GLM 5V Turbo vs Kimi K2.5
Updated October 21, 2026. 61 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Pick Kimi K2.5 for coding: it scores 58.5 on the Vibe Coding Index against 28.8 for GLM 5V Turbo.
Pick GLM 5V Turbo when what matters is Design Arena: agents building full-stack apps or Design Arena: agents building Android apps, where it leads.
- Shared results
- 61
- GLM 5V Turbo only
- 4
- Kimi K2.5 only
- 37
- 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
Kimi K2.5
Kimi K2.5 scores 58.5 against 28.8.
1 and 2 benchmarks behind the scores
Intelligence
AA Intelligence Index
No call
Tied at 23.5.
Same board, both measured
Reasoning
GPQA Diamond
No call
Only Kimi K2.5 has a GPQA Diamond result, 84.1%.
Directional only
Math
AIME
No call
Only Kimi K2.5 has a AIME result, 95.6%.
Directional only
Knowledge
MMLU Pro
No call
Only Kimi K2.5 has a MMLU Pro result, 85.9%.
Directional only
Web design
Design Arena: websites
Kimi K2.5
Kimi K2.5 leads, 1249 against 1230.
Same board, both measured
Long documents
Listed context window
Kimi K2.5
Kimi K2.5 takes 262K tokens against 203K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Kimi K2.5
GLM 5V Turbo $0.0032, Kimi K2.5 $0.0018 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Kimi K2.5 has the number, $0.24.
Directional only
At a glance
- Coding index
- GLM 5V Turbo 28.8 from 1 benchmark, Kimi K2.5 58.5 from 2 benchmarks.
- Widest category
- Agentic work, 10.1 points apart on average over 6 shared benchmarks.
- Widest single gap
- Design Arena: agents building Godot games: GLM 5V Turbo 957 against Kimi K2.5 1219, 32.8 points apart on a 0 to 100 scale.
- Output price
- GLM 5V Turbo $4.00 against Kimi K2.5 $2.50 per million output tokens, 1.6x apart.
- Context window
- GLM 5V Turbo takes 203K tokens, Kimi K2.5 262K.
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 | GLM 5V Turbo | Bars | Kimi K2.5 | Ties |
|---|---|---|---|---|
| Coding | 0 | 7 | ||
| Intelligence | 0 | 0 | 1 tie | |
| Agentic work | 3 | 3 | ||
| Reasoning | 1 | 6 | ||
| Math | 0 | 2 | ||
| Knowledge | 1 | 3 | ||
| Web design | 3 | 5 | ||
| General | 5 | 21 | ||
| All shared boards | 13 | 47 | 1 tie |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index07
| Benchmark | GLM 5V Turbo | Kimi K2.5 | Leader |
|---|---|---|---|
| SWE-bench Verified | Not measured | 70.8% | Only Kimi K2.5 measured |
| SWE-bench Multilingual | Not measured | 67.3% | Only Kimi K2.5 measured |
| LMArena WebDev | 1402 | 1437 | Kimi K2.5 |
| AA Coding Index | Not measured | 46.8 | Only Kimi K2.5 measured |
| LiveCodeBench (Vals AI) | Not measured | 83.9% | Only Kimi K2.5 measured |
| SWE-bench Verified (Vals AI) | Not measured | 70.0% | Only Kimi K2.5 measured |
| Vibe Code Bench (Vals AI) | Not measured | 17.5% | Only Kimi K2.5 measured |
| Code migration (Vals AI) | Not measured | 7.0% | Only Kimi K2.5 measured |
| Terminal-Bench 2.1 (Vals AI) | Not measured | 42.0% | Only Kimi K2.5 measured |
| Terminal-Bench Hard (Artificial Analysis run) | 32.6% | 34.8% | Kimi K2.5 |
| Terminal-Bench | Not measured | 43.2% | Only Kimi K2.5 measured |
| WeirdML | Not measured | 45.6% | Only Kimi K2.5 measured |
| ALE-Bench | Not measured | 821.6 | Only Kimi K2.5 measured |
| LMArena Text: coding | 1466 | 1483 | Kimi K2.5 |
| LMArena Text: software and IT | 1460 | 1471 | Kimi K2.5 |
| LMArena WebDev: React | 1386 | 1429 | Kimi K2.5 |
| LMArena WebDev: HTML | 1356 | 1426 | Kimi K2.5 |
| LMArena WebDev: from an image | 1425 | 1439 | Kimi K2.5 |
| Neither model has a result on the other 20 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index00
| Benchmark | GLM 5V Turbo | Kimi K2.5 | Leader |
|---|---|---|---|
| AA Intelligence Index | 23.5 | 23.5 | Tie |
| Epoch Capabilities Index | Not measured | 148.1 | Only Kimi K2.5 measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index33
| Benchmark | GLM 5V Turbo | Kimi K2.5 | Leader |
|---|---|---|---|
| Design Arena: agents building web apps | 1124 | 1136 | Kimi K2.5 |
| Design Arena: agents building full-stack apps | 1149 | 1114 | GLM 5V Turbo |
| Design Arena: agents building mobile apps | 1134 | 1147 | Kimi K2.5 |
| Design Arena: agents building Android apps | 1267 | 1124 | GLM 5V Turbo |
| Design Arena: agents building Godot games | 957 | 1219 | Kimi K2.5 |
| Design Arena: agents building games | 1102 | Not measured | Only GLM 5V Turbo measured |
| Design Arena: HTML slides | 1120 | Not measured | Only GLM 5V Turbo measured |
| Design Arena: PowerPoint slides | 1152 | Not measured | Only GLM 5V Turbo measured |
| Finance Agent (Vals AI) | Not measured | 35.8% | Only Kimi K2.5 measured |
| Legal Research Bench (Vals AI) | Not measured | 15.9% | Only Kimi K2.5 measured |
| Excel Modeling Benchmark (Vals AI) | Not measured | 28.5% | Only Kimi K2.5 measured |
| τ²-Bench Telecom | 98.5% | 95.9% | GLM 5V Turbo |
| OSWorld | Not measured | 63.3% | Only Kimi K2.5 measured |
| Vending-Bench 2 | Not measured | $1,198 | Only Kimi K2.5 measured |
| Neither model has a result on the other 25 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index16
| Benchmark | GLM 5V Turbo | Kimi K2.5 | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 84.1% | Only Kimi K2.5 measured |
| MMMU Pro (Vals AI) | Not measured | 84.3% | Only Kimi K2.5 measured |
| GPQA Diamond (Artificial Analysis run) | 80.9% | 87.9% | Kimi K2.5 |
| Humanity's Last Exam (Artificial Analysis run) | 17.1% | 30.7% | Kimi K2.5 |
| ARC-AGI | Not measured | 65.3% | Only Kimi K2.5 measured |
| ARC-AGI-2 | Not measured | 11.8% | Only Kimi K2.5 measured |
| SimpleBench | Not measured | 46.8% | Only Kimi K2.5 measured |
| LMArena Text: hard prompts | 1443 | 1453 | Kimi K2.5 |
| LMArena Text: expert | 1453 | 1466 | Kimi K2.5 |
| LMArena Text: hard prompts in English | 1456 | 1460 | Kimi K2.5 |
| LMArena Vision: diagrams | 1286 | 1282 | GLM 5V Turbo |
| LMArena Vision: homework | 1273 | 1297 | Kimi K2.5 |
| Neither model has a result on the other 9 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | GLM 5V Turbo | Kimi K2.5 | Leader |
|---|---|---|---|
| AIME | Not measured | 95.6% | Only Kimi K2.5 measured |
| LMArena Text: math | 1442 | 1470 | Kimi K2.5 |
| LMArena Text: mathematical work | 1447 | 1473 | Kimi K2.5 |
| Neither model has a result on the other 10 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index13
| Benchmark | GLM 5V Turbo | Kimi K2.5 | Leader |
|---|---|---|---|
| MMLU Pro | Not measured | 85.9% | Only Kimi K2.5 measured |
| CaseLaw (Vals AI) | Not measured | 58.7% | Only Kimi K2.5 measured |
| CorpFin (Vals AI) | Not measured | 68.3% | Only Kimi K2.5 measured |
| TaxEval (Vals AI) | Not measured | 74.2% | Only Kimi K2.5 measured |
| MortgageTax (Vals AI) | Not measured | 66.5% | Only Kimi K2.5 measured |
| MedQA (Vals AI) | Not measured | 94.4% | Only Kimi K2.5 measured |
| MedCode (Vals AI) | Not measured | 39.3% | Only Kimi K2.5 measured |
| SimpleQA Verified | Not measured | 34.3% | Only Kimi K2.5 measured |
| LMArena Text: science | 1448 | 1459 | Kimi K2.5 |
| LMArena Text: medicine and healthcare | 1433 | 1448 | Kimi K2.5 |
| LMArena Text: legal and government | 1436 | 1441 | Kimi K2.5 |
| LMArena Text: business and finance | 1435 | 1427 | GLM 5V Turbo |
| Neither model has a result on the other 5 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index35
| Benchmark | GLM 5V Turbo | Kimi K2.5 | Leader |
|---|---|---|---|
| Design Arena: websites | 1230 | 1249 | Kimi K2.5 |
| Design Arena: UI components | 1213 | 1236 | Kimi K2.5 |
| Design Arena: game dev | 1219 | 1207 | GLM 5V Turbo |
| Design Arena: data viz | 1202 | 1219 | Kimi K2.5 |
| Design Arena: 3D | 1209 | 1205 | GLM 5V Turbo |
| Design Arena: all code categories | 1228 | 1236 | Kimi K2.5 |
| Design Arena: SVG | 1151 | 1149 | GLM 5V Turbo |
| Design Arena: ASCII art | 1118 | 1165 | Kimi K2.5 |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index521
| Benchmark | GLM 5V Turbo | Kimi K2.5 | Leader |
|---|---|---|---|
| SAGE (Vals AI) | Not measured | 49.9% | Only Kimi K2.5 measured |
| MedScribe (Vals AI) | Not measured | 76.4% | Only Kimi K2.5 measured |
| IFBench | 61.1% | 70.2% | Kimi K2.5 |
| Long context reasoning (AA-LCR) | 70.3% | 78.0% | Kimi K2.5 |
| Fiction.LiveBench | Not measured | 86.1% | Only Kimi K2.5 measured |
| CL-bench | Not measured | 19.3% | Only Kimi K2.5 measured |
| CL-bench Life | Not measured | 13.2% | Only Kimi K2.5 measured |
| LMArena Text | 1437 | 1445 | Kimi K2.5 |
| LMArena Text: instruction following | 1423 | 1431 | Kimi K2.5 |
| LMArena Text: creative writing | 1417 | 1422 | Kimi K2.5 |
| LMArena Vision | 1264 | 1269 | Kimi K2.5 |
| LMArena Text: English | 1454 | 1453 | GLM 5V Turbo |
| LMArena Text: non-English | 1420 | 1433 | Kimi K2.5 |
| LMArena Text: Chinese | 1491 | 1494 | Kimi K2.5 |
| LMArena Text: German | 1422 | 1441 | Kimi K2.5 |
| LMArena Text: Japanese | Not measured | 1423 | Only Kimi K2.5 measured |
| LMArena Text: Korean | 1397 | 1412 | Kimi K2.5 |
| LMArena Text: French | 1443 | 1454 | Kimi K2.5 |
| LMArena Text: Spanish | 1452 | 1450 | GLM 5V Turbo |
| LMArena Text: Russian | 1432 | 1435 | Kimi K2.5 |
| LMArena Text: Polish | 1432 | 1445 | Kimi K2.5 |
| LMArena Text: multi-turn | 1431 | 1444 | Kimi K2.5 |
| LMArena Text: longer queries | 1438 | 1445 | Kimi K2.5 |
| LMArena Text: writing and language | 1420 | 1425 | Kimi K2.5 |
| LMArena Text: entertainment and media | 1407 | 1417 | Kimi K2.5 |
| LMArena Vision: English | 1274 | 1274 | GLM 5V Turbo |
| LMArena Vision: Chinese | 1329 | 1328 | GLM 5V Turbo |
| LMArena Vision: reading text | 1270 | 1276 | Kimi K2.5 |
| LMArena Vision: humor | 1268 | 1284 | Kimi K2.5 |
| LMArena Vision: captioning | 1264 | 1257 | GLM 5V Turbo |
| LMArena Vision: recognizing things | 1241 | 1285 | Kimi K2.5 |
| LMArena Vision: creative writing | 1252 | 1269 | Kimi K2.5 |
| LMArena Document | 1416 | Not measured | Only GLM 5V Turbo 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 | GLM 5V Turbo | Kimi K2.5 | 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
Kimi K2.5 costs less
Repository review
50K input + 3K output tokens
Kimi K2.5 costs less
Agent loop
200K input + 10K output tokens
Kimi K2.5 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 | Z.ai GLM 5V Turbo | MoonshotAI Kimi K2.5 |
|---|---|---|
| Maker | Z.ai | Moonshot AI |
| Weights | No public weights listed | Open weights |
| Released | April 1, 2026 | January 27, 2026 |
| Context window | 203K | 262K |
| Input $/Mtok | $1.20 | $0.50 |
| Output $/Mtok | $4.00 | $2.50 |
| Coding index | 28.8 | 58.5 |
| Independent measurements behind it | 1 | 2 |
| Cost per solved task | Not computable | $0.24 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is GLM 5V Turbo better than Kimi K2.5 for coding?
Pick Kimi K2.5 for coding: it scores 58.5 on the Vibe Coding Index against 28.8 for GLM 5V Turbo. Pick GLM 5V Turbo when what matters is Design Arena: agents building full-stack apps or Design Arena: agents building Android apps, where it leads.
Which is cheaper, GLM 5V Turbo or Kimi K2.5?
GLM 5V Turbo costs $1.20 per million input tokens and $4.00 per million output tokens; Kimi K2.5 costs $0.50 and $2.50. Cost per solved task is known for Kimi K2.5 only.
Which has the bigger context window, GLM 5V Turbo or Kimi K2.5?
Kimi K2.5, with 262K tokens against 203K.
How many benchmarks is the GLM 5V Turbo vs Kimi K2.5 comparison based on?
61 benchmarks have a result for both models as of October 21, 2026. GLM 5V Turbo's coding index rests on 1 independent benchmark and Kimi K2.5's on 2. Where only one model has a result, the page says so instead of naming a winner.