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Gemini 4 Argon vs GPT-6.1 Terra

Full profiles: Gemini 4 Argon (Google) and GPT-6.1 Terra (OpenAI): every benchmark, price and rank.

Updated · Data from 8 sources

As of 27 Oct 2026, Gemini 4 Argon (high) and GPT-6.1 Terra (max) are neck and neck on quality (69.3 vs 65.9 on the BenchLeader Index, inside the ±7.8 margin of error), and GPT-6.1 Terra (max) costs 2.0× less, which makes it the better buy for most workloads. Gemini 4 Argon (high)'s current price runs until 30 Nov 2026; from 1 Dec 2026 GPT-6.1 Terra (max) costs 4.0× less ($2.00 vs $8.00 per 1M blended); on use case, pick Gemini 4 Argon for knowledge (76 vs 75), GPT-6.1 Terra for reasoning (86 vs 75).

Gemini 4 Argon benchmarks high Google 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 75 category score; CritPt 28.0% vs 27.1%High
KnowledgeGemini 4 Argon76 vs 75 category score; AA-Omniscience 42.4 vs 29.8Medium
Long documentsGPT-6.1 Terra66 vs 65 category score; AA-LCR 82.7% vs 79.7%Medium
Chat quality (human preference)–Only Gemini 4 Argon has an Arena rating (72 category score)Not comparable
Lowest costGPT-6.1 Terra$2.00 vs $4.00 per 1M blended; agentic coding session $0.080 vs $0.160; from 1 Dec 2026: $2.00 vs $8.00–
Fastest first answerGemini 4 Argon48.2 s (Gemini 4 Argon (high)) 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

  • Gemini 4 Argon (high) and GPT-6.1 Terra (max) are neck and neck on quality (69.3 vs 65.9, within the ±7.8 margin).
  • Gemini 4 Argon (high) is stronger in agents & tools, coding, composite, human preference, knowledge, maths.
  • GPT-6.1 Terra (max) is stronger in long context, reasoning, multimodal.
  • GPT-6.1 Terra (max) is 2.0× cheaper ($2.00 vs $4.00 per 1M blended) until 30 Nov 2026, then $2.00 vs $8.00 from 1 Dec 2026.

At a glance

SpecGemini 4 ArgonGPT-6.1 Terra
DeveloperGoogleOpenAI
Released30 Sept 202626 Oct 2026
Generally available13 Oct 202626 Oct 2026
Context window (tokens)1,048,5761,050,000
Max output (tokens)65,536 (up to 1,048,576 with long decode)–
Input typestext, image, video, audio, PDF–
Reasoning effort settingslow, medium, high–
Compared atGemini 4 Argon (high)GPT-6.1 Terra (max)
Open weightsNoNo
Price in / out / cached input per 1M$2.00 / $10.00 / $0.100$1.00 / $5.00 / $0.050
Announced price change$4.00 / $20.00 / $0.200 from 1 Dec 2026None announced
API model IDgemini-4-argon–
Where to use itGemini API (AI Studio), Gemini Enterprise Agent Platform, Gemini app–

Limits, availability and announced prices from the vendors' own pages: ai.google.dev, ai.google.dev pricing (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.

CategoryGemini 4 Argon (high)GPT-6.1 Terra (max)Leader
Reasoning74.686.2GPT-6.1 Terra
Coding71.7–not comparable
Agents & tools58.5–not comparable
Maths70.5–not comparable
Knowledge76.474.5Gemini 4 Argon
Human preference71.7–not comparable
Multimodal–67.5not comparable
Long context64.766.3GPT-6.1 Terra
Composite87.782.8Gemini 4 Argon

Where sources disagree

Across the 13 benchmarks both have, Gemini 4 Argon leads 9, GPT-6.1 Terra leads 4. Every overall index that rates both puts Gemini 4 Argon ahead.

Overall indexGemini 4 Argon (high)GPT-6.1 Terra (max)Leader
BenchLeader Index69.365.9neck and neck
AA Intelligence Index v4.3.252.648.1Gemini 4 Argon

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 4 Argon (high)GPT-6.1 Terra (max)
Blended price per 1M tokens, until 30 Nov 2026$4.00$2.00
Input / output per 1M$2.00 / $10.00$1.00 / $5.00
Blended price per 1M from 1 Dec 2026$8.00$2.00
Input / output per 1M from 1 Dec 2026$4.00 / $20.00$1.00 / $5.00
Cached input per 1M$0.100$0.050
Price per task: chat reply$0.0038$0.0019
Price per task: summarize a 30-page report$0.030$0.015
Price per task: code edit$0.027$0.013
Price per task: agentic coding session$0.160$0.080
Price per task: structured extraction$0.0060$0.0030
Cost to run a full benchmark suite$1.62$0.403
Output speed80 tok/s91 tok/s
Time to first answer48.2 s131.8 s
Time to a complete answer54.5 s137.3 s

Per token is not per task: on Artificial Analysis' full suite Gemini 4 Argon (high) cost $1.62 and GPT-6.1 Terra (max) $0.403, because Gemini 4 Argon (high) used about 2.0× as many tokens for the same work, which a per-token price hides.

Each model is compared at its best-ranked reasoning-effort setting. Gemini 4 Argon (high) scores 69.3 and takes 48 s to its first answer token; Gemini 4 Argon scores 63.1 in 5 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

108 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 4 Argon (high)GPT-6.1 Terra (max)
BenchLeader IndexBenchLeader69.365.9
Agents & tools scoreBenchLeader58.5–
Coding scoreBenchLeader71.7–
Composite scoreBenchLeader87.782.8
Human preference scoreBenchLeader71.7–
Knowledge scoreBenchLeader76.474.5
Long context scoreBenchLeader64.766.3
Maths scoreBenchLeader70.5–
Reasoning scoreBenchLeader74.686.2
Multimodal scoreBenchLeader–67.5
Blended price $/MBenchLeader$4.00$2.00
Output speedBenchLeader80 tok/s91 tok/s
Time to first answerBenchLeader48.2 s131.8 s
Context windowBenchLeader1,048,576 tokens1,050,000 tokens
Reasoning
GPQA DiamondEpoch AI Benchmarking Hub96.4%–
Arena Hard PromptsArena (LMArena)1540–
LiveBench 2.0 ReasoningLiveBench95.1%†88.7%†
Humanity's Last Exam (AA)Artificial Analysis57.1%46.3%
ARC-AGI-1ARC Prize98.5%–
ARC-AGI-2ARC Prize91.3%–
ARC-AGI-3ARC Prize97.3%–
CritPtArtificial Analysis27.1%28.0%
MysteryMechanismVals AI45.5%–
Chess PuzzlesEpoch AI Benchmarking Hub59.0%–
Mystery Game PuzzlesEpoch AI Benchmarking Hub64.0%–
LMCAEpoch AI Benchmarking Hub63.7%–
DTBenchEpoch AI Benchmarking Hub97.3%–
Coding
SciCodeSciCode61.8%–
FrontierCodeCognition47.5%†–
Arena CodingArena (LMArena)1552–
Arena WebDevArena (LMArena)1674–
LiveBench 2.0 CodingLiveBench89.7%†90.8%†
SciCode (AA)Artificial Analysis61.8%55.1%
IOIVals AI100.0%–
Code MigrationVals AI68.2%–
Code Migration v1.1Vals AI70.8%–
ProgramBenchVals AI2.5%–
SWE-bench MultimodalVals AI56.0%–
Vibe Code Bench 1-100Vals AI21.2%–
Show all 108 benchmarks
MetricPublisherGemini 4 Argon (high)GPT-6.1 Terra (max)
Coding
Vibe Code Bench v1.1Vals AI91.9%–
MirrorCodeEpoch AI Benchmarking Hub58.9%–
CursorBenchCursor52.9%–
ALE-BenchEpoch AI Benchmarking Hub2100.1–
FrontierSWEEpoch AI Benchmarking Hub55.0%–
Terminal-Bench 4.0 (AA)Artificial Analysis57.1%55.6%
FrontierCode 1.1 (AA)Artificial Analysis43.5%36.0%
Agents & tools
APEX-AgentsMercor82.4%†–
Arena AgentArena (LMArena)11.7–
LiveBench Long AgenticLiveBench61.2%†48.6%†
LiveBench BrowserLiveBench82.8%†93.1%†
Terminal-Bench 2.1 (Vals)Vals AI57.7%–
HiL-BenchScale AI SEAL62.0%†–
GDPval-AA v2.1Artificial Analysis56.2%–
Analyst Agent (AA)Artificial Analysis48.8%–
CUA-benchVals AI4.8%–
CyberBenchVals AI77.9%–
Finance Agent v2Vals AI65.4%–
Finance Agent v2.1Vals AI67.7%–
Harvey's Legal Agent Benchmark v1.1Vals AI27.1%–
Harvey's Legal Agent Benchmark v1Vals AI19.6%–
Legal Research BenchVals AI54.8%–
Robo-benchVals AI0.8%–
SREBenchVals AI44.3%–
Tax Agent BenchVals AI44.6%–
Terminal-Bench 4.0 (Vals)Vals AI57.6%–
Terminal-Bench ScienceVals AI44.3%–
Time Horizon Index: KSPVals AI52.5%–
Vending-Bench 2Andon Labs13718.2†–
AutomationBenchArtificial Analysis77.5%60.2%
GDP.pdf (AA)Artificial Analysis21.8%28.6%
Harvey LAB-AA v1.1Harvey3.9%–
AA-Briefcase v1.1Artificial Analysis14831402
Terminal-Bench-Science 0.1 (AA)Artificial Analysis52.9%57.6%
FACTS SearchGoogle84.0%†–
Maths
FrontierMath Tiers 1–3Epoch AI Benchmarking Hub86.0%–
FrontierMath Tier 4Epoch AI Benchmarking Hub78.0%–
OTIS Mock AIMEEpoch AI Benchmarking Hub100.0%–
ProofBenchVals AI99.0%†–
Arena MathsArena (LMArena)1532–
Knowledge
SimpleQA VerifiedEpoch AI Benchmarking Hub76.0%–
LiveBench 2.0 Data AnalysisLiveBench85.2%†82.3%†
LiveBench ResearchLiveBench83.1%†73.9%†
AA-OmniscienceArtificial Analysis42.429.8
LegalBenchVals AI88.3%–
PRBench FinanceScale AI SEAL49.9%†–
PRBench LegalScale AI SEAL49.4%†–
BioMysteryBenchVals AI76.3%–
Excel Modeling BenchmarkVals AI75.2%–
Excel Modeling Benchmark v1.1Vals AI74.8%–
MedCodeVals AI58.8%–
MedScribeVals AI87.4%–
Public Benefits Bench v1.1Vals AI69.8%–
DrugDiscoveryBenchScale AI SEAL65.4%–
EBR-benchEpoch AI Benchmarking Hub64.8%–
GDP.pdfEpoch AI Benchmarking Hub28.4%–
AA-Omniscience: accuracyArtificial Analysis49.9%49.1%
AA-Omniscience: non-hallucinationArtificial Analysis84.9%62.0%
Instruction following
MultiChallengeScale AI SEAL78.7%†–
Arena Instruction FollowingArena (LMArena)1519–
Human preference
Arena TextArena (LMArena)1517–
EQ-Bench 4EQ-Bench1240†–
Arena Creative WritingArena (LMArena)1512–
Arena Multi-turnArena (LMArena)1544–
Arena Longer QueriesArena (LMArena)1535–
Multimodal
LiveBench DesignLiveBench73.7%†82.3%†
MMMU-ProArtificial Analysis–84.7%
SAGEVals AI53.6%–
AudioMCScale AI SEAL58.4%–
AudioMC (text output)Scale AI SEAL58.4%–
Blueprint-Bench 2Epoch AI Benchmarking Hub54.5%†–
AA-3DArtificial Analysis1153–
Long context
AA-LCRArtificial Analysis79.7%82.7%
MLCRArtificial Analysis13.9%–
Composite
Epoch Capabilities IndexEpoch AI Benchmarking Hub166.4†–
LiveBench 2.0LiveBench79.3%†77.2%†
AA Intelligence Index v4.3.2Artificial Analysis52.648.1
Vals IndexVals AI69.2–
Vals Finance IndexVals AI64.9%–
Vals RSI IndexVals AI30.6%–
Vals Science IndexVals AI55.4%–
Vals Router IndexVals AI69.2%†–
Safety & honesty
FORTRESSScale AI SEAL–18.2%†

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

What changed

  • Gemini 4 Argon: list price moves to $4.00 / $20.00 per 1M input / output tokens (announced).
  • Gemini 4 Argon (high): BenchLeader Index 71.1 → 69.3.
  • Gemini 4 Argon (high): 1 new result (Terminal-Bench 2.1 (Vals)).
  • Gemini 4 Argon (high): cost per task moved from $1.99/M to $1.62/M (19% down).
  • Gemini 4 Argon (high): 10 new results (Code Migration v1.1, Excel Modeling Benchmark v1.1, Finance Agent v2.1…); 7 score revisions.
  • Gemini 4 Argon (high): 2 new results (MirrorCode, MLCR).
  • Gemini 4 Argon (high): 1 new result (Harvey LAB-AA v1.1); 2 score revisions.
  • Gemini 4 Argon (high): 3 new results (LMCA, DTBench, ALE-Bench).
  • Gemini 4 Argon (high): 5 new results (Analyst Agent (AA), FrontierCode 1.1 (AA), Terminal-Bench-Science 0.1 (AA)…); 1 score revision.
  • Gemini 4 Argon (high): 6 new results (EBR-bench, Time Horizon Index: KSP, Vibe Code Bench 1-100…); 1 score revision.

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

Gemini 4 Argon vs GPT-6.1 Terra: questions

Is Gemini 4 Argon better than GPT-6.1 Terra?
Gemini 4 Argon (high) and GPT-6.1 Terra (max) are neck and neck on quality (69.3 vs 65.9, within the ±7.8 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, Gemini 4 Argon or GPT-6.1 Terra, and will that change?
GPT-6.1 Terra is cheaper today: $2.00 against $4.00 per million tokens, blended at three input tokens per output token. Yes, that changes: Gemini 4 Argon's list price changes on 1 Dec 2026, and from then GPT-6.1 Terra is cheaper ($2.00 vs $8.00 blended).
Which is better for long documents?
GPT-6.1 Terra scores higher on long-context benchmarks (66 vs 65). Both take about 1.1M tokens: Gemini 4 Argon 1,048,576, GPT-6.1 Terra 1,050,000.
Which has lower latency?
Gemini 4 Argon (high) answers first: 48.2 s against 131.8 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, Gemini 4 Argon or GPT-6.1 Terra?
GPT-6.1 Terra streams faster: 91 against 80 output tokens per second.
Do independent benchmarks agree on Gemini 4 Argon vs GPT-6.1 Terra?
Across the 13 benchmarks both have, Gemini 4 Argon leads 9, GPT-6.1 Terra leads 4. Every overall index that rates both puts Gemini 4 Argon ahead.
When was GPT-6.1 Terra released?
GPT-6.1 Terra was released on 26 Oct 2026.