GLM 5 Turbo vs Nemotron 3.5 Super VL
GLM 5 Turbo leads Nemotron 3.5 Super VL on the Artificial Analysis Intelligence Index, 26.6 to 26.5, and Nemotron 3.5 Super VL costs 8.0x less per output token ($0.50 vs $4.00 per million). Updated October 22, 2026; 8 benchmarks have a result for both.
GLM 5 Turbo or Nemotron 3.5 Super VL: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Pick GLM 5 Turbo for work measured by Humanity's Last Exam (Artificial Analysis run), where it leads.
- Shared results
- 8
- GLM 5 Turbo only
- 8
- Nemotron 3.5 Super VL only
- 8
- Like-for-like categories
- 4 of 9
Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.
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, six public coding benchmarks
No call
Neither has a coding score yet.
One side not measured
Intelligence
AA Intelligence Index
GLM 5 Turbo
GLM 5 Turbo leads, 26.6 against 26.5.
Same board, both measured
Web design
Design Arena: websites
GLM 5 Turbo
GLM 5 Turbo leads, 1262 against 1173.
Same board, both measured
Long documents
Listed context window
Nemotron 3.5 Super VL
Nemotron 3.5 Super VL takes 1.05M tokens against 203K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Nemotron 3.5 Super VL
GLM 5 Turbo $0.0032, Nemotron 3.5 Super VL $0.0004 per turn.
List prices
At a glance
- Coding index
- GLM 5 Turbo not benchmarked, Nemotron 3.5 Super VL not benchmarked.
- Widest category
- Web design, 14.1 points apart on average over 5 shared benchmarks.
- Widest single gap
- Design Arena: game dev: GLM 5 Turbo 1248 against Nemotron 3.5 Super VL 1110, 17.3 points apart on a 0 to 100 scale.
- Output price
- GLM 5 Turbo $4.00 against Nemotron 3.5 Super VL $0.50 per million output tokens, 8.0x apart.
- Context window
- GLM 5 Turbo takes 203K tokens, Nemotron 3.5 Super VL 1.05M.
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 5 Turbo | Bars | Nemotron 3.5 Super VL | Ties |
|---|---|---|---|---|
| Intelligence | 1 | 0 | ||
| Reasoning | 0 | 1 | ||
| Web design | 5 | 0 | ||
| General | 1 | 0 | ||
| All shared boards | 7 | 1 |
CodingDirectional onlySix of these boards feed the Vibe Coding Index4 boards, none shared
| Benchmark | GLM 5 Turbo | Nemotron 3.5 Super VL | Leader |
|---|---|---|---|
| LiveBench coding | Not measured | 65.5% | Only Nemotron 3.5 Super VL measured |
| SciCode | Not measured | 47.8% | Only Nemotron 3.5 Super VL measured |
| Terminal-Bench Hard (Artificial Analysis run) | 33.3% | Not measured | Only GLM 5 Turbo measured |
| ALE-Bench | 634.0 | Not measured | Only GLM 5 Turbo measured |
| Neither model has a result on the other 39 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | GLM 5 Turbo | Nemotron 3.5 Super VL | Leader |
|---|---|---|---|
| AA Intelligence Index | 26.6 | 26.5 | GLM 5 Turbo |
| Neither model has a result on the other 1 board here | |||
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index4 boards, none shared
| Benchmark | GLM 5 Turbo | Nemotron 3.5 Super VL | Leader |
|---|---|---|---|
| LiveBench research | Not measured | 70.9% | Only Nemotron 3.5 Super VL measured |
| LiveBench browser | Not measured | 4.0% | Only Nemotron 3.5 Super VL measured |
| LiveBench long agentic | Not measured | 15.8% | Only Nemotron 3.5 Super VL measured |
| τ²-Bench Telecom | 98.5% | Not measured | Only GLM 5 Turbo measured |
| Neither model has a result on the other 38 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | GLM 5 Turbo | Nemotron 3.5 Super VL | Leader |
|---|---|---|---|
| LiveBench reasoning | Not measured | 78.8% | Only Nemotron 3.5 Super VL measured |
| GPQA Diamond (Artificial Analysis run) | 84.7% | Not measured | Only GLM 5 Turbo measured |
| Humanity's Last Exam (Artificial Analysis run) | 27.8% | 30.7% | Nemotron 3.5 Super VL |
| Neither model has a result on the other 20 boards here | |||
MathNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | GLM 5 Turbo | Nemotron 3.5 Super VL | Leader |
|---|---|---|---|
| Neither model has a result on 14 boards here | |||
KnowledgeNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | GLM 5 Turbo | Nemotron 3.5 Super VL | Leader |
|---|---|---|---|
| Neither model has a result on 20 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index50
| Benchmark | GLM 5 Turbo | Nemotron 3.5 Super VL | Leader |
|---|---|---|---|
| Design Arena: websites | 1262 | 1173 | GLM 5 Turbo |
| Design Arena: UI components | 1260 | 1149 | GLM 5 Turbo |
| Design Arena: game dev | 1248 | 1110 | GLM 5 Turbo |
| Design Arena: data viz | 1264 | Not measured | Only GLM 5 Turbo measured |
| Design Arena: 3D | 1247 | 1128 | GLM 5 Turbo |
| Design Arena: all code categories | 1261 | 1154 | GLM 5 Turbo |
| Design Arena: SVG | 1205 | Not measured | Only GLM 5 Turbo measured |
| Design Arena: ASCII art | 1160 | Not measured | Only GLM 5 Turbo measured |
| LiveBench design | Not measured | 60.7% | Only Nemotron 3.5 Super VL measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | GLM 5 Turbo | Nemotron 3.5 Super VL | Leader |
|---|---|---|---|
| LiveBench data analysis | Not measured | 64.6% | Only Nemotron 3.5 Super VL measured |
| IFBench | 73.2% | Not measured | Only GLM 5 Turbo measured |
| Long context reasoning (AA-LCR) | 71.7% | 69.0% | GLM 5 Turbo |
| Neither model has a result on the other 45 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | GLM 5 Turbo | Nemotron 3.5 Super VL | 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
Nemotron 3.5 Super VL costs less
Repository review
50K input + 3K output tokens
Nemotron 3.5 Super VL costs less
Agent loop
200K input + 10K output tokens
Nemotron 3.5 Super VL 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 5 Turbo | NVIDIA Nemotron 3.5 Super VL |
|---|---|---|
| Maker | Z.ai | NVIDIA |
| Weights | No public weights listed | Open weights |
| Released | March 15, 2026 | October 15, 2026 |
| Context window | 203K | 1.05M |
| Input $/Mtok | $1.20 | $0.15 |
| Output $/Mtok | $4.00 | $0.50 |
| Coding index | Not benchmarked | Not benchmarked |
| Independent measurements behind it | 0 | 1 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is GLM 5 Turbo better than Nemotron 3.5 Super VL for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick GLM 5 Turbo for work measured by Humanity's Last Exam (Artificial Analysis run), where it leads.
Which is cheaper, GLM 5 Turbo or Nemotron 3.5 Super VL?
GLM 5 Turbo costs $1.20 per million input tokens and $4.00 per million output tokens; Nemotron 3.5 Super VL costs $0.15 and $0.50. Cost per solved task is known for neither of them.
Which has the bigger context window, GLM 5 Turbo or Nemotron 3.5 Super VL?
Nemotron 3.5 Super VL, with 1.05M tokens against 203K.
How many benchmarks is the GLM 5 Turbo vs Nemotron 3.5 Super VL comparison based on?
8 benchmarks have a result for both models as of October 22, 2026. GLM 5 Turbo's coding index rests on 0 independent benchmarks and Nemotron 3.5 Super VL's on 1. Where only one model has a result, the page says so instead of naming a winner.