OpenAI GPT Oss 120B
IBM watsonx chatOpenAI GPT Oss 120B is an IBM watsonx chat model.It supports a 8,192-token context windowwith up to 8,192 output tokens.Input is priced at $0.150/M tokens and output at $0.600/M tokens. Route OpenAI GPT Oss 120B via Future AGI's Agent Command Center for unified observability, caching, and 15 routing strategies including cost-optimized fallback.
Estimate OpenAI GPT Oss 120B spend
Pick a workload, fine-tune the sliders, and see the monthly bill.
Estimate uses $0.1500/M input · $0.6000/M output. Provider pricing changes. Production costs vary with retries, streaming overhead, and tool-call rounds.
Want this for free? Cache + route via Agent Command Center — first 100K requests and 100K cache hits free every month.
Pricing
Per-token rates, expressed in USD per 1M tokens. Verified May 12, 2026.
| Input | $0.150/M | |
| Output | $0.600/M |
Limits
- Context window
- 8,192 tokens
- Max input
- 8,192 tokens
- Max output
- 8,192 tokens
- Modalities
- text
Capabilities
- Function calling — not advertised
- Parallel tool calls — not advertised
- Vision input — not advertised
- Audio input — not advertised
- Audio output — not advertised
- PDF input — not advertised
- Streaming ✓ supported
- Structured output — not advertised
- Prompt caching — not advertised
- Reasoning — not advertised
Where it's strong
Watch out for
- !limited context — 8,192-token window is in the bottom quartile; not ideal for long documents or large RAG
- !agentic workflows — no advertised function-calling; use a tool-capable model and route via Agent Command Center for fallback
- !small context (under 16K tokens)
- !strict structured output — no JSON-schema enforcement, expect retry loops
Benchmarks pending
We haven't logged public benchmark scores for OpenAI GPT Oss 120B yet. Have one to contribute? Submit a source — citations help us prioritise.
Call OpenAI GPT Oss 120B via Agent Command Center
One OpenAI-compatible endpoint. Routing, fallback, semantic caching, guardrails, and cost tracking come along for the ride. First 100K requests + 100K cache hits free every month.
agentcc / @agentcc/client). Per-call metadata — provider, cost, latency, cache hit, request id — is returned on x-agentcc-* response headers, so any HTTP client can read it.# OpenAI GPT Oss 120B via the Agent Command Center Python SDK
# pip install agentcc
import os
from agentcc import AgentCC
client = AgentCC(
api_key=os.environ["AGENTCC_API_KEY"], # from app.futureagi.com → Settings → API Keys
base_url="https://gateway.futureagi.com/v1",
)
resp = client.chat.completions.create(
model="watsonx/openai-gpt-oss-120b",
messages=[{"role": "user", "content": "Hello, OpenAI GPT Oss 120B!"}],
)
print(resp.choices[0].message.content)
print(f"Tokens: {resp.usage.total_tokens}")
# Per-call gateway metadata is returned on x-agentcc-* response headers.
# When you need it programmatically, use .with_raw_response to get them:
raw = client.chat.completions.with_raw_response.create(
model="watsonx/openai-gpt-oss-120b",
messages=[{"role": "user", "content": "Same call, but I want the headers."}],
)
print("Provider:", raw.headers.get("x-agentcc-provider"))
print("Latency:", raw.headers.get("x-agentcc-latency-ms"), "ms")
print("Cost: ", raw.headers.get("x-agentcc-cost"), "USD")
print("Cache: ", raw.headers.get("x-agentcc-cache"))AGENTCC_API_KEY with a key fromapp.futureagi.com.Gateway docs ↗Same model on other providers
openai-gpt-oss-120b is also available via 7 other routes. Pricing, regions, and capabilities can differ — compare before routing production traffic.
| Provider | Input / 1M | Output / 1M | Verified |
|---|---|---|---|
| DeepInfra | $0.0500/M | $0.450/M | May 12, 2026 |
| Groq | $0.150/M | $0.600/M | May 12, 2026 |
| Novita AI | $0.0500/M | $0.250/M | May 12, 2026 |
| Together AI | $0.150/M | $0.600/M | May 12, 2026 |
| OpenRouter | $0.180/M | $0.800/M | May 12, 2026 |
| W&B Inference | $15,000/M | $60,000/M | May 12, 2026 |
| Replicate | $0.180/M | $0.720/M | May 12, 2026 |
Compare with similar models
OpenAI GPT Oss 120B doesn't have a public Arena ELO score yet, so we group by provider only — quality-tier comparisons need a benchmark.
FAQ
How much does OpenAI GPT Oss 120B cost?
Input is priced at $0.150 per 1M tokens and output at $0.600 per 1M tokens (IBM watsonx, last verified May 12, 2026).
What is the context window of OpenAI GPT Oss 120B?
OpenAI GPT Oss 120B supports a 8,192-token context window with up to 8,192 output tokens.
Does OpenAI GPT Oss 120B support function calling?
OpenAI GPT Oss 120B does not currently advertise function-calling support. For agentic workloads, prefer a tool-calling-capable model and route via Agent Command Center for fallback.
Is OpenAI GPT Oss 120B good for production?
OpenAI GPT Oss 120B is best evaluated against your own production traces. Pipe traffic through Agent Command Center to compare it head-to-head against alternatives in shadow mode.
How can I route to OpenAI GPT Oss 120B with fallback?
Use Agent Command Center: a single OpenAI-compatible endpoint that supports cost-optimized routing, latency-aware retries, model fallback, and shadow traffic. Configure once, swap models without app changes.
Useful links for OpenAI GPT Oss 120B
Official sources, independent benchmarks, and pricing aggregators — no random search-engine guesses.
Third-party evals — verify the marketing.
Cross-check our number against the rest of the ecosystem.