GLM 5.1 vs GPT-6.1 Sol

GPT-6.1 Sol leads GLM 5.1 on coding, 82.4 to 49.2 on the Vibe Coding Index, and GLM 5.1 costs 2.3x less per output token ($4.40 vs $10.00 per million). Updated October 22, 2026; 57 benchmarks have a result for both.

Replace GLM 5.1 Replace GPT-6.1 Sol

GLM 5.1Z.ai

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

GPT-6.1 SolOpenAI

Coding: 82.4
Overall: 81.4
Output $/M: $10.00

vs boards won of 57 shared

GLM 5.1 or GPT-6.1 Sol: which to pick

Pick GPT-6.1 Sol for coding: it scores 82.4 on the Vibe Coding Index against 49.2 for GLM 5.1.

Pick GLM 5.1 for output tokens 2.3x cheaper ($4.40 vs $10.00 per million) and work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.

Model AGLM 5.1Z.ai49.2/1003 independent benchmarks$0.60 per solved task Model BGPT-6.1 SolOpenAI82.4/1005 independent benchmarksNo cost per solved task

573241

Shared results: 57
GLM 5.1 only: 32
GPT-6.1 Sol only: 41
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
GPT-6.1 Sol
GPT-6.1 Sol scores 82.4 against 49.2.
3 and 5 benchmarks behind the scores
Intelligence
AA Intelligence Index
GPT-6.1 Sol
GPT-6.1 Sol leads, 51.8 against 26.1.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only GLM 5.1 has a AA Agentic Index result, 23.9.
Directional only
Reasoning
GPQA Diamond
No call
Only GLM 5.1 has a GPQA Diamond result, 84.5%.
Directional only
Math
AIME
No call
Only GLM 5.1 has a AIME result, 91.9%.
Directional only
Knowledge
MMLU Pro
No call
Only GLM 5.1 has a MMLU Pro result, 86.9%.
Directional only
Web design
Design Arena: websites
GPT-6.1 Sol
GPT-6.1 Sol leads, 1321 against 1290.
Same board, both measured
General
Vals Index
No call
Only GPT-6.1 Sol has a Vals Index result, 63.9%.
Directional only
Long documents
Listed context window
GPT-6.1 Sol
GPT-6.1 Sol takes 1.05M tokens against 205K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
GLM 5.1
GLM 5.1 $0.0036, GPT-6.1 Sol $0.0070 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only GLM 5.1 has the number, $0.60.
Directional only

At a glance

Coding index: GLM 5.1 49.2 from 3 benchmarks, GPT-6.1 Sol 82.4 from 5 benchmarks.
Widest category: Math, 30.0 points apart on average over 5 shared benchmarks.
Widest single gap: ProofBench: GLM 5.1 22.2% against GPT-6.1 Sol 99.0%, 76.8 points apart on a 0 to 100 scale.
Output price: GLM 5.1 $4.40 against GPT-6.1 Sol $10.00 per million output tokens, 2.3x apart.
Context window: GLM 5.1 takes 205K tokens, GPT-6.1 Sol 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.

Boards won, where both have a result
Category	GLM 5.1	GPT-6.1 Sol
Coding	2	8
Intelligence	0	2
Agentic work	1	5
Reasoning	2	4
Math	0	5
Knowledge	3	3
Web design	1	5
General	12	4
All shared boards	21	36

CodingLike-for-likeSix of these boards feed the Vibe Coding Index28

Coding benchmarks for GLM 5.1 and GPT-6.1 Sol
Benchmark	GLM 5.1	GPT-6.1 Sol	Leader
LiveBench coding	Not measured	96.0%	Only GPT-6.1 Sol measured
LMArena WebDev	1508	1753	GPT-6.1 Sol
AA Coding Index	55.8	Not measured	Only GLM 5.1 measured
LiveCodeBench (Vals AI)	81.4%	Not measured	Only GLM 5.1 measured
SWE-bench Verified (Vals AI)	76.4%	Not measured	Only GLM 5.1 measured
Terminal-Bench 4 (Vals AI)	Not measured	55.0%	Only GPT-6.1 Sol measured
Vibe Code Bench (Vals AI)	31.5%	88.9%	GPT-6.1 Sol
Code migration (Vals AI)	25.8%	65.1%	GPT-6.1 Sol
ProgramBench (Vals AI)	0.0%	3.0%	GPT-6.1 Sol
IOI (Vals AI)	Not measured	96.9%	Only GPT-6.1 Sol measured
Terminal-Bench 2.1 (Vals AI)	56.9%	Not measured	Only GLM 5.1 measured
SWE-bench Multimodal (Vals AI)	Not measured	43.5%	Only GPT-6.1 Sol measured
CyberBench (Vals AI)	Not measured	39.3%	Only GPT-6.1 Sol measured
SciCode	44.8%	55.8%	GPT-6.1 Sol
Terminal-Bench Hard (Artificial Analysis run)	43.2%	Not measured	Only GLM 5.1 measured
FrontierCode	Not measured	50.2%	Only GPT-6.1 Sol measured
WeirdML	57.1%	Not measured	Only GLM 5.1 measured
ALE-Bench	887.1	2743.8	GPT-6.1 Sol
LMArena Text: coding	1485	1478	GLM 5.1
LMArena Text: software and IT	1484	1476	GLM 5.1
LMArena WebDev: React	1505	1754	GPT-6.1 Sol
LMArena WebDev: HTML	1508	1800	GPT-6.1 Sol
LMArena WebDev: from an image	Not measured	1702	Only GPT-6.1 Sol measured
SciCode	Not measured	9.2%	Only GPT-6.1 Sol measured
Neither model has a result on the other 15 boards here

IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02

Intelligence benchmarks for GLM 5.1 and GPT-6.1 Sol
Benchmark	GLM 5.1	GPT-6.1 Sol	Leader
AA Intelligence Index	26.1	51.8	GPT-6.1 Sol
Epoch Capabilities Index	149.8	168.4	GPT-6.1 Sol

Agentic workLike-for-likePublic boards, shown as published, kept out of the index15

Agentic work benchmarks for GLM 5.1 and GPT-6.1 Sol
Benchmark	GLM 5.1	GPT-6.1 Sol	Leader
AA Agentic Index	23.9	Not measured	Only GLM 5.1 measured
Design Arena: agents building web apps	1175	1306	GPT-6.1 Sol
Design Arena: agents building full-stack apps	1167	Not measured	Only GLM 5.1 measured
Design Arena: agents building mobile apps	1162	1213	GPT-6.1 Sol
Design Arena: agents building Android apps	1182	Not measured	Only GLM 5.1 measured
Design Arena: agents building Godot games	1053	Not measured	Only GLM 5.1 measured
Design Arena: agents building games	1164	Not measured	Only GLM 5.1 measured
Design Arena: HTML slides	1120	Not measured	Only GLM 5.1 measured
Design Arena: PowerPoint slides	1163	Not measured	Only GLM 5.1 measured
Design Arena: spreadsheets	1315	1259	GLM 5.1
LiveBench research	Not measured	83.5%	Only GPT-6.1 Sol measured
LiveBench browser	Not measured	88.0%	Only GPT-6.1 Sol measured
LiveBench long agentic	Not measured	73.0%	Only GPT-6.1 Sol measured
SREBench (Vals AI)	Not measured	50.8%	Only GPT-6.1 Sol measured
Finance Agent (Vals AI)	44.8%	52.0%	GPT-6.1 Sol
Tax Agent Bench (Vals AI)	Not measured	21.8%	Only GPT-6.1 Sol measured
Legal Research Bench (Vals AI)	27.9%	38.5%	GPT-6.1 Sol
Harvey's Legal Agent Benchmark (Vals AI)	Not measured	6.3%	Only GPT-6.1 Sol measured
Excel Modeling Benchmark (Vals AI)	Not measured	70.8%	Only GPT-6.1 Sol measured
BioMysteryBench (Vals AI)	Not measured	79.6%	Only GPT-6.1 Sol measured
Terminal-Bench-Science (Vals AI)	Not measured	52.9%	Only GPT-6.1 Sol measured
Vals Science Index	Not measured	59.6%	Only GPT-6.1 Sol measured
Robo-bench (Vals AI)	Not measured	28.3%	Only GPT-6.1 Sol measured
τ²-Bench Telecom	97.7%	Not measured	Only GLM 5.1 measured
APEX-Agents	40.9%	60.0%	GPT-6.1 Sol
SpireClimb	Not measured	24.7%	Only GPT-6.1 Sol measured
Vending-Bench 2	$5,634	Not measured	Only GLM 5.1 measured
Neither model has a result on the other 14 boards here

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

Reasoning benchmarks for GLM 5.1 and GPT-6.1 Sol
Benchmark	GLM 5.1	GPT-6.1 Sol	Leader
GPQA Diamond	84.5%	Not measured	Only GLM 5.1 measured
LiveBench reasoning	Not measured	92.6%	Only GPT-6.1 Sol measured
MysteryMechanism (Vals AI)	Not measured	46.4%	Only GPT-6.1 Sol measured
GPQA Diamond (Artificial Analysis run)	86.8%	Not measured	Only GLM 5.1 measured
Humanity's Last Exam (Artificial Analysis run)	30.1%	52.9%	GPT-6.1 Sol
GPQA Diamond (Epoch AI run)	89.9%	95.4%	GPT-6.1 Sol
ARC-AGI	Not measured	98.5%	Only GPT-6.1 Sol measured
ARC-AGI-2	Not measured	94.2%	Only GPT-6.1 Sol measured
SimpleBench	55.1%	Not measured	Only GLM 5.1 measured
Chess puzzles	20.0%	68.0%	GPT-6.1 Sol
Mystery game puzzles	Not measured	80.0%	Only GPT-6.1 Sol measured
EBR-bench	Not measured	54.3%	Only GPT-6.1 Sol measured
LMArena Text: hard prompts	1473	1463	GLM 5.1
LMArena Text: expert	1478	1489	GPT-6.1 Sol
LMArena Text: hard prompts in English	1482	1465	GLM 5.1
LMArena Vision: diagrams	Not measured	1306	Only GPT-6.1 Sol measured
LMArena Vision: homework	Not measured	1356	Only GPT-6.1 Sol measured
Neither model has a result on the other 5 boards here

MathLike-for-likePublic boards, shown as published, kept out of the index05

Math benchmarks for GLM 5.1 and GPT-6.1 Sol
Benchmark	GLM 5.1	GPT-6.1 Sol	Leader
AIME	91.9%	Not measured	Only GLM 5.1 measured
OTIS Mock AIME	93.3%	100.0%	GPT-6.1 Sol
FrontierMath, tiers 1 to 3	36.8%	93.7%	GPT-6.1 Sol
FrontierMath, tier 4	Not measured	100.0%	Only GPT-6.1 Sol measured
ProofBench	22.2%	99.0%	GPT-6.1 Sol
LMArena Text: math	1473	1489	GPT-6.1 Sol
LMArena Text: mathematical work	1470	1513	GPT-6.1 Sol
Neither model has a result on the other 6 boards here

KnowledgeLike-for-likePublic boards, shown as published, kept out of the index33

Knowledge benchmarks for GLM 5.1 and GPT-6.1 Sol
Benchmark	GLM 5.1	GPT-6.1 Sol	Leader
MMLU Pro	86.9%	Not measured	Only GLM 5.1 measured
LegalBench (Vals AI)	84.4%	Not measured	Only GLM 5.1 measured
CaseLaw (Vals AI)	51.5%	Not measured	Only GLM 5.1 measured
CorpFin (Vals AI)	64.5%	Not measured	Only GLM 5.1 measured
TaxEval (Vals AI)	71.2%	Not measured	Only GLM 5.1 measured
MedCode (Vals AI)	41.6%	48.8%	GPT-6.1 Sol
SimpleQA Verified	34.0%	73.9%	GPT-6.1 Sol
LMArena Text: science	1478	1444	GLM 5.1
LMArena Text: medicine and healthcare	1474	1433	GLM 5.1
LMArena Text: legal and government	1465	1471	GPT-6.1 Sol
LMArena Text: business and finance	1452	1445	GLM 5.1
FACTS Benchmark Suite	Not measured	75.3%	Only GPT-6.1 Sol measured
Neither model has a result on the other 6 boards here

Web designLike-for-likePublic boards, shown as published, kept out of the index15

Web design benchmarks for GLM 5.1 and GPT-6.1 Sol
Benchmark	GLM 5.1	GPT-6.1 Sol	Leader
Design Arena: websites	1290	1321	GPT-6.1 Sol
Design Arena: UI components	1292	1317	GPT-6.1 Sol
Design Arena: game dev	1265	1389	GPT-6.1 Sol
Design Arena: data viz	1366	1281	GLM 5.1
Design Arena: 3D	1336	1460	GPT-6.1 Sol
Design Arena: all code categories	1268	1345	GPT-6.1 Sol
Design Arena: SVG	1218	Not measured	Only GLM 5.1 measured
Design Arena: ASCII art	1141	Not measured	Only GLM 5.1 measured
LiveBench design	Not measured	82.1%	Only GPT-6.1 Sol measured

GeneralLike-for-likePublic boards, shown as published, kept out of the index124

General benchmarks for GLM 5.1 and GPT-6.1 Sol
Benchmark	GLM 5.1	GPT-6.1 Sol	Leader
Vals Index	Not measured	63.9%	Only GPT-6.1 Sol measured
LiveBench data analysis	Not measured	82.7%	Only GPT-6.1 Sol measured
Public Benefits Bench (Vals AI)	61.8%	59.3%	GLM 5.1
SAGE (Vals AI)	Not measured	46.5%	Only GPT-6.1 Sol measured
MedScribe (Vals AI)	72.3%	86.5%	GPT-6.1 Sol
IFBench	76.3%	Not measured	Only GLM 5.1 measured
Long context reasoning (AA-LCR)	73.7%	84.0%	GPT-6.1 Sol
DTBench	Not measured	96.5%	Only GPT-6.1 Sol measured
LMCA	Not measured	62.8%	Only GPT-6.1 Sol measured
Furniture assembly	Not measured	80.0%	Only GPT-6.1 Sol measured
ExploitBench	18.1%	Not measured	Only GLM 5.1 measured
LMArena Text	1463	1443	GLM 5.1
LMArena Text: instruction following	1453	1466	GPT-6.1 Sol
LMArena Text: creative writing	1453	1425	GLM 5.1
LMArena Vision	Not measured	1288	Only GPT-6.1 Sol measured
LMArena Text: English	1476	1450	GLM 5.1
LMArena Text: non-English	1448	1433	GLM 5.1
LMArena Text: Chinese	1515	1487	GLM 5.1
LMArena Text: German	1467	Not measured	Only GLM 5.1 measured
LMArena Text: Japanese	1435	Not measured	Only GLM 5.1 measured
LMArena Text: Korean	1424	Not measured	Only GLM 5.1 measured
LMArena Text: French	1470	1460	GLM 5.1
LMArena Text: Spanish	1468	1439	GLM 5.1
LMArena Text: Russian	1454	1457	GPT-6.1 Sol
LMArena Text: Polish	1449	Not measured	Only GLM 5.1 measured
LMArena Text: multi-turn	1473	1442	GLM 5.1
LMArena Text: longer queries	1467	1458	GLM 5.1
LMArena Text: writing and language	1454	1444	GLM 5.1
LMArena Text: entertainment and media	1442	1426	GLM 5.1
LMArena Vision: English	Not measured	1274	Only GPT-6.1 Sol measured
LMArena Vision: reading text	Not measured	1289	Only GPT-6.1 Sol measured
LMArena Vision: creative writing	Not measured	1301	Only GPT-6.1 Sol measured
Neither model has a result on the other 14 boards here

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

Image generation benchmarks for GLM 5.1 and GPT-6.1 Sol
Benchmark	GLM 5.1	GPT-6.1 Sol	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 5.1$0.0036Fits in one request

GPT-6.1 Sol$0.0070Fits in one request

GLM 5.1 costs less

Repository review

50K input + 3K output tokens

GLM 5.1$0.083Fits in one request

GPT-6.1 Sol$0.130Fits in one request

GLM 5.1 costs less

Agent loop

200K input + 10K output tokens

GLM 5.1$0.324Exceeds the context window

GPT-6.1 Sol$0.500Fits in one request

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 GLM 5.1 and GPT-6.1 Sol
Specification	Z.ai GLM 5.1	OpenAI GPT-6.1 Sol
Maker	Z.ai	OpenAI
Weights	Open weights	No public weights listed
Released	April 7, 2026	September 29, 2026
Context window	205K	1.05M
Input $/Mtok	$1.40	$2.00
Output $/Mtok	$4.40	$10.00
Coding index	49.2	82.4
Independent measurements behind it	3	5
Cost per solved task	$0.60	Not computable
Source	OpenRouter listing	OpenRouter listing

Questions

Is GLM 5.1 better than GPT-6.1 Sol for coding?

Pick GPT-6.1 Sol for coding: it scores 82.4 on the Vibe Coding Index against 49.2 for GLM 5.1. Pick GLM 5.1 for output tokens 2.3x cheaper ($4.40 vs $10.00 per million) and work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.

Which is cheaper, GLM 5.1 or GPT-6.1 Sol?

GLM 5.1 costs $1.40 per million input tokens and $4.40 per million output tokens; GPT-6.1 Sol costs $2.00 and $10.00. Cost per solved task is known for GLM 5.1 only.

Which has the bigger context window, GLM 5.1 or GPT-6.1 Sol?

GPT-6.1 Sol, with 1.05M tokens against 205K.

How many benchmarks is the GLM 5.1 vs GPT-6.1 Sol comparison based on?

57 benchmarks have a result for both models as of October 22, 2026. GLM 5.1's coding index rests on 3 independent benchmarks and GPT-6.1 Sol's on 5. Where only one model has a result, the page says so instead of naming a winner.

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GLM 5.1 or GPT-6.1 Sol: which to pick

Which one for your work

Coding

Intelligence

Agentic work

Reasoning

Math

Knowledge

Web design

General

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