GLM 4.7 vs Nemotron 3.5 Lightning

GLM 4.7 leads Nemotron 3.5 Lightning on coding, 55.1 to 22.6 on the Vibe Coding Index, and Nemotron 3.5 Lightning costs 15.0x less per output token ($0.147 vs $2.20 per million). Updated October 22, 2026; 9 benchmarks have a result for both.

Replace GLM 4.7 Replace Nemotron 3.5 Lightning

GLM 4.7Z.ai

Coding: 55.1
Overall: 56.9
Output $/M: $2.20

Nemotron 3.5 LightningNVIDIA

Coding: 22.6
Overall: No data
Output $/M: $0.147

vs boards won of 9 shared

GLM 4.7 or Nemotron 3.5 Lightning: which to pick

Pick GLM 4.7 for coding: it scores 55.1 on the Vibe Coding Index against 22.6 for Nemotron 3.5 Lightning.

Pick Nemotron 3.5 Lightning for output tokens 15.0x cheaper ($0.147 vs $2.20 per million) and a lower cost per solved task ($0.06 against $0.29).

Model AGLM 4.7Z.ai55.1/1002 independent benchmarks$0.29 per solved task Model BNemotron 3.5 LightningNVIDIA22.6/1002 independent benchmarks$0.06 per solved task

97211

Shared results: 9
GLM 4.7 only: 72
Nemotron 3.5 Lightning only: 11
Like-for-like categories: 5 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
GLM 4.7
GLM 4.7 scores 55.1 against 22.6.
2 benchmarks behind each score
Intelligence
AA Intelligence Index
GLM 4.7
GLM 4.7 leads, 22.2 against 12.9.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Nemotron 3.5 Lightning has a AA Agentic Index result, 3.5.
Directional only
Reasoning
GPQA Diamond
No call
Only GLM 4.7 has a GPQA Diamond result, 80.0%.
Directional only
Math
AIME
No call
Only GLM 4.7 has a AIME result, 93.3%.
Directional only
Knowledge
MMLU Pro
No call
Only GLM 4.7 has a MMLU Pro result, 82.7%.
Directional only
Web design
Design Arena: websites
No call
Only GLM 4.7 has a Design Arena: websites result, 1225.
Directional only
Long documents
Listed context window
Nemotron 3.5 Lightning
Nemotron 3.5 Lightning takes 262K tokens against 205K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Nemotron 3.5 Lightning
GLM 4.7 $0.0017, Nemotron 3.5 Lightning $0.0001 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
Nemotron 3.5 Lightning
GLM 4.7 $0.29, Nemotron 3.5 Lightning $0.06.
Published attempt cost and pass rate

At a glance

Coding index: GLM 4.7 55.1 from 2 benchmarks, Nemotron 3.5 Lightning 22.6 from 2 benchmarks.
Widest category: General, 37.5 points apart on average over 2 shared benchmarks.
Widest single gap: MedScribe (Vals AI): GLM 4.7 68.6% against Nemotron 3.5 Lightning 4.3%, 64.4 points apart on a 0 to 100 scale.
Output price: GLM 4.7 $2.20 against Nemotron 3.5 Lightning $0.147 per million output tokens, 15.0x apart.
Context window: GLM 4.7 takes 205K tokens, Nemotron 3.5 Lightning 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.

Boards won, where both have a result
Category	GLM 4.7	Nemotron 3.5 Lightning
Coding	2	1
Intelligence	1	0
Reasoning	2	0
Knowledge	0	1
General	2	0
All shared boards	7	2

CodingLike-for-likeSix of these boards feed the Vibe Coding Index21

Coding benchmarks for GLM 4.7 and Nemotron 3.5 Lightning
Benchmark	GLM 4.7	Nemotron 3.5 Lightning	Leader
LMArena WebDev	1435	Not measured	Only GLM 4.7 measured
AA Coding Index	45.3	26.8	GLM 4.7
LiveCodeBench (Vals AI)	82.2%	Not measured	Only GLM 4.7 measured
SWE-bench Verified (Vals AI)	69.4%	52.8%	GLM 4.7
Vibe Code Bench (Vals AI)	Not measured	0.0%	Only Nemotron 3.5 Lightning measured
Code migration (Vals AI)	Not measured	3.0%	Only Nemotron 3.5 Lightning measured
ProgramBench (Vals AI)	Not measured	0.0%	Only Nemotron 3.5 Lightning measured
Terminal-Bench 2.1 (Vals AI)	Not measured	10.9%	Only Nemotron 3.5 Lightning measured
CyberBench (Vals AI)	Not measured	29.5%	Only Nemotron 3.5 Lightning measured
LiveCodeBench (Artificial Analysis run)	89.4%	Not measured	Only GLM 4.7 measured
SciCode	Not measured	32.1%	Only Nemotron 3.5 Lightning measured
Terminal-Bench Hard (Artificial Analysis run)	31.8%	Not measured	Only GLM 4.7 measured
Terminal-Bench	33.4%	Not measured	Only GLM 4.7 measured
ALE-Bench	399.5	769.2	Nemotron 3.5 Lightning
LMArena Text: coding	1454	Not measured	Only GLM 4.7 measured
LMArena Text: software and IT	1453	Not measured	Only GLM 4.7 measured
LMArena WebDev: React	1420	Not measured	Only GLM 4.7 measured
LMArena WebDev: HTML	1447	Not measured	Only GLM 4.7 measured
Neither model has a result on the other 21 boards here

IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10

Intelligence benchmarks for GLM 4.7 and Nemotron 3.5 Lightning
Benchmark	GLM 4.7	Nemotron 3.5 Lightning	Leader
AA Intelligence Index	22.2	12.9	GLM 4.7
Epoch Capabilities Index	143.6	Not measured	Only GLM 4.7 measured

Agentic workDirectional onlyPublic boards, shown as published, kept out of the index12 boards, none shared

Agentic work benchmarks for GLM 4.7 and Nemotron 3.5 Lightning
Benchmark	GLM 4.7	Nemotron 3.5 Lightning	Leader
AA Agentic Index	Not measured	3.5	Only Nemotron 3.5 Lightning measured
Design Arena: agents building full-stack apps	1050	Not measured	Only GLM 4.7 measured
Design Arena: agents building mobile apps	1105	Not measured	Only GLM 4.7 measured
Design Arena: agents building Android apps	1112	Not measured	Only GLM 4.7 measured
Design Arena: agents building Godot games	1058	Not measured	Only GLM 4.7 measured
Finance Agent (Vals AI)	Not measured	18.5%	Only Nemotron 3.5 Lightning measured
Tax Agent Bench (Vals AI)	Not measured	2.6%	Only Nemotron 3.5 Lightning measured
Legal Research Bench (Vals AI)	Not measured	2.9%	Only Nemotron 3.5 Lightning measured
Excel Modeling Benchmark (Vals AI)	Not measured	17.0%	Only Nemotron 3.5 Lightning measured
τ²-Bench Telecom	95.9%	Not measured	Only GLM 4.7 measured
Vending-Bench 2	$2,377	Not measured	Only GLM 4.7 measured
BrowseComp-Plus	64.7%	Not measured	Only GLM 4.7 measured
Neither model has a result on the other 29 boards here

ReasoningLike-for-likePublic boards, shown as published, kept out of the index20

Reasoning benchmarks for GLM 4.7 and Nemotron 3.5 Lightning
Benchmark	GLM 4.7	Nemotron 3.5 Lightning	Leader
GPQA Diamond	80.0%	Not measured	Only GLM 4.7 measured
GPQA Diamond (Artificial Analysis run)	85.9%	74.3%	GLM 4.7
Humanity's Last Exam (Artificial Analysis run)	27.4%	10.6%	GLM 4.7
GPQA Diamond (Epoch AI run)	83.3%	Not measured	Only GLM 4.7 measured
SimpleBench	47.7%	Not measured	Only GLM 4.7 measured
Chess puzzles	21.0%	Not measured	Only GLM 4.7 measured
LMArena Text: hard prompts	1443	Not measured	Only GLM 4.7 measured
LMArena Text: expert	1424	Not measured	Only GLM 4.7 measured
LMArena Text: hard prompts in English	1452	Not measured	Only GLM 4.7 measured
Neither model has a result on the other 13 boards here

MathDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared

Math benchmarks for GLM 4.7 and Nemotron 3.5 Lightning
Benchmark	GLM 4.7	Nemotron 3.5 Lightning	Leader
AIME	93.3%	Not measured	Only GLM 4.7 measured
MGSM (Vals AI)	88.2%	Not measured	Only GLM 4.7 measured
AA Math Index	95.0	Not measured	Only GLM 4.7 measured
AIME 2025 (Artificial Analysis run)	95.0%	Not measured	Only GLM 4.7 measured
OTIS Mock AIME	83.3%	Not measured	Only GLM 4.7 measured
ProofBench	6.0%	Not measured	Only GLM 4.7 measured
LMArena Text: math	1424	Not measured	Only GLM 4.7 measured
LMArena Text: mathematical work	1411	Not measured	Only GLM 4.7 measured
Neither model has a result on the other 5 boards here

KnowledgeLike-for-likePublic boards, shown as published, kept out of the index01

Knowledge benchmarks for GLM 4.7 and Nemotron 3.5 Lightning
Benchmark	GLM 4.7	Nemotron 3.5 Lightning	Leader
MMLU Pro	82.7%	Not measured	Only GLM 4.7 measured
LegalBench (Vals AI)	83.4%	Not measured	Only GLM 4.7 measured
CaseLaw (Vals AI)	54.9%	Not measured	Only GLM 4.7 measured
CorpFin (Vals AI)	46.4%	54.2%	Nemotron 3.5 Lightning
TaxEval (Vals AI)	68.8%	Not measured	Only GLM 4.7 measured
MedQA (Vals AI)	93.7%	Not measured	Only GLM 4.7 measured
MedCode (Vals AI)	32.8%	Not measured	Only GLM 4.7 measured
MMLU Pro (Artificial Analysis run)	85.6%	Not measured	Only GLM 4.7 measured
SimpleQA Verified	32.2%	Not measured	Only GLM 4.7 measured
LMArena Text: science	1457	Not measured	Only GLM 4.7 measured
LMArena Text: medicine and healthcare	1469	Not measured	Only GLM 4.7 measured
LMArena Text: legal and government	1444	Not measured	Only GLM 4.7 measured
LMArena Text: business and finance	1429	Not measured	Only GLM 4.7 measured
Neither model has a result on the other 5 boards here

Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared

Web design benchmarks for GLM 4.7 and Nemotron 3.5 Lightning
Benchmark	GLM 4.7	Nemotron 3.5 Lightning	Leader
Design Arena: websites	1225	Not measured	Only GLM 4.7 measured
Design Arena: UI components	1196	Not measured	Only GLM 4.7 measured
Design Arena: game dev	1188	Not measured	Only GLM 4.7 measured
Design Arena: data viz	1195	Not measured	Only GLM 4.7 measured
Design Arena: 3D	1190	Not measured	Only GLM 4.7 measured
Design Arena: all code categories	1216	Not measured	Only GLM 4.7 measured
Design Arena: SVG	1142	Not measured	Only GLM 4.7 measured
Design Arena: ASCII art	1165	Not measured	Only GLM 4.7 measured
Neither model has a result on the other 1 board here

GeneralLike-for-likePublic boards, shown as published, kept out of the index20

General benchmarks for GLM 4.7 and Nemotron 3.5 Lightning
Benchmark	GLM 4.7	Nemotron 3.5 Lightning	Leader
MedScribe (Vals AI)	68.6%	4.3%	GLM 4.7
IFBench	67.9%	Not measured	Only GLM 4.7 measured
Long context reasoning (AA-LCR)	71.0%	60.3%	GLM 4.7
CL-bench	15.9%	Not measured	Only GLM 4.7 measured
CL-bench Life	10.9%	Not measured	Only GLM 4.7 measured
LMArena Text	1435	Not measured	Only GLM 4.7 measured
LMArena Text: instruction following	1412	Not measured	Only GLM 4.7 measured
LMArena Text: creative writing	1401	Not measured	Only GLM 4.7 measured
LMArena Text: English	1453	Not measured	Only GLM 4.7 measured
LMArena Text: non-English	1417	Not measured	Only GLM 4.7 measured
LMArena Text: Chinese	1495	Not measured	Only GLM 4.7 measured
LMArena Text: German	1426	Not measured	Only GLM 4.7 measured
LMArena Text: Japanese	1439	Not measured	Only GLM 4.7 measured
LMArena Text: Korean	1399	Not measured	Only GLM 4.7 measured
LMArena Text: French	1432	Not measured	Only GLM 4.7 measured
LMArena Text: Spanish	1434	Not measured	Only GLM 4.7 measured
LMArena Text: Russian	1423	Not measured	Only GLM 4.7 measured
LMArena Text: Polish	1435	Not measured	Only GLM 4.7 measured
LMArena Text: multi-turn	1446	Not measured	Only GLM 4.7 measured
LMArena Text: longer queries	1432	Not measured	Only GLM 4.7 measured
LMArena Text: writing and language	1411	Not measured	Only GLM 4.7 measured
LMArena Text: entertainment and media	1400	Not measured	Only GLM 4.7 measured
Neither model has a result on the other 24 boards here

Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared

Image generation benchmarks for GLM 4.7 and Nemotron 3.5 Lightning
Benchmark	GLM 4.7	Nemotron 3.5 Lightning	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

GLM 4.7$0.0017Fits in one request

Nemotron 3.5 Lightning$0.0001Fits in one request

Nemotron 3.5 Lightning costs less

Repository review

50K input + 3K output tokens

GLM 4.7$0.037Fits in one request

Nemotron 3.5 Lightning$0.0031Fits in one request

Nemotron 3.5 Lightning costs less

Agent loop

200K input + 10K output tokens

GLM 4.7$0.142Exceeds the context window

Nemotron 3.5 Lightning$0.012Fits in one request

Nemotron 3.5 Lightning 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.

Specifications of GLM 4.7 and Nemotron 3.5 Lightning
Specification	Z.ai GLM 4.7	NVIDIA Nemotron 3.5 Lightning
Maker	Z.ai	NVIDIA
Weights	Open weights	Open weights
Released	December 22, 2025	August 11, 2026
Context window	205K	262K
Input $/Mtok	$0.60	$0.0534
Output $/Mtok	$2.20	$0.147
Coding index	55.1	22.6
Independent measurements behind it	2	2
Cost per solved task	$0.29	$0.06
Source	OpenRouter listing	OpenRouter listing

Questions

Is GLM 4.7 better than Nemotron 3.5 Lightning for coding?

Pick GLM 4.7 for coding: it scores 55.1 on the Vibe Coding Index against 22.6 for Nemotron 3.5 Lightning. Pick Nemotron 3.5 Lightning for output tokens 15.0x cheaper ($0.147 vs $2.20 per million) and a lower cost per solved task ($0.06 against $0.29).

Which is cheaper, GLM 4.7 or Nemotron 3.5 Lightning?

GLM 4.7 costs $0.60 per million input tokens and $2.20 per million output tokens; Nemotron 3.5 Lightning costs $0.0534 and $0.147. Per solved SWE-bench Verified task, GLM 4.7 costs $0.29 and Nemotron 3.5 Lightning $0.06.

Which has the bigger context window, GLM 4.7 or Nemotron 3.5 Lightning?

Nemotron 3.5 Lightning, with 262K tokens against 205K.

How many benchmarks is the GLM 4.7 vs Nemotron 3.5 Lightning comparison based on?

9 benchmarks have a result for both models as of October 22, 2026. GLM 4.7's coding index rests on 2 independent benchmarks and Nemotron 3.5 Lightning's on 2. Where only one model has a result, the page says so instead of naming a winner.

Compare next

Embed this comparison on your site

Free under CC BY 4.0, while the source link stays visible. Preview the frame · Terms and other embeds

<iframe src="https://llmbenchmark.ai/embed/compare/glm-4-7-vs-nvidia-nemotron-3-5-lightning" title="GLM 4.7 vs Nemotron 3.5 Lightning, LLMBenchmark.ai" width="100%" height="360" style="border:0;max-width:100%" loading="lazy"></iframe>
<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/glm-4-7-vs-nvidia-nemotron-3-5-lightning">LLMBenchmark.ai, GLM 4.7 vs Nemotron 3.5 Lightning</a></p>

GLM 4.7 or Nemotron 3.5 Lightning: which to pick

Which one for your work

Coding

Intelligence

Agentic work

Reasoning

Math

Knowledge

Web design

Long documents

Everyday cost

Cost per solved task

At a glance

Benchmark by benchmark

What each workload costs

Chat turn

Repository review

Agent loop

Specification differences

Questions

Compare next