preview measured |
| Code migration (Vals AI) | 4.6% | Not measured | Only Gemini 3.1 Flash Lite Preview measured |
| ProgramBench (Vals AI) | 0.0% | Not measured | Only Gemini 3.1 Flash Lite Preview measured |
| Terminal-Bench 2.1 (Vals AI) | 34.1% | Not measured | Only Gemini 3.1 Flash Lite Preview measured |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 32.6% | Only GLM 5V Turbo measured |
| ALE-Bench | 797.7 | Not measured | Only Gemini 3.1 Flash Lite Preview measured |
| LMArena Text: coding | 1400 | 1466 | GLM 5V Turbo |
| LMArena Text: software and IT | 1413 | 1460 | GLM 5V Turbo |
| LMArena WebDev: React | 1245 | 1386 | GLM 5V Turbo |
| LMArena WebDev: HTML | 1276 | 1356 | GLM 5V Turbo |
| LMArena WebDev: from an image | 1336 | 1425 | GLM 5V Turbo |
| Neither model has a result on the other 23 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Gemini 3.1 Flash Lite Preview | GLM 5V Turbo | Leader |
|---|---|---|---|
| AA Intelligence Index | 15.6 | 23.5 | GLM 5V Turbo |
| Neither model has a result on the other 1 board here | |||
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index14 boards, none shared
| Benchmark | Gemini 3.1 Flash Lite Preview | GLM 5V Turbo | Leader |
|---|---|---|---|
| AA Agentic Index | 1.6 | Not measured | Only Gemini 3.1 Flash Lite Preview 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 | 1120 | Only GLM 5V Turbo measured |
| Design Arena: PowerPoint slides | Not measured | 1152 | Only GLM 5V Turbo measured |
| Finance Agent (Vals AI) | 30.0% | Not measured | Only Gemini 3.1 Flash Lite Preview measured |
| Tax Agent Bench (Vals AI) | 3.1% | Not measured | Only Gemini 3.1 Flash Lite Preview measured |
| Legal Research Bench (Vals AI) | 3.4% | Not measured | Only Gemini 3.1 Flash Lite Preview measured |
| Excel Modeling Benchmark (Vals AI) | 8.6% | Not measured | Only Gemini 3.1 Flash Lite Preview measured |
| τ²-Bench Telecom | Not measured | 98.5% | Only GLM 5V Turbo measured |
| Neither model has a result on the other 25 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index05
| Benchmark | Gemini 3.1 Flash Lite Preview | GLM 5V Turbo | Leader |
|---|---|---|---|
| GPQA Diamond | 81.1% | Not measured | Only Gemini 3.1 Flash Lite Preview measured |
| MMMU Pro (Vals AI) | 82.5% | Not measured | Only Gemini 3.1 Flash Lite Preview 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 |
| LMArena Text: hard prompts | 1407 | 1443 | GLM 5V Turbo |
| LMArena Text: expert | 1398 | 1453 | GLM 5V Turbo |
| LMArena Text: hard prompts in English | 1403 | 1456 | GLM 5V Turbo |
| LMArena Vision: diagrams | 1242 | 1286 | GLM 5V Turbo |
| LMArena Vision: homework | 1271 | 1273 | GLM 5V Turbo |
| Neither model has a result on the other 12 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Gemini 3.1 Flash Lite Preview | GLM 5V Turbo | Leader |
|---|---|---|---|
| AIME | 83.3% | Not measured | Only Gemini 3.1 Flash Lite Preview measured |
| LMArena Text: math | 1428 | 1442 | GLM 5V Turbo |
| LMArena Text: mathematical work | 1417 | 1447 | GLM 5V Turbo |
| Neither model has a result on the other 10 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
| Benchmark | Gemini 3.1 Flash Lite Preview | GLM 5V Turbo | Leader |
|---|---|---|---|
| MMLU Pro | 86.2% | Not measured | Only Gemini 3.1 Flash Lite Preview measured |
| LegalBench (Vals AI) | 83.8% | Not measured | Only Gemini 3.1 Flash Lite Preview measured |
| CaseLaw (Vals AI) | 55.0% | Not measured | Only Gemini 3.1 Flash Lite Preview measured |
| CorpFin (Vals AI) | 59.4% | Not measured | Only Gemini 3.1 Flash Lite Preview measured |
| TaxEval (Vals AI) | 71.8% | Not measured | Only Gemini 3.1 Flash Lite Preview measured |
| MortgageTax (Vals AI) | 68.0% | Not measured | Only Gemini 3.1 Flash Lite Preview measured |
| MedCode (Vals AI) | 47.6% | Not measured | Only Gemini 3.1 Flash Lite Preview measured |
| LMArena Text: science | 1425 | 1448 | GLM 5V Turbo |
| LMArena Text: medicine and healthcare | 1428 | 1433 | GLM 5V Turbo |
| LMArena Text: legal and government | 1418 | 1436 | GLM 5V Turbo |
| LMArena Text: business and finance | 1389 | 1435 | GLM 5V Turbo |
| Neither model has a result on the other 6 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index17
| Benchmark | Gemini 3.1 Flash Lite Preview | GLM 5V Turbo | Leader |
|---|---|---|---|
| Design Arena: websites | 1083 | 1230 | GLM 5V Turbo |
| Design Arena: UI components | 1071 | 1213 | GLM 5V Turbo |
| Design Arena: game dev | 1029 | 1219 | GLM 5V Turbo |
| Design Arena: data viz | 1045 | 1202 | GLM 5V Turbo |
| Design Arena: 3D | 1048 | 1209 | GLM 5V Turbo |
| Design Arena: all code categories | 1072 | 1228 | GLM 5V Turbo |
| Design Arena: SVG | 1052 | 1151 | GLM 5V Turbo |
| Design Arena: ASCII art | 1166 | 1118 | Gemini 3.1 Flash Lite Preview |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index321
| Benchmark | Gemini 3.1 Flash Lite Preview | GLM 5V Turbo | Leader |
|---|---|---|---|
| SAGE (Vals AI) | 49.5% | Not measured | Only Gemini 3.1 Flash Lite Preview measured |
| MedScribe (Vals AI) | 63.9% | Not measured | Only Gemini 3.1 Flash Lite Preview measured |
| Vals Multimodal Index | 41.4% | Not measured | Only Gemini 3.1 Flash Lite Preview 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 |
| LMArena Text | 1416 | 1437 | GLM 5V Turbo |
| LMArena Text: instruction following | 1377 | 1423 | GLM 5V Turbo |
| LMArena Text: creative writing | 1401 | 1417 | GLM 5V Turbo |
| LMArena Vision | 1240 | 1264 | GLM 5V Turbo |
| LMArena Text: English | 1414 | 1454 | GLM 5V Turbo |
| LMArena Text: non-English | 1410 | 1420 | GLM 5V Turbo |
| LMArena Text: Chinese | 1460 | 1491 | GLM 5V Turbo |
| LMArena Text: German | 1430 | 1422 | Gemini 3.1 Flash Lite Preview |
| LMArena Text: Japanese | 1413 | Not measured | Only Gemini 3.1 Flash Lite Preview measured |
| LMArena Text: Korean | 1392 | 1397 | GLM 5V Turbo |
| LMArena Text: French | 1424 | 1443 | GLM 5V Turbo |
| LMArena Text: Spanish | 1421 | 1452 | GLM 5V Turbo |
| LMArena Text: Russian | 1420 | 1432 | GLM 5V Turbo |
| LMArena Text: Polish | 1443 | 1432 | Gemini 3.1 Flash Lite Preview |
| LMArena Text: multi-turn | 1417 | 1431 | GLM 5V Turbo |
| LMArena Text: longer queries | 1394 | 1438 | GLM 5V Turbo |
| LMArena Text: writing and language | 1408 | 1420 | GLM 5V Turbo |
| LMArena Text: entertainment and media | 1386 | 1407 | GLM 5V Turbo |
| LMArena Vision: English | 1232 | 1274 | GLM 5V Turbo |
| LMArena Vision: Chinese | 1278 | 1329 | GLM 5V Turbo |
| LMArena Vision: reading text | 1246 | 1270 | GLM 5V Turbo |
| LMArena Vision: humor | 1266 | 1268 | GLM 5V Turbo |
| LMArena Vision: captioning | 1259 | 1264 | GLM 5V Turbo |
| LMArena Vision: recognizing things | 1308 | 1241 | Gemini 3.1 Flash Lite Preview |
| LMArena Vision: creative writing | 1248 | 1252 | GLM 5V Turbo |
| LMArena Document | Not measured | 1416 | Only GLM 5V Turbo measured |
| Neither model has a result on the other 15 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Gemini 3.1 Flash Lite Preview | 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
Gemini 3.1 Flash Lite Preview costs less
Repository review
50K input + 3K output tokens
Gemini 3.1 Flash Lite Preview costs less
Agent loop
200K input + 10K output tokens
Gemini 3.1 Flash Lite Preview 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 3.1 Flash Lite Preview | Z.ai GLM 5V Turbo |
|---|---|---|
| Maker | Z.ai | |
| Weights | No public weights listed | No public weights listed |
| Released | March 3, 2026 | April 1, 2026 |
| Context window | 1.05M | 203K |
| Input $/Mtok | $0.25 | $1.20 |
| Output $/Mtok | $1.50 | $4.00 |
| Coding index | 8.1 | 28.8 |
| Independent measurements behind it | 1 | 1 |
| Cost per solved task | $0.18 | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Gemini 3.1 Flash Lite Preview better than GLM 5V Turbo for coding?
Pick GLM 5V Turbo for coding: it scores 28.8 on the Vibe Coding Index against 8.1 for Gemini 3.1 Flash Lite Preview. Pick Gemini 3.1 Flash Lite Preview when output tokens cost 2.7x less, or when the context window is larger, 1.05M against 203K tokens.
Which is cheaper, Gemini 3.1 Flash Lite Preview or GLM 5V Turbo?
Gemini 3.1 Flash Lite Preview costs $0.25 per million input tokens and $1.50 per million output tokens; GLM 5V Turbo costs $1.20 and $4.00. Cost per solved task is known for Gemini 3.1 Flash Lite Preview only.
Which has the bigger context window, Gemini 3.1 Flash Lite Preview or GLM 5V Turbo?
Gemini 3.1 Flash Lite Preview, with 1.05M tokens against 203K.
How many benchmarks is the Gemini 3.1 Flash Lite Preview vs GLM 5V Turbo comparison based on?
50 benchmarks have a result for both models as of October 21, 2026. Gemini 3.1 Flash Lite Preview'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.