OpenAI · GPT-OSS

GPT-OSS 120B

Verified by Badgr · Serve

GPT-OSS 120B is a 120B chat and text-generation model available through supported Badgr execution routes.

Last validated or meaningfully updated: 2026-10-10

ChatLong contextFine-tunable

✓ Verified by Badgr · vLLM · Serve

Last verified 2026-10-10

badgr serve openai/gpt-oss-120b --max-cost 5
GPU
NVIDIA H100 80GB HBM3Reported by the provider, not confirmed inside the container
Time to verified
455s
Deployment
dep-541706d9f9
  • ✓ vLLM started
  • ✓ 1-token /v1/completions request returned HTTP 200
  • ✓ final_state = VERIFIED
  • ✓ teardown completed

A 120B mixture-of-experts model served on one H100 80GB with Badgr's default 65,536-token context cap. Verification used a 1-token completion; this is a start-up and health proof, not a quality or throughput test.

Raw evidence
final_state=VERIFIED failure_class=None providers_tried=1/1 teardown_confirmed=False spend_usd=0.4216

Run from Badgr's local development environment. Documents that this deployment path works end-to-end for this model.

Availability

✓ Badgr AI API

Available through Badgr

✓ Dedicated endpoint

Available through Badgr

✓ Custom GPU deployment

Available through Badgr

Deployment profile

Architecture
GptOssForCausalLM
Licence
Apache-2.0
Minimum VRAM
~244GB
Context
128K tokens

Recommended: H200 141GB. VRAM is an estimate and increases with context, cache, concurrency, and runtime overhead.

Model identity

Updated
1 years ago
HuggingFace revision
b5c939de8f

Popularity and trust

Downloads (last month)

3.8M

Likes

5.4K

Spaces using this model

100

Files and formats

Weight formats

Safetensors, PyTorch bin

Repository files

37

Chat template

Available

GPU deployment scenarios

Estimated from parameter count and quantisation. This model's one verified real run was reported by the provider as NVIDIA H100 80GB HBM3, which isn't one of the tiers below.

Testing

A100 80GB

Short context, low concurrency

Small production

H100 80GB

8K context, 1-4 concurrent requests

Higher throughput

H200 141GB

32K context, continuous batching

Large production

2× H200 141GB

Tensor parallel, higher concurrency

Estimated — multimodal inputs, long context, and concurrency all increase real VRAM use beyond this estimate.

Also runs well on H100 80GB. Available in United States, Europe.

Serving compatibility

RuntimeStatusNotes
vLLMVerified by BadgrConfirmed by a real badgr serve run (deployment dep-541706d9f9)
TransformersDeclared by sourceBasic fallback
llama.cppRequires GGUF conversionNo GGUF weights found in repo
SGLangUnknownNot evaluated
OllamaUnknownNot evaluated
DiffusersUnknownNot evaluated
PyTorchUnknownNot evaluated
TensorRT-LLMUnknownConversion may be required
TGIUnknownNot evaluated

Call this model through Badgr

curl https://aibadgr.com/v1/chat/completions \
  -H "Authorization: Bearer $BADGR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"openai/gpt-oss-120b","messages":[{"role":"user","content":"Hello"}]}'

Ready-to-run Badgr configurations

Quick test

badgr serve openai/gpt-oss-120b --max-cost 2

Validated dedicated endpoint command

badgr serve openai/gpt-oss-120b --gpu H200 --max-cost 10

Advanced configuration (defaults to automatic)

  • Runtime
  • Quantisation
  • GPU and GPU count
  • Context length
  • Maximum concurrency
  • Region
  • Maximum hourly spend
  • Persistent or capped runtime

Estimated pricing

Provider estimate: cold start

2–5 min

Provider estimate: endpoint cost

$1.90 – $1.90/hr

Idle cost

$0 when stopped

Per-token throughput cost is not shown here: Badgr has not benchmarked this model yet, and this page does not display figures it cannot back with real data.

Recommended Badgr routes

H100 80GB · Europe

Estimated

starting from $1.90/hr

Badgr estimated starting price

Best for

LoRA Training, vLLM Endpoint, Qwen 2.5 32B Instruct

Startup: 2–5 min

Reliability: High

Last checked: Live marketplace price not available yet

H100 80GB · Europe

Estimated

starting from $1.90/hr

Badgr estimated starting price

Best for

LoRA Training, vLLM Endpoint, Qwen 2.5 32B Instruct

Startup: 2–5 min

Reliability: High

Last checked: Live marketplace price not available yet

H100 80GB · Europe

Estimated

starting from $1.90/hr

Badgr estimated starting price

Best for

LoRA Training, vLLM Endpoint, Qwen 2.5 32B Instruct

Startup: 2–5 min

Reliability: High

Last checked: Live marketplace price not available yet

H100 80GB · Europe

Estimated

starting from $1.90/hr

Badgr estimated starting price

Best for

LoRA Training, vLLM Endpoint, Qwen 2.5 32B Instruct

Startup: 2–5 min

Reliability: High

Last checked: Live marketplace price not available yet

H100 80GB · Europe

Estimated

starting from $1.90/hr

Badgr estimated starting price

Best for

LoRA Training, vLLM Endpoint, Qwen 2.5 32B Instruct

Startup: 2–5 min

Reliability: High

Last checked: Live marketplace price not available yet

H100 80GB · Asia Pacific

Estimated

starting from $1.90/hr

Badgr estimated starting price

Best for

LoRA Training, vLLM Endpoint, Qwen 2.5 32B Instruct

Startup: 2–5 min

Reliability: High

Last checked: Live marketplace price not available yet

Known limitations

  • Memory use increases with context length and concurrency.

Related troubleshooting