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ModelScale

o1

OpenAI · Proprietary · rank 142 · bench-align-v5

Compare this model Model a workload
Canonical ido1
Overall score46.3
Context window200K tokens
Release date2024-12-01
Access typeProprietary
Blended $/1M$26.2575% input / 25% output

Capability shape

Seven axes from the ranking source. A missing axis is drawn as a gap.

Capability evidence

AgenticUnavailable
CodingUnavailable
Knowledge62.8
Reasoning65.7
Multimodal & GroundedUnavailable
Instruction Following85.9
Math32.6

Runtime service evidence

Measured values with the date they were observed. Nothing is inferred from a sibling model or a provider claim.

Time to first token: latency to the first answer chunk (Artificial Analysis, via BenchLM). Reasoning models include thinking time, so values can run to tens or hundreds of seconds.

Evidence key: Observed

Runtime measurements
MeasurementValueObservedLast goodEvidence
Time to first token32.29 s2026-09-172026-09-17
Throughput98 tok/s2026-09-172026-09-17

Regional or per-endpoint measurements appear only when the API supplies them; none are modelled here.

Endpoint and price matrix

Every published price component, including cache reads and writes.

Price components
ComponentUSDEvidence
Input / 1M tokens$15.00
Output / 1M tokens$60.00
Cache read / 1M tokens$7.50
Cache write / 1M tokensUnavailable
Blended / 1M (75% input / 25% output)$26.25
Self-hosted listingOpenAI's o1 model page lists $15.00 input / $60.00 output per million tokens.The rates above are a hosted price matched from another provider, not a first-party list price.

Workload-aware monthly cost example

10 conversations per day × 8 messages × 22 active days, 1200 input and 400 output tokens per message, no cache. This uses the same calculator as the cost simulator, so an unavailable applicable rate makes the example unavailable too.

Modelled monthly cost$73.92
Modelled tokens2.82M
Open the simulatorChange this workload

Benchmark record

15 matched benchmark rows with their published value, unit, and provenance.

Knowledge

Knowledge benchmarks
BenchmarkValueTasksDifficultyProvenance
MMLU
Massive Multitask Language Understanding
91.857 subjectsElementary to professional levelMeasuring Massive Multitask Language Understanding
GPQA
Graduate-Level Google-Proof Q&A
75.7448 questionsGraduate levelGPQA: A Graduate-Level Google-Proof Q&A Benchmark
Artificial Analysis Intelligence Index
Artificial Analysis Intelligence Index
15.2Cross-benchmark intelligence indexDisplay-only external referenceArtificial Analysis
AA-GPQA Diamond
Artificial Analysis GPQA Diamond
74.7Graduate-level science questionsGraduate-level science reasoningArtificial Analysis GPQA Diamond Benchmark Leaderboard
AA-HLE
Artificial Analysis Humanity's Last Exam
7.0Expert-level questionsFrontier expert reasoningArtificial Analysis Humanity's Last Exam Benchmark Leaderboard
AA-Omniscience Index
Artificial Analysis Omniscience Index
-11.0Knowledge questionsBroad factual knowledgeAA-Omniscience: Knowledge and Hallucination Benchmark
AA-Omniscience Accuracy
Artificial Analysis Omniscience Accuracy
34.5Knowledge questionsBroad knowledgeArtificial Analysis model benchmarks
AA-Omniscience Hallucination Rate
Artificial Analysis Omniscience Hallucination Rate
69.6Knowledge questionsFactualityArtificial Analysis model benchmarks

Coding

Coding benchmarks
BenchmarkValueTasksDifficultyProvenance
AA Coding Index
Artificial Analysis Coding Index
39.7Cross-benchmark coding indexDisplay-only external referenceArtificial Analysis model leaderboards

Mathematics

Mathematics benchmarks
BenchmarkValueTasksDifficultyProvenance
FrontierMath v2 (Tiers 1-3)
FrontierMath v2 Tiers 1-3
9.310295 private advanced mathematics problemsFrom olympiad-plus to early research mathematicsFrontierMath v2 benchmark hub

Reasoning

Reasoning benchmarks
BenchmarkValueTasksDifficultyProvenance
AA-LCR
Artificial Analysis Long Context Reasoning
65.0Long-context reasoning tasksLong-context reasoningArtificial Analysis model benchmarks
CritPt
Critical Physics Tasks
0.3Research-level physics questionsResearch-level physics reasoningCritPt Benchmark Leaderboard

Instruction Following

Instruction Following benchmarks
BenchmarkValueTasksDifficultyProvenance
IFEval
Instruction-Following Eval
92.2541 prompts across 25 instruction typesInstruction precisionInstruction-Following Evaluation for Large Language Models
AA-IFBench
Artificial Analysis IFBench
70.3Verifiable instruction constraintsInstruction precisionArtificial Analysis IFBench Benchmark Leaderboard

Agentic

Agentic benchmarks
BenchmarkValueTasksDifficultyProvenance
τ²-bench results
τ²-Bench Tool-Agent-User Evaluation
62.6Airline, retail, and telecom customer-service task setsDual-control customer-service workflowsτ²-Bench: Evaluating Conversational Agents in a Dual-Control Environment

Lifecycle and limitations log

Lifecycle events the source associates with this model, plus what this profile does not claim.

No lifecycle event references this model.

That is not evidence the model has no lifecycle plan — only that this source published none.

What this profile does not claimValues are reproduced exactly as their sources published them, in the units those sources declared; none are converted, interpolated, or averaged across providers. Any field marked unavailable was attempted and not returned — the attempt timestamp is in each badge. Last attempted fetch for this model’s score: 2026-09-17 17:17 UTC.