DeepSeek V4 Pro 0813 vs GLM 5V Turbo
Updated October 21, 2026. 32 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Pick DeepSeek V4 Pro 0813 for coding: it scores 54.6 on the Vibe Coding Index against 28.8 for GLM 5V Turbo.
Pick GLM 5V Turbo when what matters is LMArena Text: math or LMArena Text: mathematical work, where it leads.
- Shared results
- 32
- DeepSeek V4 Pro 0813 only
- 46
- GLM 5V Turbo only
- 33
- Like-for-like categories
- 6 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
DeepSeek V4 Pro 0813
DeepSeek V4 Pro 0813 scores 54.6 against 28.8.
One benchmark behind each score
Intelligence
AA Intelligence Index
DeepSeek V4 Pro 0813
DeepSeek V4 Pro 0813 leads, 36.0 against 23.5.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only DeepSeek V4 Pro 0813 has a AA Agentic Index result, 41.3.
Directional only
Reasoning
GPQA Diamond
No call
Only DeepSeek V4 Pro 0813 has a GPQA Diamond result, 92.4%.
Directional only
Knowledge
MMLU Pro
No call
Only DeepSeek V4 Pro 0813 has a MMLU Pro result, 87.0%.
Directional only
Web design
Design Arena: websites
No call
Only GLM 5V Turbo has a Design Arena: websites result, 1230.
Directional only
General
Vals Index
No call
Only DeepSeek V4 Pro 0813 has a Vals Index result, 53.0%.
Directional only
Long documents
Listed context window
DeepSeek V4 Pro 0813
DeepSeek V4 Pro 0813 takes 1.05M tokens against 203K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
DeepSeek V4 Pro 0813
DeepSeek V4 Pro 0813 $0.0016, GLM 5V Turbo $0.0032 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only DeepSeek V4 Pro 0813 has the number, $0.10.
Directional only
At a glance
- Coding index
- DeepSeek V4 Pro 0813 54.6 from 1 benchmark, GLM 5V Turbo 28.8 from 1 benchmark.
- Widest category
- Coding, 19.0 points apart on average over 5 shared benchmarks.
- Widest single gap
- LMArena WebDev: HTML: DeepSeek V4 Pro 0813 1566 against GLM 5V Turbo 1356, 34.9 points apart on a 0 to 100 scale.
- Output price
- DeepSeek V4 Pro 0813 $1.98 against GLM 5V Turbo $4.00 per million output tokens, 2.0x apart.
- Context window
- DeepSeek V4 Pro 0813 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 | DeepSeek V4 Pro 0813 | Bars | GLM 5V Turbo | Ties |
|---|---|---|---|---|
| Coding | 5 | 0 | ||
| Intelligence | 1 | 0 | ||
| Reasoning | 5 | 0 | ||
| Math | 0 | 2 | ||
| Knowledge | 4 | 0 | ||
| General | 13 | 2 | ||
| All shared boards | 28 | 4 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index50
| Benchmark | DeepSeek V4 Pro 0813 | GLM 5V Turbo | Leader |
|---|---|---|---|
| LMArena WebDev | 1582 | 1402 | DeepSeek V4 Pro 0813 |
| AA Coding Index | 68.8 | Not measured | Only DeepSeek V4 Pro 0813 measured |
| LiveCodeBench (Vals AI) | 87.5% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| SWE-bench Verified (Vals AI) | 96.4% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| Terminal-Bench 4 (Vals AI) | 14.1% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| Vibe Code Bench (Vals AI) | 82.3% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| Code migration (Vals AI) | 41.5% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| ProgramBench (Vals AI) | 0.0% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| IOI (Vals AI) | 51.6% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| Terminal-Bench 2.1 (Vals AI) | 54.7% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| Vibe Code Bench 1-100 (Vals AI) | 17.5% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| SkillsBench (Vals AI) | 53.8% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| CyberBench (Vals AI) | 72.9% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| SciCode | 51.0% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 32.6% | Only GLM 5V Turbo measured |
| FrontierCode | 28.5% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| WeirdML | 66.2% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| ALE-Bench | 1403.2 | Not measured | Only DeepSeek V4 Pro 0813 measured |
| LMArena Text: coding | 1469 | 1466 | DeepSeek V4 Pro 0813 |
| LMArena Text: software and IT | 1462 | 1460 | DeepSeek V4 Pro 0813 |
| LMArena WebDev: React | 1588 | 1386 | DeepSeek V4 Pro 0813 |
| LMArena WebDev: HTML | 1566 | 1356 | DeepSeek V4 Pro 0813 |
| LMArena WebDev: from an image | Not measured | 1425 | Only GLM 5V Turbo measured |
| Neither model has a result on the other 15 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | DeepSeek V4 Pro 0813 | GLM 5V Turbo | Leader |
|---|---|---|---|
| AA Intelligence Index | 36.0 | 23.5 | DeepSeek V4 Pro 0813 |
| Epoch Capabilities Index | 155.6 | Not measured | Only DeepSeek V4 Pro 0813 measured |
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index18 boards, none shared
| Benchmark | DeepSeek V4 Pro 0813 | GLM 5V Turbo | Leader |
|---|---|---|---|
| AA Agentic Index | 41.3 | Not measured | Only DeepSeek V4 Pro 0813 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 |
| SREBench (Vals AI) | 1.9% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| Finance Agent (Vals AI) | 50.4% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| Tax Agent Bench (Vals AI) | 26.8% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| Legal Research Bench (Vals AI) | 40.9% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| Harvey's Legal Agent Benchmark (Vals AI) | 10.8% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| Excel Modeling Benchmark (Vals AI) | 52.8% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| Terminal-Bench-Science (Vals AI) | 4.3% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| τ²-Bench Telecom | Not measured | 98.5% | Only GLM 5V Turbo measured |
| APEX-Agents | 47.3% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| Neither model has a result on the other 21 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index50
| Benchmark | DeepSeek V4 Pro 0813 | GLM 5V Turbo | Leader |
|---|---|---|---|
| GPQA Diamond | 92.4% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| GPQA Diamond (Artificial Analysis run) | 92.8% | 80.9% | DeepSeek V4 Pro 0813 |
| Humanity's Last Exam (Artificial Analysis run) | 41.0% | 17.1% | DeepSeek V4 Pro 0813 |
| GPQA Diamond (Epoch AI run) | 91.7% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| ARC-AGI | 90.5% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| ARC-AGI-2 | 61.3% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| Chess puzzles | 46.0% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| Mystery game puzzles | 43.0% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| LMArena Text: hard prompts | 1458 | 1443 | DeepSeek V4 Pro 0813 |
| LMArena Text: expert | 1459 | 1453 | DeepSeek V4 Pro 0813 |
| LMArena Text: hard prompts in English | 1463 | 1456 | DeepSeek V4 Pro 0813 |
| LMArena Vision: diagrams | Not measured | 1286 | Only GLM 5V Turbo measured |
| LMArena Vision: homework | Not measured | 1273 | Only GLM 5V Turbo measured |
| Neither model has a result on the other 8 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | DeepSeek V4 Pro 0813 | GLM 5V Turbo | Leader |
|---|---|---|---|
| OTIS Mock AIME | 98.6% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| FrontierMath, tiers 1 to 3 | 64.6% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| FrontierMath, tier 4 | 26.8% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| ProofBench | 50.0% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| LMArena Text: math | 1441 | 1442 | GLM 5V Turbo |
| LMArena Text: mathematical work | 1443 | 1447 | GLM 5V Turbo |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | DeepSeek V4 Pro 0813 | GLM 5V Turbo | Leader |
|---|---|---|---|
| MMLU Pro | 87.0% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| LegalBench (Vals AI) | 82.4% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| CorpFin (Vals AI) | 65.4% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| TaxEval (Vals AI) | 73.1% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| MedCode (Vals AI) | 42.5% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| SimpleQA Verified | 52.9% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| LMArena Text: science | 1457 | 1448 | DeepSeek V4 Pro 0813 |
| LMArena Text: medicine and healthcare | 1446 | 1433 | DeepSeek V4 Pro 0813 |
| LMArena Text: legal and government | 1459 | 1436 | DeepSeek V4 Pro 0813 |
| LMArena Text: business and finance | 1442 | 1435 | DeepSeek V4 Pro 0813 |
| Neither model has a result on the other 7 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
| Benchmark | DeepSeek V4 Pro 0813 | GLM 5V Turbo | Leader |
|---|---|---|---|
| Design Arena: websites | Not measured | 1230 | Only GLM 5V Turbo measured |
| Design Arena: UI components | Not measured | 1213 | Only GLM 5V Turbo measured |
| Design Arena: game dev | Not measured | 1219 | Only GLM 5V Turbo measured |
| Design Arena: data viz | Not measured | 1202 | Only GLM 5V Turbo measured |
| Design Arena: 3D | Not measured | 1209 | Only GLM 5V Turbo measured |
| Design Arena: all code categories | Not measured | 1228 | Only GLM 5V Turbo measured |
| Design Arena: SVG | Not measured | 1151 | Only GLM 5V Turbo measured |
| 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 index132
| Benchmark | DeepSeek V4 Pro 0813 | GLM 5V Turbo | Leader |
|---|---|---|---|
| Vals Index | 53.0% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| MedScribe (Vals AI) | 80.2% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| IFBench | Not measured | 61.1% | Only GLM 5V Turbo measured |
| Long context reasoning (AA-LCR) | 80.3% | 70.3% | DeepSeek V4 Pro 0813 |
| DTBench | 93.9% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| LMCA | 45.5% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| LMArena Text | 1446 | 1437 | DeepSeek V4 Pro 0813 |
| LMArena Text: instruction following | 1448 | 1423 | DeepSeek V4 Pro 0813 |
| LMArena Text: creative writing | 1439 | 1417 | DeepSeek V4 Pro 0813 |
| LMArena Vision | Not measured | 1264 | Only GLM 5V Turbo measured |
| LMArena Text: English | 1457 | 1454 | DeepSeek V4 Pro 0813 |
| LMArena Text: non-English | 1431 | 1420 | DeepSeek V4 Pro 0813 |
| LMArena Text: Chinese | 1481 | 1491 | GLM 5V Turbo |
| LMArena Text: German | Not measured | 1422 | Only GLM 5V Turbo measured |
| LMArena Text: Korean | 1449 | 1397 | DeepSeek V4 Pro 0813 |
| LMArena Text: French | 1446 | 1443 | DeepSeek V4 Pro 0813 |
| LMArena Text: Spanish | 1435 | 1452 | GLM 5V Turbo |
| LMArena Text: Russian | 1448 | 1432 | DeepSeek V4 Pro 0813 |
| LMArena Text: Polish | Not measured | 1432 | Only GLM 5V Turbo measured |
| LMArena Text: multi-turn | 1454 | 1431 | DeepSeek V4 Pro 0813 |
| LMArena Text: longer queries | 1458 | 1438 | DeepSeek V4 Pro 0813 |
| LMArena Text: writing and language | 1443 | 1420 | DeepSeek V4 Pro 0813 |
| LMArena Text: entertainment and media | 1424 | 1407 | DeepSeek V4 Pro 0813 |
| LMArena Vision: English | Not measured | 1274 | Only GLM 5V Turbo measured |
| LMArena Vision: Chinese | Not measured | 1329 | Only GLM 5V Turbo measured |
| LMArena Vision: reading text | Not measured | 1270 | Only GLM 5V Turbo measured |
| LMArena Vision: humor | Not measured | 1268 | Only GLM 5V Turbo measured |
| 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 | Not measured | 1252 | Only GLM 5V Turbo measured |
| 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 | DeepSeek V4 Pro 0813 | 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
DeepSeek V4 Pro 0813 costs less
Repository review
50K input + 3K output tokens
DeepSeek V4 Pro 0813 costs less
Agent loop
200K input + 10K output tokens
DeepSeek V4 Pro 0813 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 | DeepSeek V4 Pro 0813 | Z.ai GLM 5V Turbo |
|---|---|---|
| Maker | DeepSeek | Z.ai |
| Weights | Open weights | No public weights listed |
| Released | August 12, 2026 | April 1, 2026 |
| Context window | 1.05M | 203K |
| Input $/Mtok | $0.66 | $1.20 |
| Output $/Mtok | $1.98 | $4.00 |
| Coding index | 54.6 | 28.8 |
| Independent measurements behind it | 1 | 1 |
| Cost per solved task | $0.10 | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is DeepSeek V4 Pro 0813 better than GLM 5V Turbo for coding?
Pick DeepSeek V4 Pro 0813 for coding: it scores 54.6 on the Vibe Coding Index against 28.8 for GLM 5V Turbo. Pick GLM 5V Turbo when what matters is LMArena Text: math or LMArena Text: mathematical work, where it leads.
Which is cheaper, DeepSeek V4 Pro 0813 or GLM 5V Turbo?
DeepSeek V4 Pro 0813 costs $0.66 per million input tokens and $1.98 per million output tokens; GLM 5V Turbo costs $1.20 and $4.00. Cost per solved task is known for DeepSeek V4 Pro 0813 only.
Which has the bigger context window, DeepSeek V4 Pro 0813 or GLM 5V Turbo?
DeepSeek V4 Pro 0813, with 1.05M tokens against 203K.
How many benchmarks is the DeepSeek V4 Pro 0813 vs GLM 5V Turbo comparison based on?
32 benchmarks have a result for both models as of October 21, 2026. DeepSeek V4 Pro 0813'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.