Pricing to seamlessly scale from idea to enterprise

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Serverless Inference

Get started in seconds with per token pricing, zero setup and no cold starts

See Pricing

Fine Tuning

Customize open models with your own data with minimal setup

See Pricing

On Demand Deployments

Pay per GPU second for faster speeds, higher rate limits, and lower costs at scale

See Pricing

Serverless Pricing

Pay per token, with high rate limits and postpaid billing. Get started with $1 in free credits!

Text and Vision

Base model	$ / 1M tokens
Less than 4B parameters	$0.10
4B - 16B parameters	$0.20
More than 16B parameters	$0.90
MoE 0B - 56B parameters (e.g. Mixtral 8x7B)	$0.50
MoE 56.1B - 176B parameters (e.g. DBRX, Mixtral 8x22B)	$1.20
DeepSeek V3 family	$0.90
DeepSeek R1 0528	$1.35 input, $5.4 output
GLM-4.5	$0.55 input, $2.19 output
Meta Llama 3.1 405B	$3.00
Meta Llama 4 Maverick (Basic)	$0.22 input, $0.88 output
Meta Llama 4 Scout (Basic)	$0.15 input, $0.60 output
Qwen3 235B Family and GLM-4.5 Air	$0.22 input, $0.88 output
Qwen3 30B and Qwen Coder Flash	$0.15 input, $0.60 output
Kimi K2 Instruct	$0.60 input, $2.50 output
Qwen3 Coder 480B	$0.45 input, $1.80 output
OpenAI gpt-oss-120b	$0.15 input, $0.60 output
OpenAI gpt-oss-20b	$0.07 input, $0.30 output

Discounts for prompt caching are available for enterprise deployments. Contact us to learn more.

Batch inference is priced at 50% of our serverless pricing for both input and output tokens. Learn more here.

Speech to Text (STT)

Pay per second of audio input

Model	$ / audio minute (billed per second)
Whisper-v3-large	$0.0015
Whisper-v3-large-turbo	$0.0009
Streaming ASR v1	$0.0032
Streaming ASR v2	$0.0035

Diarization adds a 40% surcharge to pricing
Batch API prices are reduced 40%

Image Generation

Image model name	$ / step	Approx $ / image
All Non-Flux Models (SDXL, Playground, etc)	$0.00013 per step ($0.0039 per 30 step image)	$0.0002 per step ($0.006 per 30 step image)
FLUX.1 [dev]	$0.0005 per step ($0.014 per 28 step image)	N/A on serverless
FLUX.1 [schnell]	$0.00035 per step ($0.0014 per 4 step image)	N/A on serverless
FLUX.1 Kontext Pro	$0.04 per image	N/A
FLUX.1 Kontext Max	$0.08 per image	N/A

All models besides the Flux Kontext models are charged by the number of inference steps (denoising iterations). The Flux Kontext models are charged a flat rate per generated image.

Embeddings

Base model parameter count	$ / 1M input tokens
up to 150M	$0.008
150M - 350M	$0.016

Fine Tuning Pricing

Pay per training token. Inference for fine-tuned models costs the same as the base models

Fine Tuning

Base Model	$ / 1M training tokens
Models up to 16B parameters	$0.50
Models 16.1B - 80B	$3.00
Models 80B - 300B (e.g. Qwen3-235B, gpt-oss-120B)	$6.00
Models >300B (e.g. DeepSeek V3, Kimi K2)	$10.00

Fine-tuning with images (VLM supervised fine-tuning) is billed per token as well. See this FAQ on calculating image tokens.

There is no additional cost for storing LoRA fine-tunes up to the quota for an account.

On-Demand Pricing

Pay per GPU second, with no extra charges for start-up times

On demand deployments

GPU Type	$ / hour (billed per second)
A100 80 GB GPU	$2.90
H100 80 GB GPU	$4.00
H200 141 GB GPU	$6.00
B200 180 GB GPU	$9.00

For estimates of per-token prices, see this blog. Results vary by use case, but we often observe improvements like ~250% higher throughput and 50% faster speed on Fireworks compared to open source inference engines.