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Favicon for openai

OpenAI: gpt-oss-120b (nitro)

openai/gpt-oss-120b:nitro

Model weights
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gpt-oss-120b is an open-weight, 117B-parameter Mixture-of-Experts (MoE) language model from OpenAI designed for high-reasoning, agentic, and general-purpose production use cases. It activates 5.1B parameters per forward pass and is optimized to run on a single H100 GPU with native MXFP4 quantization. The model supports configurable reasoning depth, full chain-of-thought access, and native tool use, including function calling, browsing, and structured output generation.

Modalities

In / Out Price

$0.03 / $0.17per 1M

Context

131K

Released

Aug 5, 2025

Knowledge Cutoff

Jun 2024

Compare
ProvidersPricingPerformanceUptimeBenchmarksAppsActivityFAQExplore

Providers

Different companies host the same model. OpenRouter routes your request to one of them based on the routing mode you pick — Balanced (price + speed), Nitro (fastest), or Exacto (highest tool-calling accuracy).

Pricing

The average price customers actually pay for this model, next to the prices providers post. Caching and discounts mean the price actually paid is often well below the listed one.

Performance

Throughput is how fast the model writes (tokens per second — higher is better). Latency is total round-trip time (lower is better). TTFT is time-to-first-token — how long before you see anything appear (lower is better).

Uptime

Uptime is the percentage of the past 3 days that at least one provider was responding to requests. Availability is the percentage of time that inference was successfully served. OpenRouter continuously monitors and uses the next-best provider when one returns an error.

Benchmarks

Scores on standardized evaluations. Higher percentages are better — and rank percentile shows where this model lands among all models on OpenRouter.

Apps

Public apps that send the most traffic to this model. Good signal for what real production workloads look like — and a hint at which use cases this model is best suited for.

Activity

Token volume and request traffic to this model over time.

Quick Start

Drop-in code to call this model. OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. The only thing that changes between models is the model slug below.

Explore more models

AI Model RankingsRanking
ProviderInput /MOutput /MCache read /MLatencyThroughputUptime
$0.35$0.75$0.350.23s731 tps
100.00%
$0.14$0.95--0.69s435 tps
98.87%
$0.15$0.60$0.0750.14s344 tps
99.99%
$0.15$0.60--0.22s211 tps
99.67%
$0.15$0.60--0.54s208 tps
100.00%
$0.15$0.60--0.58s199 tps
--
$0.10$0.50$0.100.27s198 tps
100.00%
$0.10$0.50$0.100.27s196 tps
100.00%
$0.09$0.36--0.29s189 tps
99.95%
$0.15$0.60--0.43s165 tps
99.94%
$0.20$0.95--1.77s112 tps
80.05%
$0.15$0.60--0.26s107 tps
96.88%
$0.10$0.75$0.0550.57s106 tps
99.98%
$0.055$0.50--0.60s69 tps
97.97%
$0.15$0.60--1.12s68 tps
96.53%
$0.05$0.25--1.03s67 tps
95.28%
$0.03$0.17$0.030.60s55 tps
99.98%
$0.055$0.385$0.020.51s42 tps
99.99%
$0.03$0.17$0.030.46s37 tps
99.94%
$0.037$0.17--0.65s35 tps
99.94%
$0.15$0.60$0.0752.64s24 tps
95.83%
$0.03$0.18--1.04s17 tps
98.46%
$0.15$0.75--2.07s128 tps
63.20%

Throughput

731tok/s

P50, best across providers

Latency

0.14s

P50, best provider

AutoExacto Benchmarks
GPQA DiamondTAU-BenchAmazon Bedrock76.0%--Amazon Bedrock74.3%--Parasail75.7%66.3%DigitalOcean70.9%--AkashML76.1%65.1%Phala70.6%--
+14 more providers
Uptime (3d)The model was reachable. Request routed to a provider.

100.00%

Availability (3d)The model returned inference from any provider. Errors and empty responses count against it.

99.70%

Availability over the last 3 days

Last 72 hours
Availability 99.70%
3 Days Ago2 Days AgoYesterdayNow

Availability over the last 24 hours

OpenRouter Availability
99.79%
Without Routing
81.62%

When an error occurs in an upstream provider, we can recover by routing to another healthy provider, if your request filters allow it. You can access per-provider uptime data programmatically through the Endpoints API. Learn more about our load balancing and customization options.

1.
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Mira
Mira is a Telegram-native AI assistant.
121Btokens
2.
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cvi-magic-tasks-ai-tagging
new
35Btokens
3.
Favicon for https://craftrpgs.com/?utm_source=openrouter
Craft
Build and play AI RPGs
14.2Btokens
4.
Favicon for https://github.com/your-org/cft-question-answering
IntelliProcure-NLP
new
14.1Btokens
5.
Favicon for https://app.makemycv.com/
MakeMyCV
new
10.7Btokens

Frequently asked questions

gpt-oss-120b is an open-weight, 117B-parameter Mixture-of-Experts (MoE) language model from OpenAI designed for high-reasoning, agentic, and general-purpose production use cases. It activates 5.1B parameters per forward pass and is optimized to run on a single H100 GPU with native MXFP4 quantization.

gpt-oss-120b costs $0.03/M input tokens and $0.17/M output tokens, with separate rates for Cache Read at $0.03/M tokens.

gpt-oss-120b has a 131,072 token context window. It supports up to 131,072 completion tokens.

Yes. gpt-oss-120b accepts tools and tool_choice for function calling. It also supports structured outputs via a JSON schema in response_format.

gpt-oss-120b is served by 19 providers on OpenRouter: AkashML, CoreWeave, DekaLLM, DeepInfra (fp8), NovitaAI, DigitalOcean, Mancer, Google Vertex and 11 more. Requests are routed to the best available provider, with automatic failover to the others, and you can pin or exclude providers with provider routing.

gpt-oss-120b was released on August 5, 2025. Its knowledge cutoff is June 30, 2024.