Gemini 3.1 Pro Preview vs GLM 4.7

GLM 4.7 leads Gemini 3.1 Pro Preview on coding, 55.1 to 32.3 on the Vibe Coding Index, and GLM 4.7 costs 5.5x less per output token ($2.20 vs $12.00 per million). Updated October 22, 2026; 74 benchmarks have a result for both.

Replace Gemini 3.1 Pro Preview Replace GLM 4.7

Gemini 3.1 Pro PreviewGoogle

Coding: 32.3
Overall: 54.0
Output $/M: $12.00

GLM 4.7Z.ai

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

vs boards won of 74 shared

Gemini 3.1 Pro Preview or GLM 4.7: which to pick

Pick GLM 4.7 for coding: it scores 55.1 on the Vibe Coding Index against 32.3 for Gemini 3.1 Pro Preview, though on 2 benchmarks against 4.

Pick Gemini 3.1 Pro Preview for a larger context window (1.05M against 205K tokens) and work measured by LMArena WebDev or AA Coding Index, where it leads.

Model AGemini 3.1 Pro PreviewGoogle32.3/1004 independent benchmarks$0.99 per solved task Model BGLM 4.7Z.ai55.1/1002 independent benchmarks$0.29 per solved task

74597

Shared results: 74
Gemini 3.1 Pro Preview only: 59
GLM 4.7 only: 7
Like-for-like categories: 8 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 32.3.
4 and 2 benchmarks behind the scores
Intelligence
AA Intelligence Index
Gemini 3.1 Pro Preview
Gemini 3.1 Pro Preview leads, 29.7 against 22.2.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Gemini 3.1 Pro Preview has a AA Agentic Index result, 8.2.
Directional only
Reasoning
GPQA Diamond
Gemini 3.1 Pro Preview
Gemini 3.1 Pro Preview leads, 95.5% against 80.0%.
Same board, both measured
Math
AIME
Gemini 3.1 Pro Preview
Gemini 3.1 Pro Preview leads, 98.1% against 93.3%.
Same board, both measured
Knowledge
MMLU Pro
Gemini 3.1 Pro Preview
Gemini 3.1 Pro Preview leads, 91.0% against 82.7%.
Same board, both measured
Web design
Design Arena: websites
Gemini 3.1 Pro Preview
Gemini 3.1 Pro Preview leads, 1233 against 1225.
Same board, both measured
Long documents
Listed context window
Gemini 3.1 Pro Preview
Gemini 3.1 Pro Preview takes 1.05M tokens against 205K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
GLM 4.7
Gemini 3.1 Pro Preview $0.0080, GLM 4.7 $0.0017 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
GLM 4.7
Gemini 3.1 Pro Preview $0.99, GLM 4.7 $0.29.
Published attempt cost and pass rate

At a glance

Coding index: Gemini 3.1 Pro Preview 32.3 from 4 benchmarks, GLM 4.7 55.1 from 2 benchmarks.
Widest category: Reasoning, 15.3 points apart on average over 9 shared benchmarks.
Widest single gap: Terminal-Bench: Gemini 3.1 Pro Preview 80.2% against GLM 4.7 33.4%, 46.8 points apart on a 0 to 100 scale.
Output price: Gemini 3.1 Pro Preview $12.00 against GLM 4.7 $2.20 per million output tokens, 5.5x apart.
Context window: Gemini 3.1 Pro Preview takes 1.05M tokens, GLM 4.7 205K.

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	Gemini 3.1 Pro Preview	GLM 4.7
Coding	11	0
Intelligence	1	0
Agentic work	2	4
Reasoning	9	0
Math	5	0
Knowledge	12	0
Web design	8	0
General	22	0
All shared boards	70	4

CodingLike-for-likeSix of these boards feed the Vibe Coding Index110

Coding benchmarks for Gemini 3.1 Pro Preview and GLM 4.7
Benchmark	Gemini 3.1 Pro Preview	GLM 4.7	Leader
LMArena WebDev	1447	1435	Gemini 3.1 Pro Preview
AA Coding Index	68.8	45.3	Gemini 3.1 Pro Preview
LiveCodeBench (Vals AI)	88.5%	82.2%	Gemini 3.1 Pro Preview
SWE-bench Verified (Vals AI)	78.8%	69.4%	Gemini 3.1 Pro Preview
Terminal-Bench 4 (Vals AI)	2.5%	Not measured	Only Gemini 3.1 Pro Preview measured
Vibe Code Bench (Vals AI)	32.0%	Not measured	Only Gemini 3.1 Pro Preview measured
Code migration (Vals AI)	17.3%	Not measured	Only Gemini 3.1 Pro Preview measured
ProgramBench (Vals AI)	0.0%	Not measured	Only Gemini 3.1 Pro Preview measured
IOI (Vals AI)	51.8%	Not measured	Only Gemini 3.1 Pro Preview measured
Terminal-Bench 2.1 (Vals AI)	70.8%	Not measured	Only Gemini 3.1 Pro Preview measured
Vibe Code Bench 1-100 (Vals AI)	6.7%	Not measured	Only Gemini 3.1 Pro Preview measured
LiveCodeBench (Artificial Analysis run)	Not measured	89.4%	Only GLM 4.7 measured
SciCode	58.7%	Not measured	Only Gemini 3.1 Pro Preview measured
Terminal-Bench Hard (Artificial Analysis run)	53.8%	31.8%	Gemini 3.1 Pro Preview
Terminal-Bench	80.2%	33.4%	Gemini 3.1 Pro Preview
GSO-Bench	22.6%	Not measured	Only Gemini 3.1 Pro Preview measured
WeirdML	72.1%	Not measured	Only Gemini 3.1 Pro Preview measured
MirrorCode	8.9%	Not measured	Only Gemini 3.1 Pro Preview measured
ALE-Bench	1160.6	399.5	Gemini 3.1 Pro Preview
LMArena Text: coding	1484	1454	Gemini 3.1 Pro Preview
LMArena Text: software and IT	1487	1453	Gemini 3.1 Pro Preview
LMArena WebDev: React	1438	1420	Gemini 3.1 Pro Preview
LMArena WebDev: HTML	1490	1447	Gemini 3.1 Pro Preview
LMArena WebDev: from an image	1481	Not measured	Only Gemini 3.1 Pro Preview measured
SciCode	14.3%	Not measured	Only Gemini 3.1 Pro Preview measured
Neither model has a result on the other 14 boards here

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

Intelligence benchmarks for Gemini 3.1 Pro Preview and GLM 4.7
Benchmark	Gemini 3.1 Pro Preview	GLM 4.7	Leader
AA Intelligence Index	29.7	22.2	Gemini 3.1 Pro Preview
Epoch Capabilities Index	Not measured	143.6	Only GLM 4.7 measured

Agentic workLike-for-likePublic boards, shown as published, kept out of the index24

Agentic work benchmarks for Gemini 3.1 Pro Preview and GLM 4.7
Benchmark	Gemini 3.1 Pro Preview	GLM 4.7	Leader
AA Agentic Index	8.2	Not measured	Only Gemini 3.1 Pro Preview measured
Design Arena: agents building web apps	1125	Not measured	Only Gemini 3.1 Pro Preview measured
Design Arena: agents building full-stack apps	1068	1050	Gemini 3.1 Pro Preview
Design Arena: agents building mobile apps	1094	1105	GLM 4.7
Design Arena: agents building Android apps	1049	1112	GLM 4.7
Design Arena: agents building Godot games	1236	1058	Gemini 3.1 Pro Preview
Design Arena: agents building games	1113	Not measured	Only Gemini 3.1 Pro Preview measured
Design Arena: HTML slides	1103	Not measured	Only Gemini 3.1 Pro Preview measured
Design Arena: PowerPoint slides	1041	Not measured	Only Gemini 3.1 Pro Preview measured
SREBench (Vals AI)	0.0%	Not measured	Only Gemini 3.1 Pro Preview measured
Finance Agent (Vals AI)	43.0%	Not measured	Only Gemini 3.1 Pro Preview measured
Tax Agent Bench (Vals AI)	9.3%	Not measured	Only Gemini 3.1 Pro Preview measured
Legal Research Bench (Vals AI)	20.7%	Not measured	Only Gemini 3.1 Pro Preview measured
Excel Modeling Benchmark (Vals AI)	52.6%	Not measured	Only Gemini 3.1 Pro Preview measured
BioMysteryBench (Vals AI)	60.0%	Not measured	Only Gemini 3.1 Pro Preview measured
Terminal-Bench-Science (Vals AI)	1.4%	Not measured	Only Gemini 3.1 Pro Preview measured
Vals Science Index	27.4%	Not measured	Only Gemini 3.1 Pro Preview measured
τ²-Bench Telecom	95.6%	95.9%	GLM 4.7
APEX-Agents	35.1%	Not measured	Only Gemini 3.1 Pro Preview measured
METR time horizons	77.0%	Not measured	Only Gemini 3.1 Pro Preview measured
BALROG	57.0%	Not measured	Only Gemini 3.1 Pro Preview measured
DeepResearch Bench	47.8%	Not measured	Only Gemini 3.1 Pro Preview measured
PostTrainBench	22.0%	Not measured	Only Gemini 3.1 Pro Preview measured
Vending-Bench 2	$911	$2,377	GLM 4.7
BrowseComp-Plus	Not measured	64.7%	Only GLM 4.7 measured
Neither model has a result on the other 16 boards here

ReasoningLike-for-likePublic boards, shown as published, kept out of the index90

Reasoning benchmarks for Gemini 3.1 Pro Preview and GLM 4.7
Benchmark	Gemini 3.1 Pro Preview	GLM 4.7	Leader
GPQA Diamond	95.5%	80.0%	Gemini 3.1 Pro Preview
MysteryMechanism (Vals AI)	20.7%	Not measured	Only Gemini 3.1 Pro Preview measured
MMMU Pro (Vals AI)	88.2%	Not measured	Only Gemini 3.1 Pro Preview measured
GPQA Diamond (Artificial Analysis run)	94.1%	85.9%	Gemini 3.1 Pro Preview
Humanity's Last Exam (Artificial Analysis run)	47.0%	27.4%	Gemini 3.1 Pro Preview
GPQA Diamond (Epoch AI run)	94.4%	83.3%	Gemini 3.1 Pro Preview
ARC-AGI	98.0%	Not measured	Only Gemini 3.1 Pro Preview measured
ARC-AGI-2	77.1%	Not measured	Only Gemini 3.1 Pro Preview measured
SimpleBench	79.6%	47.7%	Gemini 3.1 Pro Preview
Chess puzzles	51.0%	21.0%	Gemini 3.1 Pro Preview
Mystery game puzzles	34.0%	Not measured	Only Gemini 3.1 Pro Preview measured
EBR-bench	14.3%	Not measured	Only Gemini 3.1 Pro Preview measured
LMArena Text: hard prompts	1485	1443	Gemini 3.1 Pro Preview
LMArena Text: expert	1483	1424	Gemini 3.1 Pro Preview
LMArena Text: hard prompts in English	1480	1452	Gemini 3.1 Pro Preview
LMArena Vision: diagrams	1311	Not measured	Only Gemini 3.1 Pro Preview measured
LMArena Vision: homework	1316	Not measured	Only Gemini 3.1 Pro Preview measured
Neither model has a result on the other 5 boards here

MathLike-for-likePublic boards, shown as published, kept out of the index50

Math benchmarks for Gemini 3.1 Pro Preview and GLM 4.7
Benchmark	Gemini 3.1 Pro Preview	GLM 4.7	Leader
AIME	98.1%	93.3%	Gemini 3.1 Pro Preview
MGSM (Vals AI)	Not measured	88.2%	Only GLM 4.7 measured
AA Math Index	Not measured	95.0	Only GLM 4.7 measured
AIME 2025 (Artificial Analysis run)	Not measured	95.0%	Only GLM 4.7 measured
OTIS Mock AIME	95.6%	83.3%	Gemini 3.1 Pro Preview
FrontierMath, tiers 1 to 3	59.6%	Not measured	Only Gemini 3.1 Pro Preview measured
FrontierMath, tier 4	26.8%	Not measured	Only Gemini 3.1 Pro Preview measured
ProofBench	26.0%	6.0%	Gemini 3.1 Pro Preview
LMArena Text: math	1486	1424	Gemini 3.1 Pro Preview
LMArena Text: mathematical work	1478	1411	Gemini 3.1 Pro Preview
Neither model has a result on the other 3 boards here

KnowledgeLike-for-likePublic boards, shown as published, kept out of the index120

Knowledge benchmarks for Gemini 3.1 Pro Preview and GLM 4.7
Benchmark	Gemini 3.1 Pro Preview	GLM 4.7	Leader
MMLU Pro	91.0%	82.7%	Gemini 3.1 Pro Preview
LegalBench (Vals AI)	87.4%	83.4%	Gemini 3.1 Pro Preview
CaseLaw (Vals AI)	64.8%	54.9%	Gemini 3.1 Pro Preview
CorpFin (Vals AI)	64.5%	46.4%	Gemini 3.1 Pro Preview
TaxEval (Vals AI)	72.9%	68.8%	Gemini 3.1 Pro Preview
MortgageTax (Vals AI)	69.4%	Not measured	Only Gemini 3.1 Pro Preview measured
MedQA (Vals AI)	96.4%	93.7%	Gemini 3.1 Pro Preview
MedCode (Vals AI)	59.1%	32.8%	Gemini 3.1 Pro Preview
MMLU Pro (Artificial Analysis run)	Not measured	85.6%	Only GLM 4.7 measured
SimpleQA Verified	73.5%	32.2%	Gemini 3.1 Pro Preview
LMArena Text: science	1497	1457	Gemini 3.1 Pro Preview
LMArena Text: medicine and healthcare	1486	1469	Gemini 3.1 Pro Preview
LMArena Text: legal and government	1487	1444	Gemini 3.1 Pro Preview
LMArena Text: business and finance	1459	1429	Gemini 3.1 Pro Preview
FACTS Benchmark Suite	67.4%	Not measured	Only Gemini 3.1 Pro Preview measured
Neither model has a result on the other 3 boards here

Web designLike-for-likePublic boards, shown as published, kept out of the index80

Web design benchmarks for Gemini 3.1 Pro Preview and GLM 4.7
Benchmark	Gemini 3.1 Pro Preview	GLM 4.7	Leader
Design Arena: websites	1233	1225	Gemini 3.1 Pro Preview
Design Arena: UI components	1224	1196	Gemini 3.1 Pro Preview
Design Arena: game dev	1202	1188	Gemini 3.1 Pro Preview
Design Arena: data viz	1209	1195	Gemini 3.1 Pro Preview
Design Arena: 3D	1234	1190	Gemini 3.1 Pro Preview
Design Arena: all code categories	1231	1216	Gemini 3.1 Pro Preview
Design Arena: SVG	1285	1142	Gemini 3.1 Pro Preview
Design Arena: ASCII art	1270	1165	Gemini 3.1 Pro Preview
Neither model has a result on the other 1 board here

GeneralLike-for-likePublic boards, shown as published, kept out of the index220

General benchmarks for Gemini 3.1 Pro Preview and GLM 4.7
Benchmark	Gemini 3.1 Pro Preview	GLM 4.7	Leader
Public Benefits Bench (Vals AI)	53.8%	Not measured	Only Gemini 3.1 Pro Preview measured
SAGE (Vals AI)	48.7%	Not measured	Only Gemini 3.1 Pro Preview measured
MedScribe (Vals AI)	76.1%	68.6%	Gemini 3.1 Pro Preview
Vals Multimodal Index	56.1%	Not measured	Only Gemini 3.1 Pro Preview measured
IFBench	77.1%	67.9%	Gemini 3.1 Pro Preview
Long context reasoning (AA-LCR)	82.0%	71.0%	Gemini 3.1 Pro Preview
DTBench	97.1%	Not measured	Only Gemini 3.1 Pro Preview measured
LMCA	53.8%	Not measured	Only Gemini 3.1 Pro Preview measured
CL-bench	20.8%	15.9%	Gemini 3.1 Pro Preview
Furniture assembly	26.7%	Not measured	Only Gemini 3.1 Pro Preview measured
ExploitBench	26.1%	Not measured	Only Gemini 3.1 Pro Preview measured
CL-bench Life	16.9%	10.9%	Gemini 3.1 Pro Preview
LMArena Text	1480	1435	Gemini 3.1 Pro Preview
LMArena Text: instruction following	1466	1412	Gemini 3.1 Pro Preview
LMArena Text: creative writing	1482	1401	Gemini 3.1 Pro Preview
LMArena Vision	1296	Not measured	Only Gemini 3.1 Pro Preview measured
LMArena Text: English	1478	1453	Gemini 3.1 Pro Preview
LMArena Text: non-English	1476	1417	Gemini 3.1 Pro Preview
LMArena Text: Chinese	1527	1495	Gemini 3.1 Pro Preview
LMArena Text: German	1490	1426	Gemini 3.1 Pro Preview
LMArena Text: Japanese	1491	1439	Gemini 3.1 Pro Preview
LMArena Text: Korean	1455	1399	Gemini 3.1 Pro Preview
LMArena Text: French	1487	1432	Gemini 3.1 Pro Preview
LMArena Text: Spanish	1481	1434	Gemini 3.1 Pro Preview
LMArena Text: Russian	1497	1423	Gemini 3.1 Pro Preview
LMArena Text: Polish	1498	1435	Gemini 3.1 Pro Preview
LMArena Text: multi-turn	1487	1446	Gemini 3.1 Pro Preview
LMArena Text: longer queries	1482	1432	Gemini 3.1 Pro Preview
LMArena Text: writing and language	1481	1411	Gemini 3.1 Pro Preview
LMArena Text: entertainment and media	1465	1400	Gemini 3.1 Pro Preview
LMArena Vision: English	1287	Not measured	Only Gemini 3.1 Pro Preview measured
LMArena Vision: Chinese	1364	Not measured	Only Gemini 3.1 Pro Preview measured
LMArena Vision: reading text	1304	Not measured	Only Gemini 3.1 Pro Preview measured
LMArena Vision: humor	1322	Not measured	Only Gemini 3.1 Pro Preview measured
LMArena Vision: captioning	1345	Not measured	Only Gemini 3.1 Pro Preview measured
LMArena Vision: recognizing things	1330	Not measured	Only Gemini 3.1 Pro Preview measured
LMArena Vision: creative writing	1324	Not measured	Only Gemini 3.1 Pro Preview measured
LMArena Document	1444	Not measured	Only Gemini 3.1 Pro Preview measured
Neither model has a result on the other 8 boards here

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

Image generation benchmarks for Gemini 3.1 Pro Preview and GLM 4.7
Benchmark	Gemini 3.1 Pro Preview	GLM 4.7	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 3.1 Pro Preview$0.0080Fits in one request

GLM 4.7$0.0017Fits in one request

GLM 4.7 costs less

Repository review

50K input + 3K output tokens

Gemini 3.1 Pro Preview$0.136Fits in one request

GLM 4.7$0.037Fits in one request

GLM 4.7 costs less

Agent loop

200K input + 10K output tokens

Gemini 3.1 Pro Preview$0.520Fits in one request

GLM 4.7$0.142Exceeds the context window

GLM 4.7 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 Gemini 3.1 Pro Preview and GLM 4.7
Specification	Google Gemini 3.1 Pro Preview	Z.ai GLM 4.7
Maker	Google	Z.ai
Weights	No public weights listed	Open weights
Released	February 19, 2026	December 22, 2025
Context window	1.05M	205K
Input $/Mtok	$2.00	$0.60
Output $/Mtok	$12.00	$2.20
Coding index	32.3	55.1
Independent measurements behind it	4	2
Cost per solved task	$0.99	$0.29
Source	OpenRouter listing	OpenRouter listing

Questions

Is Gemini 3.1 Pro Preview better than GLM 4.7 for coding?

Pick GLM 4.7 for coding: it scores 55.1 on the Vibe Coding Index against 32.3 for Gemini 3.1 Pro Preview, though on 2 benchmarks against 4. Pick Gemini 3.1 Pro Preview for a larger context window (1.05M against 205K tokens) and work measured by LMArena WebDev or AA Coding Index, where it leads.

Which is cheaper, Gemini 3.1 Pro Preview or GLM 4.7?

Gemini 3.1 Pro Preview costs $2.00 per million input tokens and $12.00 per million output tokens; GLM 4.7 costs $0.60 and $2.20. Per solved SWE-bench Verified task, Gemini 3.1 Pro Preview costs $0.99 and GLM 4.7 $0.29.

Which has the bigger context window, Gemini 3.1 Pro Preview or GLM 4.7?

Gemini 3.1 Pro Preview, with 1.05M tokens against 205K.

How many benchmarks is the Gemini 3.1 Pro Preview vs GLM 4.7 comparison based on?

74 benchmarks have a result for both models as of October 22, 2026. Gemini 3.1 Pro Preview's coding index rests on 4 independent benchmarks and GLM 4.7's on 2. Where only one model has a result, the page says so instead of naming a winner.

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Gemini 3.1 Pro Preview or GLM 4.7: 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