DeepSeek R1 Distill Qwen 32B API pricing

5 providers serve DeepSeek R1 Distill Qwen 32B. DeepSeek R1 Distill Qwen 32B is an open-weight model (MIT) with 32.8B total parameters, up to 131K 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 $0.150/1M at Nscale Output floor $0.150/1M at Nscale Find your workload winner →
Provider Input $/1M Output $/1M Cache read $/1M Context
Nscale $0.150 $0.150output floor - - Use
DeepInfra $0.270 $0.270 - 131K Use
Novita AI $0.300 $0.300 - 64K Use
Cloudflare $0.497 $4.88 - 80K Use
Fireworks AI $0.900 $0.900 - 131K Use

The cheapest way to run DeepSeek R1 Distill Qwen 32B

On an illustrative 70M-input / 30M-output monthly workload, today's lowest listed cost is roughly $15.00/month, at Nscale. 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 ~$0.290/1M. 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: DeepSeek R1 Distill Qwen 32B self-hosting economics

DeepSeek R1 Distill Qwen 32B is open-weight (MIT), so the API price above competes with the GPU-hour market. 32.8B total parameters needs roughly 46 GB VRAM at FP8 or 23 GB at INT4, KV-cache headroom included.

GPU that fits (FP8, single card)VRAMFrom $/hrCheapest at
A6000 48 GB $0.287marketplace Vast.ai Rent
A40 48 GB $0.350community RunPod Rent
6000 Ada 48 GB $0.388marketplace Vast.ai Rent
L40 48 GB $0.402marketplace Vast.ai Rent
A100 PCIe 80 GB $0.442marketplace Vast.ai Rent
L40S 48 GB $0.467marketplace Vast.ai Rent
Breakeven estimate: a well-batched vLLM deployment on one A6000 ($0.287/hr) at ~549 aggregate tok/s and 50% utilization works out to roughly $0.290 per 1M output tokens, versus $0.150 via the cheapest output-token API (Nscale). 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
DeepSeek R1 $0.200 $0.400 17
DeepSeek V3 $0.200 $0.200 16
DeepSeek R1 Distill Llama 70B $0.200 $0.375 10
DeepSeek V3.2 $0.269 $0.400 9
DeepSeek-V3.1 $0.270 $1.00 9
DeepSeek V4 Flash $0.050 $0.101 9

FAQ

What is the cheapest API for DeepSeek R1 Distill Qwen 32B?

As of 2026-08-23, the lowest input price for DeepSeek R1 Distill Qwen 32B is Nscale at $0.150 per 1M input tokens. The lowest output price is Nscale at $0.150 per 1M output tokens. The cheapest provider for a real workload depends on its input/output mix. The next-lowest input price is DeepInfra at $0.270, a 80% difference.

How much VRAM do you need to self-host DeepSeek R1 Distill Qwen 32B?

DeepSeek R1 Distill Qwen 32B has 32.8B parameters, so plan for roughly 46 GB of VRAM at FP8 or 23 GB at INT4/AWQ, KV-cache headroom included. A single A6000 (48 GB) fits it.

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