BenchLeader

Claude Fable 5.1 vs Gemini 3.8 Flash

Full profiles: Claude Fable 5.1 (Anthropic) and Gemini 3.8 Flash (Google): every benchmark, price and rank.

Updated · Data from 10 sources

As of 24 Oct 2026, Claude Fable 5.1 (max) leads on quality (70.5 vs 64.4 on the BenchLeader Index), but Gemini 3.8 Flash (high) costs 13× less, so it is the better buy unless you need the extra quality. Gemini 3.8 Flash (high)'s current price runs until 31 Dec 2026; from 1 Jan 2027 Gemini 3.8 Flash (high) costs 6.7× less ($3.00 vs $20.00 per 1M blended).

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 64 category score; Arena WebDev 1743 vs 1585High
Agents & tool useClaude Fable 5.160 vs 51 category score; Terminal-Bench 57.9% vs 19.1%High
MathsClaude Fable 5.173 vs 62 category score; FrontierMath Tiers 1–3 90.2% vs 68.4%High
ReasoningClaude Fable 5.177 vs 68 category score; ARC-AGI-2 90.0% vs 89.2%High
KnowledgeClaude Fable 5.178 vs 68 category score; SimpleQA Verified 70.8% vs 69.7%High
Long documentsClaude Fable 5.168 vs 66 category score; AA-LCR 85.3% vs 81.3%Medium
Images and other mediaEither67 vs 68 category score; Arena Vision 1320 vs 1315Either
Chat quality (human preference)Either70 vs 69 on Arena votesEither
Lowest costGemini 3.8 Flash$1.50 vs $20.00 per 1M blended; agentic coding session $0.060 vs $0.800; from 1 Jan 2027: $3.00 vs $20.00–
Fastest first answerGemini 3.8 Flash25.1 s (Gemini 3.8 Flash (high)) vs 163.2 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 64.4.
  • Claude Fable 5.1 (max) is stronger in agents & tools, coding, composite, human preference, knowledge, long context, maths, reasoning.
  • Gemini 3.8 Flash (high) is stronger in multimodal.
  • Gemini 3.8 Flash (high) is 13× cheaper ($1.50 vs $20.00 per 1M blended) until 31 Dec 2026, then $3.00 vs $20.00 from 1 Jan 2027.
  • Gemini 3.8 Flash (high) streams 2.1× faster (141 vs 68 tokens per second).

At a glance

SpecClaude Fable 5.1Gemini 3.8 Flash
DeveloperAnthropicGoogle
Released1 Sept 20262 Sept 2026
Context window (tokens)1,000,0001,048,576
Compared atClaude Fable 5.1 (max)Gemini 3.8 Flash (high)
Open weightsNoNo
Price in / out / cached input per 1M$10.00 / $50.00 / $0.250$0.750 / $3.75 / $0.075
Announced price changeNone announced$1.50 / $7.50 from 1 Jan 2027

Limits, availability and announced prices from the vendors' own pages: ai.google.dev pricing (checked 20 Oct 2026). Everything else is from the day's data.

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)Gemini 3.8 Flash (high)Leader
Reasoning76.868.2Claude Fable 5.1
Coding75.063.5Claude Fable 5.1
Agents & tools60.250.9Claude Fable 5.1
Maths72.962.4Claude Fable 5.1
Knowledge77.568.4Claude Fable 5.1
Human preference70.069.1level
Multimodal67.167.7level
Long context67.865.7Claude Fable 5.1
Composite89.275.3Claude Fable 5.1

Where sources disagree

Across the 59 benchmarks both have, Claude Fable 5.1 leads 48, Gemini 3.8 Flash leads 11. Every overall index that rates both puts Claude Fable 5.1 ahead.

Overall indexClaude Fable 5.1 (max)Gemini 3.8 Flash (high)Leader
BenchLeader Index70.564.4Claude Fable 5.1
AA Intelligence Index v4.3.253.440.9Claude Fable 5.1
Arena Text15031496Claude 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)Gemini 3.8 Flash (high)
Blended price per 1M tokens, until 31 Dec 2026$20.00$1.50
Input / output per 1M$10.00 / $50.00$0.750 / $3.75
Blended price per 1M from 1 Jan 2027$20.00$3.00
Input / output per 1M from 1 Jan 2027$10.00 / $50.00$1.50 / $7.50
Cached input per 1M$0.250$0.075
Price per task: chat reply$0.019$0.0014
Price per task: summarize a 30-page report$0.150$0.011
Price per task: code edit$0.135$0.010
Price per task: agentic coding session$0.800$0.060
Price per task: structured extraction$0.030$0.0023
Cost to run a full benchmark suite$7.63$1.24
Output speed68 tok/s141 tok/s
Time to first answer163.2 s25.1 s
Time to a complete answer170.6 s28.7 s

Per token is not per task: on Artificial Analysis' full suite Claude Fable 5.1 (max) cost $7.63 and Gemini 3.8 Flash (high) $1.24, because Gemini 3.8 Flash (high) used about 2.2× 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 163 s to its first answer token; Claude Fable 5.1 (xhigh) scores 69.5 in 54 s, Claude Fable 5.1 (high) scores 69.4 in 19 s. Gemini 3.8 Flash (high) scores 64.4 and takes 25 s to its first answer token; Gemini 3.8 Flash (medium) scores 64.4 in 3 s, Gemini 3.8 Flash (low) scores 61.0 in 3 s. 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

143 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)Gemini 3.8 Flash (high)
BenchLeader IndexBenchLeader70.564.4
Agents & tools scoreBenchLeader60.250.9
Coding scoreBenchLeader75.063.5
Composite scoreBenchLeader89.275.3
Human preference scoreBenchLeader70.069.1
Knowledge scoreBenchLeader77.568.4
Long context scoreBenchLeader67.865.7
Maths scoreBenchLeader72.962.4
Multimodal scoreBenchLeader67.167.7
Reasoning scoreBenchLeader76.868.2
Blended price $/MBenchLeader$20.00$1.50
Output speedBenchLeader68 tok/s141 tok/s
Time to first answerBenchLeader163.2 s25.1 s
Context windowBenchLeader1,000,000 tokens1,048,576 tokens
Reasoning
GPQA DiamondEpoch AI Benchmarking Hub–95.4%
Humanity's Last ExamScale AI / CAIS46.5%†44.5%†
Arena Hard PromptsArena (LMArena)15231517
LiveBench 2.0 ReasoningLiveBench91.7%†89.3%†
LiveBench 1.0 ReasoningLiveBench91.7%89.3%
GPQA Diamond (AA)Artificial Analysis93.7%95.3%
Humanity's Last Exam (AA)Artificial Analysis59.1%47.8%
GPQA Diamond (Vals)Vals AI93.4%†94.4%
ARC-AGI-1ARC Prize97.5%98.5%
ARC-AGI-2ARC Prize90.0%89.2%
ARC-AGI-3ARC Prize–35.0%
CritPtArtificial Analysis29.7%18.3%
MysteryMechanismVals AI47.8%†36.5%
Chess PuzzlesEpoch AI Benchmarking Hub48.0%58.0%
Mystery Game PuzzlesEpoch AI Benchmarking Hub58.0%47.0%
LMCAEpoch AI Benchmarking Hub65.5%†51.5%†
DTBenchEpoch AI Benchmarking Hub97.6%†95.7%†
Coding
SciCodeSciCode63.1%56.6%
WeirdMLWeirdML92.9%84.8%
FrontierCodeCognition50.9%†41.2%†
GSO-BenchGSO-Bench88.2%†–
Arena CodingArena (LMArena)15381528
Arena WebDevArena (LMArena)17431585
LiveBench 2.0 CodingLiveBench97.7%†82.2%†
LiveBench 1.0 CodingLiveBench86.4%72.5%
Show all 143 benchmarks
MetricPublisherClaude Fable 5.1 (max)Gemini 3.8 Flash (high)
Coding
LiveCodeBenchVals AI90.5%†89.5%
IOIVals AI90.8%†56.9%
SWE-bench (Vals)Vals AI–80.0%
Code MigrationVals AI54.6%†36.5%
Code Migration v1.1Vals AI–38.6%
ProgramBenchVals AI7.0%†1.0%
SWE-bench MultimodalVals AI61.3%†40.8%
Vibe Code Bench 1-100Vals AI28.0%†18.8%
Vibe Code Bench v1.1Vals AI90.3%†78.7%
SWE Atlas: Codebase QnAScale AI SEAL60.0%†47.0%†
SWE Atlas: RefactoringScale AI SEAL56.7%†44.8%†
SWE Atlas: Test WritingScale AI SEAL67.0%†53.7%†
MirrorCodeEpoch AI Benchmarking Hub73.3%†–
Surface Evolver BenchEpoch AI Benchmarking Hub–76.9%
DeepSWE v1.1Epoch AI Benchmarking Hub–73.8%
CursorBenchCursor51.8%39.6%
ALE-BenchEpoch AI Benchmarking Hub2143.2†1269.7
FrontierSWEEpoch AI Benchmarking Hub56.3%19.6%
Terminal-Bench 4.0 (AA)Artificial Analysis52.0%19.7%
Terminal-Bench 2.1 (AA)Artificial Analysis91.4%87.6%
Startrise FrontendStartrise77.1%†64.6%†
FrontierCode 1.1 (AA)Artificial Analysis49.0%36.4%
Agents & tools
Terminal-BenchTerminal-Bench57.9%19.1%
Remote Labor IndexScale AI / CAIS17.9%†5.8%†
APEX-AgentsMercor68.6%†64.3%†
Arena AgentArena (LMArena)14.23.6
LiveBench Long AgenticLiveBench80.8%†30.1%†
LiveBench BrowserLiveBench100.0%†64.0%†
LiveBench Agentic CodingLiveBench66.1%54.2%
Terminal-Bench 2.1 (Vals)Vals AI85.0%†81.3%
MCP AtlasScale AI SEAL87.2%†–
HiL-BenchScale AI SEAL61.5%†41.5%†
GDPval-AA v2.1Artificial Analysis62.7%46.8%
τ³-Banking (AA)Artificial Analysis47.2%45.0%
ITBench SRE (AA)Artificial Analysis49.5%52.5%
Analyst Agent (AA)Artificial Analysis57.5%46.3%
CUA-benchVals AI13.2%4.2%
CyberBenchVals AI70.4%†43.8%
Finance Agent v2Vals AI58.9%†61.4%
Finance Agent v2.1Vals AI–65.8%
Harvey's Legal Agent Benchmark v1.1Vals AI–12.1%
Harvey's Legal Agent Benchmark v1Vals AI6.7%†10.0%
Legal Research BenchVals AI55.3%†38.9%
Robo-benchVals AI5.8%–
SkillsBenchVals AI61.5%†58.0%
SREBenchVals AI22.9%†11.1%
Tax Agent BenchVals AI49.2%†32.1%
Terminal-Bench 4.0 (Vals)Vals AI58.1%†19.7%
Terminal-Bench ScienceVals AI40.0%†8.6%
Time Horizon Index: KSPVals AI63.3%†18.8%
Arena SearchArena (LMArena)1233†–
Vending-Bench 2Andon Labs5421.6†5093.8†
AutomationBenchArtificial Analysis59.4%59.9%
GDP.pdf (AA)Artificial Analysis26.2%21.0%
Harvey LAB-AA v1.1Harvey6.4%0.0%
AA-Briefcase v1.1Artificial Analysis16711202
Terminal-Bench-Science 0.1 (AA)Artificial Analysis43.3%10.0%
CWE-Bench (AA)Artificial Analysis50.8%52.5%
DeepSec-Bench (AA)Artificial Analysis23.5%14.5%
CyberGym end-to-end (AA)Artificial Analysis0.8%8.4%
FACTS SearchGoogle–76.3%†
Maths
FrontierMath Tiers 1–3Epoch AI Benchmarking Hub90.2%68.4%
FrontierMath Tier 4Epoch AI Benchmarking Hub87.8%21.9%
OTIS Mock AIMEEpoch AI Benchmarking Hub100.0%98.9%
ProofBenchVals AI100.0%48.0%†
LiveBench MathematicsLiveBench97.0%91.6%
Arena MathsArena (LMArena)15291526
Knowledge
SimpleQA VerifiedEpoch AI Benchmarking Hub70.8%69.7%
LiveBench 2.0 Data AnalysisLiveBench80.3%†54.0%†
LiveBench ResearchLiveBench82.0%†79.1%†
LiveBench 1.0 Data AnalysisLiveBench80.3%54.0%
AA-OmniscienceArtificial Analysis43.529.6
MMLU-ProVals AI92.4%†90.2%
LegalBenchVals AI88.5%†87.0%
TaxEvalVals AI76.0%†74.5%
PRBench FinanceScale AI SEAL50.8%†49.5%†
PRBench LegalScale AI SEAL51.6%†48.9%†
BioMysteryBenchVals AI–62.2%
Excel Modeling BenchmarkVals AI76.7%†72.2%
Excel Modeling Benchmark v1.1Vals AI76.7%†72.9%
MedCodeVals AI53.5%†48.1%
MedScribeVals AI91.3%†84.5%
Public Benefits Bench v1.1Vals AI74.9%†65.3%
EBR-benchEpoch AI Benchmarking Hub57.1%–
GDP.pdfEpoch AI Benchmarking Hub27.6%23.2%
AA-Omniscience: accuracyArtificial Analysis67.2%54.6%
AA-Omniscience: non-hallucinationArtificial Analysis27.4%44.8%
Instruction following
LiveBench LanguageLiveBench89.5%87.8%
LiveBench Instruction FollowingLiveBench73.0%81.4%
Arena Instruction FollowingArena (LMArena)15011490
Human preference
Arena TextArena (LMArena)15031496
Arena Creative WritingArena (LMArena)14871485
Arena Multi-turnArena (LMArena)14881504
Arena Longer QueriesArena (LMArena)15111510
Multimodal
Arena VisionArena (LMArena)13201315
LiveBench DesignLiveBench83.4%†72.7%†
MMMU-ProArtificial Analysis–85.6%
MMMU-Pro (Vals)Vals AI90.6%†89.1%
MortgageTaxVals AI70.8%†65.3%
SAGEVals AI48.5%†35.1%
AudioMCScale AI SEAL–60.4%
AudioMC (text output)Scale AI SEAL–60.4%
Blueprint-Bench 2Epoch AI Benchmarking Hub41.9%†38.6%†
AA-3DArtificial Analysis1133969
Long context
AA-LCRArtificial Analysis85.3%81.3%
Arena DocumentArena (LMArena)1493–
MLCRArtificial Analysis15.6%10.6%
Composite
Epoch Capabilities IndexEpoch AI Benchmarking Hub166.5†157.4†
LiveBench 2.0LiveBench88.0%†67.3%†
LiveBench 1.0LiveBench83.4%75.8%
AA Intelligence Index v4.3.2Artificial Analysis53.440.9
Vals IndexVals AI–56.0
Vals Finance IndexVals AI–60.5%
Vals RSI IndexVals AI36.1%19.9%
Vals Science IndexVals AI–35.8%
Vals Router IndexVals AI–56.0%†
AA Cyber IndexArtificial Analysis25.025.1
Safety & honesty
FORTRESSScale AI SEAL13.7%†–

Data as of 2026-10-24. Best configuration of each model; every score links to its source on the model pages.

What changed

  • Gemini 3.8 Flash: list price moves to $1.50 / $7.50 per 1M input / output tokens (announced).
  • Claude Fable 5.1 (max): 2 new results (Robo-bench, Vals RSI Index).
  • Gemini 3.8 Flash (high): 8 new results (Code Migration v1.1, Excel Modeling Benchmark v1.1, Finance Agent v2.1…).
  • Claude Fable 5.1 (max): 1 score revision.
  • Gemini 3.8 Flash (high): 1 score revision.
  • Claude Fable 5.1 (max): 1 score revision.
  • Gemini 3.8 Flash (high): 3 score revisions.
  • Claude Fable 5.1 (max): BenchLeader Index 70.0 → 70.6.
  • Gemini 3.8 Flash (high): BenchLeader Index 63.7 → 64.5.
  • Gemini 3.8 Flash (high): 1 new result (AudioMC (text output)).

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

Claude Fable 5.1 vs Gemini 3.8 Flash: questions

Is Claude Fable 5.1 better than Gemini 3.8 Flash?
Claude Fable 5.1 (max) leads on quality: 70.5 vs 64.4. The BenchLeader Index combines every independent quality benchmark; Claude Fable 5.1 (max) is ahead overall as of 2026-10-24, but check the category scores for your use.
Which is cheaper, Claude Fable 5.1 or Gemini 3.8 Flash, and will that change?
Gemini 3.8 Flash is cheaper today: $1.50 against $20.00 per million tokens, blended at three input tokens per output token. Yes, that changes: Gemini 3.8 Flash's list price changes on 1 Jan 2027, and from then Gemini 3.8 Flash is cheaper ($3.00 vs $20.00 blended).
Is Claude Fable 5.1 better than Gemini 3.8 Flash for coding?
Claude Fable 5.1 scores higher in coding (75 vs 64 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 1585 for Gemini 3.8 Flash.
Is Claude Fable 5.1 better than Gemini 3.8 Flash for agents and tool use?
Claude Fable 5.1 scores higher in agentic tasks (60 vs 51 on the category index, where 50 is average). On Terminal-Bench, the top shared agents & tools benchmark, it is 57.9% for Claude Fable 5.1 against 19.1% for Gemini 3.8 Flash.
Which is better for long documents?
Claude Fable 5.1 scores higher on long-context benchmarks (68 vs 66). Both take about 1M tokens: Claude Fable 5.1 1,000,000, Gemini 3.8 Flash 1,048,576.
Which has lower latency?
Gemini 3.8 Flash (high) answers first: 25.1 s against 163.2 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 Gemini 3.8 Flash?
Gemini 3.8 Flash streams faster: 141 against 68 output tokens per second.
Do independent benchmarks agree on Claude Fable 5.1 vs Gemini 3.8 Flash?
Across the 59 benchmarks both have, Claude Fable 5.1 leads 48, Gemini 3.8 Flash leads 11. Every overall index that rates both puts Claude Fable 5.1 ahead.
When was Gemini 3.8 Flash released?
Gemini 3.8 Flash was released on 2 Sept 2026.