Best cost/speed trade-off
Parasail
parasail/fp8$0.4333 / 1M tokens
5.59 s estimated response
Qwen: Qwen3.6 35B A3B provider comparison
qwen/qwen3.6-35b-a3b
Qwen3.6-35B-A3B is an open-weight multimodal model from Alibaba Cloud with 35 billion total parameters and 3 billion active parameters per token. It uses a hybrid sparse mixture-of-experts architecture combining Gated...
- Endpoints:
- 6
- Context:
- 262.1K
- Input:
- text, image, video
- Output:
- text
At a glance
Comparison winners
Based on 1,000 input and 500 output tokens using the latest published median speed data.
Cheapest
DekaLLM
dekallm$0.42 / 1M tokens
$0.00063 for the sample request
Fastest
Weights & Biases
wandb/fp82.99 s estimated response
$0.5833 / 1M tokens
Visual comparison
Price and performance charts
Compare published endpoint pricing and estimated response time visually.
USD per 1 million tokens for input and output. Lower is better.
DekaLLM has the lowest estimated cost for 1,000 input and 500 output tokens at $0.00063.
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.
6 providers have complete pricing and speed data. Parasail is closest to the ideal combination of lowest cost and fastest response.
Server-rendered comparison
Provider endpoints
Prompt and completion prices are effective USD per token as published by OpenRouter. Missing speed data never removes an endpoint.
Rank providers by
| Provider / route | Current pricing ↗ | Speed measurements | Endpoint details |
|---|---|---|---|
| Provider / route | Current pricing
| Speed measurements
| Endpoint details
12 parametersfrequency_penalty, include_reasoning, logit_bias, max_tokens, presence_penalty, reasoning, response_format, seed, stop, structured_outputs, temperature, top_p |
| Provider / route AkashML akashml/fp8 | Current pricing
| Speed measurements
| Endpoint details
17 parametersfrequency_penalty, include_reasoning, logprobs, max_tokens, presence_penalty, reasoning, repetition_penalty, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_k, top_logprobs, top_p |
| Provider / route | Current pricing
| Speed measurements
| Endpoint details
18 parametersfrequency_penalty, include_reasoning, logit_bias, logprobs, max_tokens, presence_penalty, reasoning, repetition_penalty, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_k, top_logprobs, top_p |
| Provider / route AtlasCloud atlas-cloud/fp8 | Current pricing
| Speed measurements
| Endpoint details
15 parametersfrequency_penalty, include_reasoning, logit_bias, max_tokens, min_p, presence_penalty, reasoning, repetition_penalty, response_format, seed, temperature, tool_choice, tools, top_k, top_p |
Provider / route SiliconFlow siliconflow/fp8 | Current pricing
| Speed measurements
| Endpoint details
11 parametersfrequency_penalty, include_reasoning, max_tokens, presence_penalty, reasoning, repetition_penalty, response_format, structured_outputs, temperature, top_k, top_p |
| Provider / route | Current pricing
| Speed measurements
| Endpoint details
15 parametersfrequency_penalty, include_reasoning, logprobs, max_tokens, presence_penalty, reasoning, repetition_penalty, response_format, seed, stop, structured_outputs, temperature, top_k, top_logprobs, top_p |
Endpoint data fetched .
Qwen3.6 35B A3B deployment guide
How to choose a Qwen3.6 35B A3B inference provider
Qwen3.6 35B A3B is indexed here as a text model by Qwen, with 6 provider endpoints from DekaLLM, AkashML, Parasail, AtlasCloud, SiliconFlow, 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.
Match the endpoint to the workload
The model publishes a 262.1K-token context window. It accepts text, image, video input and returns text output. 19 distinct supported parameters appear across the listed routes. Confirm limits on the specific endpoint rather than assuming every host exposes the same configuration.
Compare the real request economics
DekaLLM currently has the lowest estimated cost for the standard 1,000-input/500-output-token sample at $0.00063. Input-heavy and output-heavy applications can produce a different result, so review both per-million-token prices in the endpoint table.
Balance response start and generation speed
Weights & Biases currently has the shortest estimated 500-token response at 2.99 seconds. Parasail is the single endpoint closest to the current ideal cost/speed combination. Recent observations can change, so validate finalists with your own prompts.