BenchLeader

Claude Opus 5.5 vs Gemini 4 Carbon

Full profiles: Claude Opus 5.5 (Anthropic) and Gemini 4 Carbon (Google): every benchmark, price and rank.

Updated · Data from 10 sources

As of 29 Oct 2026, Claude Opus 5.5 and Gemini 4 Carbon are neck and neck on quality (69.1 vs 65.1 on the BenchLeader Index, inside the ±7.8 margin), and they cost about the same at $8.00 vs $8.00 per 1M tokens blended. Choose Claude Opus 5.5 for coding (80 vs 72) and long context (67 vs 65); choose Gemini 4 Carbon for fast first answers (103.1 s vs 663.7 s) and reasoning (79 vs 73) and knowledge (76 vs 74).

Key facts (as of 29 Oct 2026)

  • Claude Opus 5.5 scores 69.1 on the BenchLeader Index and Gemini 4 Carbon scores 65.1 (BenchLeader, 29 Oct 2026).
  • Claude Opus 5.5 costs $8.00 per 1M tokens blended (list price, 29 Oct 2026).
  • Gemini 4 Carbon costs $8.00 per 1M tokens blended (list price, 29 Oct 2026).
  • Of the 17 benchmarks both models have, Gemini 4 Carbon leads 10 (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
CodingClaude Opus 5.580 vs 72 category score; FrontierCode 2.0 (AA) 46.4% vs 40.6%High
ReasoningGemini 4 Carbon79 vs 73 category score; HLE-Diamond (AA) 69.1% vs 67.9%Medium
KnowledgeGemini 4 Carbon76 vs 74 category score; AA-Omniscience v1.1 53.5 vs 48.1Medium
Long documentsClaude Opus 5.567 vs 65 category score; AA-LCR v1.1 84.7% vs 79.3%Medium
Lowest costEither$8.00 vs $8.00 per 1M blended; agentic coding session $0.320 vs $0.320–
Fastest first answerGemini 4 Carbon103.1 s (Gemini 4 Carbon (high)) vs 663.7 s (Claude Opus 5.5 (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 Opus 5.5 (max) and Gemini 4 Carbon (high) are neck and neck on quality (69.1 vs 65.1, within the ±7.8 margin).
  • Claude Opus 5.5 (max) is stronger in agents & tools, coding, long context, maths, multimodal.
  • Gemini 4 Carbon (high) is stronger in knowledge, reasoning.
  • They cost about the same ($8.00 per 1M blended).

At a glance

SpecClaude Opus 5.5Gemini 4 Carbon
DeveloperAnthropicGoogle
Released22 Sept 202628 Oct 2026
Context window (tokens)1,000,0001,000,000
Max output (tokens)128,000 (up to 300K on the Message Batches API (beta))–
Input typestext, image–
Reasoning effort settingslow, medium, high, xhigh, max–
Compared atClaude Opus 5.5 (max)Gemini 4 Carbon (high)
Open weightsNoNo
Price in / out / cached input per 1M$4.00 / $20.00 / $0.200$4.00 / $20.00 / –
API model IDclaude-opus-5-5–
Where to use itClaude API, Amazon Bedrock, Google Cloud, Microsoft Foundry–

Limits, availability and announced prices from the vendors' own pages: docs.anthropic.com (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 Opus 5.5 (max)Gemini 4 Carbon (high)Leader
Reasoning72.778.9Gemini 4 Carbon
Coding80.271.7Claude Opus 5.5
Agents & tools63.1–not comparable
Maths74.0–not comparable
Knowledge73.975.8Gemini 4 Carbon
Multimodal70.6–not comparable
Long context67.364.5Claude Opus 5.5

Where sources disagree

Across the 17 benchmarks both have, Claude Opus 5.5 leads 7, Gemini 4 Carbon leads 10. Every overall index that rates both puts Gemini 4 Carbon ahead.

Overall indexClaude Opus 5.5 (max)Gemini 4 Carbon (high)Leader
BenchLeader Index69.165.1neck and neck
AA Intelligence Index v5.058.459.4Gemini 4 Carbon
Vals Index70.2†70.4Gemini 4 Carbon

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 Opus 5.5 (max)Gemini 4 Carbon (high)
Blended price per 1M tokens$8.00$8.00
Input / output per 1M$4.00 / $20.00$4.00 / $20.00
Cached input per 1M$0.200–
Price per task: chat reply$0.0076$0.0076
Price per task: summarize a 30-page report$0.060$0.060
Price per task: code edit$0.054$0.054
Price per task: agentic coding session$0.320$0.320
Price per task: structured extraction$0.012$0.012
Cost to run a full benchmark suite$10.04$7.76
Output speed98 tok/s100 tok/s
Time to first answer663.7 s103.1 s
Time to a complete answer668.7 s108.1 s

Per token is not per task: on Artificial Analysis' full suite Claude Opus 5.5 (max) cost $10.04 and Gemini 4 Carbon (high) $7.76, because Claude Opus 5.5 (max) used about 1.3× as many tokens for the same work.

Each model is compared at its best-ranked reasoning-effort setting. Claude Opus 5.5 (max) scores 69.1 and takes 664 s to its first answer token; Claude Opus 5.5 (xhigh) scores 65.9 in 109 s, Claude Opus 5.5 (high) scores 65.5 in 34 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

124 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 5.5 (max)Gemini 4 Carbon (high)
BenchLeader IndexBenchLeader69.165.1
Agents & tools scoreBenchLeader63.1–
Coding scoreBenchLeader80.271.7
Knowledge scoreBenchLeader73.975.8
Long context scoreBenchLeader67.364.5
Maths scoreBenchLeader74.0–
Multimodal scoreBenchLeader70.6–
Reasoning scoreBenchLeader72.778.9
Blended price $/MBenchLeader$8.00$8.00
Output speedBenchLeader98 tok/s100 tok/s
Time to first answerBenchLeader663.7 s103.1 s
Context windowBenchLeader1,000,000 tokens1,000,000 tokens
Reasoning
GPQA DiamondEpoch AI Benchmarking Hub90.6%–
Arena Hard PromptsArena (LMArena)1535†–
LiveBench 2.0 ReasoningLiveBench92.2%†–
LiveBench 1.0 ReasoningLiveBench92.2%–
Humanity's Last Exam (AA)Artificial Analysis61.4%60.4%
HLE-Diamond (AA)Artificial Analysis67.9%69.1%
ARC-AGI-1ARC Prize97.5%–
ARC-AGI-2ARC Prize91.7%–
CritPtArtificial Analysis31.7%36.0%
CritPt v2 hard subset (AA)Artificial Analysis61.0%63.0%
MysteryMechanismVals AI49.5%†–
Chess PuzzlesEpoch AI Benchmarking Hub67.0%–
Mystery Game PuzzlesEpoch AI Benchmarking Hub71.0%–
LMCAEpoch AI Benchmarking Hub68.2%–
DTBenchEpoch AI Benchmarking Hub98.9%–
Coding
SciCodeSciCode66.9%64.2%
FrontierCodeCognition54.6%†–
Arena CodingArena (LMArena)1548†–
Arena WebDevArena (LMArena)1809–
LiveBench 2.0 CodingLiveBench96.3%†–
LiveBench 1.0 CodingLiveBench89.3%–
IOIVals AI95.1%†–
Code MigrationVals AI66.7%†–
Code Migration v1.1Vals AI81.0%†–
ProgramBenchVals AI18.5%†–
Show all 124 benchmarks
MetricPublisherClaude Opus 5.5 (max)Gemini 4 Carbon (high)
Coding
SWE-bench MultimodalVals AI70.2%†–
Vibe Code Bench 1-100Vals AI30.4%†–
Vibe Code Bench v1.1Vals AI90.3%†89.1%
MirrorCodeEpoch AI Benchmarking Hub77.4%–
CursorBenchCursor57.8%–
ALE-BenchEpoch AI Benchmarking Hub2147.4†–
FrontierSWEEpoch AI Benchmarking Hub62.3%–
Terminal-Bench 4.0 (AA)Artificial Analysis59.6%65.2%
Startrise FrontendStartrise71.1%†–
FrontierCode 1.1 (AA)Artificial Analysis52.2%48.5%
FrontierCode 2.0 (AA)Artificial Analysis46.4%40.6%
Agents & tools
Terminal-BenchTerminal-Bench64.8%–
Remote Labor IndexScale AI / CAIS21.3%†–
APEX-AgentsMercor73.5%–
Arena AgentArena (LMArena)20.8–
LiveBench Long AgenticLiveBench72.8%†–
LiveBench BrowserLiveBench88.4%†–
LiveBench Agentic CodingLiveBench71.7%–
Terminal-Bench 2.1 (Vals)Vals AI87.6%†–
HiL-BenchScale AI SEAL59.0%†–
GDPval-AA v2.1Artificial Analysis68.3%–
ITBench SRE (AA)Artificial Analysis38.2%–
Analyst Agent (AA)Artificial Analysis56.3%–
CUA-benchVals AI14.0%–
CyberBenchVals AI55.4%†–
Finance Agent v2Vals AI58.6%†–
Finance Agent v2.1Vals AI67.8%†67.2%
Harvey's Legal Agent Benchmark v1.1Vals AI9.2%†17.5%
Harvey's Legal Agent Benchmark v1Vals AI3.8%†–
Legal Research BenchVals AI50.5%†55.8%
Robo-benchVals AI14.6%–
SREBenchVals AI33.6%†–
Tax Agent BenchVals AI45.6%†48.9%
Terminal-Bench 4.0 (Vals)Vals AI65.2%†63.1%
Terminal-Bench ScienceVals AI47.1%†–
Time Horizon Index: KSPVals AI91.3%†–
Arena SearchArena (LMArena)1211†–
Vending-Bench 2Andon Labs9235.3†16484.2†
AutomationBenchArtificial Analysis69.5%77.8%
GDP.pdf (AA)Artificial Analysis26.2%28.4%
Harvey LAB-AA v1.1Harvey4.2%–
AA-Briefcase v1.1Artificial Analysis18001609
Terminal-Bench-Science 0.1 (AA)Artificial Analysis59.0%64.8%
CWE-Bench (AA)Artificial Analysis58.3%–
DeepSec-Bench (AA)Artificial Analysis26.9%–
CyberGym end-to-end (AA)Artificial Analysis0.8%–
FACTS SearchGoogle86.5%†–
Maths
FrontierMath Tiers 1–3Epoch AI Benchmarking Hub91.2%–
FrontierMath Tier 4Epoch AI Benchmarking Hub95.0%–
OTIS Mock AIMEEpoch AI Benchmarking Hub100.0%–
ProofBenchVals AI100.0%–
LiveBench MathematicsLiveBench97.1%–
Arena MathsArena (LMArena)1512†–
Knowledge
SimpleQA VerifiedEpoch AI Benchmarking Hub72.2%–
LiveBench 2.0 Data AnalysisLiveBench80.3%†–
LiveBench ResearchLiveBench85.0%†–
LiveBench 1.0 Data AnalysisLiveBench80.3%–
AA-Omniscience v1.1Artificial Analysis48.153.5
PRBench LegalScale AI SEAL47.6%†–
BioMysteryBenchVals AI79.3%†–
ClaimBenchVals AI100.0%†–
Excel Modeling BenchmarkVals AI75.9%†–
Excel Modeling Benchmark v1.1Vals AI75.8%†76.5%
MedCodeVals AI49.8%†–
MedScribeVals AI91.4%†–
Public Benefits Bench v1.1Vals AI70.6%†–
EBR-benchEpoch AI Benchmarking Hub71.4%–
GDP.pdfEpoch AI Benchmarking Hub30.6%–
AA-Omniscience v1.1: accuracyArtificial Analysis65.5%58.3%
AA-Omniscience v1.1: non-hallucinationArtificial Analysis49.7%88.6%
Instruction following
LiveBench LanguageLiveBench86.3%–
LiveBench Instruction FollowingLiveBench65.7%–
Arena Instruction FollowingArena (LMArena)1521†–
Human preference
Arena TextArena (LMArena)1509†–
EQ-Bench 4EQ-Bench1340†–
Arena Creative WritingArena (LMArena)1520†–
Arena Multi-turnArena (LMArena)1503†–
Arena Longer QueriesArena (LMArena)1524†–
Multimodal
Arena VisionArena (LMArena)1321†–
LiveBench DesignLiveBench86.9%†–
MMMU-ProArtificial Analysis87.7%–
SAGEVals AI91.3%†–
Blueprint-Bench 2Epoch AI Benchmarking Hub51.2%†58.6%†
AA-3DArtificial Analysis1196–
Long context
AA-LCR v1.1Artificial Analysis84.7%79.3%
MLCRArtificial Analysis27.8%–
Composite
Epoch Capabilities IndexEpoch AI Benchmarking Hub168.8†–
LiveBench 2.0LiveBench85.1%†–
LiveBench 1.0LiveBench83.2%–
AA Intelligence Index v5.0Artificial Analysis58.459.4
AA Intelligence Index v4.3.2Artificial Analysis57.6–
AA Progress Index v1Artificial Analysis350351.6
Vals IndexVals AI70.2†70.4
Vals Finance IndexVals AI65.6%†66.3%
Vals RSI IndexVals AI37.3%–
Vals Science IndexVals AI58.6%†–
Vals Router IndexVals AI64.2%†–
AA Cyber IndexArtificial Analysis28.7–
Safety & honesty
FORTRESSScale AI SEAL5.8%–

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

What changed

  • Claude Opus 5.5 (max): 5 new results (AA Intelligence Index v5.0, AA Progress Index v1, HLE-Diamond (AA)…); 3 score revisions; cost per task moved from $5.98/M to $10.04/M (68% up).
  • Claude Opus 5.5 (max): 1 score revision.
  • Claude Opus 5.5 (max): 2 new results (Robo-bench, Vals RSI Index).
  • Claude Opus 5.5 (max): 2 score revisions.
  • Claude Opus 5.5 (max): 2 score revisions.
  • Claude Opus 5.5 (max): 1 new result (FORTRESS).
  • Claude Opus 5.5 (max): 1 score revision.
  • Claude Opus 5.5 (max): 1 new result (Chess Puzzles); 1 score revision.
  • Claude Opus 5.5 (max): BenchLeader Index 68.8 → 69.3.
  • Claude Opus 5.5 (max): 1 new result (Arena Agent).

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

Claude Opus 5.5 vs Gemini 4 Carbon: questions

Is Claude Opus 5.5 better than Gemini 4 Carbon?
Claude Opus 5.5 (max) and Gemini 4 Carbon (high) are neck and neck on quality (69.1 vs 65.1, within the ±7.8 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 Opus 5.5 vs Gemini 4 Carbon: which is cheaper, and will that change?
They cost the same: $8.00 per million tokens blended. No price change has been announced for either.
Is Claude Opus 5.5 or Gemini 4 Carbon better for coding?
Claude Opus 5.5 scores higher in coding (80 vs 72 on the category index, where 50 is average). On FrontierCode 2.0 (AA), the top shared coding benchmark, it is 46.4% for Claude Opus 5.5 against 40.6% for Gemini 4 Carbon.
Which is faster, Claude Opus 5.5 or Gemini 4 Carbon?
Gemini 4 Carbon streams faster (100 vs 98 output tokens per second, Artificial Analysis 7-day median).
Which is better for long documents?
Claude Opus 5.5 scores higher on long-context benchmarks (67 vs 65). Both accept 1,000,000 tokens of context.
More questions (3)
Which has lower latency?
Gemini 4 Carbon answers first: 103.1 s against 663.7 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 Opus 5.5 vs Gemini 4 Carbon?
Across the 17 benchmarks both have, Claude Opus 5.5 leads 7, Gemini 4 Carbon leads 10. Every overall index that rates both puts Gemini 4 Carbon ahead.
When was Gemini 4 Carbon released?
Gemini 4 Carbon was released on 28 Oct 2026.