Claude Opus 4.1 vs Qwen3.5-122B-A10B

Claude Opus 4.1 leads Qwen3.5-122B-A10B on the Artificial Analysis Intelligence Index, 22.8 to 17.7, and Qwen3.5-122B-A10B costs 36.1x less per output token ($2.08 vs $75.00 per million). Updated October 22, 2026; 34 benchmarks have a result for both.

Replace Claude Opus 4.1 Replace Qwen3.5-122B-A10B

Claude Opus 4.1Anthropic

Coding: No data
Overall: 50.2
Output $/M: $75.00

Qwen3.5-122B-A10BQwen

Coding: No data
Overall: No data
Output $/M: $2.08

vs boards won of 34 shared

Claude Opus 4.1 or Qwen3.5-122B-A10B: which to pick

Neither model has a coding score yet, so the two cannot be ranked on coding.

Pick Claude Opus 4.1 for work measured by LMArena Text: math or LMArena Text: science, where it leads.

Model AClaude Opus 4.1AnthropicNot benchmarked1 independent benchmarkNo cost per solved task Model BQwen3.5-122B-A10BQwenNot benchmarked1 independent benchmarkNo cost per solved task

344217

Shared results: 34
Claude Opus 4.1 only: 42
Qwen3.5-122B-A10B only: 17
Like-for-like categories: 6 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
No call
Neither has a coding score yet.
One side not measured
Intelligence
AA Intelligence Index
Claude Opus 4.1
Claude Opus 4.1 leads, 22.8 against 17.7.
Same board, both measured
Reasoning
GPQA Diamond
No call
Only Claude Opus 4.1 has a GPQA Diamond result, 76.3%.
Directional only
Math
AIME
No call
Only Claude Opus 4.1 has a AIME result, 78.2%.
Directional only
Knowledge
MMLU Pro
No call
Only Claude Opus 4.1 has a MMLU Pro result, 87.9%.
Directional only
Web design
Design Arena: websites
No call
Only Claude Opus 4.1 has a Design Arena: websites result, 1176.
Directional only
Long documents
Listed context window
Qwen3.5-122B-A10B
Qwen3.5-122B-A10B takes 262K tokens against 200K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Qwen3.5-122B-A10B
Claude Opus 4.1 $0.052, Qwen3.5-122B-A10B $0.0013 per turn.
List prices

At a glance

Coding index: Claude Opus 4.1 not benchmarked, Qwen3.5-122B-A10B not benchmarked.
Widest category: Coding, 5.7 points apart on average over 4 shared benchmarks.
Widest single gap: LMArena WebDev: HTML: Claude Opus 4.1 1399 against Qwen3.5-122B-A10B 1351, 7.9 points apart on a 0 to 100 scale.
Output price: Claude Opus 4.1 $75.00 against Qwen3.5-122B-A10B $2.08 per million output tokens, 36.1x apart.
Context window: Claude Opus 4.1 takes 200K 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	Claude Opus 4.1	Qwen3.5-122B-A10B
Coding	4	0
Intelligence	1	0
Reasoning	4	0
Math	1	1
Knowledge	0	4
General	15	4
All shared boards	25	9

CodingLike-for-likeSix of these boards feed the Vibe Coding Index40

Coding benchmarks for Claude Opus 4.1 and Qwen3.5-122B-A10B
Benchmark	Claude Opus 4.1	Qwen3.5-122B-A10B	Leader
LMArena WebDev	1390	1361	Claude Opus 4.1
AA Coding Index	Not measured	43.3	Only Qwen3.5-122B-A10B measured
LiveCodeBench (Vals AI)	66.5%	Not measured	Only Claude Opus 4.1 measured
SciCode	Not measured	39.7%	Only Qwen3.5-122B-A10B measured
Terminal-Bench Hard (Artificial Analysis run)	Not measured	31.1%	Only Qwen3.5-122B-A10B measured
Terminal-Bench	38.0%	Not measured	Only Claude Opus 4.1 measured
WeirdML	45.9%	Not measured	Only Claude Opus 4.1 measured
Cybench	42.0%	Not measured	Only Claude Opus 4.1 measured
LMArena Text: coding	1479	1436	Claude Opus 4.1
LMArena Text: software and IT	1456	1436	Claude Opus 4.1
LMArena WebDev: React	Not measured	1353	Only Qwen3.5-122B-A10B measured
LMArena WebDev: HTML	1399	1351	Claude Opus 4.1
SciCode	4.6%	Not measured	Only Claude Opus 4.1 measured
Neither model has a result on the other 30 boards here

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

Intelligence benchmarks for Claude Opus 4.1 and Qwen3.5-122B-A10B
Benchmark	Claude Opus 4.1	Qwen3.5-122B-A10B	Leader
AA Intelligence Index	22.8	17.7	Claude Opus 4.1
Epoch Capabilities Index	144.1	Not measured	Only Claude Opus 4.1 measured

Agentic workDirectional onlyPublic boards, shown as published, kept out of the index4 boards, none shared

Agentic work benchmarks for Claude Opus 4.1 and Qwen3.5-122B-A10B
Benchmark	Claude Opus 4.1	Qwen3.5-122B-A10B	Leader
τ²-Bench Telecom	Not measured	93.6%	Only Qwen3.5-122B-A10B measured
METR time horizons	66.8%	Not measured	Only Claude Opus 4.1 measured
GDPval	43.6%	Not measured	Only Claude Opus 4.1 measured
DeepResearch Bench	48.3%	Not measured	Only Claude Opus 4.1 measured
Neither model has a result on the other 38 boards here

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

Reasoning benchmarks for Claude Opus 4.1 and Qwen3.5-122B-A10B
Benchmark	Claude Opus 4.1	Qwen3.5-122B-A10B	Leader
GPQA Diamond	76.3%	Not measured	Only Claude Opus 4.1 measured
MMMU Pro (Vals AI)	77.5%	Not measured	Only Claude Opus 4.1 measured
GPQA Diamond (Artificial Analysis run)	Not measured	85.7%	Only Qwen3.5-122B-A10B measured
Humanity's Last Exam (Artificial Analysis run)	Not measured	25.2%	Only Qwen3.5-122B-A10B measured
GPQA Diamond (Epoch AI run)	77.3%	Not measured	Only Claude Opus 4.1 measured
SimpleBench	60.0%	Not measured	Only Claude Opus 4.1 measured
Mystery game puzzles	21.0%	17.0%	Claude Opus 4.1
EBR-bench	7.9%	Not measured	Only Claude Opus 4.1 measured
VPCT	35.0%	Not measured	Only Claude Opus 4.1 measured
LMArena Text: hard prompts	1442	1421	Claude Opus 4.1
LMArena Text: expert	1438	1431	Claude Opus 4.1
LMArena Text: hard prompts in English	1451	1431	Claude Opus 4.1
LMArena Vision: diagrams	Not measured	1249	Only Qwen3.5-122B-A10B measured
LMArena Vision: homework	Not measured	1261	Only Qwen3.5-122B-A10B measured
Neither model has a result on the other 9 boards here

MathLike-for-likePublic boards, shown as published, kept out of the index11

Math benchmarks for Claude Opus 4.1 and Qwen3.5-122B-A10B
Benchmark	Claude Opus 4.1	Qwen3.5-122B-A10B	Leader
AIME	78.2%	Not measured	Only Claude Opus 4.1 measured
MATH 500 (Vals AI)	95.4%	Not measured	Only Claude Opus 4.1 measured
MGSM (Vals AI)	94.4%	Not measured	Only Claude Opus 4.1 measured
OTIS Mock AIME	68.9%	Not measured	Only Claude Opus 4.1 measured
FrontierMath, tiers 1 to 3	12.6%	Not measured	Only Claude Opus 4.1 measured
FrontierMath, tier 4	2.4%	Not measured	Only Claude Opus 4.1 measured
LMArena Text: math	1431	1431	Qwen3.5-122B-A10B
LMArena Text: mathematical work	1434	1431	Claude Opus 4.1
Neither model has a result on the other 6 boards here

KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04

Knowledge benchmarks for Claude Opus 4.1 and Qwen3.5-122B-A10B
Benchmark	Claude Opus 4.1	Qwen3.5-122B-A10B	Leader
MMLU Pro	87.9%	Not measured	Only Claude Opus 4.1 measured
LegalBench (Vals AI)	83.5%	Not measured	Only Claude Opus 4.1 measured
TaxEval (Vals AI)	73.7%	Not measured	Only Claude Opus 4.1 measured
MortgageTax (Vals AI)	61.1%	Not measured	Only Claude Opus 4.1 measured
MedQA (Vals AI)	93.6%	Not measured	Only Claude Opus 4.1 measured
MedCode (Vals AI)	47.2%	Not measured	Only Claude Opus 4.1 measured
LMArena Text: science	1422	1432	Qwen3.5-122B-A10B
LMArena Text: medicine and healthcare	1416	1423	Qwen3.5-122B-A10B
LMArena Text: legal and government	1421	1422	Qwen3.5-122B-A10B
LMArena Text: business and finance	1406	1414	Qwen3.5-122B-A10B
FACTS Benchmark Suite	40.4%	Not measured	Only Claude Opus 4.1 measured
PRBench Finance	35.2%	Not measured	Only Claude Opus 4.1 measured
PRBench Legal	34.0%	Not measured	Only Claude Opus 4.1 measured
Neither model has a result on the other 7 boards here

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

Web design benchmarks for Claude Opus 4.1 and Qwen3.5-122B-A10B
Benchmark	Claude Opus 4.1	Qwen3.5-122B-A10B	Leader
Design Arena: websites	1176	Not measured	Only Claude Opus 4.1 measured
Design Arena: UI components	1162	Not measured	Only Claude Opus 4.1 measured
Design Arena: game dev	1171	Not measured	Only Claude Opus 4.1 measured
Design Arena: data viz	1166	Not measured	Only Claude Opus 4.1 measured
Design Arena: 3D	1152	Not measured	Only Claude Opus 4.1 measured
Design Arena: all code categories	1170	Not measured	Only Claude Opus 4.1 measured
Design Arena: SVG	1151	Not measured	Only Claude Opus 4.1 measured
Design Arena: ASCII art	1167	Not measured	Only Claude Opus 4.1 measured
Neither model has a result on the other 1 board here

GeneralLike-for-likePublic boards, shown as published, kept out of the index154

General benchmarks for Claude Opus 4.1 and Qwen3.5-122B-A10B
Benchmark	Claude Opus 4.1	Qwen3.5-122B-A10B	Leader
SAGE (Vals AI)	31.4%	Not measured	Only Claude Opus 4.1 measured
MedScribe (Vals AI)	73.9%	Not measured	Only Claude Opus 4.1 measured
IFBench	Not measured	75.7%	Only Qwen3.5-122B-A10B measured
Long context reasoning (AA-LCR)	Not measured	76.3%	Only Qwen3.5-122B-A10B measured
DTBench	80.0%	84.3%	Qwen3.5-122B-A10B
LMCA	37.1%	32.2%	Claude Opus 4.1
Creative writing (Lech Mazur)	84.7%	Not measured	Only Claude Opus 4.1 measured
LMArena Text	1419	1417	Claude Opus 4.1
LMArena Text: instruction following	1435	1399	Claude Opus 4.1
LMArena Text: creative writing	1412	1368	Claude Opus 4.1
LMArena Vision	Not measured	1244	Only Qwen3.5-122B-A10B measured
LMArena Text: English	1433	1428	Claude Opus 4.1
LMArena Text: non-English	1405	1401	Claude Opus 4.1
LMArena Text: Chinese	1427	1463	Qwen3.5-122B-A10B
LMArena Text: German	1413	1425	Qwen3.5-122B-A10B
LMArena Text: Japanese	1377	1367	Claude Opus 4.1
LMArena Text: Korean	1381	1353	Claude Opus 4.1
LMArena Text: French	1433	1443	Qwen3.5-122B-A10B
LMArena Text: Spanish	1448	1425	Claude Opus 4.1
LMArena Text: Russian	1422	1400	Claude Opus 4.1
LMArena Text: Polish	1413	1398	Claude Opus 4.1
LMArena Text: multi-turn	1444	1416	Claude Opus 4.1
LMArena Text: longer queries	1455	1410	Claude Opus 4.1
LMArena Text: writing and language	1418	1387	Claude Opus 4.1
LMArena Text: entertainment and media	1398	1366	Claude Opus 4.1
LMArena Vision: English	Not measured	1249	Only Qwen3.5-122B-A10B measured
LMArena Vision: Chinese	Not measured	1301	Only Qwen3.5-122B-A10B measured
LMArena Vision: reading text	Not measured	1251	Only Qwen3.5-122B-A10B measured
LMArena Vision: humor	Not measured	1243	Only Qwen3.5-122B-A10B measured
LMArena Vision: creative writing	Not measured	1220	Only Qwen3.5-122B-A10B measured
MultiChallenge	57.2%	Not measured	Only Claude Opus 4.1 measured
Neither model has a result on the other 17 boards here

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

Image generation benchmarks for Claude Opus 4.1 and Qwen3.5-122B-A10B
Benchmark	Claude Opus 4.1	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

Claude Opus 4.1$0.052Fits 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

Claude Opus 4.1$0.975Fits 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

Claude Opus 4.1$3.75Exceeds the context window

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 Claude Opus 4.1 and Qwen3.5-122B-A10B
Specification	Anthropic Claude Opus 4.1	Qwen3.5-122B-A10B
Maker	Anthropic	Qwen
Weights	No public weights listed	Open weights
Released	August 5, 2025	February 25, 2026
Context window	200K	262K
Input $/Mtok	$15.00	$0.26
Output $/Mtok	$75.00	$2.08
Coding index	Not benchmarked	Not benchmarked
Independent measurements behind it	1	1
Cost per solved task	Not computable	Not computable
Source	OpenRouter listing	OpenRouter listing

Questions

Is Claude Opus 4.1 better than Qwen3.5-122B-A10B for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Claude Opus 4.1 for work measured by LMArena Text: math or LMArena Text: science, where it leads.

Which is cheaper, Claude Opus 4.1 or Qwen3.5-122B-A10B?

Claude Opus 4.1 costs $15.00 per million input tokens and $75.00 per million output tokens; Qwen3.5-122B-A10B costs $0.26 and $2.08. Cost per solved task is known for neither of them.

Which has the bigger context window, Claude Opus 4.1 or Qwen3.5-122B-A10B?

Qwen3.5-122B-A10B, with 262K tokens against 200K.

How many benchmarks is the Claude Opus 4.1 vs Qwen3.5-122B-A10B comparison based on?

34 benchmarks have a result for both models as of October 22, 2026. Claude Opus 4.1's coding index rests on 1 independent benchmark and Qwen3.5-122B-A10B's on 1. Where only one model has a result, the page says so instead of naming a winner.

Claude Opus 4.1 or Qwen3.5-122B-A10B: which to pick

Which one for your work

Coding

Intelligence

Reasoning

Math

Knowledge

Web design

Long documents

Everyday cost

At a glance

Benchmark by benchmark

What each workload costs

Chat turn

Repository review

Agent loop

Specification differences

Questions

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