BenchLeader

Claude Fable 5.1 vs Qwen3.8-Flash-Next

Full profiles: Claude Fable 5.1 (Anthropic) and Qwen3.8-Flash-Next (Alibaba): every benchmark, price and rank.

Updated · Data from 9 sources

As of 26 Oct 2026, Claude Fable 5.1 (max) leads on quality (70.5 vs 60.3 on the BenchLeader Index), but Qwen3.8-Flash-Next costs 87× less, so it is the better buy unless you need the extra quality. Pick Claude Fable 5.1 for knowledge (78 vs 57); pick Qwen3.8-Flash-Next for agents & tools (64 vs 61).

Which to pick for…

The pick's numbers come first. Category scores on the BenchLeader scale (50 is the average model, 15 points one standard deviation). High confidence means a lead of half a standard deviation or more; under one point is called either.

Use casePickWhyConfidence
CodingClaude Fable 5.175 vs 66 category score; Arena WebDev 1743 vs 1629High
Agents & tool useQwen3.8-Flash-Next64 vs 61 category score; τ³-Banking (AA) 45.4% vs 47.2%Medium
ReasoningClaude Fable 5.177 vs 59 category score; CritPt 29.7% vs 11.1%High
KnowledgeClaude Fable 5.178 vs 57 category score; AA-Omniscience 43.5 vs -9.7High
Long documentsClaude Fable 5.168 vs 65 category score; AA-LCR 85.3% vs 79.7%Medium
Images and other mediaClaude Fable 5.167 vs 63 category scoreMedium
Chat quality (human preference)–Only Claude Fable 5.1 has an Arena rating (70 category score)Not comparable
Lowest costQwen3.8-Flash-Next$0.230 vs $20.00 per 1M blended; agentic coding session $0.011 vs $0.800–
Fastest first answerQwen3.8-Flash-Next40.6 s (Qwen3.8-Flash-Next) vs 180.5 s (Claude Fable 5.1 (max)) to the first answer token–
High volume on a budgetNeither flagshipA smaller model is usually the better fit: Cheapest good LLMs, Fastest LLMs–

Key differences

  • Claude Fable 5.1 (max) leads on quality: 70.5 vs 60.3.
  • Claude Fable 5.1 (max) is stronger in coding, composite, human preference, knowledge, long context, maths, multimodal, reasoning.
  • Qwen3.8-Flash-Next is stronger in agents & tools.
  • Qwen3.8-Flash-Next is 87× cheaper ($0.230 vs $20.00 per 1M blended).
  • Claude Fable 5.1 (max) streams 1.3× faster (70 vs 52 tokens per second).

At a glance

SpecClaude Fable 5.1Qwen3.8-Flash-Next
DeveloperAnthropicAlibaba
Released1 Sept 202626 Aug 2026
Context window (tokens)1,000,000256,000
Compared atClaude Fable 5.1 (max)Qwen3.8-Flash-Next
Open weightsNoYes
Price in / out / cached input per 1M$10.00 / $50.00 / $0.250$0.150 / $0.470 / –

Category by category

Category scores on the BenchLeader scale: 50 is the average evaluated model, 15 points is one standard deviation. A gap under one point is called level.

CategoryClaude Fable 5.1 (max)Qwen3.8-Flash-NextLeader
Reasoning76.859.2Claude Fable 5.1
Coding74.966.3Claude Fable 5.1
Agents & tools60.564.4Qwen3.8-Flash-Next
Maths72.9–not comparable
Knowledge77.557.1Claude Fable 5.1
Human preference70.0–not comparable
Multimodal67.162.8Claude Fable 5.1
Long context67.864.9Claude Fable 5.1
Composite89.274.0Claude Fable 5.1

Where sources disagree

Across the 25 benchmarks both have, Claude Fable 5.1 leads 22, Qwen3.8-Flash-Next leads 3. Every overall index that rates both puts Claude Fable 5.1 ahead.

Overall indexClaude Fable 5.1 (max)Qwen3.8-Flash-NextLeader
BenchLeader Index70.560.3Claude Fable 5.1
AA Intelligence Index v4.3.253.439.8Claude Fable 5.1

Each publisher runs its own tasks, harnesses and effort settings, so their overall verdicts can differ; BenchLeader reconciles them on one scale. † measured at another effort setting of the same model (the publisher did not test the one compared here).

Price, speed and latency

List prices blended at three input tokens per output token. Per-task prices use the token counts on the methodology page; suite cost is what Artificial Analysis paid to run its whole Intelligence Index.

MeasureClaude Fable 5.1 (max)Qwen3.8-Flash-Next
Blended price per 1M tokens$20.00$0.230
Input / output per 1M$10.00 / $50.00$0.150 / $0.470
Cached input per 1M$0.250–
Price per task: chat reply$0.019$0.0002
Price per task: summarize a 30-page report$0.150$0.0021
Price per task: code edit$0.135$0.0016
Price per task: agentic coding session$0.800$0.011
Price per task: structured extraction$0.030$0.0004
Cost to run a full benchmark suite$7.63$0.372
Output speed70 tok/s52 tok/s
Time to first answer180.5 s40.6 s
Time to a complete answer187.7 s50.2 s

Per token is not per task: on Artificial Analysis' full suite Claude Fable 5.1 (max) cost $7.63 and Qwen3.8-Flash-Next $0.372, because Qwen3.8-Flash-Next used about 4.2× as many tokens for the same work, which a per-token price hides.

Each model is compared at its best-ranked reasoning-effort setting. Claude Fable 5.1 (max) scores 70.5 and takes 181 s to its first answer token; Claude Fable 5.1 (xhigh) scores 69.5 in 91 s, Claude Fable 5.1 (high) scores 69.4 in 18 s. Qwen3.8-Flash-Next scores 60.3 and takes 41 s to its first answer token. Higher effort means more thinking before the answer: better scores, longer waits and more tokens billed. How reasoning effort changes scores and cost.

Every benchmark

128 benchmarks, grouped by category; each name links to the board and its leaders. † measured at another effort setting of the same model, shown for reference and not counted as a win.

MetricPublisherClaude Fable 5.1 (max)Qwen3.8-Flash-Next
BenchLeader IndexBenchLeader70.560.3
Agents & tools scoreBenchLeader60.564.4
Coding scoreBenchLeader74.966.3
Composite scoreBenchLeader89.274.0
Human preference scoreBenchLeader70.0–
Knowledge scoreBenchLeader77.557.1
Long context scoreBenchLeader67.864.9
Maths scoreBenchLeader72.9–
Multimodal scoreBenchLeader67.162.8
Reasoning scoreBenchLeader76.859.2
Blended price $/MBenchLeader$20.00$0.230
Output speedBenchLeader70 tok/s52 tok/s
Time to first answerBenchLeader180.5 s40.6 s
Context windowBenchLeader1,000,000 tokens256,000 tokens
Reasoning
Humanity's Last ExamScale AI / CAIS46.5%†–
Arena Hard PromptsArena (LMArena)1523–
LiveBench 2.0 ReasoningLiveBench91.7%†–
LiveBench 1.0 ReasoningLiveBench91.7%87.4%
GPQA Diamond (AA)Artificial Analysis93.7%92.3%
Humanity's Last Exam (AA)Artificial Analysis59.1%38.0%
GPQA Diamond (Vals)Vals AI93.4%†–
ARC-AGI-1ARC Prize97.5%–
ARC-AGI-2ARC Prize90.0%–
CritPtArtificial Analysis29.7%11.1%
MysteryMechanismVals AI47.8%†–
Chess PuzzlesEpoch AI Benchmarking Hub48.0%–
Mystery Game PuzzlesEpoch AI Benchmarking Hub58.0%–
LMCAEpoch AI Benchmarking Hub65.5%†–
DTBenchEpoch AI Benchmarking Hub97.6%†–
Coding
SciCodeSciCode63.1%–
WeirdMLWeirdML92.9%–
FrontierCodeCognition50.9%†–
GSO-BenchGSO-Bench88.2%†–
Arena CodingArena (LMArena)1538–
Arena WebDevArena (LMArena)17431629
LiveBench 2.0 CodingLiveBench97.7%†–
LiveBench 1.0 CodingLiveBench86.4%72.5%
SciCode (AA)Artificial Analysis63.1%50.6%
LiveCodeBenchVals AI90.5%†–
Show all 128 benchmarks
MetricPublisherClaude Fable 5.1 (max)Qwen3.8-Flash-Next
Coding
IOIVals AI90.8%†–
Code MigrationVals AI54.6%†–
ProgramBenchVals AI7.0%†–
SWE-bench MultimodalVals AI61.3%†–
Vibe Code Bench 1-100Vals AI28.0%†–
Vibe Code Bench v1.1Vals AI90.3%†–
SWE Atlas: Codebase QnAScale AI SEAL60.0%†–
SWE Atlas: RefactoringScale AI SEAL56.7%†–
SWE Atlas: Test WritingScale AI SEAL67.0%†–
MirrorCodeEpoch AI Benchmarking Hub73.3%†–
CursorBenchCursor51.8%–
ALE-BenchEpoch AI Benchmarking Hub2143.2†–
FrontierSWEEpoch AI Benchmarking Hub56.3%–
Terminal-Bench 4.0 (AA)Artificial Analysis52.0%25.3%
Terminal-Bench 2.1 (AA)Artificial Analysis91.4%86.1%
Startrise FrontendStartrise77.1%†–
FrontierCode 1.1 (AA)Artificial Analysis49.0%–
Agents & tools
Terminal-BenchTerminal-Bench57.9%–
Remote Labor IndexScale AI / CAIS17.9%†–
APEX-AgentsMercor68.6%†–
Arena AgentArena (LMArena)13.9-3.3
LiveBench Long AgenticLiveBench77.9%†–
LiveBench BrowserLiveBench89.8%†–
LiveBench Agentic CodingLiveBench66.1%61.6%
Terminal-Bench 2.1 (Vals)Vals AI85.0%†–
MCP AtlasScale AI SEAL87.2%†–
HiL-BenchScale AI SEAL61.5%†–
GDPval-AA v2.1Artificial Analysis62.7%56.4%
τ³-Banking (AA)Artificial Analysis47.2%45.4%
ITBench SRE (AA)Artificial Analysis49.5%–
Analyst Agent (AA)Artificial Analysis57.5%–
CUA-benchVals AI13.2%–
CyberBenchVals AI70.4%†–
Finance Agent v2Vals AI58.9%†–
Harvey's Legal Agent Benchmark v1Vals AI6.7%†–
Legal Research BenchVals AI55.3%†–
Robo-benchVals AI5.8%–
SkillsBenchVals AI61.5%†–
SREBenchVals AI22.9%†–
Tax Agent BenchVals AI49.2%†–
Terminal-Bench 4.0 (Vals)Vals AI58.1%†–
Terminal-Bench ScienceVals AI40.0%†–
Time Horizon Index: KSPVals AI63.3%†–
Arena SearchArena (LMArena)1233†–
Vending-Bench 2Andon Labs5421.6†–
AutomationBenchArtificial Analysis59.4%55.9%
GDP.pdf (AA)Artificial Analysis26.2%15.6%
Harvey LAB-AA v1.1Harvey6.4%–
AA-Briefcase v1.1Artificial Analysis1671–
Terminal-Bench-Science 0.1 (AA)Artificial Analysis43.3%–
CWE-Bench (AA)Artificial Analysis50.8%–
DeepSec-Bench (AA)Artificial Analysis23.5%–
CyberGym end-to-end (AA)Artificial Analysis0.8%–
Maths
FrontierMath Tiers 1–3Epoch AI Benchmarking Hub90.2%–
FrontierMath Tier 4Epoch AI Benchmarking Hub87.8%–
OTIS Mock AIMEEpoch AI Benchmarking Hub100.0%–
ProofBenchVals AI100.0%–
LiveBench MathematicsLiveBench97.0%85.8%
Arena MathsArena (LMArena)1529–
Knowledge
SimpleQA VerifiedEpoch AI Benchmarking Hub70.8%–
LiveBench 2.0 Data AnalysisLiveBench80.3%†–
LiveBench ResearchLiveBench82.0%†–
LiveBench 1.0 Data AnalysisLiveBench80.3%74.2%
AA-OmniscienceArtificial Analysis43.5-9.7
MMLU-ProVals AI92.4%†–
LegalBenchVals AI88.5%†–
TaxEvalVals AI76.0%†–
PRBench FinanceScale AI SEAL50.8%†–
PRBench LegalScale AI SEAL51.6%†–
Excel Modeling BenchmarkVals AI76.7%†–
Excel Modeling Benchmark v1.1Vals AI76.7%†–
MedCodeVals AI53.5%†–
MedScribeVals AI91.3%†–
Public Benefits Bench v1.1Vals AI74.9%†–
EBR-benchEpoch AI Benchmarking Hub57.1%–
GDP.pdfEpoch AI Benchmarking Hub27.6%–
AA-Omniscience: accuracyArtificial Analysis67.2%24.5%
AA-Omniscience: non-hallucinationArtificial Analysis27.4%54.7%
Instruction following
LiveBench LanguageLiveBench89.5%74.6%
LiveBench Instruction FollowingLiveBench73.0%77.1%
Arena Instruction FollowingArena (LMArena)1501–
Human preference
Arena TextArena (LMArena)1503–
Arena Creative WritingArena (LMArena)1487–
Arena Multi-turnArena (LMArena)1488–
Arena Longer QueriesArena (LMArena)1511–
Multimodal
Arena VisionArena (LMArena)1320–
LiveBench DesignLiveBench83.4%†–
MMMU-ProArtificial Analysis–79.8%
MMMU-Pro (Vals)Vals AI90.6%†–
MortgageTaxVals AI70.8%†–
SAGEVals AI48.5%†–
Blueprint-Bench 2Epoch AI Benchmarking Hub41.9%†–
AA-3DArtificial Analysis1135–
Long context
AA-LCRArtificial Analysis85.3%79.7%
Arena DocumentArena (LMArena)1493–
MLCRArtificial Analysis15.6%20.6%
Composite
Epoch Capabilities IndexEpoch AI Benchmarking Hub166.5†–
LiveBench 2.0LiveBench85.7%†–
LiveBench 1.0LiveBench83.4%76.2%
AA Intelligence Index v4.3.2Artificial Analysis53.439.8
Vals RSI IndexVals AI36.1%–
AA Cyber IndexArtificial Analysis25.0–
Safety & honesty
FORTRESSScale AI SEAL13.7%†–

Data as of 2026-10-26. Best configuration of each model; every score links to its source on the model pages.

What changed

  • Claude Fable 5.1 (max): 2 new results (Robo-bench, Vals RSI Index).
  • Claude Fable 5.1 (max): 1 score revision.
  • Qwen3.8-Flash-Next: 1 new result (MLCR).
  • Claude Fable 5.1 (max): 1 score revision.
  • Claude Fable 5.1 (max): BenchLeader Index 70.0 → 70.6.
  • Qwen3.8-Flash-Next: BenchLeader Index 59.5 → 60.3.
  • Qwen3.8-Flash-Next: 2 new results (AutomationBench, GDP.pdf (AA)).
  • Qwen3.8-Flash-Next: BenchLeader Index 60.0 → 59.5.
  • Claude Fable 5.1 (max): 2 score revisions.
  • Claude Fable 5.1 (max): 1 score revision.

Rankings: Best LLM overall · Best LLM for coding · Best LLM for agents · Best cheap LLMs

Claude Fable 5.1 vs Qwen3.8-Flash-Next: questions

Is Claude Fable 5.1 better than Qwen3.8-Flash-Next?
Claude Fable 5.1 (max) leads on quality: 70.5 vs 60.3. The BenchLeader Index combines every independent quality benchmark; Claude Fable 5.1 (max) is ahead overall as of 2026-10-26, but check the category scores for your use.
Which is cheaper, Claude Fable 5.1 or Qwen3.8-Flash-Next, and will that change?
Qwen3.8-Flash-Next is cheaper today: $0.230 against $20.00 per million tokens, blended at three input tokens per output token. No price change has been announced for either.
Is Claude Fable 5.1 better than Qwen3.8-Flash-Next for coding?
Claude Fable 5.1 scores higher in coding (75 vs 66 on the category index, where 50 is average). On Arena WebDev, the top shared coding benchmark, it is 1743 for Claude Fable 5.1 against 1629 for Qwen3.8-Flash-Next.
Is Claude Fable 5.1 better than Qwen3.8-Flash-Next for agents and tool use?
Qwen3.8-Flash-Next scores higher in agentic tasks (64 vs 61 on the category index, where 50 is average). On τ³-Banking (AA), the top shared agents & tools benchmark, it is 47.2% for Claude Fable 5.1 against 45.4% for Qwen3.8-Flash-Next.
Which is better for long documents?
Claude Fable 5.1 scores higher on long-context benchmarks (68 vs 65). Claude Fable 5.1 accepts more context: 1,000,000 against 256,000 tokens for Qwen3.8-Flash-Next.
Which has lower latency?
Qwen3.8-Flash-Next answers first: 40.6 s against 180.5 s to the first answer token, as Artificial Analysis measures it. Reasoning effort drives most of this: a higher setting thinks longer before it answers.
Which is faster, Claude Fable 5.1 or Qwen3.8-Flash-Next?
Claude Fable 5.1 streams faster: 70 against 52 output tokens per second.
Do independent benchmarks agree on Claude Fable 5.1 vs Qwen3.8-Flash-Next?
Across the 25 benchmarks both have, Claude Fable 5.1 leads 22, Qwen3.8-Flash-Next leads 3. Every overall index that rates both puts Claude Fable 5.1 ahead.
When was Claude Fable 5.1 released?
Claude Fable 5.1 was released on 1 Sept 2026.