Best cost/speed trade-off
wandb/fp4$0.0633 / 1M tokens
3.87 s estimated response
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openai/gpt-oss-20b
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...
At a glance
Based on 1,000 input and 500 output tokens using the latest published median speed data.
Best cost/speed trade-off
wandb/fp4$0.0633 / 1M tokens
3.87 s estimated response
Cheapest
wandb/fp4$0.0633 / 1M tokens
$0.000095 for the sample request
Fastest
groq1.21 s estimated response
$0.15 / 1M tokens
Visual comparison
Compare published endpoint pricing and estimated response time visually.
USD per 1 million tokens for input and output. Lower is better.
Weights & Biases has the lowest estimated cost for 1,000 input and 500 output tokens at $0.000095.
Based on 1,000 input and 500 output tokens. Cost is shown in USD per 1 million tokens. Lower and further left is better; the single best cost/speed trade-off appears at full opacity.
12 providers have complete pricing and speed data. Weights & Biases is closest to the ideal combination of lowest cost and fastest response.
Server-rendered comparison
Prompt and completion prices are effective USD per token as published by OpenRouter. Missing speed data never removes an endpoint.
| Provider / route | Current pricing ↗ | Speed measurements | Endpoint details |
|---|---|---|---|
| Provider / route DekaLLM dekallm/bf16 | Current pricing
| Speed measurements
| Endpoint details
15 parametersfrequency_penalty, include_reasoning, logit_bias, logprobs, max_tokens, presence_penalty, reasoning, reasoning_effort, response_format, seed, stop, structured_outputs, temperature, top_logprobs, top_p |
| Provider / route | Current pricing
| Speed measurements
| Endpoint details
18 parametersfrequency_penalty, include_reasoning, logprobs, max_tokens, presence_penalty, reasoning, reasoning_effort, repetition_penalty, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_k, top_logprobs, top_p |
| Provider / route DeepInfra deepinfra/bf16 | Current pricing
| Speed measurements
| Endpoint details
18 parametersfrequency_penalty, include_reasoning, logit_bias, max_tokens, min_p, presence_penalty, reasoning, reasoning_effort, repetition_penalty, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_k, top_p |
| Provider / route NovitaAI novita/fp4 | Current pricing
| Speed measurements
| Endpoint details
16 parametersfrequency_penalty, include_reasoning, logprobs, max_tokens, presence_penalty, reasoning, reasoning_effort, repetition_penalty, response_format, seed, stop, structured_outputs, temperature, top_k, top_logprobs, top_p |
| Provider / route Phala phala | Current pricing
| Speed measurements
| Endpoint details
13 parametersfrequency_penalty, include_reasoning, max_tokens, min_p, presence_penalty, reasoning, reasoning_effort, repetition_penalty, seed, stop, temperature, top_k, top_p |
| Provider / route SiliconFlow siliconflow/fp8 | Current pricing
| Speed measurements
| Endpoint details
10 parametersfrequency_penalty, include_reasoning, max_tokens, reasoning, reasoning_effort, response_format, structured_outputs, temperature, top_k, top_p |
| Provider / route Parasail parasail/fp4 | Current pricing
| Speed measurements
| Endpoint details
19 parametersfrequency_penalty, include_reasoning, logit_bias, logprobs, max_tokens, presence_penalty, reasoning, reasoning_effort, repetition_penalty, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_k, top_logprobs, top_p |
| Provider / route Together together | Current pricing
| Speed measurements
| Endpoint details
15 parametersfrequency_penalty, include_reasoning, logit_bias, max_tokens, min_p, presence_penalty, reasoning, reasoning_effort, repetition_penalty, response_format, stop, structured_outputs, temperature, top_k, top_p |
| Provider / route Amazon Bedrock amazon-bedrock/eu-west-1 | Current pricing
| Speed measurements
| Endpoint details
10 parametersinclude_reasoning, max_tokens, reasoning, reasoning_effort, stop, temperature, tool_choice, tools, top_k, top_p |
| Provider / route Amazon Bedrock amazon-bedrock | Current pricing
| Speed measurements
| Endpoint details
10 parametersinclude_reasoning, max_tokens, reasoning, reasoning_effort, stop, temperature, tool_choice, tools, top_k, top_p |
| Provider / route Google Vertex google-vertex/us-central1 | Current pricing
| Speed measurements
| Endpoint details
11 parametersinclude_reasoning, max_tokens, reasoning, reasoning_effort, repetition_penalty, response_format, seed, structured_outputs, temperature, top_k, top_p |
| Provider / route Fireworks fireworks | Current pricing
| Speed measurements
| Endpoint details
16 parametersfrequency_penalty, include_reasoning, logit_bias, max_tokens, presence_penalty, reasoning, reasoning_effort, repetition_penalty, response_format, stop, structured_outputs, temperature, tool_choice, tools, top_k, top_p |
| Provider / route | Current pricing
| Speed measurements
| Endpoint details
12 parametersinclude_reasoning, max_tokens, reasoning, reasoning_effort, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_p |
Endpoint data fetched .
gpt-oss-20b deployment guide
gpt-oss-20b is indexed here as a text model by OpenAI, with 13 provider endpoints from DekaLLM, Weights & Biases, DeepInfra, NovitaAI, Phala, and others. The comparison preserves each exact OpenRouter routing tag so pricing and performance observations can be connected to the route an application would actually request.
The model publishes a 131.1K-token context window. It accepts text input and returns text output. 20 distinct supported parameters appear across the listed routes. Confirm limits on the specific endpoint rather than assuming every host exposes the same configuration.
Weights & Biases currently has the lowest estimated cost for the standard 1,000-input/500-output-token sample at $0.000095. Input-heavy and output-heavy applications can produce a different result, so review both per-million-token prices in the endpoint table.
Groq currently has the shortest estimated 500-token response at 1.21 seconds. Weights & Biases is the single endpoint closest to the current ideal cost/speed combination. Recent observations can change, so validate finalists with your own prompts.