Which cards can I pay with?

Visa, Mastercard and Meeza cards, and Apple Pay. Every payment is charged in Egyptian pounds.

Which mobile wallets can I pay with?

Vodafone Cash, Etisalat Cash, Orange Cash and WE Pay.

How fast does my credit arrive?

Credit is added to your balance once Kashier confirms the payment as successful, normally within a few seconds of checkout.

Pricing

AI API pricing, billed in EGP

Every model on one API, OpenAI-compatible for chat, embeddings and images, priced in Egyptian pounds and paid from a prepaid EGP balance, so you never pay in dollars. Text models are billed per token used, image models per generated image. Rates for models served by international providers are set from their USD prices at the current exchange rate, so they can change; this page shows the latest rates.

231 live models · input from 0.12 to 1728.48 EGP per million tokens

Chat models

176 models

Billed per million tokens, input and output priced separately. Rates shown are for each model's primary provider: a request served by another provider after a failover is billed at that provider's rates, which can be higher or lower, and cached, audio and image tokens can carry their own rates. Your request logs show what each request cost.

Model	Context	Input EGP / 1M	Output EGP / 1M
meta-llama-3.1-8b-instruct-turboMeta	131K	1.15	2.30
Meta Llama 3.2 1B InstructMeta	60K	1.56	11.58
mistral-nemo-instruct-2407Mistral AI	131K	1.67	1.73
gpt-oss-20bOpenAI	131K	1.73	8.07
granite-4.2-3bibm-granite	131K	1.73	6.91
Qwen: Qwen3.7 FlashAlibaba	1M	1.73	7.49
gpt-oss-120bOpenAI	131K	2.13	9.79
ling-3.0-flash-fininclusionAI	262K	2.42	7.10
gemma-3-12b-itGoogle	131K	2.88	8.64
gemma-3-4b-itGoogle	131K	2.88	5.76
gpt-5-nanoOpenAI	400K	2.88	23.05
Meta Llama 3.2 3B InstructMeta	131K	2.88	19.01
mistral-small-24b-instruct-2501Mistral AI	33K	2.88	4.61
nim/meta/llama-3.1-8b-instructnim	131K	2.88	4.61
DeepSeek: DeepSeek V4 Flash 0731DeepSeek	1M	3.46	10.37
granite-4.2-8bibm-granite	131K	3.46	14.40
Ling-3.0-flashinclusionai	131K	3.46	10.37
ling-3.0-flash-vlinclusionAI	131K	3.46	10.37
nemotron-3-nano-30b-a3bNVIDIA	262K	3.46	13.83
nvidia-nemotron-3.5-lightningNVIDIA	262K	3.46	9.22
glm-4.7-flashzai-org	131K	3.49	23.05
Qwen: Qwen3.5-FlashAlibaba	1M	3.75	14.98
gemma-4-26b-a4b-itGoogle	262K	4.03	19.59
phi-4Microsoft	16K	4.03	8.07
Qwen3 Coder 30B A3b InstructAlibaba	262K	4.03	16.13
mistral-small-3.2-24b-instruct-2506Mistral AI	128K	4.32	11.52
gemma-3-27b-itGoogle	131K	4.61	9.22
qwen3-32bAlibaba	41K	4.61	16.13
nvidia-nemotron-3-super-120b-a12bNVIDIA	262K	4.90	23.05
Qwen3-0.6BAlibaba	4K	5.00	10.00
deepseek-v4-flashDeepSeek	1M	5.19	10.37
gemma-4-31b-it-turboGoogle	262K	5.19	19.59
qwen3-235b-a22b-instruct-2507Alibaba	262K	5.19	31.69
qwen3-next-80b-a3b-instructAlibaba	262K	5.19	63.38
Arize AI Qwen 2 1.5B Instructarize-ai	33K	5.76	5.76
Claude Haiku 5.5Anthropic	1M	5.76	28.81
gpt-4.1-nanoOpenAI	1M	5.76	23.05
gpt-6-lunaOpenAI	1M	5.76	28.81
llama-3.3-70b-instruct-turboMeta	131K	5.76	18.44
llama-4-scout-17b-16e-instructMeta	328K	5.76	17.28
qwen3.5-9bAlibaba	262K	5.76	8.64
qwen3.6-35b-a3bAlibaba	262K	5.76	54.74
seed-2.0-miniByteDance	256K	5.76	23.05
voxtral-small-24b-2507Mistral AI	33K	5.76	17.28
Qwen: Qwen3.8 FlashAlibaba	1M	6.51	22.01
Qwen: Qwen3 Coder NextAlibaba	262K	6.91	46.09
qwen3-14bAlibaba	41K	6.91	13.83
qwen3-30b-a3bAlibaba	41K	6.91	28.81
hy3tencent	262K	7.61	30.42
mimo-v2.5XiaomiMiMo	1M	8.07	16.13
qwen3.5-35b-a3bAlibaba	262K	8.07	57.62
Xiaomi: MiMo-V2.6-Flashxiaomi	1M	8.07	16.13
gpt-4o-mini-search-previewOpenAI	128K	8.58	34.32
glm-5.3-flashzai-org	1M	8.64	28.81
gpt-4o-miniOpenAI	128K	8.64	34.57
gpt-4o-mini-2024-07-18OpenAI	128K	8.64	34.57
gpt-oss-120b-turboOpenAI	131K	8.64	34.57
Qwen3 Next 80B A3b ThinkingAlibaba	262K	8.64	69.14
qwen3-vl-30b-a3b-instructAlibaba	262K	8.64	34.57
granite-4.2-30bibm-granite	131K	9.22	37.45
llama-guard-4-12bMeta	164K	10.37	10.37
Qwen: Qwen3.6 FlashAlibaba	1M	10.80	64.82
Qwen: Qwen3 Coder FlashAlibaba	1M	11.24	56.18
deepseek-v4.1-flashDeepSeek	1M	11.52	34.57
gemma-4-31b-itGoogle	262K	11.52	23.05
gpt-5.4-nanoOpenAI	400K	11.52	72.02
gpt-5.6-lunaOpenAI	1M	11.52	69.14
nemotron-content-safety-3.5NVIDIA	131K	11.52	11.52
Qwen: Qwen3.8 27BAlibaba	262K	11.52	144.04
qwen3-vl-235b-a22b-instructAlibaba	262K	11.52	50.70
step-3.7-flashstepfun-ai	256K	11.52	66.26
minimax-m2.7MiniMaxAI	197K	12.10	48.40
nim/meta/llama-3.3-70b-instructnim	131K	12.68	28.81
Qwen3.8-27B-FP8Alibaba	131K	14.00	105.00
deepseek-v3.1DeepSeek	164K	14.40	54.74
DeepSeek: DeepSeek V3.1DeepSeek	164K	14.40	54.74
gemini-3.1-flash-liteGoogle	1M	14.40	86.42
gpt-5-miniOpenAI	400K	14.40	115.23
Qwen3-VL-8B-InstructAlibaba	262K	14.40	43.21
seed-1.8ByteDance	256K	14.40	115.23
deepseek-v3.2DeepSeek	164K	14.98	21.89
Qwen: Qwen3.5 Plus 2026-02-15Alibaba	1M	14.98	89.88
qwen3.5-122b-a10bAlibaba	262K	14.98	119.84
qwen3.5-27bAlibaba	262K	14.98	149.80
deepseek-v3.1-terminusDeepSeek	164K	15.56	57.62
gemma-4-31b-it-ultraGoogle	131K	15.56	43.79
minimax-m3MiniMaxAI	524K	16.13	63.38
DeepSeek: DeepSeek V3 0324DeepSeek	128K	16.71	65.68
gemini-2.5-flashGoogle	1M	17.28	144.04
MiniMax M2MiniMaxAI	197K	17.28	69.14
Qwen: Qwen3.5 Plus 2026-04-20Alibaba	1M	17.28	103.71
deepseek-v3DeepSeek	164K	18.44	51.28
qwen3.6-27bAlibaba	262K	18.44	184.37
Qwen3.7 PlusAlibaba	1M	18.44	73.75
Muse Glimmer 30Bmeta-models	131K	20.17	86.42
glm-4.7zai-org	203K	23.05	100.83
gpt-4.1-miniOpenAI	1M	23.05	92.19
meta-llama-3.1-70b-instruct-turboMeta	131K	23.05	23.05
nim/meta/llama-3.1-70b-instructnim	131K	23.05	23.05
Xiaomi: MiMo-V2.6-Proxiaomi	1M	24.77	50.13
mimo-v2.5-proXiaomiMiMo	1M	25.06	50.13
DeepSeek: DeepSeek V4 Flash Vision ExpDeepSeek	1M	25.35	76.05
qwen3-235b-a22b-thinking-2507Alibaba	128K	25.93	201.66
qwen3.5-397b-a17bAlibaba	262K	25.93	172.85
Thinking Machines: Inkling Smallthinkingmachines	524K	25.93	69.14
deepseek-r1-0528DeepSeek	164K	28.81	123.87
glm-4.6zai-org	203K	28.81	115.23
gpt-3.5-turboOpenAI	16K	28.81	86.42
kimi-k2.5moonshotai	262K	28.81	144.04
NVIDIA Nemotron 3 Ultra 550B A55B NVFP4NVIDIA	262K	28.81	126.75
nvidia-nemotron-3-ultra-550b-a55bNVIDIA	262K	28.81	126.75
seed-2.0-codeByteDance	256K	28.81	172.85
seed-2.0-proByteDance	256K	28.81	172.85
MoonshotAI: Kimi K2 0711moonshotai	131K	32.84	132.52
GLM 4.5Vzai-org	66K	34.57	103.71
glm-5zai-org	198K	34.57	110.62
MoonshotAI: Kimi K2 0905moonshotai	262K	34.57	144.04
Gemma-2 Instruct (27B)Google	8K	37.45	37.45
kimi-k2.7-codemoonshotai	262K	38.67	193.01
DeepSeek: R1DeepSeek	64K	40.33	144.04
hermes-3-llama-3.1-70bNousResearch	131K	40.33	40.33
glm-5.2zai-org	1M	43.21	138.28
Google: Gemini 3.6 FlashGoogle	1M	43.21	216.06
Google: Gemini 3.7 FlashGoogle	1M	43.21	216.06
Google: Gemini 3.8 FlashGoogle	1M	43.21	216.06
gpt-5.4-miniOpenAI	400K	43.21	259.27
kimi-k2.6moonshotai	262K	43.21	201.66
Qwen2.5-VL (72B) InstructAlibaba	128K	46.09	57.62
Tencent: Hy4 previewtencent	1M	48.05	144.10
Z.ai: GLM 5.3z-ai	1M	51.85	230.46
Inkling FP4thinkingmachines	524K	54.74	233.34
glm-5.1zai-org	200K	55.66	174.92
claude-haiku-4.5Anthropic	200K	57.62	288.08
o3-miniOpenAI	200K	63.38	253.51
o4-miniOpenAI	200K	63.38	253.51
gemini-2.5-proGoogle	1M	72.02	576.16
gpt-5OpenAI	400K	72.02	576.16
gpt-5.1OpenAI	400K	72.02	576.16
deepseek-v4-proDeepSeek	1M	74.90	149.80
DeepSeek: DeepSeek V4 Pro 0813DeepSeek	1M	74.90	149.80
gemini-3.5-flashGoogle	1M	86.42	518.54
Qwen: Qwen3.8 MaxAlibaba	256K	95.07	285.26
gpt-5.2OpenAI	400K	100.83	806.62
Claude Sonnet 5.5Anthropic	1M	115.23	576.16
claude-sonnet-5Anthropic	1M	115.23	576.16
gemini-3.1-proGoogle	1M	115.23	691.39
gpt-4.1OpenAI	1M	115.23	460.93
gpt-5.6-solOpenAI	1M	115.23	576.16
gpt-5.6-terraOpenAI	1M	115.23	691.39
gpt-6-solOpenAI	1M	115.23	576.16
gpt-6.1-solOpenAI	1M	115.23	576.16
o3OpenAI	200K	115.23	460.93
qwen3.8-2.4t-a95bAlibaba	1M	115.23	345.70
gpt-4o-search-previewOpenAI	128K	143.00	572.00
gpt-4oOpenAI	128K	144.04	576.16
gpt-4o-2024-08-06OpenAI	128K	144.04	576.16
gpt-4o-2024-11-20OpenAI	128K	144.04	576.16
gpt-5.4OpenAI	1M	144.04	864.24
MoonshotAI: Kimi K3moonshotai	1M	155.56	777.81
Claude Sonnet 4.5Anthropic	200K	172.85	864.24
claude-sonnet-4.6Anthropic	1M	172.85	864.24
gpt-3.5-turbo-16kOpenAI	16K	172.85	230.46
Claude Opus 5.5Anthropic	1M	230.46	1152.32
Claude Opus 4.5Anthropic	200K	288.08	1440.40
Claude Opus 4.6Anthropic	1M	288.08	1440.40
Claude Opus 5Anthropic	1M	288.08	1440.40
claude-opus-4.7Anthropic	1M	288.08	1440.40
claude-opus-4.8Anthropic	1M	288.08	1440.40
gpt-4o-2024-05-13OpenAI	128K	288.08	864.24
gpt-5.5OpenAI	1M	288.08	1728.48
Claude Fable 5.1Anthropic	1M	576.16	2880.80
claude-fable-5Anthropic	1M	576.16	2880.80
gpt-6-astraOpenAI	1M	576.16	2880.80
o1OpenAI	200K	864.24	3456.95
gpt-4OpenAI	8K	1728.48	3456.95
gpt-4-turboOpenAI	8K	1728.48	3456.95

Embedding models

28 models

Billed on input tokens only. Embeddings return vectors, not generated text, so there is no output charge.

Model	Context	Input EGP / 1M
embeddinggemma-300mGoogle	2K	0.12
all-minilm-l12-v2SBERT	512	0.29
all-minilm-l6-v2SBERT	512	0.29
all-mpnet-base-v2SBERT	512	0.29
bge-base-en-v1.5BAAI	512	0.29
clip-vit-b-32SBERT	77	0.29
clip-vit-b-32-multilingual-v1SBERT	512	0.29
e5-base-v2intfloat	512	0.29
gte-basethenlper	512	0.29
multi-qa-mpnet-base-dot-v1SBERT	512	0.29
paraphrase-minilm-l6-v2SBERT	512	0.29
text2vec-base-chineseshibing624	512	0.29
bge-en-iclBAAI	8K	0.58
bge-large-en-v1.5BAAI	512	0.58
bge-m3BAAI	8K	0.58
bge-m3-multiBAAI	512	0.58
bge-m3-multi-8kBAAI	8K	0.58
e5-large-v2intfloat	512	0.58
gte-largethenlper	512	0.58
llama-nemotron-embed-vl-1b-v2NVIDIA	10K	0.58
multilingual-e5-largeintfloat	512	0.58
multilingual-e5-large-instructintfloat	512	0.58
qwen3-embedding-0.6bAlibaba	33K	0.58
qwen3-embedding-8bAlibaba	33K	0.58
qwen3-embedding-4bAlibaba	33K	1.15
text-embedding-3-smallOpenAI	—	1.15
text-embedding-ada-002OpenAI	—	5.76
text-embedding-3-largeOpenAI	—	7.49

Image generation models

25 models

Billed for each image returned. A figure that names a size (for example 'per 1024p image') is the price at that size, and the charge scales with the pixels you request; other figures are per image. ≈ marks the provider's published default price, so the exact charge depends on the request. Every response reports the EGP charge in usage.cost.

Model	Price
sdxl-turbostabilityai	0.0115 EGP per 1024p image
flux-1-schnellblack-forest-labs	0.0288 EGP per 1024p image
p-imagePrunaAI	0.2881 EGP per image
flux-1-devblack-forest-labs	0.5185 EGP per 1024p image
ming-image-0.1-designinclusionAI	0.5762 EGP per 1024p image
ming-image-0.1-design-layerinclusionAI	0.5762 EGP per 1024p image
flux-2-klein-4bblack-forest-labs	0.8066 EGP per 1024p image
flux-2-klein-9bblack-forest-labs	0.8642 EGP per 1024p image
flux-2-problack-forest-labs	≈ 0.8642 EGP per image
flux-2-devblack-forest-labs	1.03 EGP per 1024p image
wan2.6-t2iWan-AI	1.73 EGP per image
nano-banana-2-liteGoogle	1.94 EGP per image
bria-3.2Bria	2.30 EGP per image
bria-3.2-vectorBria	2.30 EGP per image
fiboBria	2.30 EGP per image
fibo-1.5Bria	2.30 EGP per image
flux-1.1-problack-forest-labs	2.30 EGP per image
seedream-4ByteDance	2.30 EGP per image
seedream-4.5ByteDance	2.30 EGP per image
nano-banana-2Google	3.87 EGP per image
flux-2-maxblack-forest-labs	≈ 4.03 EGP per image
qwen-image-maxAlibaba	4.32 EGP per image
seedream-5.0-proByteDance	5.70 EGP per image
gemini-3-pro-imageGoogle	7.74 EGP per image
nano-banana-proGoogle	7.74 EGP per image

Decision models

2 models

System One models on /v1/systemone. Priced on input tokens: the state plus your questions. The short typed answers they return carry no output charge on any decision model today.

Model	Context	Input EGP / 1M
Jared Palmer: Kev 4Bjaredpalmer	8K	2.42
TypeSafe: Jev 1.13typesafe	64K	2.42

How billing works

Text models are billed per million tokens, with input and output priced separately; image models are billed per generated image. You pay only for what a request actually uses. The rate shown is for the model's primary route; if a fallback provider serves a request, it is billed at that provider's rate, which can differ. Some models also price cached, audio, image or video tokens separately; those rates are on the model's page in the dashboard. Each model page shows its context window and modalities. For request formats and limits, see the documentation; to filter and compare models, use the model library.

How to pay from Egypt

You add credit to a prepaid EGP balance from Billing in the dashboard, and every request is paid from that balance. Checkout runs on Kashier's hosted payment page and is charged in Egyptian pounds, so you can pay with a local card or a mobile wallet. We do not store your full card details or the mobile wallet number you pay with. Refunds are covered by the refund policy.

Which cards can I pay with?: Visa, Mastercard and Meeza cards, and Apple Pay. Every payment is charged in Egyptian pounds.
Which mobile wallets can I pay with?: Vodafone Cash, Etisalat Cash, Orange Cash and WE Pay.
How fast does my credit arrive?: Credit is added to your balance once Kashier confirms the payment as successful, normally within a few seconds of checkout.