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Qwen3 Coder API pricing

2 providers serve Qwen3 Coder. Qwen3 Coder is an open-weight model (Apache-2.0) with 480B total parameters, 35B active per token (mixture-of-experts), up to 262K context. Prices below are per 1M tokens, cheapest input first (self-hosting math further down).

Refreshed 2026-08-23 · list prices from provider APIs
Input floor $0.220/1M at OpenRouter Output floor $0.950/1M at OpenRouter Find your workload winner →
Provider Input $/1M Output $/1M Cache read $/1M Context
OpenRouter $0.220 $0.950output floor - 262K Use
Vercel AI Gateway $0.400 $1.60 - 262K Use

The cheapest way to run Qwen3 Coder

On an illustrative 70M-input / 30M-output monthly workload, today's lowest listed cost is roughly $43.90/month, at OpenRouter. Input-heavy, output-heavy and cache-heavy workloads can produce different winners. Use the live mix calculator below rather than combining floors from two different providers. On output-token cost alone, the API floor remains below our self-hosting estimate of ~$0.960/1M. Details below. Run your own numbers in the breakeven calculator, or read the breakeven math.

Your actual monthly cost

Uses today's list prices

Cache read uses the listed cache rate where available; otherwise it falls back to normal input price. Batch, write-cache, volume and negotiated discounts are excluded.

Or run it yourself: Qwen3 Coder self-hosting economics

Qwen3 Coder is open-weight (Apache-2.0), so the API price above competes with the GPU-hour market. 480B total parameters (MoE, ~35B active per token) needs roughly 660 GB VRAM at FP8 or 330 GB at INT4, KV-cache headroom included.

No single GPU fits Qwen3 Coder at FP8 (660 GB needed), so it needs a multi-GPU node. Cheapest tracked option: 4× MI300X (192 GB each) at roughly $2.00/hr total (RunPod). Rent 4× MI300X at RunPod → INT4 quantization drops the requirement to 330 GB. Tune it in the calculator.
Breakeven estimate: a well-batched vLLM deployment on 4× MI300X ($2.00/hr) at ~1157 aggregate tok/s and 50% utilization works out to roughly $0.960 per 1M output tokens, versus $0.950 via the cheapest output-token API (OpenRouter). The API is cheaper unless your utilization or throughput beats these assumptions. Planning estimate: throughput varies with hardware, quantization, batch size and context. Tune it in the calculator.

Related models

ModelCheapest in $/1MCheapest out $/1MProviders
Qwen3 235B A22B $0.071 $0.100 10
Qwen3 32B $0.050 $0.100 9
Qwen3 30B A3B $0.051 $0.200 7
Qwen3 Next 80B A3B Instruct $0.100 $0.900 7
Qwen3 Next 80B A3B Thinking $0.140 $0.900 7
Qwen3-Coder-480b-A35b-Instruct $0.220 $1.30 6

FAQ

What is the cheapest API for Qwen3 Coder?

As of 2026-08-23, the lowest input price for Qwen3 Coder is OpenRouter at $0.220 per 1M input tokens. The lowest output price is OpenRouter at $0.950 per 1M output tokens. The cheapest provider for a real workload depends on its input/output mix. The next-lowest input price is Vercel AI Gateway at $0.400, a 82% difference.

How much VRAM do you need to self-host Qwen3 Coder?

Qwen3 Coder has 480B parameters, so plan for roughly 660 GB of VRAM at FP8 or 330 GB at INT4/AWQ, KV-cache headroom included. That exceeds a single GPU. A typical node is 4× MI300X.

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