Model comparison

Claude Fable 5 vs Qwen3-Coder 480B-A35B Instruct

Claude Fable 5 is the stronger model overall, scoring 66.3 to 37.7 on the Noometry Index. Qwen3-Coder 480B-A35B Instruct costs 6.7× less per token, which makes it the better buy when Claude Fable 5's lead doesn't matter for your workload.

Last verified . 21 shared benchmarks.

Claude Fable 5 Anthropic

66.3

Rank #5 Confirmed

Summary

  • They share 21 benchmarks with published results for both. Claude Fable 5 scores higher in 9 categories and Qwen3-Coder 480B-A35B Instruct in 0 categories; 9 gaps are clear of the uncertainty.
  • The widest gap is in math, where Claude Fable 5 leads 88.4 to 34.9.
  • The biggest single-benchmark swing is WeirdML: 91.9% for Claude Fable 5 and 41.2% for Qwen3-Coder 480B-A35B Instruct.
  • Qwen3-Coder 480B-A35B Instruct is cheaper at $1.50 / $7.50 per million input/output tokens, against $10 / $50 for Claude Fable 5.
  • Claude Fable 5 accepts more context: 1M tokens versus 262K.
  • Qwen3-Coder 480B-A35B Instruct has downloadable open weights; the other is API-only.

Side by side

Claude Fable 5 and Qwen3-Coder 480B-A35B Instruct specifications
Claude Fable 5Qwen3-Coder 480B-A35B Instruct
ProviderAnthropicAlibaba (Qwen)
Noometry Index66.337.7
Released2026-06-072025-04
WeightsProprietaryOpen
Context window1M262K
Max output128K66K
Input $ / M tokens$10$1.50
Output $ / M tokens$50$7.50
Results tracked6125

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Category by category

Coding Claude Fable 5 leads

Claude Fable 5: 67.0 (#4), Qwen3-Coder 480B-A35B Instruct: 36.2 (#199)

Coding benchmarks
BenchmarkClaude Fable 5Qwen3-Coder 480B-A35B Instruct
LMArena WebDev16261275
WeirdML91.9%41.2%
LMArena Coding15191413
ALE-Bench2,041461.45
DeepSWE69.9%—
FrontierCode53.5%—
SWE-bench Verified (bash only)—55.4%
FrontierSWE47%—
SciCode61%—
GSO—4.9%
MirrorCode63.9%—
AlgoTune—1.44

Agentic & Tool Use Claude Fable 5 leads

Claude Fable 5: 54.1 (#2), Qwen3-Coder 480B-A35B Instruct: 23.7 (#116)

Agentic & Tool Use benchmarks
BenchmarkClaude Fable 5Qwen3-Coder 480B-A35B Instruct
Terminal-Bench—27.2%
APEX-Agents63.6%—
Remote Labor Index16.1%—
τ²-bench Banking39.7%—
PostTrainBench41.8%—
GBAEval74.5%—
GDP.pdf30%—
LMArena Search1230—
Vending-Bench 25,680—

Reasoning Claude Fable 5 leads

Claude Fable 5: 76.8 (#4), Qwen3-Coder 480B-A35B Instruct: 24.7 (#141)

Reasoning benchmarks
BenchmarkClaude Fable 5Qwen3-Coder 480B-A35B Instruct
Kagi LLM Benchmark91.4%49.5%
LMArena Hard Prompts15081372
ARC-AGI-289.2%—
SimpleBench81.9%—
NYT Connections (extended)92.7%—
ARC-AGI-198.5%—
CritPt28.6%—
Chess Puzzles41%—
EnigmaEval39.3%—
EBR-Bench39.5%—
Mystery Game Puzzles52%—
DTBench98.4%—
LMCA61.1%—
Surface Evolver Bench95%—
Bench to the Future 30.13—
Epoch Capabilities Index163.6—

Math Claude Fable 5 leads

Claude Fable 5: 88.4 (#5), Qwen3-Coder 480B-A35B Instruct: 34.9 (#151)

Math benchmarks
BenchmarkClaude Fable 5Qwen3-Coder 480B-A35B Instruct
LMArena Math15191364
FrontierMath (Tiers 1-3)87%—
FrontierMath Tier 490.2%—
OTIS Mock AIME 2024-2025100%—
ProofBench95%—
FrontierMath Erdős0%—

Knowledge Claude Fable 5 leads

Claude Fable 5: 62.3 (#22), Qwen3-Coder 480B-A35B Instruct: 36.4 (#159)

Knowledge benchmarks
BenchmarkClaude Fable 5Qwen3-Coder 480B-A35B Instruct
LMArena Expert15341337
GPQA Diamond85.9%—
SimpleQA Verified70.7%—

Multimodal Not comparable

Claude Fable 5: 45.6 (#14), Qwen3-Coder 480B-A35B Instruct: —

Multimodal benchmarks
BenchmarkClaude Fable 5Qwen3-Coder 480B-A35B Instruct
LMArena Vision1326—
Blueprint-Bench 238.6%—
Furniture Assembly35.8%—
LMArena Document1496—

Multilingual Claude Fable 5 leads

Claude Fable 5: 57.6 (#8), Qwen3-Coder 480B-A35B Instruct: 47.8 (#143)

Multilingual benchmarks
BenchmarkClaude Fable 5Qwen3-Coder 480B-A35B Instruct
LMArena Non-English14831345
LMArena Chinese15461356
LMArena French15091394
LMArena German14861324
LMArena Japanese15071309
LMArena Korean14931307
LMArena Russian15071367
LMArena Spanish15031360

Instruction Following Claude Fable 5 leads

Claude Fable 5: 78.8 (#7), Qwen3-Coder 480B-A35B Instruct: 71.8 (#142)

Instruction Following benchmarks
BenchmarkClaude Fable 5Qwen3-Coder 480B-A35B Instruct
LMArena Instruction Following15031356

Long Context Claude Fable 5 leads

Claude Fable 5: 46.3 (#22), Qwen3-Coder 480B-A35B Instruct: 42.0 (#126)

Long Context benchmarks
BenchmarkClaude Fable 5Qwen3-Coder 480B-A35B Instruct
LMArena Longer Query15101379

Writing & Preference Claude Fable 5 leads

Claude Fable 5: 76.1 (#5), Qwen3-Coder 480B-A35B Instruct: 55.5 (#142)

Writing & Preference benchmarks
BenchmarkClaude Fable 5Qwen3-Coder 480B-A35B Instruct
LMArena Text14911356
LMArena Creative Writing14941333
LMArena Multi-Turn15051365
EQ-Bench Creative Writing1943—
EQ-Bench 41340—

Frequently asked questions

Is Claude Fable 5 better than Qwen3-Coder 480B-A35B Instruct?

Claude Fable 5 is the stronger model overall, scoring 66.3 to 37.7 on the Noometry Index. Qwen3-Coder 480B-A35B Instruct costs 6.7× less per token, which makes it the better buy when Claude Fable 5's lead doesn't matter for your workload.

Which is cheaper, Claude Fable 5 or Qwen3-Coder 480B-A35B Instruct?

Qwen3-Coder 480B-A35B Instruct is cheaper. It lists at $1.50 per million input tokens and $7.50 per million output tokens; Claude Fable 5 lists at $10 and $50.

Is Claude Fable 5 or Qwen3-Coder 480B-A35B Instruct better for coding?

Claude Fable 5 scores higher on coding benchmarks: 67.0 versus 36.2 in the Noometry coding category.

Which has the bigger context window?

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

How many benchmarks do Claude Fable 5 and Qwen3-Coder 480B-A35B Instruct share?

21 benchmarks have published results for both models. Claude Fable 5 has 61 scored results on Noometry and Qwen3-Coder 480B-A35B Instruct has 25.

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