BenchLeader

Claude Fable 5 vs Gemini 4 Carbon

Full profiles: Claude Fable 5 (Anthropic) and Gemini 4 Carbon (Google): every benchmark, price and rank.

Updated · Data from 10 sources

As of 29 Oct 2026, Claude Fable 5 and Gemini 4 Carbon are neck and neck on quality (66.6 vs 65.1 on the BenchLeader Index, inside the ±6.7 margin), and Gemini 4 Carbon is 2.5× cheaper at $8.00 vs $20.00 per 1M tokens blended. Choose Claude Fable 5 for reasoning (80 vs 79) and fast first answers (3.9 s vs 103.1 s); choose Gemini 4 Carbon for knowledge (76 vs 67) and coding (72 vs 70), where it also streams ~1.5× faster.

Key facts (as of 29 Oct 2026)

  • Claude Fable 5 scores 66.6 on the BenchLeader Index and Gemini 4 Carbon scores 65.1 (BenchLeader, 29 Oct 2026).
  • Claude Fable 5 costs $20.00 per 1M tokens blended (list price, 29 Oct 2026).
  • Gemini 4 Carbon costs $8.00 per 1M tokens blended (list price, 29 Oct 2026).
  • Gemini 4 Carbon streams ~1.5× faster than Claude Fable 5 (Artificial Analysis, 7-day median, 29 Oct 2026).
  • Of the 4 benchmarks both models have, Gemini 4 Carbon leads 3 (BenchLeader, 29 Oct 2026).

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
CodingGemini 4 Carbon72 vs 70 category score; Vibe Code Bench v1.1 89.1% vs 90.3%Medium
ReasoningClaude Fable 580 vs 79 category scoreMedium
KnowledgeGemini 4 Carbon76 vs 67 category scoreHigh
Chat quality (human preference)–Only Claude Fable 5 has an Arena rating (68 category score)Not comparable
Lowest costGemini 4 Carbon$8.00 vs $20.00 per 1M blended; agentic coding session $0.320 vs $0.800–
Fastest first answerClaude Fable 53.9 s (Claude Fable 5) vs 103.1 s (Gemini 4 Carbon (high)) 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 and Gemini 4 Carbon (high) are neck and neck on quality (66.6 vs 65.1, within the ±6.7 margin).
  • Claude Fable 5 is stronger in agents & tools, human preference, reasoning.
  • Gemini 4 Carbon (high) is stronger in coding, knowledge, long context.
  • Gemini 4 Carbon (high) is 2.5× cheaper ($8.00 vs $20.00 per 1M blended).
  • Gemini 4 Carbon (high) streams 1.8× faster (100 vs 56 tokens per second).

At a glance

SpecClaude Fable 5Gemini 4 Carbon
DeveloperAnthropicGoogle
Released9 Jun 202628 Oct 2026
Context window (tokens)1,000,0001,000,000
Compared atClaude Fable 5Gemini 4 Carbon (high)
Open weightsNoNo
Price in / out / cached input per 1M$10.00 / $50.00 / $1.00$4.00 / $20.00 / –

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 5Gemini 4 Carbon (high)Leader
Reasoning80.078.9Claude Fable 5
Coding70.471.7Gemini 4 Carbon
Agents & tools64.2–not comparable
Knowledge66.575.8Gemini 4 Carbon
Human preference67.7–not comparable
Long context–64.5not comparable

Where sources disagree

Across the 4 benchmarks both have, Claude Fable 5 leads 1, Gemini 4 Carbon leads 3.

Overall indexClaude Fable 5Gemini 4 Carbon (high)Leader
BenchLeader Index66.665.1neck and neck

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 5Gemini 4 Carbon (high)
Blended price per 1M tokens$20.00$8.00
Input / output per 1M$10.00 / $50.00$4.00 / $20.00
Cached input per 1M$1.00–
Price per task: chat reply$0.019$0.0076
Price per task: summarize a 30-page report$0.150$0.060
Price per task: code edit$0.135$0.054
Price per task: agentic coding session$0.800$0.320
Price per task: structured extraction$0.030$0.012
Cost to run a full benchmark suite–$7.76
Output speed56 tok/s100 tok/s
Time to first answer3.9 s103.1 s
Time to a complete answer–108.1 s

Each model is compared at its best-ranked reasoning-effort setting. Claude Fable 5 scores 66.6 and takes 4 s to its first answer token; Claude Fable 5 (max) scores 65.3 in 73 s, Claude Fable 5 (high) scores 64.5 in 4 s. Gemini 4 Carbon (high) scores 65.1 and takes 103 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

125 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 5Gemini 4 Carbon (high)
BenchLeader IndexBenchLeader66.665.1
Agents & tools scoreBenchLeader64.2–
Coding scoreBenchLeader70.471.7
Human preference scoreBenchLeader67.7–
Knowledge scoreBenchLeader66.575.8
Reasoning scoreBenchLeader80.078.9
Long context scoreBenchLeader–64.5
Blended price $/MBenchLeader$20.00$8.00
Output speedBenchLeader56 tok/s100 tok/s
Time to first answerBenchLeader3.9 s103.1 s
Context windowBenchLeader1,000,000 tokens1,000,000 tokens
Reasoning
GPQA DiamondEpoch AI Benchmarking Hub85.9%†–
SimpleBenchSimpleBench81.9%†–
Arena Hard PromptsArena (LMArena)1529†–
LiveBench 1.0 ReasoningLiveBench89.7%†–
GPQA Diamond (AA)Artificial Analysis92.6%†–
Humanity's Last Exam (AA)Artificial Analysis55.5%†60.4%
HLE-Diamond (AA)Artificial Analysis–69.1%
GPQA Diamond (Vals)Vals AI93.2%–
EnigmaEvalScale AI SEAL39.3%†–
Kagi LLM BenchmarkKagi LLM Benchmark88.8%–
ARC-AGI-1ARC Prize98.5%†–
ARC-AGI-2ARC Prize89.2%†–
CritPtArtificial Analysis28.6%†36.0%
CritPt v2 hard subset (AA)Artificial Analysis–63.0%
Chess PuzzlesEpoch AI Benchmarking Hub47.0%†–
Mystery Game PuzzlesEpoch AI Benchmarking Hub52.0%†–
LMCAEpoch AI Benchmarking Hub60.3%†–
DTBenchEpoch AI Benchmarking Hub98.4%†–
ForecastBenchForecastBench66.0%†–
BTF-3Epoch AI Benchmarking Hub13.0%†–
Coding
SciCodeSciCode61.0%†64.2%
WeirdMLWeirdML91.9%†–
FrontierCodeCognition53.5%–
GSO-BenchGSO-Bench78.4%–
Arena CodingArena (LMArena)1551†–
Show all 125 benchmarks
MetricPublisherClaude Fable 5Gemini 4 Carbon (high)
Coding
Arena WebDevArena (LMArena)1624†–
LiveBench 1.0 CodingLiveBench86.0%†–
LiveCodeBenchVals AI89.8%–
SWE-bench (Vals)Vals AI95.0%–
Code MigrationVals AI55.1%–
ProgramBenchVals AI2.0%–
Vibe Code Bench v1.1Vals AI90.3%89.1%
SWE Atlas: Codebase QnAScale AI SEAL39.0%†–
SWE Atlas: RefactoringScale AI SEAL54.8%†–
SWE Atlas: Test WritingScale AI SEAL55.6%†–
MirrorCodeEpoch AI Benchmarking Hub63.9%†–
Surface Evolver BenchEpoch AI Benchmarking Hub95.0%†–
DeepSWE v1.1Epoch AI Benchmarking Hub69.7%†–
ALE-BenchEpoch AI Benchmarking Hub2041.3†–
FrontierSWEEpoch AI Benchmarking Hub47.0%†–
Terminal-Bench 4.0 (AA)Artificial Analysis42.4%†65.2%
Terminal-Bench 2.1 (AA)Artificial Analysis84.6%†–
Startrise FrontendStartrise73.8%–
FrontierCode 1.1 (AA)Artificial Analysis–48.5%
FrontierCode 2.0 (AA)Artificial Analysis–40.6%
Agents & tools
Terminal-BenchTerminal-Bench44.5%†–
Remote Labor IndexScale AI / CAIS16.1%–
APEX-AgentsMercor63.6%–
Arena AgentArena (LMArena)7.8†–
LiveBench Agentic CodingLiveBench62.2%†–
Terminal-Bench HardArtificial Analysis62.9%†–
τ²-Bench Telecom (AA)Artificial Analysis98.5%†–
Terminal-Bench 2.1 (Vals)Vals AI80.5%–
MCP AtlasScale AI SEAL83.3%–
HiL-BenchScale AI SEAL56.3%–
τ³-bench Bankingτ²-bench39.7%†–
τ³-Banking (AA)Artificial Analysis38.1%†–
Analyst Agent (AA)Artificial Analysis48.8%†–
Finance Agent v2Vals AI56.3%–
Finance Agent v2.1Vals AI–67.2%
Harvey's Legal Agent Benchmark v1.1Vals AI–17.5%
Harvey's Legal Agent Benchmark v1Vals AI11.3%–
Legal Research BenchVals AI49.5%55.8%
Tax Agent BenchVals AI38.3%48.9%
Terminal-Bench 4.0 (Vals)Vals AI41.4%63.1%
Terminal-Bench ScienceVals AI15.7%–
Web Search IndexVals AI46.9%–
Arena SearchArena (LMArena)1229†–
PostTrainBenchEpoch AI Benchmarking Hub41.8%†–
GBAEvalEpoch AI Benchmarking Hub74.5%–
Vending-Bench 2Andon Labs4529.916484.2†
AutomationBenchArtificial Analysis54.1%†77.8%
GDP.pdf (AA)Artificial Analysis24.0%†28.4%
EnterpriseOps-GymArtificial Analysis51.1%†–
AA-Briefcase v1.1Artificial Analysis1535†1609
Terminal-Bench-Science 0.1 (AA)Artificial Analysis–64.8%
Maths
FrontierMath Tiers 1–3Epoch AI Benchmarking Hub87.0%†–
FrontierMath Tier 4Epoch AI Benchmarking Hub90.2%†–
OTIS Mock AIMEEpoch AI Benchmarking Hub99.7%†–
ProofBenchVals AI95.0%†–
LiveBench MathematicsLiveBench96.0%†–
Arena MathsArena (LMArena)1521†–
Knowledge
SimpleQA VerifiedEpoch AI Benchmarking Hub70.7%†–
LiveBench 1.0 Data AnalysisLiveBench80.5%†–
AA-Omniscience v1.1Artificial Analysis–53.5
MMLU-ProVals AI91.5%–
LegalBenchVals AI88.6%–
CorpFinVals AI71.8%–
TaxEvalVals AI76.9%–
PRBench FinanceScale AI SEAL53.9%–
PRBench LegalScale AI SEAL52.6%–
Excel Modeling BenchmarkVals AI73.7%–
Excel Modeling Benchmark v1.1Vals AI–76.5%
MedCodeVals AI56.1%–
MedScribeVals AI88.5%–
Public Benefits Bench v1.1Vals AI70.4%–
EBR-benchEpoch AI Benchmarking Hub39.5%†–
GDP.pdfEpoch AI Benchmarking Hub30.0%–
AA-Omniscience v1.1: accuracyArtificial Analysis–58.3%
AA-Omniscience v1.1: non-hallucinationArtificial Analysis–88.6%
Instruction following
LiveBench LanguageLiveBench90.7%†–
LiveBench Instruction FollowingLiveBench75.8%†–
IFBenchArtificial Analysis63.5%†–
Arena Instruction FollowingArena (LMArena)1508†–
Human preference
Arena TextArena (LMArena)1503†–
EQ-Bench 4EQ-Bench1313–
Arena Creative WritingArena (LMArena)1501†–
Arena Multi-turnArena (LMArena)1517†–
Arena Longer QueriesArena (LMArena)1522†–
Multimodal
Arena VisionArena (LMArena)1325†–
MMMU-Pro (Vals)Vals AI89.3%–
MortgageTaxVals AI68.9%–
Blueprint-Bench 2Epoch AI Benchmarking Hub38.6%58.6%†
Long context
AA-LCR v1.1Artificial Analysis82.3%†79.3%
Arena DocumentArena (LMArena)1499–
MLCRArtificial Analysis20.6%†–
Composite
Epoch Capabilities IndexEpoch AI Benchmarking Hub163.4–
LiveBench 1.0LiveBench83.0%†–
AA Intelligence Index v5.0Artificial Analysis–59.4
AA Intelligence Index v4.3.2Artificial Analysis49.6†–
AA Progress Index v1Artificial Analysis329.3†351.6
Vals IndexVals AI–70.4
Vals Finance IndexVals AI–66.3%
Vals RSI IndexVals AI24.3%†–
Vals Multimodal IndexVals AI74.2%–

Data as of 2026-10-29. Best configuration of each model; every score links to its source on the model pages.

What changed

  • Claude Fable 5: BenchLeader Index 67.1 → 66.5.
  • Claude Fable 5: 1 score revision.
  • Claude Fable 5: 1 new result (Harvey's Legal Agent Benchmark v1).
  • Claude Fable 5: 1 score revision.
  • Claude Fable 5: BenchLeader Index 67.8 → 67.1.
  • Claude Fable 5: 8 new results (LiveBench 2.0, LiveBench Long Agentic, LiveBench 2.0 Reasoning…).
  • Claude Fable 5: 1 new result (Startrise Frontend); 1 score revision.
  • Claude Fable 5: 1 new result (PRBench Legal).
  • Claude Fable 5: 1 new result (PRBench Legal).
  • Claude Fable 5: 1 new result (PRBench Finance).

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

Claude Fable 5 vs Gemini 4 Carbon: questions

Is Claude Fable 5 better than Gemini 4 Carbon?
Claude Fable 5 and Gemini 4 Carbon (high) are neck and neck on quality (66.6 vs 65.1, within the ±6.7 margin). The BenchLeader Index combines every independent quality benchmark; the two are within the margin of error as of 29 Oct 2026, so check the category scores for your use.
Claude Fable 5 vs Gemini 4 Carbon: which is cheaper, and will that change?
Gemini 4 Carbon is cheaper today: $8.00 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 or Gemini 4 Carbon better for coding?
Gemini 4 Carbon scores higher in coding (72 vs 70 on the category index, where 50 is average).
Which is faster, Claude Fable 5 or Gemini 4 Carbon?
Gemini 4 Carbon streams ~1.5× faster (100 vs 56 output tokens per second, Artificial Analysis 7-day median).
Which is better for long documents?
Both accept 1,000,000 tokens of context.
More questions (3)
Which has lower latency?
Claude Fable 5 answers first: 3.9 s against 103.1 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.
Do independent benchmarks agree on Claude Fable 5 vs Gemini 4 Carbon?
Across the 4 benchmarks both have, Claude Fable 5 leads 1, Gemini 4 Carbon leads 3.
When was Gemini 4 Carbon released?
Gemini 4 Carbon was released on 28 Oct 2026.