GPT-5.1 vs Qwen3.5-122B-A10B

Updated October 21, 2026. 50 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace GPT-5.1 Replace Qwen3.5-122B-A10B

GPT-5.1OpenAI

Coding: 53.3
Overall: 24.7
Output $/M: $10.00

Qwen3.5-122B-A10BQwen

Coding: 22.9
Overall: 17.7
Output $/M: $2.08

vs boards won of 50 shared

Decision reading

Pick GPT-5.1 for coding: it scores 53.3 on the Vibe Coding Index against 22.9 for Qwen3.5-122B-A10B.

Pick Qwen3.5-122B-A10B when output tokens cost 4.8x less, or when what matters is LMArena WebDev: React or τ²-Bench Telecom, where it leads.

Model AGPT-5.1OpenAI53.3/1002 independent benchmarks$1.02 per solved task Model BQwen3.5-122B-A10BQwen22.9/1001 independent benchmarkNo cost per solved task

50501

Shared results: 50
GPT-5.1 only: 50
Qwen3.5-122B-A10B only: 1
Like-for-like categories: 7 of 9

Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.

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, four public coding benchmarks
GPT-5.1
GPT-5.1 scores 53.3 against 22.9.
2 and 1 benchmarks behind the scores
Intelligence
AA Intelligence Index
GPT-5.1
GPT-5.1 leads, 24.7 against 17.7.
Same board, both measured
Reasoning
GPQA Diamond
No call
Only GPT-5.1 has a GPQA Diamond result, 86.6%.
Directional only
Math
AIME
No call
Only GPT-5.1 has a AIME result, 93.3%.
Directional only
Knowledge
MMLU Pro
No call
Only GPT-5.1 has a MMLU Pro result, 86.4%.
Directional only
Web design
Design Arena: websites
No call
Only GPT-5.1 has a Design Arena: websites result, 1187.
Directional only
Long documents
Listed context window
GPT-5.1
GPT-5.1 takes 400K tokens against 262K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Qwen3.5-122B-A10B
GPT-5.1 $0.0063, Qwen3.5-122B-A10B $0.0013 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only GPT-5.1 has the number, $1.02.
Directional only

At a glance

Coding index: GPT-5.1 53.3 from 2 benchmarks, Qwen3.5-122B-A10B 22.9 from 1 benchmark.
Widest category: Agentic work, 11.7 points apart on average over 1 shared benchmark.
Widest single gap: Terminal-Bench Hard (Artificial Analysis run): GPT-5.1 45.5% against Qwen3.5-122B-A10B 31.1%, 14.4 points apart on a 0 to 100 scale.
Output price: GPT-5.1 $10.00 against Qwen3.5-122B-A10B $2.08 per million output tokens, 4.8x apart.
Context window: GPT-5.1 takes 400K tokens, Qwen3.5-122B-A10B 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	GPT-5.1	Qwen3.5-122B-A10B
Coding	6	1
Intelligence	1	0
Agentic work	0	1
Reasoning	8	0
Math	2	0
Knowledge	4	0
General	25	2
All shared boards	46	4

CodingLike-for-likeFour of these boards feed the Vibe Coding Index61

Coding benchmarks for GPT-5.1 and Qwen3.5-122B-A10B
Benchmark	GPT-5.1	Qwen3.5-122B-A10B	Leader
SWE-bench Verified	66.0%	Not measured	Only GPT-5.1 measured
LMArena WebDev	1396	1361	GPT-5.1
AA Coding Index	49.4	43.3	GPT-5.1
LiveCodeBench (Vals AI)	86.5%	Not measured	Only GPT-5.1 measured
SWE-bench Verified (Vals AI)	69.8%	Not measured	Only GPT-5.1 measured
Vibe Code Bench (Vals AI)	24.6%	Not measured	Only GPT-5.1 measured
LiveCodeBench (Artificial Analysis run)	86.8%	Not measured	Only GPT-5.1 measured
SciCode	Not measured	39.7%	Only Qwen3.5-122B-A10B measured
Terminal-Bench Hard (Artificial Analysis run)	45.5%	31.1%	GPT-5.1
Terminal-Bench	47.6%	Not measured	Only GPT-5.1 measured
GSO-Bench	13.7%	Not measured	Only GPT-5.1 measured
WeirdML	60.8%	Not measured	Only GPT-5.1 measured
LMArena Text: coding	1453	1436	GPT-5.1
LMArena Text: software and IT	1454	1436	GPT-5.1
LMArena WebDev: React	1307	1353	Qwen3.5-122B-A10B
LMArena WebDev: HTML	1405	1351	GPT-5.1
LMArena WebDev: from an image	1421	Not measured	Only GPT-5.1 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 GPT-5.1 and Qwen3.5-122B-A10B
Benchmark	GPT-5.1	Qwen3.5-122B-A10B	Leader
AA Intelligence Index	24.7	17.7	GPT-5.1
Epoch Capabilities Index	149.8	Not measured	Only GPT-5.1 measured

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

Agentic work benchmarks for GPT-5.1 and Qwen3.5-122B-A10B
Benchmark	GPT-5.1	Qwen3.5-122B-A10B	Leader
τ²-Bench Telecom	81.9%	93.6%	Qwen3.5-122B-A10B
DeepResearch Bench	42.8%	Not measured	Only GPT-5.1 measured
Vending-Bench 2	$1,473	Not measured	Only GPT-5.1 measured
Neither model has a result on the other 36 boards here

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

Reasoning benchmarks for GPT-5.1 and Qwen3.5-122B-A10B
Benchmark	GPT-5.1	Qwen3.5-122B-A10B	Leader
GPQA Diamond	86.6%	Not measured	Only GPT-5.1 measured
MMMU Pro (Vals AI)	83.2%	Not measured	Only GPT-5.1 measured
GPQA Diamond (Artificial Analysis run)	87.3%	85.7%	GPT-5.1
Humanity's Last Exam (Artificial Analysis run)	28.5%	25.2%	GPT-5.1
GPQA Diamond (Epoch AI run)	87.6%	Not measured	Only GPT-5.1 measured
ARC-AGI	72.8%	Not measured	Only GPT-5.1 measured
ARC-AGI-2	17.6%	Not measured	Only GPT-5.1 measured
SimpleBench	53.2%	Not measured	Only GPT-5.1 measured
Chess puzzles	42.0%	Not measured	Only GPT-5.1 measured
Mystery game puzzles	19.0%	17.0%	GPT-5.1
VPCT	58.7%	Not measured	Only GPT-5.1 measured
LMArena Text: hard prompts	1457	1421	GPT-5.1
LMArena Text: expert	1470	1431	GPT-5.1
LMArena Text: hard prompts in English	1462	1431	GPT-5.1
LMArena Vision: diagrams	1264	1249	GPT-5.1
LMArena Vision: homework	1272	1261	GPT-5.1
Neither model has a result on the other 5 boards here

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

Math benchmarks for GPT-5.1 and Qwen3.5-122B-A10B
Benchmark	GPT-5.1	Qwen3.5-122B-A10B	Leader
AIME	93.3%	Not measured	Only GPT-5.1 measured
MGSM (Vals AI)	93.0%	Not measured	Only GPT-5.1 measured
AA Math Index	94.0	Not measured	Only GPT-5.1 measured
AIME 2025 (Artificial Analysis run)	94.0%	Not measured	Only GPT-5.1 measured
OTIS Mock AIME	88.6%	Not measured	Only GPT-5.1 measured
LMArena Text: math	1446	1431	GPT-5.1
LMArena Text: mathematical work	1449	1431	GPT-5.1
Neither model has a result on the other 6 boards here

KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40

Knowledge benchmarks for GPT-5.1 and Qwen3.5-122B-A10B
Benchmark	GPT-5.1	Qwen3.5-122B-A10B	Leader
MMLU Pro	86.4%	Not measured	Only GPT-5.1 measured
LegalBench (Vals AI)	85.7%	Not measured	Only GPT-5.1 measured
CaseLaw (Vals AI)	73.4%	Not measured	Only GPT-5.1 measured
CorpFin (Vals AI)	63.8%	Not measured	Only GPT-5.1 measured
TaxEval (Vals AI)	74.9%	Not measured	Only GPT-5.1 measured
MortgageTax (Vals AI)	61.4%	Not measured	Only GPT-5.1 measured
MedQA (Vals AI)	96.4%	Not measured	Only GPT-5.1 measured
MedCode (Vals AI)	52.7%	Not measured	Only GPT-5.1 measured
MMLU Pro (Artificial Analysis run)	87.0%	Not measured	Only GPT-5.1 measured
SimpleQA Verified	48.0%	Not measured	Only GPT-5.1 measured
LMArena Text: science	1459	1432	GPT-5.1
LMArena Text: medicine and healthcare	1456	1423	GPT-5.1
LMArena Text: legal and government	1459	1422	GPT-5.1
LMArena Text: business and finance	1431	1414	GPT-5.1
Neither model has a result on the other 3 boards here

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

Web design benchmarks for GPT-5.1 and Qwen3.5-122B-A10B
Benchmark	GPT-5.1	Qwen3.5-122B-A10B	Leader
Design Arena: websites	1187	Not measured	Only GPT-5.1 measured
Design Arena: UI components	1166	Not measured	Only GPT-5.1 measured
Design Arena: game dev	1179	Not measured	Only GPT-5.1 measured
Design Arena: data viz	1204	Not measured	Only GPT-5.1 measured
Design Arena: 3D	1061	Not measured	Only GPT-5.1 measured
Design Arena: all code categories	1171	Not measured	Only GPT-5.1 measured
Design Arena: SVG	1149	Not measured	Only GPT-5.1 measured
Design Arena: ASCII art	1118	Not measured	Only GPT-5.1 measured
Neither model has a result on the other 1 board here

GeneralLike-for-likePublic boards, shown as published, kept out of the index252

General benchmarks for GPT-5.1 and Qwen3.5-122B-A10B
Benchmark	GPT-5.1	Qwen3.5-122B-A10B	Leader
SAGE (Vals AI)	43.2%	Not measured	Only GPT-5.1 measured
MedScribe (Vals AI)	88.1%	Not measured	Only GPT-5.1 measured
IFBench	72.9%	75.7%	Qwen3.5-122B-A10B
Long context reasoning (AA-LCR)	80.0%	76.3%	GPT-5.1
DTBench	90.1%	84.3%	GPT-5.1
LMCA	43.9%	32.2%	GPT-5.1
CL-bench	23.7%	Not measured	Only GPT-5.1 measured
CL-bench Life	17.3%	Not measured	Only GPT-5.1 measured
LMArena Text	1443	1417	GPT-5.1
LMArena Text: instruction following	1443	1399	GPT-5.1
LMArena Text: creative writing	1427	1368	GPT-5.1
LMArena Vision	1250	1244	GPT-5.1
LMArena Text: English	1451	1428	GPT-5.1
LMArena Text: non-English	1431	1401	GPT-5.1
LMArena Text: Chinese	1495	1463	GPT-5.1
LMArena Text: German	1438	1425	GPT-5.1
LMArena Text: Japanese	1453	1367	GPT-5.1
LMArena Text: Korean	1401	1353	GPT-5.1
LMArena Text: French	1450	1443	GPT-5.1
LMArena Text: Spanish	1433	1425	GPT-5.1
LMArena Text: Russian	1435	1400	GPT-5.1
LMArena Text: Polish	1440	1398	GPT-5.1
LMArena Text: multi-turn	1450	1416	GPT-5.1
LMArena Text: longer queries	1448	1410	GPT-5.1
LMArena Text: writing and language	1428	1387	GPT-5.1
LMArena Text: entertainment and media	1415	1366	GPT-5.1
LMArena Vision: English	1252	1249	GPT-5.1
LMArena Vision: Chinese	1270	1301	Qwen3.5-122B-A10B
LMArena Vision: reading text	1255	1251	GPT-5.1
LMArena Vision: humor	1263	1243	GPT-5.1
LMArena Vision: captioning	1252	Not measured	Only GPT-5.1 measured
LMArena Vision: recognizing things	1232	Not measured	Only GPT-5.1 measured
LMArena Vision: creative writing	1266	1220	GPT-5.1
LMArena Document	1403	Not measured	Only GPT-5.1 measured
Neither model has a result on the other 12 boards here

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

Image generation benchmarks for GPT-5.1 and Qwen3.5-122B-A10B
Benchmark	GPT-5.1	Qwen3.5-122B-A10B	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

GPT-5.1$0.0063Fits in one request

Qwen3.5-122B-A10B$0.0013Fits in one request

Qwen3.5-122B-A10B costs less

Repository review

50K input + 3K output tokens

GPT-5.1$0.092Fits in one request

Qwen3.5-122B-A10B$0.019Fits in one request

Qwen3.5-122B-A10B costs less

Agent loop

200K input + 10K output tokens

GPT-5.1$0.350Fits in one request

Qwen3.5-122B-A10B$0.073Fits in one request

Qwen3.5-122B-A10B 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 GPT-5.1 and Qwen3.5-122B-A10B
Specification	OpenAI GPT-5.1	Qwen3.5-122B-A10B
Maker	OpenAI	Qwen
Weights	No public weights listed	Open weights
Released	November 13, 2025	February 25, 2026
Context window	400K	262K
Input $/Mtok	$1.25	$0.26
Output $/Mtok	$10.00	$2.08
Coding index	53.3	22.9
Independent measurements behind it	2	1
Cost per solved task	$1.02	Not computable
Source	OpenRouter listing	OpenRouter listing

Questions

Is GPT-5.1 better than Qwen3.5-122B-A10B for coding?

Pick GPT-5.1 for coding: it scores 53.3 on the Vibe Coding Index against 22.9 for Qwen3.5-122B-A10B. Pick Qwen3.5-122B-A10B when output tokens cost 4.8x less, or when what matters is LMArena WebDev: React or τ²-Bench Telecom, where it leads.

Which is cheaper, GPT-5.1 or Qwen3.5-122B-A10B?

GPT-5.1 costs $1.25 per million input tokens and $10.00 per million output tokens; Qwen3.5-122B-A10B costs $0.26 and $2.08. Cost per solved task is known for GPT-5.1 only.

Which has the bigger context window, GPT-5.1 or Qwen3.5-122B-A10B?

GPT-5.1, with 400K tokens against 262K.

How many benchmarks is the GPT-5.1 vs Qwen3.5-122B-A10B comparison based on?

50 benchmarks have a result for both models as of October 21, 2026. GPT-5.1's coding index rests on 2 independent benchmarks and Qwen3.5-122B-A10B's on 1. Where only one model has a result, the page says so instead of naming a winner.

Decision reading

Which one for your work

Coding

Intelligence

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

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