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GPT-5.4 vs GPT-6.1 Terra

Full profiles: GPT-5.4 (OpenAI) and GPT-6.1 Terra (OpenAI): every benchmark, price and rank.

Updated · Data from 10 sources

As of 27 Oct 2026, GPT-5.4 (xhigh) and GPT-6.1 Terra (max) are neck and neck on quality (64.6 vs 65.9 on the BenchLeader Index, inside the ±7.5 margin of error), and GPT-6.1 Terra (max) costs 2.8× less, which makes it the better buy for most workloads. GPT-6.1 Terra leads in every category we measure both in.

GPT-5.4 benchmarks xhigh OpenAI GPT-6.1 Terra benchmarks max 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-6.1 Terra86 vs 69 category score; CritPt 28.0% vs 23.4%High
KnowledgeGPT-6.1 Terra75 vs 60 category score; AA-Omniscience 29.8 vs 5.8High
Long documentsEither66 vs 66 category score; AA-LCR 82.0% vs 82.7%Either
Images and other mediaGPT-6.1 Terra68 vs 61 category score; MMMU-Pro 84.7% vs 78.4%Medium
Lowest costGPT-6.1 Terra$2.00 vs $5.63 per 1M blended; agentic coding session $0.080 vs $0.210–
Fastest first answerEither148.3 s (GPT-5.4 (xhigh)) vs 131.8 s (GPT-6.1 Terra (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

  • GPT-5.4 (xhigh) and GPT-6.1 Terra (max) are neck and neck on quality (64.6 vs 65.9, within the ±7.5 margin).
  • GPT-5.4 (xhigh) is stronger in agents & tools, coding, instruction following, maths.
  • GPT-6.1 Terra (max) is stronger in composite, knowledge, long context, multimodal, reasoning.
  • GPT-6.1 Terra (max) is 2.8× cheaper ($2.00 vs $5.63 per 1M blended).

At a glance

SpecGPT-5.4GPT-6.1 Terra
DeveloperOpenAIOpenAI
Released5 Mar 202626 Oct 2026
Context window (tokens)1,050,0001,050,000
Compared atGPT-5.4 (xhigh)GPT-6.1 Terra (max)
Open weightsNoNo
Price in / out / cached input per 1M$2.50 / $15.00 / $0.250$1.00 / $5.00 / $0.050

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.

CategoryGPT-5.4 (xhigh)GPT-6.1 Terra (max)Leader
Reasoning68.986.2GPT-6.1 Terra
Coding64.6–not comparable
Agents & tools63.6–not comparable
Maths65.2–not comparable
Knowledge59.774.5GPT-6.1 Terra
Instruction following72.3–not comparable
Multimodal61.167.5GPT-6.1 Terra
Long context65.966.3level
Composite72.682.8GPT-6.1 Terra

Where sources disagree

Across the 7 benchmarks both have, GPT-5.4 leads 1, GPT-6.1 Terra leads 6. Every overall index that rates both puts GPT-6.1 Terra ahead.

Overall indexGPT-5.4 (xhigh)GPT-6.1 Terra (max)Leader
BenchLeader Index64.665.9neck and neck
AA Intelligence Index v4.3.239.048.1GPT-6.1 Terra

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.

MeasureGPT-5.4 (xhigh)GPT-6.1 Terra (max)
Blended price per 1M tokens$5.63$2.00
Input / output per 1M$2.50 / $15.00$1.00 / $5.00
Cached input per 1M$0.250$0.050
Price per task: chat reply$0.0055$0.0019
Price per task: summarize a 30-page report$0.039$0.015
Price per task: code edit$0.037$0.013
Price per task: agentic coding session$0.210$0.080
Price per task: structured extraction$0.0080$0.0030
Cost to run a full benchmark suite–$0.403
Output speed117 tok/s91 tok/s
Time to first answer148.3 s131.8 s
Time to a complete answer152.6 s137.3 s

Each model is compared at its best-ranked reasoning-effort setting. GPT-5.4 (xhigh) scores 64.6 and takes 148 s to its first answer token; GPT-5.4 (low) scores 59.6 in 2 s, GPT-5.4 (high) scores 58.9 in 1 s. GPT-6.1 Terra (max) scores 65.9 and takes 132 s to its first answer token; GPT-6.1 Terra (xhigh) scores 65.0 in 18 s, GPT-6.1 Terra (high) scores 64.7 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

128 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.

MetricPublisherGPT-5.4 (xhigh)GPT-6.1 Terra (max)
BenchLeader IndexBenchLeader64.665.9
Agents & tools scoreBenchLeader63.6–
Coding scoreBenchLeader64.6–
Composite scoreBenchLeader72.682.8
Instruction following scoreBenchLeader72.3–
Knowledge scoreBenchLeader59.774.5
Long context scoreBenchLeader65.966.3
Maths scoreBenchLeader65.2–
Multimodal scoreBenchLeader61.167.5
Reasoning scoreBenchLeader68.986.2
Blended price $/MBenchLeader$5.63$2.00
Output speedBenchLeader117 tok/s91 tok/s
Time to first answerBenchLeader148.3 s131.8 s
Context windowBenchLeader1,050,000 tokens1,050,000 tokens
Reasoning
GPQA DiamondEpoch AI Benchmarking Hub93.3%–
Humanity's Last ExamScale AI / CAIS36.2%–
Arena Hard PromptsArena (LMArena)1487†–
LiveBench 2.0 ReasoningLiveBench–88.7%†
LiveBench 1.0 ReasoningLiveBench88.1%–
GPQA Diamond (AA)Artificial Analysis92.0%–
Humanity's Last Exam (AA)Artificial Analysis43.7%46.3%
GPQA Diamond (Vals)Vals AI91.7%–
Kagi LLM BenchmarkKagi LLM Benchmark63.8%†–
ARC-AGI-1ARC Prize93.7%–
ARC-AGI-2ARC Prize74.0%–
ARC-AGI-3ARC Prize0.2%†–
CritPtArtificial Analysis23.4%28.0%
Chess PuzzlesEpoch AI Benchmarking Hub48.0%–
Mystery Game PuzzlesEpoch AI Benchmarking Hub37.0%–
CL-benchEpoch AI Benchmarking Hub27.9%–
CL-bench LifeEpoch AI Benchmarking Hub21.7%–
LMCAEpoch AI Benchmarking Hub52.0%–
DTBenchEpoch AI Benchmarking Hub94.4%–
ForecastBenchForecastBench63.1%†–
Coding
SWE-bench Verified (Epoch)Epoch AI Benchmarking Hub76.9%†–
SciCodeSciCode56.6%–
WeirdMLWeirdML77.7%–
GSO-BenchGSO-Bench31.4%–
Arena CodingArena (LMArena)1511†–
Show all 128 benchmarks
MetricPublisherGPT-5.4 (xhigh)GPT-6.1 Terra (max)
Coding
Arena WebDevArena (LMArena)1401†–
LiveBench 2.0 CodingLiveBench–90.8%†
LiveBench 1.0 CodingLiveBench77.5%–
SciCode (AA)Artificial Analysis–55.1%
LiveCodeBenchVals AI84.1%–
SWE-bench (Vals)Vals AI78.2%–
SWE-Bench ProScale AI SEAL59.1%–
Code MigrationVals AI35.0%–
ProgramBenchVals AI0.0%–
Vibe Code Bench v1.1Vals AI67.4%–
SWE-Bench Pro (private)Scale AI SEAL59.1%–
SWE Atlas: Codebase QnAScale AI SEAL40.8%–
SWE Atlas: RefactoringScale AI SEAL44.3%–
SWE Atlas: Test WritingScale AI SEAL44.4%–
MirrorCodeEpoch AI Benchmarking Hub15.6%†–
DeepSWE v1.1Epoch AI Benchmarking Hub51.8%–
ALE-BenchEpoch AI Benchmarking Hub1607†–
AlgoTuneAlgoTune1.9†–
Terminal-Bench 4.0 (AA)Artificial Analysis–55.6%
Terminal-Bench 2.1 (AA)Artificial Analysis78.3%–
FrontierCode 1.1 (AA)Artificial Analysis–36.0%
Agents & tools
Terminal-BenchTerminal-Bench81.8%†–
APEX-AgentsMercor52.4%†–
LiveBench Long AgenticLiveBench–48.6%†
LiveBench BrowserLiveBench–93.1%†
LiveBench Agentic CodingLiveBench53.8%–
Terminal-Bench HardArtificial Analysis57.6%–
τ²-Bench Telecom (AA)Artificial Analysis87.1%–
MCP AtlasScale AI SEAL70.6%–
HiL-BenchScale AI SEAL9.7%†–
τ³-bench Bankingτ²-bench39.4%–
τ³-Banking (AA)Artificial Analysis39.6%–
APEX-Agents (AA)Artificial Analysis33.3%–
Harvey's Legal Agent Benchmark v1Vals AI0.0%–
SkillsBenchVals AI51.7%–
Terminal-Bench 2.0 (Vals)Vals AI58.4%†–
DeepResearch BenchDeepResearch Bench35.1%†–
PostTrainBenchEpoch AI Benchmarking Hub19.0%†–
METR Time HorizonsMETR74.3%–
GBAEvalEpoch AI Benchmarking Hub45.1%†–
Vending-Bench 2Andon Labs6144.2†–
AutomationBenchArtificial Analysis–60.2%
GDP.pdf (AA)Artificial Analysis–28.6%
AA-Briefcase v1.1Artificial Analysis–1402
Terminal-Bench-Science 0.1 (AA)Artificial Analysis–57.6%
DeepSearchQAGoogle63.7%†–
Maths
FrontierMath Tiers 1–3Epoch AI Benchmarking Hub78.6%–
FrontierMath Tier 4Epoch AI Benchmarking Hub49.0%–
OTIS Mock AIMEEpoch AI Benchmarking Hub95.3%–
ProofBenchVals AI56.0%–
LiveBench MathematicsLiveBench94.2%–
AIME (Vals)Vals AI96.7%–
AIME 2026MathArena99.2%–
HMMT February 2026MathArena97.7%–
USAMO 2026MathArena95.2%–
MathArena ApexMathArena54.2%–
Arena MathsArena (LMArena)1460†–
Knowledge
SimpleQA VerifiedEpoch AI Benchmarking Hub45.1%–
LiveBench 2.0 Data AnalysisLiveBench–82.3%†
LiveBench ResearchLiveBench–73.9%†
LiveBench 1.0 Data AnalysisLiveBench79.3%–
AA-OmniscienceArtificial Analysis5.829.8
MMLU-ProVals AI87.5%–
LegalBenchVals AI86.0%–
CorpFinVals AI65.3%–
TaxEvalVals AI74.0%–
MedQAVals AI96.1%–
PRBench FinanceScale AI SEAL45.6%†–
PRBench LegalScale AI SEAL44.4%†–
MultiNRCScale AI SEAL58.3%†–
CaseLaw v2Vals AI63.8%–
MedCodeVals AI41.3%–
MedScribeVals AI77.5%–
EBR-benchEpoch AI Benchmarking Hub25.4%–
AA-Omniscience: accuracyArtificial Analysis50.9%49.1%
AA-Omniscience: non-hallucinationArtificial Analysis8.3%62.0%
Instruction following
LiveBench LanguageLiveBench82.6%–
LiveBench Instruction FollowingLiveBench70.2%–
IFBenchArtificial Analysis74.0%–
Arena Instruction FollowingArena (LMArena)1460†–
Human preference
Arena TextArena (LMArena)1465†–
EQ-Bench 4EQ-Bench1260†–
Arena Creative WritingArena (LMArena)1435†–
Arena Multi-turnArena (LMArena)1480†–
Arena Longer QueriesArena (LMArena)1477†–
Multimodal
Arena VisionArena (LMArena)1292†–
LiveBench DesignLiveBench–82.3%†
MMMU-ProArtificial Analysis78.4%84.7%
VISTAScale AI SEAL50.9%†–
MMMU-Pro (Vals)Vals AI87.5%–
MortgageTaxVals AI68.3%–
SAGEVals AI43.3%–
VTBScale AI SEAL29.2%†–
Blueprint-Bench 2Epoch AI Benchmarking Hub27.1%†–
Long context
AA-LCRArtificial Analysis82.0%82.7%
Arena DocumentArena (LMArena)1470†–
Composite
Epoch Capabilities IndexEpoch AI Benchmarking Hub157.3†–
LiveBench 2.0LiveBench–77.2%†
LiveBench 1.0LiveBench78.0%–
AA Intelligence Index v4.3.2Artificial Analysis39.048.1
Vals RSI IndexVals AI15.5%–
Safety & honesty
FORTRESSScale AI SEAL–18.2%†
MASKScale AI SEAL89.7%†–

Data as of 2026-10-27. Best configuration of each model; every score links to its source on the model pages.

What changed

  • GPT-5.4 (xhigh): 2 new results (Harvey's Legal Agent Benchmark v1, Vals RSI Index).
  • GPT-5.4 (xhigh): 2 new results (USAMO 2026, τ³-bench Banking).
  • GPT-5.4 (xhigh): 1 score revision.
  • GPT-5.4 (xhigh): 1 new result (SWE Atlas: Codebase QnA).
  • GPT-5.4 (xhigh): 1 score revision.
  • GPT-5.4 (xhigh): BenchLeader Index 64.9 → 64.4.
  • GPT-5.4 (xhigh): 1 new result (SWE Atlas: Test Writing).
  • GPT-5.4 (xhigh): 1 new result (SWE Atlas: Codebase QnA).
  • GPT-5.4 (xhigh): BenchLeader Index 65.9 → 64.9.
  • GPT-5.4 (xhigh): 1 new result (MCP Atlas).

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

GPT-5.4 vs GPT-6.1 Terra: questions

Is GPT-5.4 better than GPT-6.1 Terra?
GPT-5.4 (xhigh) and GPT-6.1 Terra (max) are neck and neck on quality (64.6 vs 65.9, within the ±7.5 margin). The BenchLeader Index combines every independent quality benchmark; the two are within the margin of error as of 2026-10-27, so check the category scores for your use.
Which is cheaper, GPT-5.4 or GPT-6.1 Terra, and will that change?
GPT-6.1 Terra is cheaper today: $2.00 against $5.63 per million tokens, blended at three input tokens per output token. No price change has been announced for either.
Which is better for long documents?
They are level on long-context benchmarks (66 vs 66). Both accept 1,050,000 tokens of context.
Which has lower latency?
GPT-6.1 Terra (max) answers first: 131.8 s against 148.3 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, GPT-5.4 or GPT-6.1 Terra?
GPT-5.4 streams faster: 117 against 91 output tokens per second.
Do independent benchmarks agree on GPT-5.4 vs GPT-6.1 Terra?
Across the 7 benchmarks both have, GPT-5.4 leads 1, GPT-6.1 Terra leads 6. Every overall index that rates both puts GPT-6.1 Terra ahead.
When was GPT-6.1 Terra released?
GPT-6.1 Terra was released on 26 Oct 2026.