Data as of October 17, 2026 · How the score is built
Released Aug 5, 2025128K context
GPT-OSS 20B
Decision readingGPT-OSS 20B scores 33.3 out of 100 and ranks #170 of 224. This profile shows 7 source-displayable benchmark rows; its strongest eligible category is Coding at #123. Published weights can be self-hosted, but infrastructure cost varies and is not a comparable API token rate.
Released Aug 5, 2025 — see all recent releases
Decision snapshot
Each value carries a field reference instead of floating alone. Markers compare this model with the current ranked and priced catalog; they are not absolute quality thresholds.
Capability
33.3/100
field median 49.6#170 of 224 ranked models
Public
#170of 224
Verified #78 of 88
Price
Self-hosted; infrastructure cost varies
input median $0.75No comparable first-party hosted token rate
Speed
313tok/s
field median 92 tok/sFirst token 0.65 s
Context
128Ktokens
field median 256,000Reported for this model; direct source link not stored
Strongest published evidence
Coding ranks #123. Particularly well-suited for software development and code generation tasks.
Validate before choosing
7 published rows leave some tracked benchmark slots empty. No comparable first-party API token rate is published.
Source-linked · 7 displayable benchmark rows
Category score record
Scores and ranks appear only where published evidence can be displayed. The table keeps the score, weight, cohort, and evidence state together.
| Category | Score | Rank | Percentile | Weight | Benchmarks | Evidence |
|---|---|---|---|---|---|---|
| AgenticWeight 22%0 benchmarksNot measured | Not measured | 0 benchmarks | Not measured | |||
| CodingRank #123 of 150Percentile 18thWeight 20%2 benchmarksVerified | 18.2 | 2 benchmarks | Verified | |||
| ReasoningWeight 17%0 benchmarksNot measured | Not measured | 0 benchmarks | Not measured | |||
| MultimodalWeight 12%0 benchmarksNot measured | Not measured | 0 benchmarks | Not measured | |||
| KnowledgeRank #140 of 184Percentile 24thWeight 12%3 benchmarksVerified | 33.9 | 3 benchmarks | Verified | |||
| MultilingualWeight 7%0 benchmarksNot measured | Not measured | 0 benchmarks | Not measured | |||
| Inst. FollowingWeight 5%0 benchmarksNot measured | Not measured | 0 benchmarks | Not measured | |||
| MathWeight 5%2 benchmarksVerified | Score pending | 2 benchmarks | Verified |
7 of 681 tracked benchmark slots have displayable evidence · bars run 0–100
Coverage detailsHow much of this is verified
Coverage is split by category so a strong number never hides a thin evidence base. Verified means the row is tied to a published source; provisional rows remain visible but separate.
- AgenticNot measured
- Coding2/2 verified
- ReasoningNot measured
- MultimodalNot measured
- Knowledge3/3 verified
- MultilingualNot measured
- Inst. FollowingNot measured
- Math2/2 verified
Capability shape
Each axis shows percentile within that category’s eligible cohort. The comparison outline is the median of the six nearest public-score peers; a collapsed vertex means the category is not rank-eligible.
GPT-OSS 20B category percentile values
- AgenticNot eligible
- Coding18th percentile
- ReasoningNot eligible
- MultimodalNot eligible
- Knowledge24th percentile
- MultilingualNot eligible
- Instruction followingNot eligible
- MathNot eligible
The dashed outline is median of 6 nearest peers.
Eligible category ranks
- AgenticNot ranked
- Coding#123/150
- ReasoningNot ranked
- MultimodalNot ranked
- Knowledge#140/184
- MultilingualNot ranked
- Inst. FollowingNot ranked
- MathNot ranked
Benchmark ledger
Coding opens by default. The marker compares each value with the best source-verified result in the catalog; provisional leaders do not set the reference. Expand the remaining categories for every published row.
Coding2 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| SWE-bench VerifiedSoftware Engineering Benchmark Verified | Score60.7% | Versus best verified row Best verified: Claude Opus 5 · 96% | Gap35.3 behind | WeightDisplay only | Provider exact |
| React Native Evals | Score71% | Versus best verified row Best verified: Composer 2 · 96.1% | Gap25.1 behind | WeightDisplay only | Benchmark exact |
Knowledge3 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| HLEHumanity's Last Exam | Score10.9% | Versus best verified row Best verified: Claude Fable 5.1 · 65% | Gap54.1 behind | Weight44% ref. weight | Provider exact |
| GPQAGraduate-Level Google-Proof Q&A | Score71.5% | Versus best verified row Best verified: GPT-6 Astra · 96% | Gap24.5 behind | Weight3% ref. weight | Provider exact |
| MMLUMassive Multitask Language Understanding | Score85.3% | Versus best verified row Best verified: o1 · 91.8% | Gap6.5 behind | WeightDisplay only | Provider exact |
Math2 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| AIME 2024American Invitational Mathematics Examination 2024 | Score92.1% | Versus best verified row Best verified: GPT-OSS 120B · 95.8% | Gap3.7 behind | WeightDisplay only | Provider exact |
| AIME 2025American Invitational Mathematics Examination 2025 | Score91.7% | Versus best verified row Best verified: GPT-5.2 · 100% | Gap8.3 behind | WeightDisplay only | Provider exact |
Bars run 0–100; the dark tick marks the best source-verified value
All 7 rowsLineage
The sequence follows explicit supersedes links. Each score is estimated for that model; a relative can inform a sparse estimate but never sets a floor, so a newer release can score below an earlier one. Scores and prices remain blank when the corresponding public row or first-party rate is unavailable.
Spec sheet
Each documented value carries its source. Missing fields stay visible as not sourced or not published, rather than disappearing from the page.
- API model ID
- Not published
- Context window
- 128K
- Maximum output
- Not sourced yet
- Knowledge cutoff
- Not sourced yet
- Input modalities
- Not sourced yet
- Output modalities
- Not sourced yet
- Parameters
- 20B total · MOE
- Availability
- Not sourced yet
- Cloud regions
- Not tracked yet
- Lifecycle
- Established
- API capabilities
- Tool calling, structured outputs, and batch support are not tracked yet
- Prompt caching
- Not documented in the pricing record
- Self-host
- Open weights available; hardware estimate not sourced
- Rate limits
- Not tracked yet
How to read this profile
The visual layer above carries the decisions. These notes preserve the model, ranking, coverage, and family context behind the numbers.
GPT-OSS 20B ranks #170 of 224 on the public leaderboard with a score of 33.32/100. Its source-verified position is #78 of 88.
GPT-OSS 20B is a open weight model with a 128K context window. No explicit reasoning mode is documented in this profile.
GPT-OSS 20B sits in the GPT-OSS family with GPT-OSS 120B. 7 of 681 tracked benchmark slots currently have displayable evidence. Missing categories stay blank.
Its strongest eligible category is Coding at #123, while its lowest eligible position is Knowledge at #140. particularly well-suited for software development and code generation tasks.
Last updated October 17, 2026. Runtime fields remain blank until a sourced snapshot exists.
Deployment options
Self-host and provider-specific paths stay separate from benchmark evidence so operating constraints are visible before a score becomes the whole decision.
Published weights are available, but BenchLM does not yet have a sourced parameter and VRAM profile for this exact model. Hardware cost estimates stay unavailable until that sizing record is complete.
Estimate VRAM from known parametersQuestions
How does GPT-OSS 20B perform overall in AI benchmarks?
GPT-OSS 20B ranks #170 out of 224 models on the public BenchAlign leaderboard, with a score of 33.32/100. Its evidence status is Supported, and this profile shows 7 source-displayable benchmark rows. The label describes evidence depth, not a provider quality claim; inspect category rows before choosing a workload.
Is GPT-OSS 20B good for knowledge and understanding?
GPT-OSS 20B ranks #140 out of 184 eligible models for knowledge and understanding, with a public category score of 33.9/100. Higher-ranked alternatives are available for workloads where this category decides the choice. Check the underlying rows before treating the aggregate as a workload guarantee.
Is GPT-OSS 20B good for coding and programming?
GPT-OSS 20B ranks #123 out of 150 eligible models for coding and programming, with a public category score of 18.2/100. Higher-ranked alternatives are available for workloads where this category decides the choice. Check the underlying rows before treating the aggregate as a workload guarantee.
Is GPT-OSS 20B good for mathematics?
GPT-OSS 20B has source-displayable benchmark coverage for mathematics, but the public category table does not assign it a rank there. The individual rows remain available for inspection. A missing category position means the evidence threshold was not met; it does not convert the model's unmeasured work into a zero.
Is GPT-OSS 20B open source?
GPT-OSS 20B is an open-weight model from OpenAI. Its weights can be downloaded for local or hosted deployment, subject to the published license. Open weight does not automatically mean open source: training data and training code may remain private, and commercial restrictions can still apply.
Which sibling models are related to GPT-OSS 20B?
GPT-OSS 20B belongs to the GPT-OSS family. Related tracked variants include GPT-OSS 120B. A sibling link indicates shared lineage or a documented configuration relationship; it does not mean the variants have identical pricing, context limits, benchmark evidence, or deployment behavior. Compare before switching.
Does GPT-OSS 20B have full benchmark coverage on BenchLM?
No. GPT-OSS 20B currently has 24 source-displayable rows across 681 tracked benchmark slots. The profile exposes published, non-generated evidence and leaves missing categories blank until an exact evaluation is available. Coverage describes how much was measured; it is not a penalty added to an individual benchmark result.
What is the context window size of GPT-OSS 20B?
GPT-OSS 20B has a reported context window of 128K in the exact-model catalog record. The value stays visible, but the profile marks its source link as unavailable instead of presenting it as directly documented. Maximum output length remains separate because providers often publish a different limit.