Capability
49.4/100
field median 59.1
#145 of 230 ranked models
GPT-OSS 120B
Released Aug 5, 2025 — see all recent releases
Decision reading
GPT-OSS 120B scores 49.4 out of 100 and ranks #145 of 230. This profile shows 2 source-displayable benchmark rows; its strongest eligible category is Agentic at #92. Published weights can be self-hosted, but infrastructure cost varies and is not a comparable API token rate.
Data as of September 2, 2026 · How the score is built
Strongest published evidence
Agentic ranks #92. Particularly useful for coding agents, browser research, and computer-use workflows.
Validate before choosing
2 published rows leave some tracked benchmark slots empty. No comparable first-party API token rate is published.
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.
Price
Self-hosted; infrastructure cost varies
input median $1
No comparable first-party hosted token rate
Speed
162tok/s
field median 90 tok/s
First token 13.21 s
Context
128Ktokens
field median 256,000
Reported for this model; direct source link not stored
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 120B category percentile values
- Agentic36th percentile
- Coding31st percentile
- ReasoningNot eligible
- KnowledgeNot eligible
- MathNot eligible
- MultilingualNot eligible
- MultimodalNot eligible
- Instruction followingNot eligible
The dashed outline is median of 6 nearest peers.
Eligible category ranks
- Agentic#92/143
- Coding#103/148
- ReasoningNot ranked
- KnowledgeNot ranked
- MathNot ranked
- MultilingualNot ranked
- MultimodalNot ranked
- Inst. FollowingNot ranked
Top decileTop quartileMid-fieldNot eligible
How 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.
- Agentic1/1 verified
- Coding1/1 verified
- ReasoningNot measured
- KnowledgeNot measured
- MathNot measured
- MultilingualNot measured
- MultimodalNot measured
- Inst. FollowingNot measured
Verified sourceProvisionalNot measured
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
- Not sourced yet
- 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
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 parametersCategory 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 |
|---|---|---|---|---|---|---|
| AgenticRank #92 of 143Percentile 36thWeight 22%1 benchmarkVerified | 44.6 | #92 of 143 | 36th | 22% | 1 benchmark | Verified |
| CodingRank #103 of 148Percentile 31stWeight 20%1 benchmarkVerified | 47.5 | #103 of 148 | 31st | 20% | 1 benchmark | Verified |
| ReasoningWeight 17%0 benchmarksNot measured | Not measured | Not ranked | Not available | 17% | 0 benchmarks | Not measured |
| KnowledgeWeight 12%0 benchmarksNot measured | Not measured | Not ranked | Not available | 12% | 0 benchmarks | Not measured |
| MathWeight 5%0 benchmarksNot measured | Not measured | Not ranked | Not available | 5% | 0 benchmarks | Not measured |
| MultilingualWeight 7%0 benchmarksNot measured | Not measured | Not ranked | Not available | 7% | 0 benchmarks | Not measured |
| MultimodalWeight 12%0 benchmarksNot measured | Not measured | Not ranked | Not available | 12% | 0 benchmarks | Not measured |
| Inst. FollowingWeight 5%0 benchmarksNot measured | Not measured | Not ranked | Not available | 5% | 0 benchmarks | Not measured |
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.
Coding1 row
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| React Native Evals | Score71.6% | Versus best verified row Best verified: Composer 2 · 96.1% | Gap24.5 behind | WeightDisplay only | Benchmark exact |
Agentic1 row
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| Gert LabsGert Labs Composite Game Benchmark | Score29.61% | Versus best verified row Best verified: Claude Opus 4.8 · 72.97% | Gap43.4 behind | WeightDisplay only | Benchmark exact |
Lineage
The sequence follows explicit supersedes links. A successor's displayed score stays at least 0.1 points above its predecessor; raw benchmark rows do not move. Scores and prices remain blank when the corresponding public row or first-party rate is unavailable.
Aug 5, 2025 · you are here
GPT-OSS 120BScore 49.4 · Price not listed
Base entry
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 120B ranks #145 of 230 on the public leaderboard with a score of 49.37/100. Its source-verified position is #66 of 105.
GPT-OSS 120B is a open weight model with a 128K context window. No explicit reasoning mode is documented in this profile.
GPT-OSS 120B sits in the GPT-OSS family with GPT-OSS 20B. 2 of 416 tracked benchmark slots currently have displayable evidence. Missing categories stay blank.
Its strongest eligible category is Agentic at #92, while its lowest eligible position is Coding at #103. particularly useful for coding agents, browser research, and computer-use workflows.
Frequently asked questions
How does GPT-OSS 120B perform overall in AI benchmarks?
GPT-OSS 120B ranks #145 out of 230 models on the public BenchAlign leaderboard, with a score of 49.37/100. Its evidence status is Supported, and this profile shows 2 source-displayable benchmark rows. The label describes evidence depth, not a provider quality claim; inspect category rows before choosing a workload.
Is GPT-OSS 120B good for coding and programming?
GPT-OSS 120B ranks #103 out of 148 eligible models for coding and programming, with a public category score of 47.5/100. 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 120B good for agentic tool use and computer tasks?
GPT-OSS 120B ranks #92 out of 143 eligible models for agentic tool use and computer tasks, with a public category score of 44.6/100. 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 120B open source?
GPT-OSS 120B 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 120B?
GPT-OSS 120B belongs to the GPT-OSS family. Related tracked variants include GPT-OSS 20B. 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 120B have full benchmark coverage on BenchLM?
No. GPT-OSS 120B currently has 27 source-displayable rows across 416 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 120B?
GPT-OSS 120B 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.
Compare GPT-OSS 120B with every tracked model409 comparisons
Last updated September 2, 2026. Runtime fields remain blank until a sourced snapshot exists.
Watch GPT-OSS 120B in the weekly brief
Get one weekly email when material rank, price, availability, or benchmark evidence changes are worth revisiting.
Read a sample issueJoin 2,000+ readers.