BenchLeader

Claude Opus 4.6 vs Gemini 4 Hydrogen

Full profiles: Claude Opus 4.6 (Anthropic) and Gemini 4 Hydrogen (Google): every benchmark, price and rank.

Updated · Data from 9 sources

As of 13 Nov 2026, Claude Opus 4.6 and Gemini 4 Hydrogen are neck and neck on quality (62.6 vs 63.4 on the BenchLeader Index, inside the ±3.5 margin), and Gemini 4 Hydrogen is 3.3× cheaper at $3.00 vs $10.00 per 1M tokens blended. Choose Claude Opus 4.6 for reasoning (76 vs 70) and fast first answers (1.1 s vs 16.4 s); choose Gemini 4 Hydrogen for knowledge (69 vs 62), coding (69 vs 64), and maths (68 vs 65), where it also streams 3×+ faster.

Key facts (as of 13 Nov 2026)

  • Claude Opus 4.6 scores 62.6 on the BenchLeader Index and Gemini 4 Hydrogen scores 63.4 (BenchLeader, 13 Nov 2026).
  • Claude Opus 4.6 costs $10.00 per 1M tokens blended (list price, 13 Nov 2026).
  • Gemini 4 Hydrogen costs $3.00 per 1M tokens blended (list price, 13 Nov 2026).
  • Gemini 4 Hydrogen streams 3×+ faster than Claude Opus 4.6 (Artificial Analysis, 7-day median, 13 Nov 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 Hydrogen69 vs 64 category scoreMedium
MathsGemini 4 Hydrogen68 vs 65 category scoreMedium
ReasoningClaude Opus 4.676 vs 70 category scoreMedium
KnowledgeGemini 4 Hydrogen69 vs 62 category scoreMedium
Chat quality (human preference)–Only Gemini 4 Hydrogen has an Arena rating (68 category score)Not comparable
Lowest costGemini 4 Hydrogen$3.00 vs $10.00 per 1M blended; agentic coding session $0.120 vs $0.400–
Fastest first answerClaude Opus 4.61.1 s (Claude Opus 4.6 (thinking)) vs 16.4 s (Gemini 4 Hydrogen (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 Opus 4.6 (thinking) and Gemini 4 Hydrogen (high) are neck and neck on quality (62.6 vs 63.4, within the ±3.5 margin).
  • Claude Opus 4.6 (thinking) is stronger in reasoning.
  • Gemini 4 Hydrogen (high) is stronger in coding, knowledge, maths.
  • Gemini 4 Hydrogen (high) is 3.3× cheaper ($3.00 vs $10.00 per 1M blended).
  • Gemini 4 Hydrogen (high) streams 4.9× faster (180 vs 37 tokens per second).

At a glance

SpecClaude Opus 4.6Gemini 4 Hydrogen
DeveloperAnthropicGoogle
Released5 Feb 202612 Nov 2026
Context window (tokens)1,000,0001,048,576
Compared atClaude Opus 4.6 (thinking)Gemini 4 Hydrogen (high)
Open weightsNoNo
Price in / out / cached input per 1M$5.00 / $25.00 / $0.500$1.50 / $7.50 / $0.075

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 Opus 4.6 (thinking)Gemini 4 Hydrogen (high)Leader
Reasoning75.669.6Claude Opus 4.6
Coding63.968.8Gemini 4 Hydrogen
Agents & tools–61.9not comparable
Maths65.367.8Gemini 4 Hydrogen
Knowledge62.368.5Gemini 4 Hydrogen
Human preference–68.2not comparable

On one chart

Each domain on the index's own scale, where 50 is an average model. Click a domain to see the benchmarks behind it. Pick up to 5 models from the list.

2550 avg75ReasoningCodingMathsKnowledgeClaude Opus 4.6, Reasoning: 75.6Claude Opus 4.6, Coding: 63.9Claude Opus 4.6, Maths: 65.3Claude Opus 4.6, Knowledge: 62.3Gemini 4 Hydrogen, Reasoning: 69.6Gemini 4 Hydrogen, Coding: 68.8Gemini 4 Hydrogen, Maths: 67.8Gemini 4 Hydrogen, Knowledge: 68.5

Not drawn, measured for fewer than two of these models: Agents & tools, Instruction following, Long context, Multimodal, Human preference.

Model, click to add or removeIndex

Where sources disagree

Across the 0 benchmarks both have, Claude Opus 4.6 leads 0, Gemini 4 Hydrogen leads 0. Every overall index that rates both puts Claude Opus 4.6 ahead.

Overall indexClaude Opus 4.6 (thinking)Gemini 4 Hydrogen (high)Leader
BenchLeader Index62.663.4neck and neck
Arena Text1503†1490Claude Opus 4.6

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. Cost, tokens and time per benchmark task are measured: Artificial Analysis’ averages over its whole Intelligence Index run.

MeasureClaude Opus 4.6 (thinking)Gemini 4 Hydrogen (high)
Blended price per 1M tokens$10.00$3.00
Input / output per 1M$5.00 / $25.00$1.50 / $7.50
Cached input per 1M$0.500$0.075
Price per task: chat reply$0.0095$0.0029
Price per task: summarize a 30-page report$0.075$0.022
Price per task: code edit$0.068$0.020
Price per task: agentic coding session$0.400$0.120
Price per task: structured extraction$0.015$0.0045
Agentic coding session, input mostly cached$0.198$0.056
Cost per benchmark task (AA Index)–$1.87
Output tokens per task (AA Index)–85k
Of which reasoning–48k
Time per task (AA Index)–8 min
Output speed37 tok/s180 tok/s
Time to first answer1.1 s16.4 s
Time to a complete answer–63.3 s

Each model is compared at its best-ranked reasoning-effort setting. Claude Opus 4.6 (thinking) scores 62.6 and takes 1 s to its first answer token; Claude Opus 4.6 (high) scores 62.5 in 1 s, Claude Opus 4.6 scores 62.1 in 1 s. Gemini 4 Hydrogen (high) scores 63.4 and takes 16 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

140 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 Opus 4.6 (thinking)Gemini 4 Hydrogen (high)
BenchLeader IndexBenchLeader62.663.4
Coding scoreBenchLeader63.968.8
Knowledge scoreBenchLeader62.368.5
Maths scoreBenchLeader65.367.8
Reasoning scoreBenchLeader75.669.6
Agents & tools scoreBenchLeader–61.9
Human preference scoreBenchLeader–68.2
Blended price $/MBenchLeader$10.00$3.00
Output speedBenchLeader37 tok/s180 tok/s
Time to first answerBenchLeader1.1 s16.4 s
Context windowBenchLeader1,000,000 tokens1,048,576 tokens
Reasoning
GPQA DiamondEpoch AI Benchmarking Hub90.5%†–
Humanity's Last ExamScale AI / CAIS19.0%†–
SimpleBenchSimpleBench67.6%†–
Arena Hard PromptsArena (LMArena)1526†1514
LiveBench 2.0 ReasoningLiveBench–88.6%†
LiveBench 1.0 ReasoningLiveBench88.7%†–
GPQA Diamond (AA)Artificial Analysis84.0%†–
Humanity's Last Exam (AA)Artificial Analysis19.1%†–
HLE-Diamond (AA)Artificial Analysis–54.9%
GPQA Diamond (Vals)Vals AI89.7%–
Kagi LLM BenchmarkKagi LLM Benchmark83.6%–
ARC-AGI-1ARC Prize94.0%†–
ARC-AGI-2ARC Prize69.2%†–
ARC-AGI-3ARC Prize0.5%†–
CritPtArtificial Analysis2.8%†–
CritPt v2 hard subset (AA)Artificial Analysis–61.5%
Chess PuzzlesEpoch AI Benchmarking Hub21.0%†–
Mystery Game PuzzlesEpoch AI Benchmarking Hub15.0%†–
CL-benchEpoch AI Benchmarking Hub20.7%†–
CL-bench LifeEpoch AI Benchmarking Hub13.6%†–
LMCAEpoch AI Benchmarking Hub55.8%†–
DTBenchEpoch AI Benchmarking Hub91.2%†–
ForecastBenchForecastBench63.1%†–
Coding
SWE-bench Verified (Epoch)Epoch AI Benchmarking Hub78.7%†–
WeirdMLWeirdML77.9%†–
Show all 140 benchmarks
MetricPublisherClaude Opus 4.6 (thinking)Gemini 4 Hydrogen (high)
Coding
FrontierCodeCognition26.6%†–
GSO-BenchGSO-Bench33.3%†–
Arena CodingArena (LMArena)1547†1518
Arena WebDevArena (LMArena)1537†1704
LiveBench 2.0 CodingLiveBench–78.5%†
LiveBench 1.0 CodingLiveBench78.2%†–
LiveCodeBenchVals AI84.7%–
SWE-bench (Vals)Vals AI78.2%–
SWE-Bench ProScale AI SEAL51.9%–
SWE-bench Verified (bash only)SWE-bench75.6%†–
SWE-bench Verified (any scaffold)SWE-bench75.6%†–
Vibe Code Bench v1.1Vals AI53.5%87.8%†
SWE-Bench Pro (private)Scale AI SEAL51.9%–
SWE Atlas: Codebase QnAScale AI SEAL33.3%†–
SWE Atlas: RefactoringScale AI SEAL35.6%†–
SWE Atlas: Test WritingScale AI SEAL36.7%†–
MirrorCodeEpoch AI Benchmarking Hub33.3%†–
ALE-BenchEpoch AI Benchmarking Hub996.5†–
AlgoTuneAlgoTune1.5†–
Terminal-Bench 4.0 (AA)Artificial Analysis–54.0%
Design Arena WebsiteDesign Arena12781316†
FrontierCode 2.0 (AA)Artificial Analysis–36.3%
Agents & tools
Terminal-BenchTerminal-Bench79.8%†56.4%
CybenchCybench93.0%†–
Remote Labor IndexScale AI / CAIS4.2%†–
APEX-AgentsMercor46.3%†–
LiveBench Long AgenticLiveBench–61.8%†
LiveBench BrowserLiveBench–77.1%†
LiveBench Agentic CodingLiveBench49.0%†–
Terminal-Bench HardArtificial Analysis48.5%†–
τ²-Bench Telecom (AA)Artificial Analysis84.8%†–
MCP AtlasScale AI SEAL76.8%†–
HiL-BenchScale AI SEAL38.3%†–
τ³-bench Bankingτ²-bench27.3%†–
APEX-Agents (AA)Artificial Analysis33.0%†–
Finance Agent v2.1Vals AI–65.1%†
Harvey's Legal Agent Benchmark v1.1Vals AI–11.3%†
Legal Research BenchVals AI–53.9%†
Tax Agent BenchVals AI–52.3%†
Terminal-Bench 2.0 (Vals)Vals AI58.4%–
Terminal-Bench 4.0 (Vals)Vals AI–54.0%†
Arena SearchArena (LMArena)1222†–
DeepResearch BenchDeepResearch Bench55.3%†–
METR Time HorizonsMETR78.9%†–
GBAEvalEpoch AI Benchmarking Hub44.1%†–
Vending-Bench 2Andon Labs8017.6†–
AutomationBenchArtificial Analysis–74.4%
GDP.pdf (AA)Artificial Analysis–30.0%
AA-Briefcase v1.1Artificial Analysis–1497
Design Arena AgenticDesign Arena1189†–
Terminal-Bench-Science 0.1 (AA)Artificial Analysis–41.4%
Maths
FrontierMath Tiers 1–3Epoch AI Benchmarking Hub66.0%†–
FrontierMath Tier 4Epoch AI Benchmarking Hub26.8%†–
OTIS Mock AIMEEpoch AI Benchmarking Hub94.4%†–
ProofBenchVals AI50.0%†–
LiveBench MathematicsLiveBench89.3%†–
AIME (Vals)Vals AI95.6%–
AIME 2026MathArena96.7%†–
HMMT February 2026MathArena96.2%†–
USAMO 2026MathArena47.0%†–
MathArena ApexMathArena34.5%†–
Arena MathsArena (LMArena)1503†1495
Knowledge
SimpleQA VerifiedEpoch AI Benchmarking Hub47.0%†–
LiveBench 2.0 Data AnalysisLiveBench–83.2%†
LiveBench ResearchLiveBench–86.8%†
LiveBench 1.0 Data AnalysisLiveBench69.9%†–
AA-Omniscience v1.1Artificial Analysis–43.7
MMLU-ProVals AI89.1%–
LegalBenchVals AI85.3%–
CorpFinVals AI67.0%–
TaxEvalVals AI76.0%–
MedQAVals AI95.4%–
PRBench FinanceScale AI SEAL53.3%†–
PRBench LegalScale AI SEAL52.3%†–
MultiNRCScale AI SEAL48.3%†–
CaseLaw v2Vals AI62.1%–
Excel Modeling Benchmark v1.1Vals AI–75.8%†
MedCodeVals AI49.1%–
MedScribeVals AI86.1%–
DrugDiscoveryBenchScale AI SEAL27.7%†–
EBR-benchEpoch AI Benchmarking Hub12.7%†–
AA-Omniscience v1.1: accuracyArtificial Analysis–48.2%
AA-Omniscience v1.1: non-hallucinationArtificial Analysis–91.3%
Global-MMLU-Lite (AA)Artificial Analysis92.2%†–
Instruction following
LiveBench LanguageLiveBench83.3%†–
LiveBench Instruction FollowingLiveBench63.3%†–
IFBenchArtificial Analysis44.6%†–
MultiChallengeScale AI SEAL56.0%†–
TutorBenchScale AI SEAL53.5%†–
Arena Instruction FollowingArena (LMArena)1499†1503
Human preference
Arena TextArena (LMArena)1496†1490
EQ-Bench 4EQ-Bench1210†–
Arena Creative WritingArena (LMArena)1478†1492
Arena Multi-turnArena (LMArena)1509†1476
Arena Longer QueriesArena (LMArena)1517†1514
Multimodal
Arena VisionArena (LMArena)1312†–
LiveBench DesignLiveBench–77.3%†
MMMU-ProArtificial Analysis72.5%†–
VISTAScale AI SEAL45.5%†–
MMMU-Pro (Vals)Vals AI83.9%–
MortgageTaxVals AI68.5%–
VTBScale AI SEAL27.5%–
Long context
AA-LCR v1.1Artificial Analysis67.0%†–
Arena DocumentArena (LMArena)1496†–
MLCRArtificial Analysis–21.1%†
Composite
Epoch Capabilities IndexEpoch AI Benchmarking Hub156.3†–
LiveBench 2.0LiveBench–77.0%†
LiveBench 1.0LiveBench74.5%†–
AA Intelligence Index v5.0Artificial Analysis–50.8
AA Intelligence Index v4.3.2Artificial Analysis26.4†–
AA Progress Index v1Artificial Analysis274.5†–
Vals IndexVals AI–68.5†
Vals Finance IndexVals AI–66.1%†
Safety & honesty
FORTRESSScale AI SEAL20.5%†–
MASKScale AI SEAL96.3%†–

Data as of 2026-11-13. Best configuration of each model; every score links to its source on the model pages.

What changed

  • Gemini 4 Hydrogen (high): 10 new results (Arena Text, Arena Hard Prompts, Arena Coding…).
  • Claude Opus 4.6 (thinking): BenchLeader Index 62.1 → 62.6.

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

Claude Opus 4.6 vs Gemini 4 Hydrogen: questions

Is Claude Opus 4.6 better than Gemini 4 Hydrogen?
Claude Opus 4.6 (thinking) and Gemini 4 Hydrogen (high) are neck and neck on quality (62.6 vs 63.4, within the ±3.5 margin). The BenchLeader Index combines every independent quality benchmark; the two are within the margin of error as of 13 Nov 2026, so check the category scores for your use.
Claude Opus 4.6 vs Gemini 4 Hydrogen: which is cheaper, and will that change?
Gemini 4 Hydrogen is cheaper today: $3.00 against $10.00 per million tokens, blended at three input tokens per output token. No price change has been announced for either.
Is Claude Opus 4.6 or Gemini 4 Hydrogen better for coding?
Gemini 4 Hydrogen scores higher in coding (69 vs 64 on the category index, where 50 is average).
Which is faster, Claude Opus 4.6 or Gemini 4 Hydrogen?
Gemini 4 Hydrogen streams 3×+ faster (180 vs 37 output tokens per second, Artificial Analysis 7-day median).
Which is better for long documents?
Both take about 1M tokens: Claude Opus 4.6 1,000,000, Gemini 4 Hydrogen 1,048,576.
More questions (2)
Which has lower latency?
Claude Opus 4.6 answers first: 1.1 s against 16.4 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.
When was Gemini 4 Hydrogen released?
Gemini 4 Hydrogen was released on 12 Nov 2026.