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GPT-6 Astra vs o3

Full profiles: GPT-6 Astra (OpenAI) and o3 (OpenAI): every benchmark, price and rank.

Updated · Data from 17 sources

As of 29 Oct 2026, GPT-6 Astra is ahead of o3 on quality (68.2 vs 61.0 on the BenchLeader Index), but o3 is 5.7× cheaper at $3.50 vs $20.00 per 1M tokens blended. GPT-6 Astra leads in every category we measure both in. o3 streams 3×+ faster.

Key facts (as of 29 Oct 2026)

  • GPT-6 Astra scores 68.2 on the BenchLeader Index and o3 scores 61.0 (BenchLeader, 29 Oct 2026).
  • GPT-6 Astra costs $20.00 per 1M tokens blended (list price, 29 Oct 2026).
  • o3 costs $3.50 per 1M tokens blended (list price, 29 Oct 2026).
  • o3 streams 3×+ faster than GPT-6 Astra (Artificial Analysis, 7-day median, 29 Oct 2026).
  • Of the 3 benchmarks both models have, o3 leads 2 (BenchLeader, 29 Oct 2026).
GPT-6 Astra benchmarks OpenAI o3 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
CodingGPT-6 Astra83 vs 62 category scoreHigh
Agents & tool useEither70 vs 70 category scoreEither
MathsGPT-6 Astra78 vs 71 category scoreMedium
ReasoningGPT-6 Astra86 vs 61 category scoreHigh
KnowledgeEither56 vs 56 category score; PRBench Finance 47.5% vs 47.7%Either
Chat quality (human preference)–Only o3 has an Arena rating (61 category score)Not comparable
Lowest costo3$3.50 vs $20.00 per 1M blended; agentic coding session $0.152 vs $0.800–
Fastest first answerGPT-6 Astra3.0 s (GPT-6 Astra) vs 5.9 s (o3) 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-6 Astra leads on quality: 68.2 vs 61.0.
  • GPT-6 Astra is stronger in coding, composite, maths, reasoning.
  • o3 is stronger in agents & tools, knowledge, human preference, instruction following, long context, multimodal.
  • o3 is 5.7× cheaper ($3.50 vs $20.00 per 1M blended).
  • o3 streams 3.9× faster (158 vs 40 tokens per second).

At a glance

SpecGPT-6 Astrao3
DeveloperOpenAIOpenAI
Released2 Sept 202616 Apr 2025
Context window (tokens)1,050,000200,000
Compared atGPT-6 Astrao3
Open weightsNoNo
Price in / out / cached input per 1M$10.00 / $50.00 / $1.00$2.00 / $8.00 / $0.500

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-6 Astrao3Leader
Reasoning85.660.9GPT-6 Astra
Coding83.261.8GPT-6 Astra
Agents & tools69.670.3level
Maths77.570.6GPT-6 Astra
Knowledge55.756.1level
Instruction following–65.1not comparable
Human preference–61.2not comparable
Multimodal–56.7not comparable
Long context–62.1not comparable
Composite73.7–not comparable

Where sources disagree

Across the 3 benchmarks both have, GPT-6 Astra leads 1, o3 leads 2. Every overall index that rates both puts GPT-6 Astra ahead.

Overall indexGPT-6 Astrao3Leader
BenchLeader Index68.261.0GPT-6 Astra
Arena Text1477†1432GPT-6 Astra

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-6 Astrao3
Blended price per 1M tokens$20.00$3.50
Input / output per 1M$10.00 / $50.00$2.00 / $8.00
Cached input per 1M$1.00$0.500
Price per task: chat reply$0.019$0.0032
Price per task: summarize a 30-page report$0.150$0.029
Price per task: code edit$0.135$0.024
Price per task: agentic coding session$0.800$0.152
Price per task: structured extraction$0.030$0.0056
Output speed40 tok/s158 tok/s
Time to first answer3.0 s5.9 s
Time to a complete answer–9.1 s

Each model is compared at its best-ranked reasoning-effort setting. GPT-6 Astra scores 68.2 and takes 3 s to its first answer token; GPT-6 Astra (max) scores 67.7 in 232 s, GPT-6 Astra (high) scores 66.8 in 33 s. o3 scores 61.0 and takes 6 s to its first answer token; o3 (high) scores 53.8 in 6 s, o3 (medium) scores 53.3 in 6 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

191 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-6 Astrao3
BenchLeader IndexBenchLeader68.261.0
Agents & tools scoreBenchLeader69.670.3
Coding scoreBenchLeader83.261.8
Composite scoreBenchLeader73.7–
Knowledge scoreBenchLeader55.756.1
Maths scoreBenchLeader77.570.6
Reasoning scoreBenchLeader85.660.9
Human preference scoreBenchLeader–61.2
Instruction following scoreBenchLeader–65.1
Long context scoreBenchLeader–62.1
Multimodal scoreBenchLeader–56.7
Blended price $/MBenchLeader$20.00$3.50
Output speedBenchLeader40 tok/s158 tok/s
Time to first answerBenchLeader3.0 s5.9 s
Context windowBenchLeader1,050,000 tokens200,000 tokens
Reasoning
GPQA DiamondEpoch AI Benchmarking Hub95.8%†81.8%†
Humanity's Last ExamScale AI / CAIS54.8%20.3%†
SimpleBenchSimpleBench–53.1%†
Arena Hard PromptsArena (LMArena)1501†1442
LiveBench 2.0 ReasoningLiveBench92.7%–
LiveBench 1.0 ReasoningLiveBench92.7%†–
GPQA Diamond (AA)Artificial Analysis96.1%†82.7%
Humanity's Last Exam (AA)Artificial Analysis54.7%†20.1%
HLE-Diamond (AA)Artificial Analysis63.8%†–
GPQA Diamond (Vals)Vals AI–84.1%†
Kagi LLM BenchmarkKagi LLM Benchmark–67.6%
GPQA Diamond (HELM)HELM Capabilities–75.3%
ARC-AGI-1ARC Prize97.5%†60.8%†
ARC-AGI-2ARC Prize95.0%†6.5%†
ARC-AGI-3ARC Prize98.6%†–
CritPtArtificial Analysis31.7%†1.1%
CritPt v2 hard subset (AA)Artificial Analysis70.5%†–
MysteryMechanismVals AI53.1%†–
SciPredictScale AI SEAL–17.9%
Chess PuzzlesEpoch AI Benchmarking Hub74.0%†36.0%†
Mystery Game PuzzlesEpoch AI Benchmarking Hub84.0%†29.0%†
CL-benchEpoch AI Benchmarking Hub–17.8%†
LMCAEpoch AI Benchmarking Hub64.1%39.7%†
DTBenchEpoch AI Benchmarking Hub97.1%84.8%†
ForecastBenchForecastBench–64.6%
Show all 191 benchmarks
MetricPublisherGPT-6 Astrao3
Reasoning
BTF-3Epoch AI Benchmarking Hub13.5%†–
Coding
SWE-bench Verified (Epoch)Epoch AI Benchmarking Hub–62.3%†
SciCodeSciCode56.5%†–
WeirdMLWeirdML93.3%†52.4%†
FrontierCodeCognition53.3%†–
GSO-BenchGSO-Bench79.4%8.8%†
Arena CodingArena (LMArena)1543†1460
Arena WebDevArena (LMArena)1774†–
LiveBench 2.0 CodingLiveBench93.7%–
LiveBench 1.0 CodingLiveBench80.4%†–
LiveCodeBenchVals AI–83.9%†
IOIVals AI100.0%†–
Aider PolyglotAider polyglot leaderboard–81.3%
SWE-bench Verified (bash only)SWE-bench–58.4%
SWE-bench Verified (any scaffold)SWE-bench–58.4%
Code MigrationVals AI67.7%†–
Code Migration v1.1Vals AI80.6%†–
ProgramBenchVals AI5.5%†–
SWE-bench MultimodalVals AI43.3%†–
Vibe Code Bench 1-100Vals AI27.6%†–
Vibe Code Bench v1.1Vals AI89.6%†–
SWE Atlas: Codebase QnAScale AI SEAL59.1%†–
SWE Atlas: RefactoringScale AI SEAL59.0%†–
SWE Atlas: Test WritingScale AI SEAL50.7%†–
MirrorCodeEpoch AI Benchmarking Hub46.7%†–
CadEvalEpoch AI Benchmarking Hub–74.0%†
DeepSWE v1.1Epoch AI Benchmarking Hub73.2%†–
ALE-BenchEpoch AI Benchmarking Hub2951.3†933.5†
FrontierSWEEpoch AI Benchmarking Hub65.5%†–
Terminal-Bench 4.0 (AA)Artificial Analysis59.1%†–
Terminal-Bench 2.1 (AA)Artificial Analysis88.4%†–
Startrise FrontendStartrise79.9%–
FrontierCode 1.1 (AA)Artificial Analysis47.0%†–
FrontierCode 2.0 (AA)Artificial Analysis42.4%†–
LiveCodeBench (AA)Artificial Analysis–80.8%
Agents & tools
Terminal-BenchTerminal-Bench58.2%†–
GDPvalOpenAI–30.8%†
Remote Labor IndexScale AI / CAIS20.8%–
APEX-AgentsMercor64.7%–
Arena AgentArena (LMArena)14†–
LiveBench Long AgenticLiveBench77.5%–
LiveBench BrowserLiveBench91.3%–
LiveBench Agentic CodingLiveBench57.3%†–
Terminal-Bench HardArtificial Analysis–37.1%
τ²-Bench Telecom (AA)Artificial Analysis–80.7%
Terminal-Bench 2.1 (Vals)Vals AI87.3%†–
HiL-BenchScale AI SEAL65.3%–
BFCL OverallBerkeley Function Calling Leaderboard–63.0%
GDPval-AA v2.1, normalised scoreArtificial Analysis53.7%†–
GDPval-AA v2.1Artificial Analysis1584†–
τ³-Banking (AA)Artificial Analysis41.4%†–
ITBench SRE (AA)Artificial Analysis48.6%†–
Analyst Agent (AA)Artificial Analysis51.3%†–
CUA-benchVals AI19.2%†–
CyberBenchVals AI41.1%†–
Finance Agent v2Vals AI53.5%†–
Finance Agent v2.1Vals AI60.4%†–
Harvey's Legal Agent Benchmark v1.1Vals AI7.1%†–
Harvey's Legal Agent Benchmark v1Vals AI5.4%†–
Legal Research BenchVals AI39.4%†–
Robo-benchVals AI23.3%†–
SREBenchVals AI56.9%†–
Tax Agent BenchVals AI20.7%†–
Terminal-Bench 4.0 (Vals)Vals AI59.6%†–
Terminal-Bench ScienceVals AI62.9%†–
Time Horizon Index: KSPVals AI90.5%†–
Arena SearchArena (LMArena)1246†–
BALROGBALROG68.3%†–
DeepResearch BenchDeepResearch Bench–45.2%†
METR Time HorizonsMETR–63.6%
Vending-Bench 2Andon Labs15514.7–
AutomationBenchArtificial Analysis68.5%†–
GDP.pdf (AA)Artificial Analysis31.0%†–
Harvey LAB-AA v1.1Harvey8.6%†–
AA-Briefcase v1.1Artificial Analysis1568†–
Terminal-Bench-Science 0.1 (AA)Artificial Analysis63.3%†–
CWE-Bench (AA)Artificial Analysis63.3%†–
DeepSec-Bench (AA)Artificial Analysis36.9%†–
CyberGym end-to-end (AA)Artificial Analysis0.0%†–
BrowseComp-PlusBrowseComp-Plus–50.5%
FACTS SearchGoogle89.9%–
Maths
FrontierMath Tiers 1–3Epoch AI Benchmarking Hub93.7%†33.3%†
FrontierMath Tier 4Epoch AI Benchmarking Hub97.6%†–
OTIS Mock AIMEEpoch AI Benchmarking Hub100.0%†83.9%†
MATH Level 5Epoch AI Benchmarking Hub–97.8%†
ProofBenchVals AI99.0%–
LiveBench MathematicsLiveBench96.8%†–
AIME (Vals)Vals AI–85.3%†
MGSMVals AI–91.8%†
IMO 2025MathArena–16.7%†
Omni-MATH (HELM)HELM Capabilities–71.4%
MATH 500Vals AI–94.6%†
Arena MathsArena (LMArena)1487†1448
AIME 2025 (AA)Artificial Analysis–88.3%
Knowledge
SimpleQA VerifiedEpoch AI Benchmarking Hub75.6%†49.4%†
LiveBench 2.0 Data AnalysisLiveBench83.0%–
LiveBench ResearchLiveBench85.2%–
LiveBench 1.0 Data AnalysisLiveBench83.0%†–
AA-Omniscience v1.1Artificial Analysis42.4†–
MMLU-ProVals AI–85.6%†
LegalBenchVals AI–83.8%†
CorpFinVals AI–59.7%†
TaxEvalVals AI–74.6%†
MedQAVals AI–96.1%†
PRBench FinanceScale AI SEAL47.5%47.7%
PRBench LegalScale AI SEAL48.4%48.6%
MultiNRCScale AI SEAL–45.5%†
MMLU-Pro (HELM)HELM Capabilities–85.9%
BioMysteryBenchVals AI79.3%†–
Excel Modeling BenchmarkVals AI71.7%†–
Excel Modeling Benchmark v1.1Vals AI72.7%†–
MedCodeVals AI48.5%†47.3%†
MedScribeVals AI87.9%†76.7%†
DrugDiscoveryBenchScale AI SEAL68.7%†–
EBR-benchEpoch AI Benchmarking Hub76.2%†–
GDP.pdfEpoch AI Benchmarking Hub34.2%†–
AA-Omniscience v1.1: accuracyArtificial Analysis61.6%†–
AA-Omniscience v1.1: non-hallucinationArtificial Analysis50.2%†–
HealthBench Professional (AA)OpenAI66.0%†–
Instruction following
LiveBench LanguageLiveBench89.4%†–
LiveBench Instruction FollowingLiveBench75.6%†–
IFBenchArtificial Analysis–71.4%
MultiChallengeScale AI SEAL–56.6%†
TutorBenchScale AI SEAL–52.1%†
IFEval (HELM)HELM Capabilities–86.9%
WildBench (HELM)HELM Capabilities–86.1%
Arena Instruction FollowingArena (LMArena)1473†1403
Human preference
Arena TextArena (LMArena)1477†1432
Arena Creative WritingArena (LMArena)1450†1383
Arena Multi-turnArena (LMArena)1485†1420
Arena Longer QueriesArena (LMArena)1489†1411
Lech Mazur Creative WritingLech Mazur–83.9%†
Multimodal
Arena VisionArena (LMArena)1280†1214
LiveBench DesignLiveBench82.0%–
MMMU-ProArtificial Analysis86.9%†70.1%
VISTAScale AI SEAL–50.1%†
MMMU (validation)MMMU–82.9%
MMMU-Pro (official)MMMU–76.4%
MMMU-Pro (Vals)Vals AI–80.4%†
MortgageTaxVals AI–65.7%†
VTBScale AI SEAL–13.7%
GeoBenchGeoBench–60.0%†
VPCTEpoch AI Benchmarking Hub–52.0%†
Blueprint-Bench 2Epoch AI Benchmarking Hub49.7%–
Code2Video-AAArtificial Analysis1427†–
AA-3DArtificial Analysis1164†–
Long context
Fiction.LiveBench 120kFiction.live–100.0%†
AA-LCR v1.1Artificial Analysis80.7%†74.7%
Arena DocumentArena (LMArena)1473†–
MLCRArtificial Analysis41.7%†–
Composite
Epoch Capabilities IndexEpoch AI Benchmarking Hub168.8146.7
LiveBench 2.0LiveBench85.6%–
LiveBench 1.0LiveBench82.2%†–
AA Intelligence Index v5.0Artificial Analysis56.9†–
AA Intelligence Index v4.3.2Artificial Analysis52.7†20.2
AA Progress Index v1Artificial Analysis349.6†258.3
Vals IndexVals AI65.0†–
HELM Capabilities meanHELM Capabilities–81.1%
Vals Finance IndexVals AI55.6%†–
Vals RSI IndexVals AI27.1%†–
Vals Science IndexVals AI65.1%†–
Vals Router IndexVals AI65.0%–
AA Cyber IndexArtificial Analysis33.4†–
Safety & honesty
FORTRESSScale AI SEAL–16.0%
MASKScale AI SEAL–84.5%†
PropensityBenchScale AI SEAL–10.5%

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

What changed

  • o3: 1 new result (AA Progress Index v1).
  • GPT-6 Astra: 3 score revisions.
  • GPT-6 Astra: 1 new result (Vals Router Index).
  • GPT-6 Astra: 1 score revision.
  • o3: 1 score revision.
  • GPT-6 Astra: 8 new results (LiveBench 2.0, LiveBench Long Agentic, LiveBench 2.0 Reasoning…).
  • GPT-6 Astra: 1 new result (Startrise Frontend).
  • GPT-6 Astra: BenchLeader Index 68.9 → 68.0.
  • GPT-6 Astra: BenchLeader Index 67.3 → 68.9.
  • GPT-6 Astra: 2 new results (PRBench Legal, HiL-Bench).

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

GPT-6 Astra vs o3: questions

Is GPT-6 Astra better than o3?
GPT-6 Astra leads on quality: 68.2 vs 61.0. The BenchLeader Index combines every independent quality benchmark; GPT-6 Astra is ahead overall as of 29 Oct 2026, but check the category scores for your use.
GPT-6 Astra vs o3: which is cheaper, and will that change?
o3 is cheaper today: $3.50 against $20.00 per million tokens, blended at three input tokens per output token. No price change has been announced for either.
Is GPT-6 Astra or o3 better for coding?
GPT-6 Astra scores higher in coding (83 vs 62 on the category index, where 50 is average).
Which is faster, GPT-6 Astra or o3?
o3 streams 3×+ faster (158 vs 40 output tokens per second, Artificial Analysis 7-day median).
Is GPT-6 Astra or o3 better for agents and tool use?
They are level in agentic tasks (70 vs 70 on the category index).
More questions (4)
Which is better for long documents?
GPT-6 Astra accepts more context: 1,050,000 against 200,000 tokens for o3.
Which has lower latency?
GPT-6 Astra answers first: 3.0 s against 5.9 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 GPT-6 Astra vs o3?
Across the 3 benchmarks both have, GPT-6 Astra leads 1, o3 leads 2. Every overall index that rates both puts GPT-6 Astra ahead.
When was GPT-6 Astra released?
GPT-6 Astra was released on 2 Sept 2026.