Venice

43 models available

Data handling can vary by model and deployment. The privacy badge above shows the more conservative of the provider-wide fallback and the policies for routes on this page; each model page shows the policy for that specific route.

Models served by Venice

43 models

Model	Context	Input /M	Output /M	Cache read /M	TTFT	Throughput
DeepSeek V3.2	160k	$0.28/M	$0.41/M	$0.14/M	4.1s	16 tps
DeepSeek V3.2 (Thinking)	160k	$0.28/M	$0.41/M	$0.14/M	4.1s	16 tps
DeepSeek V4 Flash	1M	$0.10/M	$0.20/M	$0.02/M	1.5s	26 tps
DeepSeek V4 Flash (Thinking)	1M	$0.10/M	$0.20/M	$0.02/M	1.5s	26 tps
DeepSeek V4 Flash 0731	1M	$0.14/M	$0.27/M	$0.03/M	0.8s	108 tps
DeepSeek V4 Flash 0731 (Thinking)	1M	$0.14/M	$0.27/M	$0.03/M	0.8s	108 tps
DeepSeek V4 Pro	1M	$1.73/M	$3.47/M	$0.35/M	1.4s	40 tps
DeepSeek V4 Pro (Thinking)	1M	$1.73/M	$3.47/M	$0.35/M	1.4s	40 tps
DeepSeek V4 Pro 0813	1M	$1.73/M	$5.20/M	$0.17/M	1.9s	34 tps
DeepSeek V4 Pro 0813 (Thinking)	1M	$1.73/M	$5.20/M	$0.17/M	1.9s	34 tps
DeepSeek V4.1 Flash FP8	1M	$0.31/M	$1.26/M	$0.0079/M	0.4s	217.5 tps
DeepSeek V4.1 Flash (Thinking) FP8	1M	$0.31/M	$1.26/M	$0.0079/M	0.4s	217.5 tps
GLM 4.7 FP4	198k	$0.42/M	$2.03/M	$0.08/M	1.5s	19 tps
GLM 4.7 (Thinking) FP4	198k	$0.42/M	$2.03/M	$0.08/M	1.5s	19 tps
GLM 5.1 FP8	200k	$1.47/M	$4.62/M	$0.27/M	2.2s	17.5 tps
GLM 5.1 (Thinking) FP8	200k	$1.47/M	$4.62/M	$0.27/M	2.2s	17.5 tps
GLM 5.2 FP8	1M	$1.47/M	$4.62/M	$0.27/M	1.9s	79 tps
GLM 5.2 (Thinking) FP8	1M	$1.47/M	$4.62/M	$0.27/M	1.9s	79 tps
GLM 5.3	1M	$1.47/M	$4.62/M	$0.27/M	0.6s	67 tps
GLM 5.3 (Thinking)	1M	$1.47/M	$4.62/M	$0.27/M	0.6s	67 tps
GLM 5.3 Flash	1.0M	$0.16/M	$0.53/M	$0.03/M	7.4s	95 tps
GPT OSS 120B INT4	128k	$0.03/M	$0.16/M	$0.03/M	1.7s	31 tps
Kimi K2.5 Thinking	256k	$0.56/M	$3.49/M	$0.22/M	0.9s	47 tps
Kimi K2.7 Code INT4	256k	$0.79/M	$3.68/M	$0.17/M	1.8s	25 tps
MiMo V2.5 FP8	1M	$0.42/M	$2.10/M	$0.08/M	2.5s	26 tps
MiMo V2.5 Thinking FP8	1M	$0.42/M	$2.10/M	$0.08/M	2.5s	26 tps
MiMo V2.6 Flash FP8	1M	$0.18/M	$0.37/M	$0.0039/M	2.2s	33 tps
MiniMax M3 FP8	524k	$0.31/M	$1.26/M	$0.06/M	0.8s	28 tps
MiniMax M3 Thinking FP8	524k	$0.31/M	$1.26/M	$0.06/M	0.8s	28 tps
Muse Wonder	1.0M	$5.25/M	$26.25/M	$0.26/M	N/A	N/A
Qwen 3.6 35B A3B FP8	256k	$0.10/M	$1.05/M	N/A	0.7s	110 tps
Qwen 3.6 35B A3B Thinking FP8	256k	$0.10/M	$1.05/M	N/A	0.7s	110 tps
Qwen3 235B A22B FP8	128k	$0.16/M	$0.79/M	N/A	1.2s	21 tps
Qwen3 235B A22B Thinking FP8	128k	$0.47/M	$3.68/M	N/A	0.8s	33 tps
Qwen3.5 35B A3B	256k	$0.16/M	$1.05/M	$0.05/M	1.7s	146.5 tps
Qwen3.5 35B A3B Thinking	256k	$0.16/M	$1.05/M	$0.05/M	1.7s	146.5 tps
Qwen3.5 397B	128k	$0.79/M	$4.73/M	N/A	1.7s	26 tps
Qwen3.5 397B Thinking	128k	$0.79/M	$4.73/M	N/A	1.7s	26 tps
Qwen3.8 27B FP8	262k	$0.47/M	$3.36/M	N/A	0.9s	126.5 tps
Qwen3.8 27B Thinking FP8	262k	$0.47/M	$3.36/M	N/A	0.9s	126.5 tps
Qwen3.8 Max	262k	$2.10/M	$6.30/M	$0.26/M	0.7s	121 tps
Qwen3.8 Max Thinking	262k	$2.10/M	$6.30/M	$0.26/M	0.7s	121 tps
Tencent Hy4 Preview FP4	1.0M	$1.09/M	$3.28/M	$0.06/M	N/A	N/A

DeepSeek V3.2

Context: 160k
Input /M: $0.28/M
Output /M: $0.41/M
Cache read /M: $0.14/M
TTFT: 4.1s
Throughput: 16 tps

DeepSeek V3.2 (Thinking)

Context: 160k
Input /M: $0.28/M
Output /M: $0.41/M
Cache read /M: $0.14/M
TTFT: 4.1s
Throughput: 16 tps

DeepSeek V4 Flash

Context: 1M
Input /M: $0.10/M
Output /M: $0.20/M
Cache read /M: $0.02/M
TTFT: 1.5s
Throughput: 26 tps

DeepSeek V4 Flash (Thinking)

Context: 1M
Input /M: $0.10/M
Output /M: $0.20/M
Cache read /M: $0.02/M
TTFT: 1.5s
Throughput: 26 tps

DeepSeek V4 Flash 0731

Context: 1M
Input /M: $0.14/M
Output /M: $0.27/M
Cache read /M: $0.03/M
TTFT: 0.8s
Throughput: 108 tps

DeepSeek V4 Flash 0731 (Thinking)

Context: 1M
Input /M: $0.14/M
Output /M: $0.27/M
Cache read /M: $0.03/M
TTFT: 0.8s
Throughput: 108 tps

DeepSeek V4 Pro

Context: 1M
Input /M: $1.73/M
Output /M: $3.47/M
Cache read /M: $0.35/M
TTFT: 1.4s
Throughput: 40 tps

DeepSeek V4 Pro (Thinking)

Context: 1M
Input /M: $1.73/M
Output /M: $3.47/M
Cache read /M: $0.35/M
TTFT: 1.4s
Throughput: 40 tps

DeepSeek V4 Pro 0813

Context: 1M
Input /M: $1.73/M
Output /M: $5.20/M
Cache read /M: $0.17/M
TTFT: 1.9s
Throughput: 34 tps

DeepSeek V4 Pro 0813 (Thinking)

Context: 1M
Input /M: $1.73/M
Output /M: $5.20/M
Cache read /M: $0.17/M
TTFT: 1.9s
Throughput: 34 tps

DeepSeek V4.1 Flash

FP8

Context: 1M
Input /M: $0.31/M
Output /M: $1.26/M
Cache read /M: $0.0079/M
TTFT: 0.4s
Throughput: 217.5 tps

DeepSeek V4.1 Flash (Thinking)

FP8

Context: 1M
Input /M: $0.31/M
Output /M: $1.26/M
Cache read /M: $0.0079/M
TTFT: 0.4s
Throughput: 217.5 tps

GLM 4.7

FP4

Context: 198k
Input /M: $0.42/M
Output /M: $2.03/M
Cache read /M: $0.08/M
TTFT: 1.5s
Throughput: 19 tps

GLM 4.7 (Thinking)

FP4

Context: 198k
Input /M: $0.42/M
Output /M: $2.03/M
Cache read /M: $0.08/M
TTFT: 1.5s
Throughput: 19 tps

GLM 5.1

FP8

Context: 200k
Input /M: $1.47/M
Output /M: $4.62/M
Cache read /M: $0.27/M
TTFT: 2.2s
Throughput: 17.5 tps

GLM 5.1 (Thinking)

FP8

Context: 200k
Input /M: $1.47/M
Output /M: $4.62/M
Cache read /M: $0.27/M
TTFT: 2.2s
Throughput: 17.5 tps

GLM 5.2

FP8

Context: 1M
Input /M: $1.47/M
Output /M: $4.62/M
Cache read /M: $0.27/M
TTFT: 1.9s
Throughput: 79 tps

GLM 5.2 (Thinking)

FP8

Context: 1M
Input /M: $1.47/M
Output /M: $4.62/M
Cache read /M: $0.27/M
TTFT: 1.9s
Throughput: 79 tps

GLM 5.3

Context: 1M
Input /M: $1.47/M
Output /M: $4.62/M
Cache read /M: $0.27/M
TTFT: 0.6s
Throughput: 67 tps

GLM 5.3 (Thinking)

Context: 1M
Input /M: $1.47/M
Output /M: $4.62/M
Cache read /M: $0.27/M
TTFT: 0.6s
Throughput: 67 tps

GLM 5.3 Flash

Context: 1.0M
Input /M: $0.16/M
Output /M: $0.53/M
Cache read /M: $0.03/M
TTFT: 7.4s
Throughput: 95 tps

GPT OSS 120B

INT4

Context: 128k
Input /M: $0.03/M
Output /M: $0.16/M
Cache read /M: $0.03/M
TTFT: 1.7s
Throughput: 31 tps

Kimi K2.5 Thinking

Context: 256k
Input /M: $0.56/M
Output /M: $3.49/M
Cache read /M: $0.22/M
TTFT: 0.9s
Throughput: 47 tps

Kimi K2.7 Code

INT4

Context: 256k
Input /M: $0.79/M
Output /M: $3.68/M
Cache read /M: $0.17/M
TTFT: 1.8s
Throughput: 25 tps

MiMo V2.5

FP8

Context: 1M
Input /M: $0.42/M
Output /M: $2.10/M
Cache read /M: $0.08/M
TTFT: 2.5s
Throughput: 26 tps

MiMo V2.5 Thinking

FP8

Context: 1M
Input /M: $0.42/M
Output /M: $2.10/M
Cache read /M: $0.08/M
TTFT: 2.5s
Throughput: 26 tps

MiMo V2.6 Flash

FP8

Context: 1M
Input /M: $0.18/M
Output /M: $0.37/M
Cache read /M: $0.0039/M
TTFT: 2.2s
Throughput: 33 tps

MiniMax M3

FP8

Context: 524k
Input /M: $0.31/M
Output /M: $1.26/M
Cache read /M: $0.06/M
TTFT: 0.8s
Throughput: 28 tps

MiniMax M3 Thinking

FP8

Context: 524k
Input /M: $0.31/M
Output /M: $1.26/M
Cache read /M: $0.06/M
TTFT: 0.8s
Throughput: 28 tps

Muse Wonder

Context: 1.0M
Input /M: $5.25/M
Output /M: $26.25/M
Cache read /M: $0.26/M
TTFT: N/A
Throughput: N/A

Qwen 3.6 35B A3B

FP8

Context: 256k
Input /M: $0.10/M
Output /M: $1.05/M
Cache read /M: N/A
TTFT: 0.7s
Throughput: 110 tps

Qwen 3.6 35B A3B Thinking

FP8

Context: 256k
Input /M: $0.10/M
Output /M: $1.05/M
Cache read /M: N/A
TTFT: 0.7s
Throughput: 110 tps

Qwen3 235B A22B

FP8

Context: 128k
Input /M: $0.16/M
Output /M: $0.79/M
Cache read /M: N/A
TTFT: 1.2s
Throughput: 21 tps

Qwen3 235B A22B Thinking

FP8

Context: 128k
Input /M: $0.47/M
Output /M: $3.68/M
Cache read /M: N/A
TTFT: 0.8s
Throughput: 33 tps

Qwen3.5 35B A3B

Context: 256k
Input /M: $0.16/M
Output /M: $1.05/M
Cache read /M: $0.05/M
TTFT: 1.7s
Throughput: 146.5 tps

Qwen3.5 35B A3B Thinking

Context: 256k
Input /M: $0.16/M
Output /M: $1.05/M
Cache read /M: $0.05/M
TTFT: 1.7s
Throughput: 146.5 tps

Qwen3.5 397B

Context: 128k
Input /M: $0.79/M
Output /M: $4.73/M
Cache read /M: N/A
TTFT: 1.7s
Throughput: 26 tps

Qwen3.5 397B Thinking

Context: 128k
Input /M: $0.79/M
Output /M: $4.73/M
Cache read /M: N/A
TTFT: 1.7s
Throughput: 26 tps

Qwen3.8 27B

FP8

Context: 262k
Input /M: $0.47/M
Output /M: $3.36/M
Cache read /M: N/A
TTFT: 0.9s
Throughput: 126.5 tps

Qwen3.8 27B Thinking

FP8

Context: 262k
Input /M: $0.47/M
Output /M: $3.36/M
Cache read /M: N/A
TTFT: 0.9s
Throughput: 126.5 tps

Qwen3.8 Max

Context: 262k
Input /M: $2.10/M
Output /M: $6.30/M
Cache read /M: $0.26/M
TTFT: 0.7s
Throughput: 121 tps

Qwen3.8 Max Thinking

Context: 262k
Input /M: $2.10/M
Output /M: $6.30/M
Cache read /M: $0.26/M
TTFT: 0.7s
Throughput: 121 tps

Tencent Hy4 Preview

FP4

Context: 1.0M
Input /M: $1.09/M
Output /M: $3.28/M
Cache read /M: $0.06/M
TTFT: N/A
Throughput: N/A

Prices are per million tokens. TTFT is the observed time to first token. Selectable routes include the applicable provider-selection markup; fixed routes show the standard model price. Availability and pricing refresh continuously; each model page shows the live provider comparison.

Using Venice via the API

Call a model served by Venice using its displayed model ID, including the provider suffix when selection is supported.

cURL

curl https://nano-gpt.com/api/v1/chat/completions \
  -H "Authorization: Bearer $NANOGPT_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "deepseek/deepseek-v3.2:venice",
    "messages": [{"role": "user", "content": "Hello"}]
  }'

For models with provider selection, append :venice to the model ID, set "provider": "venice" in the request body, or send an X-Provider: venice header. Explicit provider selection adds a route-specific markup over that provider's base price; the prices in the table above already include it. Models without provider selection use the displayed model ID without a provider suffix or selection surcharge.

See the API documentation for provider preferences, price-aware routing, and error behavior.

Venice terms of use Venice privacy policy