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Claude Fable 5 vs Qwen3.5-122B-A10B

Claude Fable 5 leads Qwen3.5-122B-A10B on the Artificial Analysis Intelligence Index, 49.6 to 17.7, and Qwen3.5-122B-A10B costs 24.0x less per output token ($2.08 vs $50.00 per million). Updated October 22, 2026; 51 benchmarks have a result for both.

Claude Fable 5Anthropic
Coding
79.3
Overall
79.0
Output $/M
$50.00
50
Qwen3.5-122B-A10BQwen
Coding
No data
Overall
No data
Output $/M
$2.08
1
vs boards won of 51 shared

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

Only Claude Fable 5 has a coding score, 79.3 on the Vibe Coding Index; Qwen3.5-122B-A10B has none, so the two cannot be ranked on coding.

Pick Qwen3.5-122B-A10B for output tokens 24.0x cheaper ($2.08 vs $50.00 per million) and work measured by IFBench, where it leads.

Shared results
51
Claude Fable 5 only
84
Qwen3.5-122B-A10B only
0
Like-for-like categories
7 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.

At a glance

Coding index
Claude Fable 5 79.3 from 6 benchmarks, Qwen3.5-122B-A10B not benchmarked.
Widest category
Intelligence, 31.9 points apart on average over 1 shared benchmark.
Widest single gap
LMArena WebDev: HTML: Claude Fable 5 1651 against Qwen3.5-122B-A10B 1351, 41.4 points apart on a 0 to 100 scale.
Output price
Claude Fable 5 $50.00 against Qwen3.5-122B-A10B $2.08 per million output tokens, 24.0x apart.
Context window
Claude Fable 5 takes 1M 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
CategoryClaude Fable 5BarsQwen3.5-122B-A10BTies
Coding80
Intelligence10
Agentic work10
Reasoning80
Math20
Knowledge40
General261
All shared boards501
CodingLike-for-likeSix of these boards feed the Vibe Coding Index80
Coding benchmarks for Claude Fable 5 and Qwen3.5-122B-A10B
BenchmarkClaude Fable 5Qwen3.5-122B-A10BLeader
LiveBench coding98.3%Not measuredOnly Claude Fable 5 measured
LMArena WebDev16241361Claude Fable 5
AA Coding Index76.543.3Claude Fable 5
LiveCodeBench (Vals AI)89.8%Not measuredOnly Claude Fable 5 measured
SWE-bench Verified (Vals AI)95.0%Not measuredOnly Claude Fable 5 measured
Terminal-Bench 4 (Vals AI)41.4%Not measuredOnly Claude Fable 5 measured
Vibe Code Bench (Vals AI)90.3%Not measuredOnly Claude Fable 5 measured
Code migration (Vals AI)55.1%Not measuredOnly Claude Fable 5 measured
ProgramBench (Vals AI)2.0%Not measuredOnly Claude Fable 5 measured
Terminal-Bench 2.1 (Vals AI)80.5%Not measuredOnly Claude Fable 5 measured
SciCode61.0%39.7%Claude Fable 5
Terminal-Bench Hard (Artificial Analysis run)62.9%31.1%Claude Fable 5
FrontierCode53.5%Not measuredOnly Claude Fable 5 measured
FrontierSWE47.0%Not measuredOnly Claude Fable 5 measured
GSO-Bench78.4%Not measuredOnly Claude Fable 5 measured
WeirdML91.9%Not measuredOnly Claude Fable 5 measured
MirrorCode63.9%Not measuredOnly Claude Fable 5 measured
ALE-Bench2041.3Not measuredOnly Claude Fable 5 measured
LMArena Text: coding15181436Claude Fable 5
LMArena Text: software and IT15131436Claude Fable 5
LMArena WebDev: React16311353Claude Fable 5
LMArena WebDev: HTML16511351Claude Fable 5
LMArena WebDev: from an image1623Not measuredOnly Claude Fable 5 measured
SWE Atlas: Codebase QnA39.0%Not measuredOnly Claude Fable 5 measured
SWE Atlas: Refactoring54.8%Not measuredOnly Claude Fable 5 measured
SWE Atlas: Test Writing55.6%Not measuredOnly Claude Fable 5 measured
Neither model has a result on the other 17 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Claude Fable 5 and Qwen3.5-122B-A10B
BenchmarkClaude Fable 5Qwen3.5-122B-A10BLeader
AA Intelligence Index49.617.7Claude Fable 5
Epoch Capabilities Index163.4Not measuredOnly Claude Fable 5 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for Claude Fable 5 and Qwen3.5-122B-A10B
BenchmarkClaude Fable 5Qwen3.5-122B-A10BLeader
AA Agentic Index50.7Not measuredOnly Claude Fable 5 measured
Design Arena: agents building web apps1261Not measuredOnly Claude Fable 5 measured
Design Arena: agents building full-stack apps1280Not measuredOnly Claude Fable 5 measured
Design Arena: agents building mobile apps1263Not measuredOnly Claude Fable 5 measured
Design Arena: agents building Android apps1283Not measuredOnly Claude Fable 5 measured
Design Arena: agents building Godot games1292Not measuredOnly Claude Fable 5 measured
Design Arena: agents building games1285Not measuredOnly Claude Fable 5 measured
Design Arena: HTML slides1216Not measuredOnly Claude Fable 5 measured
Design Arena: PowerPoint slides1269Not measuredOnly Claude Fable 5 measured
LiveBench research86.9%Not measuredOnly Claude Fable 5 measured
LiveBench browser92.0%Not measuredOnly Claude Fable 5 measured
LiveBench long agentic53.2%Not measuredOnly Claude Fable 5 measured
Finance Agent (Vals AI)56.3%Not measuredOnly Claude Fable 5 measured
Tax Agent Bench (Vals AI)38.3%Not measuredOnly Claude Fable 5 measured
Legal Research Bench (Vals AI)49.5%Not measuredOnly Claude Fable 5 measured
Excel Modeling Benchmark (Vals AI)73.7%Not measuredOnly Claude Fable 5 measured
Terminal-Bench-Science (Vals AI)15.7%Not measuredOnly Claude Fable 5 measured
τ²-Bench Telecom98.5%93.6%Claude Fable 5
APEX-Agents63.6%Not measuredOnly Claude Fable 5 measured
Remote Labor Index16.1%Not measuredOnly Claude Fable 5 measured
PostTrainBench41.8%Not measuredOnly Claude Fable 5 measured
Vending-Bench 2$5,680Not measuredOnly Claude Fable 5 measured
LMArena Search1229Not measuredOnly Claude Fable 5 measured
MCP Atlas83.3%Not measuredOnly Claude Fable 5 measured
Neither model has a result on the other 18 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index80
Reasoning benchmarks for Claude Fable 5 and Qwen3.5-122B-A10B
BenchmarkClaude Fable 5Qwen3.5-122B-A10BLeader
GPQA Diamond93.2%Not measuredOnly Claude Fable 5 measured
LiveBench reasoning89.7%Not measuredOnly Claude Fable 5 measured
MMMU Pro (Vals AI)89.3%Not measuredOnly Claude Fable 5 measured
GPQA Diamond (Artificial Analysis run)92.6%85.7%Claude Fable 5
Humanity's Last Exam (Artificial Analysis run)55.5%25.2%Claude Fable 5
GPQA Diamond (Epoch AI run)85.9%Not measuredOnly Claude Fable 5 measured
ARC-AGI98.5%Not measuredOnly Claude Fable 5 measured
ARC-AGI-289.2%Not measuredOnly Claude Fable 5 measured
SimpleBench81.9%Not measuredOnly Claude Fable 5 measured
Chess puzzles47.0%Not measuredOnly Claude Fable 5 measured
Mystery game puzzles52.0%17.0%Claude Fable 5
EBR-bench39.5%Not measuredOnly Claude Fable 5 measured
LMArena Text: hard prompts15071421Claude Fable 5
LMArena Text: expert15341431Claude Fable 5
LMArena Text: hard prompts in English15091431Claude Fable 5
LMArena Vision: diagrams13571249Claude Fable 5
LMArena Vision: homework13611261Claude Fable 5
Kagi LLM Benchmark91.4%Not measuredOnly Claude Fable 5 measured
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 Claude Fable 5 and Qwen3.5-122B-A10B
BenchmarkClaude Fable 5Qwen3.5-122B-A10BLeader
OTIS Mock AIME100.0%Not measuredOnly Claude Fable 5 measured
FrontierMath, tiers 1 to 387.0%Not measuredOnly Claude Fable 5 measured
FrontierMath, tier 490.2%Not measuredOnly Claude Fable 5 measured
ProofBench95.0%Not measuredOnly Claude Fable 5 measured
LMArena Text: math15161431Claude Fable 5
LMArena Text: mathematical work15151431Claude Fable 5
MathArena51.5%Not measuredOnly Claude Fable 5 measured
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for Claude Fable 5 and Qwen3.5-122B-A10B
BenchmarkClaude Fable 5Qwen3.5-122B-A10BLeader
MMLU Pro91.5%Not measuredOnly Claude Fable 5 measured
LegalBench (Vals AI)88.6%Not measuredOnly Claude Fable 5 measured
CorpFin (Vals AI)71.8%Not measuredOnly Claude Fable 5 measured
TaxEval (Vals AI)76.9%Not measuredOnly Claude Fable 5 measured
MortgageTax (Vals AI)68.9%Not measuredOnly Claude Fable 5 measured
MedCode (Vals AI)56.1%Not measuredOnly Claude Fable 5 measured
SimpleQA Verified70.7%Not measuredOnly Claude Fable 5 measured
LMArena Text: science15061432Claude Fable 5
LMArena Text: medicine and healthcare14801423Claude Fable 5
LMArena Text: legal and government14981422Claude Fable 5
LMArena Text: business and finance14801414Claude Fable 5
PRBench Finance53.9%Not measuredOnly Claude Fable 5 measured
PRBench Legal52.6%Not measuredOnly Claude Fable 5 measured
Neither model has a result on the other 7 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
Web design benchmarks for Claude Fable 5 and Qwen3.5-122B-A10B
BenchmarkClaude Fable 5Qwen3.5-122B-A10BLeader
Design Arena: websites1295Not measuredOnly Claude Fable 5 measured
Design Arena: UI components1316Not measuredOnly Claude Fable 5 measured
Design Arena: game dev1335Not measuredOnly Claude Fable 5 measured
Design Arena: data viz1305Not measuredOnly Claude Fable 5 measured
Design Arena: 3D1318Not measuredOnly Claude Fable 5 measured
Design Arena: all code categories1310Not measuredOnly Claude Fable 5 measured
Design Arena: SVG1301Not measuredOnly Claude Fable 5 measured
Design Arena: ASCII art1329Not measuredOnly Claude Fable 5 measured
LiveBench design84.7%Not measuredOnly Claude Fable 5 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index261
General benchmarks for Claude Fable 5 and Qwen3.5-122B-A10B
BenchmarkClaude Fable 5Qwen3.5-122B-A10BLeader
LiveBench data analysis80.5%Not measuredOnly Claude Fable 5 measured
Public Benefits Bench (Vals AI)70.4%Not measuredOnly Claude Fable 5 measured
SAGE (Vals AI)51.9%Not measuredOnly Claude Fable 5 measured
MedScribe (Vals AI)88.5%Not measuredOnly Claude Fable 5 measured
Vals Multimodal Index74.2%Not measuredOnly Claude Fable 5 measured
IFBench63.5%75.7%Qwen3.5-122B-A10B
Long context reasoning (AA-LCR)82.3%76.3%Claude Fable 5
DTBench98.4%84.3%Claude Fable 5
LMCA61.2%32.2%Claude Fable 5
Surface Evolver Bench95.0%Not measuredOnly Claude Fable 5 measured
Furniture assembly35.8%Not measuredOnly Claude Fable 5 measured
LMArena Text14911417Claude Fable 5
LMArena Text: instruction following15021399Claude Fable 5
LMArena Text: creative writing14941368Claude Fable 5
LMArena Vision13251244Claude Fable 5
LMArena Text: English14981428Claude Fable 5
LMArena Text: non-English14821401Claude Fable 5
LMArena Text: Chinese15431463Claude Fable 5
LMArena Text: German14861425Claude Fable 5
LMArena Text: Japanese15041367Claude Fable 5
LMArena Text: Korean14871353Claude Fable 5
LMArena Text: French15051443Claude Fable 5
LMArena Text: Spanish14981425Claude Fable 5
LMArena Text: Russian15031400Claude Fable 5
LMArena Text: Polish14941398Claude Fable 5
LMArena Text: multi-turn15041416Claude Fable 5
LMArena Text: longer queries15101410Claude Fable 5
LMArena Text: writing and language15011387Claude Fable 5
LMArena Text: entertainment and media14821366Claude Fable 5
LMArena Vision: English13231249Claude Fable 5
LMArena Vision: Chinese13731301Claude Fable 5
LMArena Vision: reading text13371251Claude Fable 5
LMArena Vision: humor13411243Claude Fable 5
LMArena Vision: creative writing13381220Claude Fable 5
LMArena Document1496Not measuredOnly Claude Fable 5 measured
EQ-Bench 41340Not measuredOnly Claude Fable 5 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 Claude Fable 5 and Qwen3.5-122B-A10B
BenchmarkClaude Fable 5Qwen3.5-122B-A10BLeader
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 Fable 5$0.035Fits 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 Fable 5$0.650Fits 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 Fable 5$2.50Fits 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 Claude Fable 5 and Qwen3.5-122B-A10B
SpecificationAnthropic Claude Fable 5Qwen3.5-122B-A10B
MakerAnthropicQwen
WeightsNo public weights listedOpen weights
ReleasedJune 9, 2026February 25, 2026
Context window1M262K
Input $/Mtok$10.00$0.26
Output $/Mtok$50.00$2.08
Coding index79.3Not benchmarked
Independent measurements behind it61
Cost per solved task$2.16Not computable
SourceOpenRouter listingOpenRouter listing

Questions

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

Only Claude Fable 5 has a coding score, 79.3 on the Vibe Coding Index; Qwen3.5-122B-A10B has none, so the two cannot be ranked on coding. Pick Qwen3.5-122B-A10B for output tokens 24.0x cheaper ($2.08 vs $50.00 per million) and work measured by IFBench, where it leads.

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

Claude Fable 5 costs $10.00 per million input tokens and $50.00 per million output tokens; Qwen3.5-122B-A10B costs $0.26 and $2.08. Cost per solved task is known for Claude Fable 5 only.

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

Claude Fable 5, with 1M tokens against 262K.

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

51 benchmarks have a result for both models as of October 22, 2026. Claude Fable 5's coding index rests on 6 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.

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