Gemini 2.5 Flash vs GLM 5V Turbo
Updated October 21, 2026. 51 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Gemini 2.5 Flash and GLM 5V Turbo are level for coding, 28.7 against 28.8 on the Vibe Coding Index, so price and context decide.
Pick Gemini 2.5 Flash when output tokens cost 1.6x less, or when the context window is larger, 1.05M against 203K tokens. Pick GLM 5V Turbo when what matters is Terminal-Bench Hard (Artificial Analysis run) or LMArena Text: coding, where it leads.
- Shared results
- 51
- Gemini 2.5 Flash only
- 18
- GLM 5V Turbo only
- 14
- 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
No call
Level: 28.7 against 28.8, inside 2 points.
One benchmark behind each score
Intelligence
AA Intelligence Index
GLM 5V Turbo
GLM 5V Turbo leads, 23.5 against 15.5.
Same board, both measured
Web design
Design Arena: websites
GLM 5V Turbo
GLM 5V Turbo leads, 1230 against 1074.
Same board, both measured
Long documents
Listed context window
Gemini 2.5 Flash
Gemini 2.5 Flash takes 1.05M tokens against 203K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Gemini 2.5 Flash
Gemini 2.5 Flash $0.0015, GLM 5V Turbo $0.0032 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Gemini 2.5 Flash has the number, $0.466.
Directional only
At a glance
- Coding index
- Gemini 2.5 Flash 28.7 from 1 benchmark, GLM 5V Turbo 28.8 from 1 benchmark.
- Widest category
- Agentic work, 67.0 points apart on average over 1 shared benchmark.
- Widest single gap
- τ²-Bench Telecom: Gemini 2.5 Flash 31.6% against GLM 5V Turbo 98.5%, 67.0 points apart on a 0 to 100 scale.
- Output price
- Gemini 2.5 Flash $2.50 against GLM 5V Turbo $4.00 per million output tokens, 1.6x apart.
- Context window
- Gemini 2.5 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 2.5 Flash | Bars | GLM 5V Turbo | Ties |
|---|---|---|---|---|
| Coding | 0 | 3 | ||
| Intelligence | 0 | 1 | ||
| Agentic work | 0 | 1 | ||
| Reasoning | 0 | 7 | ||
| Math | 0 | 2 | ||
| Knowledge | 0 | 4 | ||
| Web design | 0 | 7 | ||
| General | 2 | 24 | ||
| All shared boards | 2 | 49 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index03
| Benchmark | Gemini 2.5 Flash | GLM 5V Turbo | Leader |
|---|---|---|---|
| SWE-bench Verified | 28.7% | Not measured | Only Gemini 2.5 Flash measured |
| LMArena WebDev | Not measured | 1402 | Only GLM 5V Turbo measured |
| LiveCodeBench (Artificial Analysis run) | 69.5% | Not measured | Only Gemini 2.5 Flash measured |
| Terminal-Bench Hard (Artificial Analysis run) | 13.6% | 32.6% | GLM 5V Turbo |
| Terminal-Bench | 17.1% | Not measured | Only Gemini 2.5 Flash measured |
| LMArena Text: coding | 1423 | 1466 | GLM 5V Turbo |
| LMArena Text: software and IT | 1425 | 1460 | GLM 5V Turbo |
| LMArena WebDev: React | Not measured | 1386 | Only GLM 5V Turbo measured |
| LMArena WebDev: HTML | Not measured | 1356 | Only GLM 5V Turbo measured |
| LMArena WebDev: from an image | Not measured | 1425 | Only GLM 5V Turbo measured |
| Neither model has a result on the other 28 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Gemini 2.5 Flash | GLM 5V Turbo | Leader |
|---|---|---|---|
| AA Intelligence Index | 15.5 | 23.5 | GLM 5V Turbo |
| Epoch Capabilities Index | 142.9 | Not measured | Only Gemini 2.5 Flash measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Gemini 2.5 Flash | GLM 5V Turbo | Leader |
|---|---|---|---|
| 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 |
| τ²-Bench Telecom | 31.6% | 98.5% | GLM 5V Turbo |
| BALROG | 33.5% | Not measured | Only Gemini 2.5 Flash measured |
| Vending-Bench 2 | $549 | Not measured | Only Gemini 2.5 Flash measured |
| Neither model has a result on the other 28 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index07
| Benchmark | Gemini 2.5 Flash | GLM 5V Turbo | Leader |
|---|---|---|---|
| GPQA Diamond (Artificial Analysis run) | 79.0% | 80.9% | GLM 5V Turbo |
| Humanity's Last Exam (Artificial Analysis run) | 12.1% | 17.1% | GLM 5V Turbo |
| ARC-AGI | 33.3% | Not measured | Only Gemini 2.5 Flash measured |
| ARC-AGI-2 | 2.5% | Not measured | Only Gemini 2.5 Flash measured |
| SimpleBench | 41.2% | Not measured | Only Gemini 2.5 Flash measured |
| LMArena Text: hard prompts | 1422 | 1443 | GLM 5V Turbo |
| LMArena Text: expert | 1426 | 1453 | GLM 5V Turbo |
| LMArena Text: hard prompts in English | 1420 | 1456 | GLM 5V Turbo |
| LMArena Vision: diagrams | 1245 | 1286 | GLM 5V Turbo |
| LMArena Vision: homework | 1244 | 1273 | GLM 5V Turbo |
| Neither model has a result on the other 11 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Gemini 2.5 Flash | GLM 5V Turbo | Leader |
|---|---|---|---|
| AA Math Index | 73.3 | Not measured | Only Gemini 2.5 Flash measured |
| AIME 2025 (Artificial Analysis run) | 73.3% | Not measured | Only Gemini 2.5 Flash measured |
| LMArena Text: math | 1411 | 1442 | GLM 5V Turbo |
| LMArena Text: mathematical work | 1422 | 1447 | GLM 5V Turbo |
| Neither model has a result on the other 9 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
| Benchmark | Gemini 2.5 Flash | GLM 5V Turbo | Leader |
|---|---|---|---|
| MedCode (Vals AI) | 40.4% | Not measured | Only Gemini 2.5 Flash measured |
| MMLU Pro (Artificial Analysis run) | 83.2% | Not measured | Only Gemini 2.5 Flash measured |
| LMArena Text: science | 1433 | 1448 | GLM 5V Turbo |
| LMArena Text: medicine and healthcare | 1428 | 1433 | GLM 5V Turbo |
| LMArena Text: legal and government | 1430 | 1436 | GLM 5V Turbo |
| LMArena Text: business and finance | 1404 | 1435 | GLM 5V Turbo |
| Neither model has a result on the other 11 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index07
| Benchmark | Gemini 2.5 Flash | GLM 5V Turbo | Leader |
|---|---|---|---|
| Design Arena: websites | 1074 | 1230 | GLM 5V Turbo |
| Design Arena: UI components | 1005 | 1213 | GLM 5V Turbo |
| Design Arena: game dev | 1005 | 1219 | GLM 5V Turbo |
| Design Arena: data viz | 1060 | 1202 | GLM 5V Turbo |
| Design Arena: 3D | 1021 | 1209 | GLM 5V Turbo |
| Design Arena: all code categories | 1059 | 1228 | GLM 5V Turbo |
| Design Arena: SVG | 1018 | 1151 | GLM 5V Turbo |
| Design Arena: ASCII art | Not measured | 1118 | Only GLM 5V Turbo measured |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index224
| Benchmark | Gemini 2.5 Flash | GLM 5V Turbo | Leader |
|---|---|---|---|
| SAGE (Vals AI) | 44.8% | Not measured | Only Gemini 2.5 Flash measured |
| MedScribe (Vals AI) | 83.0% | Not measured | Only Gemini 2.5 Flash measured |
| IFBench | 50.3% | 61.1% | GLM 5V Turbo |
| Long context reasoning (AA-LCR) | 65.3% | 70.3% | GLM 5V Turbo |
| DTBench | 76.5% | Not measured | Only Gemini 2.5 Flash measured |
| LMCA | 27.5% | Not measured | Only Gemini 2.5 Flash measured |
| LMArena Text | 1417 | 1437 | GLM 5V Turbo |
| LMArena Text: instruction following | 1405 | 1423 | GLM 5V Turbo |
| LMArena Text: creative writing | 1400 | 1417 | GLM 5V Turbo |
| LMArena Vision | 1235 | 1264 | GLM 5V Turbo |
| LMArena Text: English | 1418 | 1454 | GLM 5V Turbo |
| LMArena Text: non-English | 1409 | 1420 | GLM 5V Turbo |
| LMArena Text: Chinese | 1449 | 1491 | GLM 5V Turbo |
| LMArena Text: German | 1417 | 1422 | GLM 5V Turbo |
| LMArena Text: Japanese | 1396 | Not measured | Only Gemini 2.5 Flash measured |
| LMArena Text: Korean | 1385 | 1397 | GLM 5V Turbo |
| LMArena Text: French | 1432 | 1443 | GLM 5V Turbo |
| LMArena Text: Spanish | 1422 | 1452 | GLM 5V Turbo |
| LMArena Text: Russian | 1415 | 1432 | GLM 5V Turbo |
| LMArena Text: Polish | 1413 | 1432 | GLM 5V Turbo |
| LMArena Text: multi-turn | 1408 | 1431 | GLM 5V Turbo |
| LMArena Text: longer queries | 1419 | 1438 | GLM 5V Turbo |
| LMArena Text: writing and language | 1405 | 1420 | GLM 5V Turbo |
| LMArena Text: entertainment and media | 1393 | 1407 | GLM 5V Turbo |
| LMArena Vision: English | 1239 | 1274 | GLM 5V Turbo |
| LMArena Vision: Chinese | 1284 | 1329 | GLM 5V Turbo |
| LMArena Vision: reading text | 1237 | 1270 | GLM 5V Turbo |
| LMArena Vision: humor | 1225 | 1268 | GLM 5V Turbo |
| LMArena Vision: captioning | 1277 | 1264 | Gemini 2.5 Flash |
| LMArena Vision: recognizing things | 1252 | 1241 | Gemini 2.5 Flash |
| LMArena Vision: creative writing | 1241 | 1252 | GLM 5V Turbo |
| LMArena Document | Not measured | 1416 | Only GLM 5V Turbo measured |
| Neither model has a result on the other 14 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Gemini 2.5 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
Gemini 2.5 Flash costs less
Repository review
50K input + 3K output tokens
Gemini 2.5 Flash costs less
Agent loop
200K input + 10K output tokens
Gemini 2.5 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 2.5 Flash | Z.ai GLM 5V Turbo |
|---|---|---|
| Maker | Z.ai | |
| Weights | No public weights listed | No public weights listed |
| Released | June 17, 2025 | April 1, 2026 |
| Context window | 1.05M | 203K |
| Input $/Mtok | $0.30 | $1.20 |
| Output $/Mtok | $2.50 | $4.00 |
| Coding index | 28.7 | 28.8 |
| Independent measurements behind it | 1 | 1 |
| Cost per solved task | $0.466 | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Gemini 2.5 Flash better than GLM 5V Turbo for coding?
Gemini 2.5 Flash and GLM 5V Turbo are level for coding, 28.7 against 28.8 on the Vibe Coding Index, so price and context decide. Pick Gemini 2.5 Flash when output tokens cost 1.6x less, or when the context window is larger, 1.05M against 203K tokens. Pick GLM 5V Turbo when what matters is Terminal-Bench Hard (Artificial Analysis run) or LMArena Text: coding, where it leads.
Which is cheaper, Gemini 2.5 Flash or GLM 5V Turbo?
Gemini 2.5 Flash costs $0.30 per million input tokens and $2.50 per million output tokens; GLM 5V Turbo costs $1.20 and $4.00. Cost per solved task is known for Gemini 2.5 Flash only.
Which has the bigger context window, Gemini 2.5 Flash or GLM 5V Turbo?
Gemini 2.5 Flash, with 1.05M tokens against 203K.
How many benchmarks is the Gemini 2.5 Flash vs GLM 5V Turbo comparison based on?
51 benchmarks have a result for both models as of October 21, 2026. Gemini 2.5 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.