Gemini 3.1 Pro Preview vs GLM 5.1

GLM 5.1 leads Gemini 3.1 Pro Preview on coding, 49.2 to 32.3 on the Vibe Coding Index, and GLM 5.1 costs 2.7x less per output token ($4.40 vs $12.00 per million). Updated October 21, 2026; 87 benchmarks have a result for both.

Replace Gemini 3.1 Pro Preview Replace GLM 5.1

Gemini 3.1 Pro PreviewGoogle

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

GLM 5.1Z.ai

Coding: 49.2
Overall: 57.5
Output $/M: $4.40

vs boards won of 87 shared, 1 tied

Gemini 3.1 Pro Preview or GLM 5.1: which to pick

Pick GLM 5.1 for coding: it scores 49.2 on the Vibe Coding Index against 32.3 for Gemini 3.1 Pro Preview, though on 3 benchmarks against 4.

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

Model AGemini 3.1 Pro PreviewGoogle32.3/1004 independent benchmarks$0.99 per solved task Model BGLM 5.1Z.ai49.2/1003 independent benchmarks$0.60 per solved task

87462

Shared results: 87
Gemini 3.1 Pro Preview only: 46
GLM 5.1 only: 2
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 5.1
GLM 5.1 scores 49.2 against 32.3.
4 and 3 benchmarks behind the scores
Intelligence
AA Intelligence Index
Gemini 3.1 Pro Preview
Gemini 3.1 Pro Preview leads, 29.7 against 26.1.
Same board, both measured
Agentic work
AA Agentic Index
GLM 5.1
GLM 5.1 leads, 23.9 against 8.2.
Same board, both measured
Reasoning
GPQA Diamond
Gemini 3.1 Pro Preview
Gemini 3.1 Pro Preview leads, 95.5% against 84.5%.
Same board, both measured
Math
AIME
Gemini 3.1 Pro Preview
Gemini 3.1 Pro Preview leads, 98.1% against 91.9%.
Same board, both measured
Knowledge
MMLU Pro
Gemini 3.1 Pro Preview
Gemini 3.1 Pro Preview leads, 91.0% against 86.9%.
Same board, both measured
Web design
Design Arena: websites
GLM 5.1
GLM 5.1 leads, 1290 against 1234.
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 5.1
Gemini 3.1 Pro Preview $0.0080, GLM 5.1 $0.0036 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
GLM 5.1
Gemini 3.1 Pro Preview $0.99, GLM 5.1 $0.60.
Published attempt cost and pass rate

At a glance

Coding index: Gemini 3.1 Pro Preview 32.3 from 4 benchmarks, GLM 5.1 49.2 from 3 benchmarks.
Widest category: Reasoning, 10.9 points apart on average over 9 shared benchmarks.
Widest single gap: SimpleQA Verified: Gemini 3.1 Pro Preview 73.5% against GLM 5.1 34.0%, 39.5 points apart on a 0 to 100 scale.
Output price: Gemini 3.1 Pro Preview $12.00 against GLM 5.1 $4.40 per million output tokens, 2.7x apart.
Context window: Gemini 3.1 Pro Preview takes 1.05M tokens, GLM 5.1 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 5.1	Ties
Coding	10	5	1 tie
Intelligence	1	0
Agentic work	1	13
Reasoning	8	1
Math	6	0
Knowledge	11	0
Web design	2	6
General	21	1
All shared boards	60	26	1 tie

CodingLike-for-likeSix of these boards feed the Vibe Coding Index105

Coding benchmarks for Gemini 3.1 Pro Preview and GLM 5.1
Benchmark	Gemini 3.1 Pro Preview	GLM 5.1	Leader
LMArena WebDev	1447	1508	GLM 5.1
AA Coding Index	68.8	55.8	Gemini 3.1 Pro Preview
LiveCodeBench (Vals AI)	88.5%	81.4%	Gemini 3.1 Pro Preview
SWE-bench Verified (Vals AI)	78.8%	76.4%	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%	31.5%	Gemini 3.1 Pro Preview
Code migration (Vals AI)	17.3%	25.8%	GLM 5.1
ProgramBench (Vals AI)	0.0%	0.0%	Tie
IOI (Vals AI)	51.8%	Not measured	Only Gemini 3.1 Pro Preview measured
Terminal-Bench 2.1 (Vals AI)	70.8%	56.9%	Gemini 3.1 Pro Preview
Vibe Code Bench 1-100 (Vals AI)	6.7%	Not measured	Only Gemini 3.1 Pro Preview measured
SciCode	58.7%	44.8%	Gemini 3.1 Pro Preview
Terminal-Bench Hard (Artificial Analysis run)	53.8%	43.2%	Gemini 3.1 Pro Preview
Terminal-Bench	80.2%	Not measured	Only Gemini 3.1 Pro Preview measured
GSO-Bench	22.6%	Not measured	Only Gemini 3.1 Pro Preview measured
WeirdML	72.1%	57.1%	Gemini 3.1 Pro Preview
MirrorCode	8.9%	Not measured	Only Gemini 3.1 Pro Preview measured
ALE-Bench	1160.6	887.1	Gemini 3.1 Pro Preview
LMArena Text: coding	1484	1485	GLM 5.1
LMArena Text: software and IT	1487	1484	Gemini 3.1 Pro Preview
LMArena WebDev: React	1438	1505	GLM 5.1
LMArena WebDev: HTML	1490	1508	GLM 5.1
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 15 boards here

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

Intelligence benchmarks for Gemini 3.1 Pro Preview and GLM 5.1
Benchmark	Gemini 3.1 Pro Preview	GLM 5.1	Leader
AA Intelligence Index	29.7	26.1	Gemini 3.1 Pro Preview
Epoch Capabilities Index	Not measured	149.8	Only GLM 5.1 measured

Agentic workLike-for-likePublic boards, shown as published, kept out of the index113

Agentic work benchmarks for Gemini 3.1 Pro Preview and GLM 5.1
Benchmark	Gemini 3.1 Pro Preview	GLM 5.1	Leader
AA Agentic Index	8.2	23.9	GLM 5.1
Design Arena: agents building web apps	1125	1175	GLM 5.1
Design Arena: agents building full-stack apps	1068	1167	GLM 5.1
Design Arena: agents building mobile apps	1093	1162	GLM 5.1
Design Arena: agents building Android apps	1048	1180	GLM 5.1
Design Arena: agents building Godot games	1236	1053	Gemini 3.1 Pro Preview
Design Arena: agents building games	1114	1164	GLM 5.1
Design Arena: HTML slides	1153	1170	GLM 5.1
Design Arena: PowerPoint slides	1066	1188	GLM 5.1
Design Arena: spreadsheets	Not measured	1315	Only GLM 5.1 measured
SREBench (Vals AI)	0.0%	Not measured	Only Gemini 3.1 Pro Preview measured
Finance Agent (Vals AI)	43.0%	44.8%	GLM 5.1
Tax Agent Bench (Vals AI)	9.3%	Not measured	Only Gemini 3.1 Pro Preview measured
Legal Research Bench (Vals AI)	20.7%	27.9%	GLM 5.1
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%	97.7%	GLM 5.1
APEX-Agents	35.1%	40.9%	GLM 5.1
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	$5,634	GLM 5.1
Neither model has a result on the other 16 boards here

ReasoningLike-for-likePublic boards, shown as published, kept out of the index81

Reasoning benchmarks for Gemini 3.1 Pro Preview and GLM 5.1
Benchmark	Gemini 3.1 Pro Preview	GLM 5.1	Leader
GPQA Diamond	95.5%	84.5%	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%	86.8%	Gemini 3.1 Pro Preview
Humanity's Last Exam (Artificial Analysis run)	47.0%	30.1%	Gemini 3.1 Pro Preview
GPQA Diamond (Epoch AI run)	94.4%	89.9%	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%	55.1%	Gemini 3.1 Pro Preview
Chess puzzles	51.0%	20.0%	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	1473	Gemini 3.1 Pro Preview
LMArena Text: expert	1483	1478	Gemini 3.1 Pro Preview
LMArena Text: hard prompts in English	1480	1482	GLM 5.1
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 index60

Math benchmarks for Gemini 3.1 Pro Preview and GLM 5.1
Benchmark	Gemini 3.1 Pro Preview	GLM 5.1	Leader
AIME	98.1%	91.9%	Gemini 3.1 Pro Preview
OTIS Mock AIME	95.6%	93.3%	Gemini 3.1 Pro Preview
FrontierMath, tiers 1 to 3	59.6%	36.8%	Gemini 3.1 Pro Preview
FrontierMath, tier 4	26.8%	Not measured	Only Gemini 3.1 Pro Preview measured
ProofBench	26.0%	22.2%	Gemini 3.1 Pro Preview
LMArena Text: math	1486	1473	Gemini 3.1 Pro Preview
LMArena Text: mathematical work	1478	1470	Gemini 3.1 Pro Preview
Neither model has a result on the other 6 boards here

KnowledgeLike-for-likePublic boards, shown as published, kept out of the index110

Knowledge benchmarks for Gemini 3.1 Pro Preview and GLM 5.1
Benchmark	Gemini 3.1 Pro Preview	GLM 5.1	Leader
MMLU Pro	91.0%	86.9%	Gemini 3.1 Pro Preview
LegalBench (Vals AI)	87.4%	84.4%	Gemini 3.1 Pro Preview
CaseLaw (Vals AI)	64.8%	51.5%	Gemini 3.1 Pro Preview
CorpFin (Vals AI)	64.5%	64.5%	Gemini 3.1 Pro Preview
TaxEval (Vals AI)	72.9%	71.2%	Gemini 3.1 Pro Preview
MortgageTax (Vals AI)	69.4%	Not measured	Only Gemini 3.1 Pro Preview measured
MedQA (Vals AI)	96.4%	Not measured	Only Gemini 3.1 Pro Preview measured
MedCode (Vals AI)	59.1%	41.6%	Gemini 3.1 Pro Preview
SimpleQA Verified	73.5%	34.0%	Gemini 3.1 Pro Preview
LMArena Text: science	1497	1478	Gemini 3.1 Pro Preview
LMArena Text: medicine and healthcare	1486	1474	Gemini 3.1 Pro Preview
LMArena Text: legal and government	1487	1465	Gemini 3.1 Pro Preview
LMArena Text: business and finance	1459	1452	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 4 boards here

Web designLike-for-likePublic boards, shown as published, kept out of the index26

Web design benchmarks for Gemini 3.1 Pro Preview and GLM 5.1
Benchmark	Gemini 3.1 Pro Preview	GLM 5.1	Leader
Design Arena: websites	1234	1290	GLM 5.1
Design Arena: UI components	1227	1292	GLM 5.1
Design Arena: game dev	1203	1265	GLM 5.1
Design Arena: data viz	1209	1366	GLM 5.1
Design Arena: 3D	1234	1336	GLM 5.1
Design Arena: all code categories	1231	1268	GLM 5.1
Design Arena: SVG	1285	1218	Gemini 3.1 Pro Preview
Design Arena: ASCII art	1270	1142	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 index211

General benchmarks for Gemini 3.1 Pro Preview and GLM 5.1
Benchmark	Gemini 3.1 Pro Preview	GLM 5.1	Leader
Public Benefits Bench (Vals AI)	53.8%	61.8%	GLM 5.1
SAGE (Vals AI)	48.7%	Not measured	Only Gemini 3.1 Pro Preview measured
MedScribe (Vals AI)	76.1%	72.3%	Gemini 3.1 Pro Preview
Vals Multimodal Index	56.1%	Not measured	Only Gemini 3.1 Pro Preview measured
IFBench	77.1%	76.3%	Gemini 3.1 Pro Preview
Long context reasoning (AA-LCR)	82.0%	73.7%	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%	Not measured	Only Gemini 3.1 Pro Preview measured
Furniture assembly	26.7%	Not measured	Only Gemini 3.1 Pro Preview measured
ExploitBench	26.1%	18.1%	Gemini 3.1 Pro Preview
CL-bench Life	16.9%	Not measured	Only Gemini 3.1 Pro Preview measured
LMArena Text	1480	1463	Gemini 3.1 Pro Preview
LMArena Text: instruction following	1466	1453	Gemini 3.1 Pro Preview
LMArena Text: creative writing	1482	1453	Gemini 3.1 Pro Preview
LMArena Vision	1296	Not measured	Only Gemini 3.1 Pro Preview measured
LMArena Text: English	1478	1476	Gemini 3.1 Pro Preview
LMArena Text: non-English	1476	1448	Gemini 3.1 Pro Preview
LMArena Text: Chinese	1527	1515	Gemini 3.1 Pro Preview
LMArena Text: German	1490	1467	Gemini 3.1 Pro Preview
LMArena Text: Japanese	1491	1435	Gemini 3.1 Pro Preview
LMArena Text: Korean	1455	1424	Gemini 3.1 Pro Preview
LMArena Text: French	1487	1470	Gemini 3.1 Pro Preview
LMArena Text: Spanish	1481	1468	Gemini 3.1 Pro Preview
LMArena Text: Russian	1497	1454	Gemini 3.1 Pro Preview
LMArena Text: Polish	1498	1449	Gemini 3.1 Pro Preview
LMArena Text: multi-turn	1487	1473	Gemini 3.1 Pro Preview
LMArena Text: longer queries	1482	1467	Gemini 3.1 Pro Preview
LMArena Text: writing and language	1481	1454	Gemini 3.1 Pro Preview
LMArena Text: entertainment and media	1465	1442	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 5.1
Benchmark	Gemini 3.1 Pro Preview	GLM 5.1	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 5.1$0.0036Fits in one request

GLM 5.1 costs less

Repository review

50K input + 3K output tokens

Gemini 3.1 Pro Preview$0.136Fits in one request

GLM 5.1$0.083Fits in one request

GLM 5.1 costs less

Agent loop

200K input + 10K output tokens

Gemini 3.1 Pro Preview$0.520Fits in one request

GLM 5.1$0.324Exceeds the context window

GLM 5.1 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 5.1
Specification	Google Gemini 3.1 Pro Preview	Z.ai GLM 5.1
Maker	Google	Z.ai
Weights	No public weights listed	Open weights
Released	February 19, 2026	April 7, 2026
Context window	1.05M	205K
Input $/Mtok	$2.00	$1.40
Output $/Mtok	$12.00	$4.40
Coding index	32.3	49.2
Independent measurements behind it	4	3
Cost per solved task	$0.99	$0.60
Source	OpenRouter listing	OpenRouter listing

Questions

Is Gemini 3.1 Pro Preview better than GLM 5.1 for coding?

Pick GLM 5.1 for coding: it scores 49.2 on the Vibe Coding Index against 32.3 for Gemini 3.1 Pro Preview, though on 3 benchmarks against 4. Pick Gemini 3.1 Pro Preview for a larger context window (1.05M against 205K tokens) and work measured by AA Coding Index or LiveCodeBench (Vals AI), where it leads.

Which is cheaper, Gemini 3.1 Pro Preview or GLM 5.1?

Gemini 3.1 Pro Preview costs $2.00 per million input tokens and $12.00 per million output tokens; GLM 5.1 costs $1.40 and $4.40. Per solved SWE-bench Verified task, Gemini 3.1 Pro Preview costs $0.99 and GLM 5.1 $0.60.

Which has the bigger context window, Gemini 3.1 Pro Preview or GLM 5.1?

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

How many benchmarks is the Gemini 3.1 Pro Preview vs GLM 5.1 comparison based on?

87 benchmarks have a result for both models as of October 21, 2026. Gemini 3.1 Pro Preview's coding index rests on 4 independent benchmarks and GLM 5.1's on 3. 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 5.1: 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