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Model A
Claude Fable 5

Anthropic

80.9/100

Supported · Public rank #3

90% interval 78.783.1

Claude Fable 5 vs Qwen3.6 Plus

Updated September 4, 2026. Public scores include evidence status and uncertainty. They are not guarantees for a specific workload.

Alibaba logo
Model B
Qwen3.6 Plus

Alibaba

61.49/100

Supported · Public rank #64

90% interval 53.069.9

Decision reading

Claude Fable 5 has the higher public score, 80.9 versus 61.49, and the 90% score intervals do not overlap.

8 results are shared. Category rows resting on Estimated evidence or different benchmark sets are marked directional and do not name a winner.

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Which one for your work

Recommendations appear only when a shared evidence basis or an explicit operating constraint supports the call. Secondary and unsupported use cases stay disclosed below the initial list.

  • Coding work

    Code generation, repair, and software-engineering tasks

    Claude Fable 5

    Claude Fable 5 leads on the public coding lane, 76.9 to 47, with Supported evidence for both models and non-overlapping 90% intervals.

    Confidence: stronger

  • Agentic work

    Tool use, computer use, and multi-step task completion

    Claude Fable 5

    Claude Fable 5 leads on the public agentic lane, 74.8 to 36.4, with Supported evidence for both models and non-overlapping 90% intervals.

    Confidence: stronger

Show secondary and unsupported calls
  • Long documents

    Prompts that approach the documented context limit

    No clear pick

    The documented context windows are equal.

    Confidence: documented

  • Chat turn cost

    1K fresh input + 500 output tokens

    Not enough matched evidence

    A complete comparable API-rate estimate is not available for both models.

    Confidence: listed-rates

  • Cache-heavy agent loop cost

    200K cached + 20K fresh input + 10K output tokens

    Not enough matched evidence

    A complete comparable API-rate estimate is not available for both models.

    Confidence: listed-rates

  • Repository review cost

    50K fresh input + 3K output tokens

    Not enough matched evidence

    A complete comparable API-rate estimate is not available for both models.

    Confidence: listed-rates

What is actually comparable

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

Shared results
8
Claude Fable 5 only
10
Qwen3.6 Plus only
40
Like-for-like categories
3 / 8

1 category rests on Estimated evidence or different evidence sets. Those rows remain visible for coverage context but do not name a winner.

Category results, on a stated basis

Each row shows the public-lane category score for both models: the BenchAlign lane for agentic, coding, and knowledge, and the weighted public rows elsewhere, with the same rank each model page reports. A row is like-for-like only when both scores rest on Supported evidence or the same weighted set. Directional and not-comparable rows remain visible, but they never receive a winner.

Agentic

Like-for-like
Claude Fable 5
74.8
Supported · #3/151
Qwen3.6 Plus
36.4
Supported · #128/151
Basis
BenchAlign lane · 4 vs 13 public rows
Reading
Claude Fable 5 leads

Coding

Like-for-like
Claude Fable 5
76.9
Supported · #2/183
Qwen3.6 Plus
47.0
Supported · #92/183
Basis
BenchAlign lane · 10 vs 7 public rows
Reading
Claude Fable 5 leads

Knowledge

Like-for-like
Claude Fable 5
83.5
Supported · #2/181
Qwen3.6 Plus
54.7
Supported · #63/181
Basis
BenchAlign lane · 2 vs 8 public rows
Reading
Claude Fable 5 leads

Instruction following

Directional only
Claude Fable 5
78.3
#54/120
Qwen3.6 Plus
85.5
#41/120
Basis
Provisional lane · 0 vs 1 weighted rows
Reading
Directional only

Reasoning

Not comparable
Claude Fable 5
76.2
#11/22
Qwen3.6 Plus
59.3
Unranked · 4 rankable rows
Basis
Provisional lane · 0 vs 1 weighted rows
Reading
Not comparable

Math

Not comparable
Claude Fable 5
Not ranked
Qwen3.6 Plus
62.4
#4/7
Basis
Provisional lane · 0 vs 4 weighted rows
Reading
Not comparable

Multilingual

Not comparable
Claude Fable 5
Not ranked
Qwen3.6 Plus
69.7
#4/12
Basis
Provisional lane · 0 vs 1 weighted rows
Reading
Not comparable

Multimodal

Not comparable
Claude Fable 5
62.5
Unranked · 2 rankable rows
Qwen3.6 Plus
66.3
#22/48
Basis
Provisional lane · 1 vs 2 weighted rows
Reading
Not comparable

Ranks count the models scored in each category’s lane, so the agentic, coding, and knowledge denominators (BenchAlign) differ from the provisional-lane categories. Unranked scores sit on the lane’s scale but never name a winner. Like-for-like rows within 0.5 points read as a practical tie.

Shape of the matched evidence

Only shared public evidence is shown. Sparse evidence stays a ruled list rather than being closed into a radar shape.

Too few matched category axes support a radar. The ruled list below shows only shared benchmark results; positions use each benchmark’s normalized display scale when available.

What each workload costs

Three fixed token mixes turn per-token rates into comparable decisions. Each scenario states context fit and whether cached input had to fall back to the published list-input rate.

Chat turn

1K fresh input + 500 output tokens

Claude Fable 5
$0.035
Fits in one request
Qwen3.6 Plus
API rate not published
Fits in one request

Qwen3.6 Plus has no comparable published API token rate.

Repository review

50K fresh input + 3K output tokens

Claude Fable 5
$0.65
Fits in one request
Qwen3.6 Plus
API rate not published
Fits in one request

Qwen3.6 Plus has no comparable published API token rate.

Cache-heavy agent loop

200K cached + 20K fresh input + 10K output tokens

Claude Fable 5
$0.9
Fits in one request
Qwen3.6 Plus
API rate not published
Fits in one request
Cached-input rate unavailable

Qwen3.6 Plus has no comparable published API token rate.

Specification differences

Sourced differences are shown directly. Missing facts stay explicit instead of being inferred from a model name or family.

Context window

Maximum documented context; output-token limits may be lower.

Claude Fable 5

Qwen3.6 Plus

1M

Cached-input rate

A missing cached-input rate falls back to the listed input rate only in the stated workload estimate.

Claude Fable 5

$1 per 1M cached input tokens

Claude API pricing

Qwen3.6 Plus

No comparable hosted API rate

Reasoning profile

Claude Fable 5

Reasoning

Qwen3.6 Plus

Reasoning

Weight access

Claude Fable 5

Proprietary

Qwen3.6 Plus

Proprietary

License

Claude Fable 5

Proprietary

Qwen3.6 Plus

Proprietary

Release date

Claude Fable 5

2026-06-09

Qwen3.6 Plus

2026-04-02

If you already use one of these models
Deployment change
The models list different providers, so authentication, endpoint behavior, limits, and feature support may change.
Quality signal
Claude Fable 5 has the higher public score, 80.9 versus 61.49, and the 90% score intervals do not overlap.
Workload cost
A complete comparable API-rate estimate is not available for both models.
Context tradeoff
Both models list 1M.

Run the same representative tasks against both endpoints before changing production traffic.

Benchmark evidence

The full public result ledger is available for audit without forcing a wide desktop table onto a phone.

Browse raw public benchmark evidence58 rows

Agentic

  • Terminal-Bench 3.0

    Claude Fable 534.0%
    Source
    Qwen3.6 Plus

    Not directly comparable

  • Terminal-Bench 2.0

    Claude Fable 584.3%
    Source
    Qwen3.6 Plus61.6%
    Source

    Claude Fable 5 leads this result

  • OSWorld-Verified

    Claude Fable 585%
    Source
    Qwen3.6 Plus

    Not directly comparable

  • Terminal-Bench 2.1 (Vals)

    Claude Fable 580.5%
    Source
    Qwen3.6 Plus53.2%
    Source

    Claude Fable 5 leads this result

  • Claw-Eval

    Claude Fable 5
    Qwen3.6 Plus58.8%
    Source

    Not directly comparable

  • QwenClawBench

    Claude Fable 5
    Qwen3.6 Plus57.2%
    Source

    Not directly comparable

  • τ³-bench results

    Claude Fable 5
    Qwen3.6 Plus70.7%
    Source

    Not directly comparable

  • VITA-Bench

    Claude Fable 5
    Qwen3.6 Plus44.3%
    Source

    Not directly comparable

  • DeepPlanning

    Claude Fable 5
    Qwen3.6 Plus41.5%
    Source

    Not directly comparable

  • Toolathlon

    Claude Fable 5
    Qwen3.6 Plus39.8%
    Source

    Not directly comparable

  • MCP Atlas

    Claude Fable 5
    Qwen3.6 Plus48.2%
    Source

    Not directly comparable

  • MCP-Tasks

    Claude Fable 5
    Qwen3.6 Plus74.1%
    Source

    Not directly comparable

  • WideResearch

    Claude Fable 5
    Qwen3.6 Plus74.3%
    Source

    Not directly comparable

  • Gert Labs

    Claude Fable 5
    Qwen3.6 Plus50.60%
    Source

    Not directly comparable

  • ResearchClawBench

    Claude Fable 5
    Qwen3.6 Plus18.0%
    Source

    Not directly comparable

Coding

  • SWE-bench Verified

    Claude Fable 595%
    Source
    Qwen3.6 Plus78.8%
    Source

    Claude Fable 5 leads this result

  • SWE-bench Pro

    Claude Fable 580%
    Source
    Qwen3.6 Plus56.6%
    Source

    Claude Fable 5 leads this result

  • FrontierSWE v2

    Claude Fable 548.0%
    Source
    Qwen3.6 Plus

    Not directly comparable

  • FrontierCode 1.1 Main

    Claude Fable 553.5%
    Source
    Qwen3.6 Plus

    Not directly comparable

  • Terminal-Bench 2.0

    Claude Fable 584.3%
    Source
    Qwen3.6 Plus

    Not directly comparable

  • cursorBench31

    Claude Fable 570.6%
    Source
    Qwen3.6 Plus

    Not directly comparable

  • cursorBench32

    Claude Fable 570.5%
    Source
    Qwen3.6 Plus

    Not directly comparable

  • VulcanBench v3

    Claude Fable 589.5%
    Source
    Qwen3.6 Plus

    Not directly comparable

  • LiveCodeBench (Vals)

    Claude Fable 589.8%
    Source
    Qwen3.6 Plus86.0%
    Source

    Claude Fable 5 leads this result

  • SWE-bench (Vals)

    Claude Fable 595.0%
    Source
    Qwen3.6 Plus73.4%
    Source

    Claude Fable 5 leads this result

  • SWE Multilingual

    Claude Fable 5
    Qwen3.6 Plus73.8%
    Source

    Not directly comparable

  • LiveCodeBench v6

    Claude Fable 5
    Qwen3.6 Plus87.1%
    Source

    Not directly comparable

  • Vibe Code Bench

    Claude Fable 5
    Qwen3.6 Plus25.56%
    Source

    Not directly comparable

Reasoning

  • AI-Needle

    Claude Fable 5
    Qwen3.6 Plus68.3%
    Source

    Not directly comparable

  • LongBench v2

    Claude Fable 5
    Qwen3.6 Plus62%
    Source

    Not directly comparable

Knowledge

  • GPQA Diamond (Vals)

    Claude Fable 593.2%
    Source
    Qwen3.6 Plus87.4%
    Source

    Claude Fable 5 leads this result

  • MMLU-Pro (Vals)

    Claude Fable 591.5%
    Source
    Qwen3.6 Plus87.7%
    Source

    Claude Fable 5 leads this result

  • GPQA

    Claude Fable 5
    Qwen3.6 Plus90.4%
    Source

    Not directly comparable

  • SuperGPQA

    Claude Fable 5
    Qwen3.6 Plus71.6%
    Source

    Not directly comparable

  • MMLU-Pro

    Claude Fable 5
    Qwen3.6 Plus88.5%
    Source

    Not directly comparable

  • MMLU-Redux

    Claude Fable 5
    Qwen3.6 Plus94.5%
    Source

    Not directly comparable

  • C-Eval

    Claude Fable 5
    Qwen3.6 Plus93.3%
    Source

    Not directly comparable

  • HLE

    Claude Fable 5
    Qwen3.6 Plus28.8%
    Source

    Not directly comparable

Math

  • AIME26

    Claude Fable 5
    Qwen3.6 Plus95.3%
    Source

    Not directly comparable

  • HMMT Feb 2025

    Claude Fable 5
    Qwen3.6 Plus96.7%
    Source

    Not directly comparable

  • HMMT Nov 2025

    Claude Fable 5
    Qwen3.6 Plus94.6%
    Source

    Not directly comparable

  • HMMT Feb 2026

    Claude Fable 5
    Qwen3.6 Plus87.8%
    Source

    Not directly comparable

  • MMAnswerBench

    Claude Fable 5
    Qwen3.6 Plus83.8%
    Source

    Not directly comparable

  • FrontierMath v2 (Tiers 1-3)

    Claude Fable 5
    Qwen3.6 Plus26.207%
    Source

    Not directly comparable

  • FrontierMath v2 (Tier 4)

    Claude Fable 5
    Qwen3.6 Plus8.333%
    Source

    Not directly comparable

Multilingual

  • MMLU-ProX

    Claude Fable 5
    Qwen3.6 Plus84.7%
    Source

    Not directly comparable

  • NOVA-63

    Claude Fable 5
    Qwen3.6 Plus57.9%
    Source

    Not directly comparable

Multimodal

  • Blueprint-Bench 2

    Claude Fable 538.6%
    Source
    Qwen3.6 Plus

    Not directly comparable

  • OfficeQA Pro

    Claude Fable 557.9%
    Source
    Qwen3.6 Plus

    Not directly comparable

  • MMMU

    Claude Fable 5
    Qwen3.6 Plus86.0%
    Source

    Not directly comparable

  • MMMU-Pro

    Claude Fable 5
    Qwen3.6 Plus78.8%
    Source

    Not directly comparable

  • MathVision

    Claude Fable 5
    Qwen3.6 Plus88.0%
    Source

    Not directly comparable

  • VideoMMMU

    Claude Fable 5
    Qwen3.6 Plus84.0%
    Source

    Not directly comparable

  • ScreenSpot Pro

    Claude Fable 5
    Qwen3.6 Plus68.2%
    Source

    Not directly comparable

  • CharXiv

    Claude Fable 5
    Qwen3.6 Plus81.5%
    Source

    Not directly comparable

  • V*

    Claude Fable 5
    Qwen3.6 Plus96.9%
    Source

    Not directly comparable

Instruction following

  • IFEval

    Claude Fable 5
    Qwen3.6 Plus94.3%
    Source

    Not directly comparable

  • IFBench

    Claude Fable 5
    Qwen3.6 Plus75.8%
    Source

    Not directly comparable

Frequently asked questions

Which is better, Claude Fable 5 or Qwen3.6 Plus?

Claude Fable 5 has the higher public score, 80.9 versus 61.49, and the 90% score intervals do not overlap. That is the clearest overall quality signal in the current public data.

Which is better for coding, Claude Fable 5 or Qwen3.6 Plus?

Claude Fable 5 leads the public coding lane, 76.9 to 47, with Supported evidence for both models and non-overlapping 90% intervals.

Which is better for agentic tasks, Claude Fable 5 or Qwen3.6 Plus?

Claude Fable 5 leads the public agentic tasks lane, 74.8 to 36.4, with Supported evidence for both models and non-overlapping 90% intervals.

Which costs less, Claude Fable 5 or Qwen3.6 Plus?

Both models do not have comparable published API token rates, so this page does not name a universal price winner.

Which has the larger context window, Claude Fable 5 or Qwen3.6 Plus?

Both models list the same context window, 1M.

Related comparisons

Last updated September 4, 2026

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