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Gemini 3 Pro vs GPT-5.4 Pro

Full profiles: Gemini 3 Pro (Google) and GPT-5.4 Pro (OpenAI): every benchmark, price and rank.

Updated · Data from 13 sources

As of 29 Oct 2026, Gemini 3 Pro and GPT-5.4 Pro are neck and neck on quality (60.2 vs 63.1 on the BenchLeader Index, inside the ±5.0 margin). GPT-5.4 Pro leads in every category we measure both in.

Key facts (as of 29 Oct 2026)

  • Gemini 3 Pro scores 60.2 on the BenchLeader Index and GPT-5.4 Pro scores 63.1 (BenchLeader, 29 Oct 2026).
  • GPT-5.4 Pro costs $67.50 per 1M tokens blended (list price, 29 Oct 2026).
  • Of the 9 benchmarks both models have, GPT-5.4 Pro leads 7 (BenchLeader, 29 Oct 2026).
Gemini 3 Pro benchmarks Google GPT-5.4 Pro benchmarks OpenAIOpen in the comparison tool

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
ReasoningGPT-5.4 Pro73 vs 66 category score; Humanity's Last Exam 44.3% vs 37.5%Medium
KnowledgeGPT-5.4 Pro74 vs 56 category score; MultiNRC 62.3% vs 59.0%High
Images and other mediaGPT-5.4 Pro70 vs 66 category score; VISTA 53.9% vs 51.5%Medium
Following instructionsGPT-5.4 Pro63 vs 60 category score; MultiChallenge 69.2% vs 65.7%Medium
Chat quality (human preference)–Only Gemini 3 Pro has an Arena rating (68 category score)Not comparable
High volume on a budgetNeither flagshipA smaller model is usually the better fit: Cheapest good LLMs, Fastest LLMs–

Key differences

  • Gemini 3 Pro and GPT-5.4 Pro are neck and neck on quality (60.2 vs 63.1, within the ±5.0 margin).
  • Gemini 3 Pro is stronger in agents & tools, coding, human preference, maths.
  • GPT-5.4 Pro is stronger in instruction following, knowledge, multimodal, reasoning.

At a glance

SpecGemini 3 ProGPT-5.4 Pro
DeveloperGoogleOpenAI
Released18 Nov 20254 Mar 2026
Context window (tokens)–1,050,000
Compared atGemini 3 ProGPT-5.4 Pro
Open weightsNoNo
Price in / out / cached input per 1M–$30.00 / $180.00 / –

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.

CategoryGemini 3 ProGPT-5.4 ProLeader
Reasoning65.672.6GPT-5.4 Pro
Coding57.8–not comparable
Agents & tools61.6–not comparable
Maths54.2–not comparable
Knowledge55.973.6GPT-5.4 Pro
Instruction following59.962.8GPT-5.4 Pro
Human preference67.7–not comparable
Multimodal65.669.8GPT-5.4 Pro

Where sources disagree

Across the 9 benchmarks both have, Gemini 3 Pro leads 2, GPT-5.4 Pro leads 7.

Overall indexGemini 3 ProGPT-5.4 ProLeader
BenchLeader Index60.263.1neck 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.

MeasureGemini 3 ProGPT-5.4 Pro
Blended price per 1M tokens–$67.50
Input / output per 1M– / –$30.00 / $180.00
Price per task: chat reply–$0.066
Price per task: summarize a 30-page report–$0.468
Price per task: code edit–$0.450
Price per task: agentic coding session–$2.52
Price per task: structured extraction–$0.096
Output speed–7 tok/s
Time to first answer–6.7 s

Each model is compared at its best-ranked reasoning-effort setting. Gemini 3 Pro scores 60.2; Gemini 3 Pro (high) scores 60.1. GPT-5.4 Pro scores 63.1 and takes 7 s to its first answer token; GPT-5.4 Pro (xhigh) scores 59.9 in 7 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

103 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.

MetricPublisherGemini 3 ProGPT-5.4 Pro
BenchLeader IndexBenchLeader60.263.1
Agents & tools scoreBenchLeader61.6–
Coding scoreBenchLeader57.8–
Human preference scoreBenchLeader67.7–
Instruction following scoreBenchLeader59.962.8
Knowledge scoreBenchLeader55.973.6
Maths scoreBenchLeader54.2–
Multimodal scoreBenchLeader65.669.8
Reasoning scoreBenchLeader65.672.6
Blended price $/MBenchLeader–$67.50
Output speedBenchLeader–7 tok/s
Time to first answerBenchLeader–6.7 s
Context windowBenchLeader–1,050,000 tokens
Reasoning
GPQA DiamondEpoch AI Benchmarking Hub92.6%94.6%†
Humanity's Last ExamScale AI / CAIS37.5%44.3%
SimpleBenchSimpleBench76.4%74.1%
Arena Hard PromptsArena (LMArena)1502–
GPQA Diamond (AA)Artificial Analysis90.8%†–
Humanity's Last Exam (AA)Artificial Analysis39.7%†–
GPQA Diamond (Vals)Vals AI91.7%†–
Kagi LLM BenchmarkKagi LLM Benchmark80.1%–
GPQA Diamond (HELM)HELM Capabilities80.3%–
ARC-AGI-1ARC Prize75.0%94.5%†
ARC-AGI-2ARC Prize54.0%83.3%†
CritPtArtificial Analysis9.1%†30.0%†
SciPredictScale AI SEAL25.3%–
Chess PuzzlesEpoch AI Benchmarking Hub–59.0%†
CL-benchEpoch AI Benchmarking Hub15.8%–
ForecastBenchForecastBench65.2%–
Coding
SWE-bench Verified (Epoch)Epoch AI Benchmarking Hub72.9%–
WeirdMLWeirdML69.9%57.4%†
GSO-BenchGSO-Bench18.6%–
Arena CodingArena (LMArena)1517–
Arena WebDevArena (LMArena)1440–
LiveCodeBenchVals AI86.4%–
SWE-bench (Vals)Vals AI76.4%†–
SWE-Bench ProScale AI SEAL43.3%–
SWE-bench Verified (bash only)SWE-bench74.2%–
Show all 103 benchmarks
MetricPublisherGemini 3 ProGPT-5.4 Pro
Coding
SWE-bench Verified (any scaffold)SWE-bench77.4%–
Vibe Code Bench v1.1Vals AI14.3%†–
SWE-Bench Pro (private)Scale AI SEAL43.3%–
ALE-BenchEpoch AI Benchmarking Hub1176.8–
AlgoTuneAlgoTune1.8–
LiveCodeBench (AA)Artificial Analysis91.8%†–
Agents & tools
Terminal-BenchTerminal-Bench69.4%–
GDPvalOpenAI40.3%–
Remote Labor IndexScale AI / CAIS1.3%–
Terminal-Bench HardArtificial Analysis41.7%†–
τ²-Bench Telecom (AA)Artificial Analysis87.1%†–
MCP AtlasScale AI SEAL70.3%–
BFCL OverallBerkeley Function Calling Leaderboard72.5%–
τ²-benchτ²-bench82.5%†–
τ³-bench Bankingτ²-bench18.0%†–
Poker AgentVals AI1078.9%–
Terminal-Bench 2.0 (Vals)Vals AI55.1%†–
BALROGBALROG58.1%–
DeepResearch BenchDeepResearch Bench46.3%†–
METR Time HorizonsMETR71.0%–
Vending-Bench 2Andon Labs5478.2–
Maths
FrontierMath Tiers 1–3Epoch AI Benchmarking Hub–82.5%†
FrontierMath Tier 4Epoch AI Benchmarking Hub–58.5%†
OTIS Mock AIMEEpoch AI Benchmarking Hub91.4%–
ProofBenchVals AI20.0%–
AIME (Vals)Vals AI96.7%†–
MGSMVals AI93.9%†–
AIME 2026MathArena91.7%–
HMMT February 2026MathArena86.4%–
MathArena ApexMathArena23.4%69.8%†
Omni-MATH (HELM)HELM Capabilities55.6%–
MATH 500Vals AI96.4%†–
Arena MathsArena (LMArena)1477–
Knowledge
SimpleQA VerifiedEpoch AI Benchmarking Hub–46.3%†
MMLU-ProVals AI90.1%–
LegalBenchVals AI87.0%†–
CorpFinVals AI63.7%†–
TaxEvalVals AI72.6%†–
MedQAVals AI96.0%†–
PRBench FinanceScale AI SEAL39.2%–
PRBench LegalScale AI SEAL40.6%–
MultiNRCScale AI SEAL59.0%62.3%
MMLU-Pro (HELM)HELM Capabilities90.3%–
CaseLaw v2Vals AI53.1%†–
MedCodeVals AI52.2%†–
MedScribeVals AI72.0%†–
Global-MMLU-Lite (AA)Artificial Analysis92.2%†–
Instruction following
IFBenchArtificial Analysis70.4%†–
MultiChallengeScale AI SEAL65.7%69.2%
TutorBenchScale AI SEAL53.7%56.6%
IFEval (HELM)HELM Capabilities87.6%–
WildBench (HELM)HELM Capabilities85.9%–
Arena Instruction FollowingArena (LMArena)1472–
Human preference
Arena TextArena (LMArena)1485–
Arena Creative WritingArena (LMArena)1485–
Arena Multi-turnArena (LMArena)1496–
Arena Longer QueriesArena (LMArena)1490–
Multimodal
Arena VisionArena (LMArena)1305–
MMMU-ProArtificial Analysis80.2%†–
VISTAScale AI SEAL51.5%53.9%
MMMU-Pro (official)MMMU81.0%–
MMMU-Pro (Vals)Vals AI87.5%†–
MortgageTaxVals AI69.1%†–
AudioMCScale AI SEAL54.6%†–
AudioMC (text output)Scale AI SEAL54.6%†–
VTBScale AI SEAL26.9%–
GeoBenchGeoBench84.0%–
VPCTEpoch AI Benchmarking Hub91.0%–
Long context
AA-LCR v1.1Artificial Analysis76.0%†–
Arena DocumentArena (LMArena)1451–
Composite
Epoch Capabilities IndexEpoch AI Benchmarking Hub153.1159.6
AA Intelligence Index v4.3.2Artificial Analysis28.0†–
AA Progress Index v1Artificial Analysis290.7†–
HELM Capabilities meanHELM Capabilities79.9%–
Safety & honesty
FORTRESSScale AI SEAL41.7%14.8%
MASKScale AI SEAL42.6%91.7%
PropensityBenchScale AI SEAL52.9%–
Metadata
AA Openness IndexArtificial Analysis5.6†–

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

What changed

  • GPT-5.4 Pro: BenchLeader Index 63.6 → 63.1.
  • Gemini 3 Pro: 1 score revision.
  • GPT-5.4 Pro: 1 score revision.
  • Gemini 3 Pro: 1 score revision.
  • Gemini 3 Pro: BenchLeader Index 60.9 → 60.4.
  • Gemini 3 Pro: 1 new result (PRBench Legal).
  • Gemini 3 Pro: BenchLeader Index 60.4 → 60.9.
  • Gemini 3 Pro: 1 new result (VTB).
  • GPT-5.4 Pro: BenchLeader Index 62.1 → 63.6.
  • Gemini 3 Pro: 2 new results (PRBench Legal, MultiNRC).

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

Gemini 3 Pro vs GPT-5.4 Pro: questions

Is Gemini 3 Pro better than GPT-5.4 Pro?
Gemini 3 Pro and GPT-5.4 Pro are neck and neck on quality (60.2 vs 63.1, within the ±5.0 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.
Do independent benchmarks agree on Gemini 3 Pro vs GPT-5.4 Pro?
Across the 9 benchmarks both have, Gemini 3 Pro leads 2, GPT-5.4 Pro leads 7.
When was GPT-5.4 Pro released?
GPT-5.4 Pro was released on 4 Mar 2026.