Qwen: Qwen3 Coder 480B A35B provider comparison

qwen/qwen3-coder

Qwen3-Coder-480B-A35B-Instruct is a Mixture-of-Experts (MoE) code generation model developed by the Qwen team. It is optimized for agentic coding tasks such as function calling, tool use, and long-context reasoning over...

Endpoints:: 6
Context:: 1M
Input:: text
Output:: text

Compare this model in a set →

At a glance

Comparison winners

Based on 1,000 input and 500 output tokens using the latest published median speed data.

Best cost/speed trade-off

DeepInfradeepinfra/turbo

$0.5333 / 1M tokens

11.07 s estimated response

Cheapest

DeepInfradeepinfra/turbo

$0.5333 / 1M tokens

$0.0008 for the sample request

Fastest

Weights & Biaseswandb/bf16

11.06 s estimated response

$1.1667 / 1M tokens

Visual comparison

Price and performance charts

Compare published endpoint pricing and estimated response time visually.

Effective price by endpoint

USD per 1 million tokens for input and output. Lower is better.

DeepInfra has the lowest estimated cost for 1,000 input and 500 output tokens at $0.0008.

Estimated cost vs. response time

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. DeepInfra 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

Endpoint comparison for Qwen: Qwen3 Coder 480B A35B
Provider / route	Current pricing ↗	Speed measurements	Endpoint details
Provider / route Google Vertex`google-vertex/us-south1`	Current pricing Input price $0.22 / 1M tokens Output price $1.8 / 1M tokens Sample cost $0.00112	Speed measurements 500-token response 68.36 s Response starts 12.81 s Output speed 9.0 tok/s	Endpoint details Uptime (30 min) Insufficient recent data Context 262.1K Model format unknown Max output 65.5K 15 parameters frequency_penalty, logprobs, max_tokens, presence_penalty, repetition_penalty, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_k, top_logprobs, top_p
Provider / route DeepInfra`deepinfra/turbo` CheapestBest cost/speed trade-off	Current pricing Input price $0.3 / 1M tokens Output price $1 / 1M tokens Sample cost $0.0008	Speed measurements 500-token response 11.07 s Response starts 1.07 s Output speed 50.0 tok/s	Endpoint details Uptime (30 min) 99.64% Context 262.1K Model format fp4 Max output 65.5K 15 parameters frequency_penalty, logit_bias, max_tokens, min_p, presence_penalty, repetition_penalty, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_k, top_p
Provider / route Venice`venice/fp8`	Current pricing Input price $0.35 / 1M tokens Output price $1.5 / 1M tokens Sample cost $0.0011	Speed measurements 500-token response 22.39 s Response starts 0.65 s Output speed 23.0 tok/s	Endpoint details Uptime (30 min) Insufficient recent data Context 256K Model format fp8 Max output 65.5K 11 parameters frequency_penalty, max_tokens, presence_penalty, response_format, stop, structured_outputs, temperature, tool_choice, tools, top_k, top_p
Provider / route NovitaAI`novita/fp8`	Current pricing Input price $0.38 / 1M tokens Output price $1.55 / 1M tokens Sample cost $0.001155	Speed measurements 500-token response 23.72 s Response starts 1.98 s Output speed 23.0 tok/s	Endpoint details Uptime (30 min) 100.00% Context 262.1K Model format fp8 Max output 65.5K 13 parameters frequency_penalty, max_tokens, presence_penalty, repetition_penalty, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_k, top_p
Provider / route Alibaba Cloud Int.`alibaba/opensource`	Current pricing Input price $0.975 / 1M tokens Output price $4.88 / 1M tokens Sample cost $0.0034125 Discount 35.0%	Speed measurements 500-token response 16.97 s Response starts 0.84 s Output speed 31.0 tok/s	Endpoint details Uptime (30 min) Insufficient recent data Context 262.1K Model format unknown Max output 65.5K 11 parameters logprobs, max_tokens, presence_penalty, response_format, seed, structured_outputs, temperature, tool_choice, tools, top_logprobs, top_p
Provider / route Weights & Biases`wandb/bf16` Fastest	Current pricing Input price $1 / 1M tokens Output price $1.5 / 1M tokens Sample cost $0.00175	Speed measurements 500-token response 11.06 s Response starts 0.65 s Output speed 48.0 tok/s	Endpoint details Uptime (30 min) Insufficient recent data Context 262.1K Model format bf16 Max output 262.1K 15 parameters frequency_penalty, logprobs, max_tokens, presence_penalty, repetition_penalty, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_k, top_logprobs, top_p

Endpoint data fetched Jul 15, 2026, 11:17 PM UTC.

Qwen3 Coder 480B A35B deployment guide

How to choose a Qwen3 Coder 480B A35B inference provider

Qwen3 Coder 480B A35B is indexed here as a text model by Qwen, with 6 provider endpoints from Google Vertex, DeepInfra, Venice, NovitaAI, Alibaba Cloud Int., 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 1M-token context window. It accepts text input and returns text output. 17 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

DeepInfra currently has the lowest estimated cost for the standard 1,000-input/500-output-token sample at $0.0008. 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 11.06 seconds. DeepInfra is the single endpoint closest to the current ideal cost/speed combination. Recent observations can change, so validate finalists with your own prompts.