SylphxModels

Pricing

You pay for tokens. The prices are published.

Every model in the catalog has a list price per million tokens for input, cached input, and output. The same numbers appear on the model page, in the rate sheet below, and on the usage the Sylphx console reports — so a bill is never a surprise.

Get an API keyBrowse models
Models listed6413 providers
Cheapest input$0.01155qwen/qwen3-embedding-8b
Largest context1.05Mtokens per request
MeteringPer tokenon every Responses call

Estimate a monthly bill

Pick a model and a token mix. The estimate uses the same list prices as the rate sheet — no rounding tricks, no hidden platform fee in the number.

2,000,000 tokens

500,000 tokens

Estimated spend

$1.57

Input side

$0.85

Output side

$0.72

Estimate only: it uses today’s list prices for the selected model and assumes every token is billed at the input or output rate. Cached input is cheaper than the input rate, and failed requests that return an error status are not billed as completions.

How usage is metered

  • One meter on Responses. Each response reports the input and output tokens it used, and that count is what the price applies to.
  • Cached input is discounted. When a request reuses a prompt prefix, the cached tokens are billed at the cached-input rate shown for that model.
  • Retries do not double-bill. Send an Idempotency-Key and a retried create replays the original response instead of charging again.
  • Read your own numbers. The Sylphx console shows requests, tokens, and settled spend for the workspace, broken down by model.
  • These are our own prices. We sell each model at the rate on this page, and the meter bills the same numbers — one rate sheet, no per-model markup table to decode and no fee added at checkout.

Charged against your Sylphx API key at https://api.sylphx.ai/v1. Keys are prefixed sylphx_sk_ and can be revoked at any time in the Sylphx console.

The rate sheet

USD per million tokens, per model. Cached input is what you pay when a prefix is reused; the percentage under it is the saving against the input rate.

64 of 64 models
Sylphx AI list prices per million tokens for every listed model
ModelInput / MCached input / MOutput / MContextEst. mix / M
Claude Fable 5.1 (anthropic/claude-fable-5.1)anthropic/claude-fable-5.1$10.00$0.25−98%$50.001.0M~$20.00
Claude Haiku 5.5 (anthropic/claude-haiku-5.5)anthropic/claude-haiku-5.5new$0.5775$0.05775−90%$2.8881.0M~$1.155
Claude Opus 5.5 (anthropic/claude-opus-5.5)anthropic/claude-opus-5.5$4.62$0.231−95%$23.101.0M~$9.24
Claude Sonnet 5.5 (anthropic/claude-sonnet-5.5)anthropic/claude-sonnet-5.5$2.31$0.1155−95%$11.551.0M~$4.62
DeepSeek V4 Pro (deepseek/deepseek-v4-pro)deepseek/deepseek-v4-pro$1.04$0.2888−72%$1.981.05M~$1.275
DeepSeek V4.1 Flash (deepseek/deepseek-v4.1-flash)deepseek/deepseek-v4.1-flash$0.3$0.006−98%$1.201.05M~$0.525
DeepSeek V4.1 Flash 1017 (deepseek/deepseek-v4.1-flash-1017)deepseek/deepseek-v4.1-flash-1017new$0.3465$0.008085−98%$1.3861.05M~$0.6064
Eleven Flash V2 (elevenlabs/eleven-flash-v2)elevenlabs/eleven-flash-v2$23.10—$0—~$17.325
Eleven Multilingual V2 (elevenlabs/eleven-multilingual-v2)elevenlabs/eleven-multilingual-v2$46.20—$0—~$34.65
Eleven Turbo V2.5 (elevenlabs/eleven-turbo-v2.5)elevenlabs/eleven-turbo-v2.5$23.10—$0—~$17.325
Eleven V3 (elevenlabs/eleven-v3)elevenlabs/eleven-v3$46.20—$0—~$34.65
Eleven V3 Conversational (elevenlabs/eleven-v3-conversational)elevenlabs/eleven-v3-conversational$23.10—$0—~$17.325
Gemini 3 Pro Image (google/gemini-3-pro-image)google/gemini-3-pro-image$2.31$0.231−90%$120.0066K~$31.733
Gemini 3.1 Flash Image (google/gemini-3.1-flash-image)google/gemini-3.1-flash-image$0.5775$0.05775−90%$60.00131K~$15.433
Gemini 3.1 Flash Lite Image (google/gemini-3.1-flash-lite-image)google/gemini-3.1-flash-lite-image$0.2888$0.02888−90%$30.0066K~$7.717
Gemini 3.5 Flash Lite (google/gemini-3.5-flash-lite)google/gemini-3.5-flash-lite$0.3$0.03−90%$2.501.05M~$0.85
Gemini 3.8 Flash (google/gemini-3.8-flash)google/gemini-3.8-flash$0.75$0.075−90%$3.751.05M~$1.50
Gemini 3.8 Flash Lite TTS (google/gemini-3.8-flash-lite-tts)google/gemini-3.8-flash-lite-tts$0.5775—$6.938K~$2.166
Gemini 3.8 Flash TTS (google/gemini-3.8-flash-tts)google/gemini-3.8-flash-tts$0.5775—$10.3958K~$3.032
Gemini 4 Argon (google/gemini-4-argon)google/gemini-4-argonnew$2.31$0.1155−95%$11.551.05M~$4.62
Gemini Embedding 2 (google/gemini-embedding-2)google/gemini-embedding-2$0.2—$08K~$0.15
GLM 5.3 FlashX Legal (z-ai/glm-5.3-flashx-legal)z-ai/glm-5.3-flashx-legalnew$0.4274$0.08662−80%$1.4441.05M~$0.6815
GLM-5.3 (z-ai/glm-5.3)z-ai/glm-5.3$1.40$0.26−81%$4.401.05M~$2.15
GLM-5.3-Flash (z-ai/glm-5.3-flash)z-ai/glm-5.3-flash$0.15$0.03962−74%$0.51.05M~$0.2375
GLM-5.3-FlashX (z-ai/glm-5.3-flashx)z-ai/glm-5.3-flashx$0.4274$0.08662−80%$1.4441.0M~$0.6815
GPT Audio (openai/gpt-audio)openai/gpt-audio$2.50$0.25−90%$10.00128K~$4.375
GPT Audio Mini (openai/gpt-audio-mini)openai/gpt-audio-mini$0.6$0.06−90%$2.40128K~$1.05
GPT-5.4 Image 2 (openai/gpt-5.4-image-2)openai/gpt-5.4-image-2$8.00$2.00−75%$15.00272K~$9.75
GPT-6 Astra (openai/gpt-6-astra)openai/gpt-6-astra$22.00$2.20−90%$82.501.05M~$37.125
GPT-6 Astra Pro (openai/gpt-6-astra-pro)openai/gpt-6-astra-pro$23.10$2.31−90%$86.6251.05M~$38.981
GPT-6 Luna (openai/gpt-6-luna)openai/gpt-6-luna$0.22$0.022−90%$0.8251.05M~$0.3712
GPT-6 Luna Pro (openai/gpt-6-luna-pro)openai/gpt-6-luna-pro$0.231$0.0231−90%$0.86621.05M~$0.3898
GPT-6.1 Sol (openai/gpt-6.1-sol)openai/gpt-6.1-sol$4.40$0.22−95%$16.501.05M~$7.425
GPT-6.1 Sol Pro (openai/gpt-6.1-sol-pro)openai/gpt-6.1-sol-pro$4.62$0.231−95%$17.3251.05M~$7.796
GPT-6.1 Terra (openai/gpt-6.1-terra)openai/gpt-6.1-terranew$2.20$0.11−95%$8.251.05M~$3.713
GPT-6.1 Terra Pro (openai/gpt-6.1-terra-pro)openai/gpt-6.1-terra-pronew$2.31$0.1155−95%$8.6621.05M~$3.898
gpt-image-2 (openai/gpt-image-2)openai/gpt-image-2$8.80—$33.008K~$14.85
Grok 4.7 (x-ai/grok-4.7)x-ai/grok-4.7$4.00$1.00−75%$12.00500K~$6.00
Jev 1.14 (typesafe/jev-1.14)typesafe/jev-1.14$0.04851—$08K~$0.03638
Kimi K2.7 Code (moonshotai/kimi-k2.7-code)moonshotai/kimi-k2.7-code$0.95$0.19−80%$4.00262K~$1.712
Kimi K3 (moonshotai/kimi-k3)moonshotai/kimi-k3$3.00$0.3−90%$15.001.05M~$6.00
Kimi K3.1 Pro (moonshotai/kimi-k3.1-pro)moonshotai/kimi-k3.1-pronew$2.00$0.231−88%$10.001.05M~$4.00
Mercury 2 (inception/mercury-2)inception/mercury-2$0.2888$0.02888−90%$0.8662128K~$0.4331
Mercury Decide (inception/mercury-decide)inception/mercury-decide$0.0231—$0—~$0.01733
MiMo-V2.6-Flash (xiaomi/mimo-v2.6-flash)xiaomi/mimo-v2.6-flash$0.14$0.0028−98%$0.281.05M~$0.175
MiMo-V2.6-Pro (xiaomi/mimo-v2.6-pro)xiaomi/mimo-v2.6-pro$0.435$0.0036−99%$0.871.05M~$0.5437
MiMo-V2.6-Pro-UltraSpeed (xiaomi/mimo-v2.6-pro-ultraspeed)xiaomi/mimo-v2.6-pro-ultraspeed$4.35$0.036−99%$8.701.05M~$5.438
MiniMax-M3 (minimax/minimax-m3)minimax/minimax-m3$0.6$0.12−80%$2.401.0M~$1.05
MiniMax-M3.1-Flash (minimax/minimax-m3.1-flash)minimax/minimax-m3.1-flashnew$0.1732$0.01733−90%$0.6931.0M~$0.3032
Muse Glimmer 30B (meta/muse-glimmer-30b)meta/muse-glimmer-30b$0.3465$0.0462−87%$1.386131K~$0.6064
Muse Spark 1.3 (meta/muse-spark-1.3)meta/muse-spark-1.3$1.25$0.15−88%$4.251.05M~$2.00
Muse Spark Open (meta/muse-spark-open)meta/muse-spark-opennew$1.444$0.1732−88%$4.9091.05M~$2.31
Muse Wonder (meta/muse-wonder-1.0)meta/muse-wonder-1.0new$4.00$0.2−95%$20.001.05M~$8.00
Nano Banana 2.1 (google/gemini-nano-banana-2.1)google/gemini-nano-banana-2.1$1.50$0.15−90%$7.5066K~$3.00
Qwen3 Embedding 8B (qwen/qwen3-embedding-8b)qwen/qwen3-embedding-8b$0.01155—$08K~$0.008663
Qwen3.7 Plus (qwen/qwen3.7-plus)qwen/qwen3.7-plus$1.20$0.24−80%$4.801.0M~$2.10
Qwen3.8 2.4T A95B (qwen/qwen3.8-2.4t-a95b)qwen/qwen3.8-2.4t-a95b$2.31$0.2888−88%$6.931.05M~$3.465
Qwen3.8 27B (qwen/qwen3.8-27b)qwen/qwen3.8-27b$0.425$0.085−80%$2.551.02M~$0.9562
Qwen3.8 Flash (qwen/qwen3.8-flash)qwen/qwen3.8-flash$0.165$0.0176−89%$0.5171.0M~$0.253
Qwen3.8 Max (qwen/qwen3.8-max)qwen/qwen3.8-max$2.00$0.25−88%$6.001.0M~$3.00
Stt Async V5 (soniox/stt-async-v5)soniox/stt-async-v5$3.85—$3.858K~$3.85
Stt Rt V5 (soniox/stt-rt-v5)soniox/stt-rt-v5$36.667—$0—~$27.50
text-embedding-3-large (openai/text-embedding-3-large)openai/text-embedding-3-large$0.1638—$08K~$0.1229
text-embedding-3-small (openai/text-embedding-3-small)openai/text-embedding-3-small$0.0252—$08K~$0.0189

“Est. mix / M” is a 3:1 input:output estimate for a million tokens, shown to compare models. Your bill uses the exact input, cached-input, and output counts on each response.

Billing questions

The short answers. For the request-and-response details, start at the quickstart.

What exactly am I charged for?
Tokens processed on Responses calls: input tokens at the input rate, cached prefix tokens at the cached-input rate, and generated tokens at the output rate for the model you named.
Is there a subscription or a minimum?
Pricing on this API is usage-based: you are charged for the tokens you use, at the prices above. There is no per-model access fee listed here, and adding a key costs nothing.
Do failed requests cost anything?
A request that fails validation or returns an error status does not produce a completed response to bill. Retries are safe when you send an Idempotency-Key: a replayed create returns the original response instead of charging a second time.
How do prices change?
The catalog is the rate sheet: a price change publishes on the model page, the pricing page, and the API’s own model payload at the same time. Historic usage keeps the price that applied when it was metered.
Where can I see what I have spent?
The Sylphx console shows settled spend, request counts, and token totals for your workspace, with a per-model breakdown so you can see which model is driving the bill.
Start with one keySend a first request

Lowest listed input price: Qwen3 Embedding 8B (qwen/qwen3-embedding-8b) at $0.01155 per million tokens.

Pricing · Sylphx AI