OpenAI: gpt-oss-20b (nitro)
openai/gpt-oss-20b:nitro
Model weightsgpt-oss-20b is an open-weight 21B parameter model released by OpenAI under the Apache 2.0 license. It uses a Mixture-of-Experts (MoE) architecture with 3.6B active parameters per forward pass, optimized for lower-latency inference and deployability on consumer or single-GPU hardware. The model is trained in OpenAI’s Harmony response format and supports reasoning level configuration, fine-tuning, and agentic capabilities including function calling, tool use, and structured outputs.
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 Floor (cheapest).
| Provider | Input /M | Output /M | Cache read /M | Latency | Throughput | Uptime |
|---|---|---|---|---|---|---|
| $0.070 | $0.15 | -- | 0.34s | 426 tok/s | ||
| $0.075 | $0.30 | $0.0375 | 0.29s | 421 tok/s | ||
| $0.030 | $0.13 | $0.0300 | 0.19s | 179 tok/s | ||
| $0.020 | $0.03 | $0.0180 | 0.47s | 135 tok/s | ||
| $0.070 | $0.15 | -- | 0.51s | 118 tok/s | ||
| $0.018 | $0.09 | $0.0090 | 0.80s | 104 tok/s | ||
| $0.030 | $0.14 | -- | 0.32s | 98 tok/s | ||
| $0.029 | $0.14 | $0.0290 | 0.49s | 79 tok/s | ||
| $0.040 | $0.18 | -- | 1.15s | 72 tok/s | ||
| $0.018 | $0.09 | $0.0090 | 0.71s | 68 tok/s | ||
| $0.030 | $0.15 | $0.0200 | 1.42s | 66 tok/s |
- Input $0.07 / Output $0.15426 tok/s100.00% uptime
- Input $0.075 / Output $0.30421 tok/s99.97% uptime
- Input $0.03 / Output $0.13179 tok/s100.00% uptime
- Input $0.02 / Output $0.03135 tok/s99.89% uptime
- Input $0.07 / Output $0.15118 tok/s100.00% uptime
- Input $0.018 / Output $0.09104 tok/s99.56% uptime
Input $0.03 / Output $0.1498 tok/s99.77% uptime- Input $0.029 / Output $0.1479 tok/s98.05% uptime
- Input $0.04 / Output $0.1872 tok/s95.63% uptime
Input $0.018 / Output $0.0968 tok/s99.89% uptime- Input $0.03 / Output $0.1566 tok/s98.14% uptime
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.
Weighted average
gpt-oss-20b — Price history
| $0.0150 | $0.0896 | 30.9% | 3.9% | ||
| $0.0156 | $0.0887 | 23.8% | 8.0% | ||
| $0.0206 | $0.0322 | 40.5% | 4.0% | ||
| $0.0244 | $0.1495 | 54.0% | 2.6% | ||
| $0.0289 | $0.1394 | 41.9% | 0.5% | ||
| $0.0298 | $0.1390 | 0.0% | 14.3% | ||
| $0.0299 | $0.1294 | 19.4% | 26.1% | ||
| $0.0397 | $0.1793 | 0.0% | 0.3% | ||
| $0.0614 | $0.2992 | 35.8% | 29.2% | ||
| $0.0699 | $0.1492 | 0.0% | 10.2% | ||
| $0.0699 | $0.1492 | 0.0% | 0.9% |
- Effective in $0.0150 / Effective out $0.0896Token share3.9%
- Effective in $0.0156 / Effective out $0.0887Token share8.0%
- Effective in $0.0206 / Effective out $0.0322Token share4.0%
- Effective in $0.0244 / Effective out $0.1495Token share2.6%
- Effective in $0.0289 / Effective out $0.1394Token share0.5%
- Effective in $0.0298 / Effective out $0.1390Token share14.3%
- Effective in $0.0299 / Effective out $0.1294Token share26.1%
- Effective in $0.0397 / Effective out $0.1793Token share0.3%
- Effective in $0.0614 / Effective out $0.2992Token share29.2%
- Effective in $0.0699 / Effective out $0.1492Token share10.2%
- Effective in $0.0699 / Effective out $0.1492Token share0.9%
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).
P50, best across providers
P50, best provider
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.
Availability over the last 3 days
Last 72 hoursAvailability over the last 24 hours
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 provider routing options.
Benchmarks
Scores on standardized evaluations and this model’s own outputs on shared benchmark prompts. Higher percentages are better — and each rank shows where this model lands among the models evaluated on that source.
| Source | Benchmark | Score |
|---|---|---|
| Artificial Analysis | gpt-oss-20b (Low) GPQA Diamond | 61.1% |
| Artificial Analysis | gpt-oss-20b (Low) HLE | 5.3% |
| Artificial Analysis | gpt-oss-20b (Low) IFBench | 57.8% |
| Artificial Analysis | gpt-oss-20b (Low) τ²-Bench Telecom | 50.3% |
| Artificial Analysis | gpt-oss-20b (Low) AA-LCR | 31.0% |
| Artificial Analysis | gpt-oss-20b (Low) CritPt | 0.0% |
| Artificial Analysis | gpt-oss-20b (Low) LiveCodeBench | 65.2% |
| Artificial Analysis | gpt-oss-20b (Low) Terminal-Bench Hard | 4.5% |
| Artificial Analysis | gpt-oss-20b (Low) MMLU-Pro | 71.8% |
| Artificial Analysis | gpt-oss-20b (Low) AIME 2025 | 62.3% |
| Artificial Analysis | gpt-oss-20b (High) Coding Index | 20.7 |
| Artificial Analysis | gpt-oss-20b (High) Agentic Index | 1.2 |
| Artificial Analysis | gpt-oss-20b (High) GPQA Diamond | 68.8% |
| Artificial Analysis | gpt-oss-20b (High) HLE | 11.0% |
| Artificial Analysis | gpt-oss-20b (High) IFBench | 65.1% |
| Artificial Analysis | gpt-oss-20b (High) τ²-Bench Telecom | 60.2% |
| Artificial Analysis | gpt-oss-20b (High) AA-LCR | 34.7% |
| Artificial Analysis | gpt-oss-20b (High) τ-Bench Banking | 7.0% |
| Artificial Analysis | gpt-oss-20b (High) GDPval-AA | 0.0% |
| Artificial Analysis | gpt-oss-20b (High) CritPt | 1.4% |
| Artificial Analysis | gpt-oss-20b (High) LiveCodeBench | 77.7% |
| Artificial Analysis | gpt-oss-20b (High) SciCode | 38.9% |
| Artificial Analysis | gpt-oss-20b (High) Terminal-Bench Hard | 10.6% |
| Artificial Analysis | gpt-oss-20b (High) Terminal-Bench 4.0 | 0.0% |
| Artificial Analysis | gpt-oss-20b (High) Terminal-Bench 2.1 | 13.9% |
| Artificial Analysis | gpt-oss-20b (High) MMLU-Pro | 74.8% |
| Artificial Analysis | gpt-oss-20b (High) AIME 2025 | 89.3% |
| Design Arena | GPT OSS 20B Models Arena Data Visualization Elo | 933 |
| Design Arena | GPT OSS 20B Models Arena Website Elo | 844 |
| Vals AI | GPT OSS 20B AIME | 86.0% |
| Vals AI | GPT OSS 20B CaseLaw v2 | 43.8% |
| Vals AI | GPT OSS 20B CorpFin v2 | 53.1% |
| Vals AI | GPT OSS 20B GPQA Diamond | 68.9% |
| Vals AI | GPT OSS 20B LiveCodeBench | 80.4% |
| Vals AI | GPT OSS 20B LegalBench | 70.8% |
| Vals AI | GPT OSS 20B MATH 500 | 94.2% |
| Vals AI | GPT OSS 20B MedQA | 82.9% |
| Vals AI | GPT OSS 20B MGSM | 89.0% |
| Vals AI | GPT OSS 20B MMLU Pro | 71.6% |
| Vals AI | GPT OSS 20B TaxEval v2 | 63.7% |
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.
API
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.
Available through EU in-region routing
OpenAI: gpt-oss-20b (nitro) is available through EU in-region routing. Requests sent to eu.openrouter.ai are decrypted in the EU and routed only to shared provider endpoints in Europe (the EU/EEA, the UK, and Switzerland).
- Providers in Europe
- Amazon Bedrock
- Prices in Europe
- Amazon Bedrock: $0.07/M tokens input, $0.15/M tokens output
- Base URL
https://eu.openrouter.ai/api/v1- Plan
- Requires Business or Enterprise. Self-serve on Business: no contract, no monthly minimum. OpenRouter Business for EU in-region routing
Fails closed: if no shared provider endpoint in Europe is available, the request errors instead of leaving the region. Requests served by your own BYOK key go to your deployment’s region, which you control. In-region routing docs
Frequently asked questions
gpt-oss-20b is an open-weight 21B parameter model released by OpenAI under the Apache 2.0 license. It uses a Mixture-of-Experts (MoE) architecture with 3.6B active parameters per forward pass, optimized for lower-latency inference and deployability on consumer or single-GPU hardware.
gpt-oss-20b costs $0.018/M input tokens and $0.09/M output tokens, with separate rates for Cache Read at $0.009/M tokens.
gpt-oss-20b has a 131,072 token context window. It supports up to 131,072 completion tokens.
Yes. gpt-oss-20b accepts tools and tool_choice for function calling on 9 of the 10 providers serving it, and requests that send tools are routed to those providers. It also supports structured outputs via a JSON schema in response_format.
gpt-oss-20b is served by 10 providers on OpenRouter: Darkbloom, AkashML, Prime Intellect, DekaLLM, CoreWeave, DeepInfra, Parasail, SiliconFlow and 2 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-20b was released on August 5, 2025. Its knowledge cutoff is June 30, 2024.