Skip to main content
ModelScale

GPT-OSS 20B

OpenAI · Open Weight · rank 166 · bench-align-v5

Self-hosted
Compare this model Model a workload
Canonical idgpt-oss-20b
Overall score41.18
Context window128K tokens
Release date2025-08-05
Access typeOpen Weight
Blended $/1M$0.05575% input / 25% output

Capability shape

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

Capability evidence

AgenticUnavailable
CodingUnavailable
Knowledge40.8
Reasoning44.9
Multimodal & GroundedUnavailable
Instruction Following79.2
MathUnavailable

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 token0.65 s2026-09-172026-09-17
Throughput313 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$0.03
Output / 1M tokens$0.13
Cache read / 1M tokens$0.03
Cache write / 1M tokensUnavailable
Blended / 1M (75% input / 25% output)$0.055
Self-hosted listingOpen-weight model. Self-hosted or third-party hosted costs vary by provider and infrastructure.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$0.15
Modelled tokens2.82M
Open the simulatorChange this workload

Benchmark record

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

Knowledge

Knowledge benchmarks
BenchmarkValueTasksDifficultyProvenance
Artificial Analysis Intelligence Index
Artificial Analysis Intelligence Index
9.0Cross-benchmark intelligence indexDisplay-only external referenceArtificial Analysis
AA-GPQA Diamond
Artificial Analysis GPQA Diamond
68.8Graduate-level science questionsGraduate-level science reasoningArtificial Analysis GPQA Diamond Benchmark Leaderboard
AA-HLE
Artificial Analysis Humanity's Last Exam
11.0Expert-level questionsFrontier expert reasoningArtificial Analysis Humanity's Last Exam Benchmark Leaderboard
AA-Omniscience Index
Artificial Analysis Omniscience Index
-63.0Knowledge questionsBroad factual knowledgeAA-Omniscience: Knowledge and Hallucination Benchmark
AA-Omniscience Accuracy
Artificial Analysis Omniscience Accuracy
16.0Knowledge questionsBroad knowledgeArtificial Analysis model benchmarks
AA-Omniscience Hallucination Rate
Artificial Analysis Omniscience Hallucination Rate
94.1Knowledge questionsFactualityArtificial Analysis model benchmarks

Coding

Coding benchmarks
BenchmarkValueTasksDifficultyProvenance
React Native Evals
React Native Evals
71React Native app implementation tasksProduction mobile app engineeringReact Native Evals
AA Coding Index
Artificial Analysis Coding Index
20.7Cross-benchmark coding indexDisplay-only external referenceArtificial Analysis model leaderboards
AA-SciCode
Artificial Analysis SciCode
38.9Scientific coding subproblemsScientific programmingArtificial Analysis SciCode Benchmark Leaderboard

Reasoning

Reasoning benchmarks
BenchmarkValueTasksDifficultyProvenance
AA-LCR
Artificial Analysis Long Context Reasoning
34.7Long-context reasoning tasksLong-context reasoningArtificial Analysis model benchmarks
CritPt
Critical Physics Tasks
1.4Research-level physics questionsResearch-level physics reasoningCritPt Benchmark Leaderboard

Instruction Following

Instruction Following benchmarks
BenchmarkValueTasksDifficultyProvenance
AA-IFBench
Artificial Analysis IFBench
65.1Verifiable instruction constraintsInstruction precisionArtificial Analysis IFBench Benchmark Leaderboard

Agentic

Agentic benchmarks
BenchmarkValueTasksDifficultyProvenance
GDPval-AA
GDPval-AA
514Agentic real-world work tasksProfessional agentic workflowsDeepSeek-V4 Technical Report
GDPval-AA
GDPval-AA normalized
0.7Economically valuable tasksProfessional agentic workflowsArtificial Analysis model benchmarks
AA Agentic Index
Artificial Analysis Agentic Index
1.4Cross-benchmark agentic indexDisplay-only external referenceArtificial Analysis model leaderboards
APEX-Agents-AA
APEX-Agents-AA
0.7452 professional-services agent tasksLong-horizon workplace agent tasksAPEX-Agents-AA Benchmark Leaderboard
τ²-bench results
τ²-Bench Tool-Agent-User Evaluation
60.2Airline, retail, and telecom customer-service task setsDual-control customer-service workflowsτ²-Bench: Evaluating Conversational Agents in a Dual-Control Environment

Multimodal & Grounded

Multimodal & Grounded benchmarks
BenchmarkValueTasksDifficultyProvenance
Design Arena Website
Design Arena Website Elo
865Website generation comparisonsDesign and website generationOpenRouter Grok 4.3 benchmarks

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.