gpt-oss local model profile
Evidence snapshot:
gpt-oss is a local model family available through Ollama. The published local profile lists 20B / 120B variants, 128K context, and a typical 14-65GB download range; effective speed and capacity depend on hardware and quantization.
gpt-oss is documented as a local Ollama family. This page does not claim a Kendr-hosted API route, hosted availability, a Kendr markup, or a routing receipt.
gpt-oss accepts text and returns text. The snapshot records text, tools, and reasoning as capabilities or interfaces.
$0 token fee. Hardware, storage, memory, electricity, and operational costs remain user-provided.
No comparable third-party benchmark value is present in the 2026-08-12 snapshot. Missing values are not estimated.
No comparable popularity rank or traffic share is present in the 2026-08-12 snapshot. No comparable routing rank or traffic-share observation is attached to this dated profile; missing adoption evidence is not estimated.
Profile data was reviewed for the 2026-08-12 snapshot. Claims retain their source dates, and unavailable fields are shown as unavailable instead of estimated.
Profile facts
- Profile type
- Local model family
- Provider or publisher
- Open-weight / Ollama
- Context window
- 128K
- Snapshot date
- 2026-08-12
Context, modalities, and identity
gpt-oss accepts text and returns text. The snapshot records text, tools, and reasoning as capabilities or interfaces.
- Provider or publisher
- Open-weight / Ollama
- Context window
- 128K
- Maximum output
- No verified numeric limit
- Input modalities
- text
- Output modalities
- text
- Knowledge cutoff
- Not disclosed
Ollama variants and hardware boundary
The documented Ollama family uses gpt-oss. It is suited to Agentic tasks, structured output, code, and configurable reasoning. Actual throughput and maximum usable context vary with the selected variant, quantization, runtime, RAM, and VRAM.
- Ollama identifier
- gpt-oss
- Variants
- 20B / 120B
- Typical download
- 14-65GB
Capabilities and supported controls
Capabilities and parameters are reported from the dated catalog and source records; their presence does not guarantee identical behavior across every provider route.
- Supported parameters
- No verified parameter list
- text
- tools
- reasoning
Local operating cost
$0 token fee. Hardware, storage, memory, electricity, and operational costs remain user-provided.
Local inference is not a zero-cost operation: the user supplies compute, memory, storage, electricity, and maintenance.
- Price date
- 2026-08-12
- Input
- $0 per 1M tokens
- Cached input
- No verified rate
- Output
- $0 per 1M tokens
Benchmark evidence and limitations
No comparable third-party benchmark value is present in the 2026-08-12 snapshot. Missing values are not estimated.
Local performance varies by exact variant, quantization, hardware, runtime, and settings.
Popularity and market context
No comparable popularity rank or traffic share is present in the 2026-08-12 snapshot. No comparable routing rank or traffic-share observation is attached to this dated profile; missing adoption evidence is not estimated.
- Third-party catalog rank
- No verified rank
- Global market share
- Not inferred
- Observation date
- 2026-08-12
Frequently asked questions
What is gpt-oss?
gpt-oss is a local model family available through Ollama. The published local profile lists 20B / 120B variants, 128K context, and a typical 14-65GB download range; effective speed and capacity depend on hardware and quantization.
What context window does gpt-oss have?
The dated profile lists 128K of context. Provider routes, variants, and runtime configuration can impose lower effective limits.
What benchmark evidence is available for gpt-oss?
No comparable third-party benchmark value is present in the 2026-08-12 snapshot. Missing values are not estimated. Local performance varies by exact variant, quantization, hardware, runtime, and settings.
Can gpt-oss run locally?
gpt-oss is documented here as an Ollama family with the identifier gpt-oss. Hardware, quantization, context settings, and the selected variant determine practical speed and memory use.
Sources and evidence dates
- gpt-oss on Ollama (primary, checked 2026-08-12)