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All providers
Venice

Venice

US
45 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

45 models

ModelContextInput /MOutput /MCache read /MCache hitTTFTThroughput
DeepSeek V4 Flash
1M$0.10/M$0.20/M$0.02/M0%1.1s37 tps
DeepSeek V4 Flash (Thinking)
1M$0.10/M$0.20/M$0.02/M0%1.1s37 tps
DeepSeek V4 Flash 0731
1M$0.14/M$0.27/M$0.03/MN/A1.1s52 tps
DeepSeek V4 Flash 0731 (Thinking)
1M$0.14/M$0.27/M$0.03/MN/A1.1s52 tps
DeepSeek V4 Pro
1M$1.73/M$3.47/M$0.35/MN/A1.5s55 tps
DeepSeek V4 Pro (Thinking)
1M$1.73/M$3.47/M$0.35/M51%1.5s55 tps
DeepSeek V4 Pro 0813
1M$1.73/M$5.20/M$0.17/MN/A1.3s66 tps
DeepSeek V4 Pro 0813 (Thinking)
1M$1.73/M$5.20/M$0.17/MN/A1.3s66 tps
DeepSeek V4.1 Flash
FP8
1M$0.31/M$1.26/M$0.0079/M59.9%0.5s203 tps
DeepSeek V4.1 Flash (Thinking)
FP8
1M$0.31/M$1.26/M$0.0079/M49.2%0.5s203 tps
DeepSeek V4.1 Flash 1017
FP8
1M$0.31/M$1.26/M$0.0079/MN/A0.9s146 tps
DeepSeek V4.1 Flash 1017 (Thinking)
FP8
1M$0.31/M$1.26/M$0.0079/MN/A0.9s146 tps
DeepSeek V4.1 Flash Uncensored
FP8
524k$0.35/M$1.39/M$0.0087/MN/AN/AN/A
DeepSeek V4.1 Flash Uncensored Thinking
FP8
524k$0.35/M$1.39/M$0.0087/MN/AN/AN/A
GLM 4.7
FP4
198k$0.42/M$2.03/M$0.08/M35.8%1.1s29 tps
GLM 4.7 (Thinking)
FP4
198k$0.42/M$2.03/M$0.08/M35.8%1.1s29 tps
GLM 5.1
FP8
200k$1.47/M$4.62/M$0.27/M0%0.8s76.5 tps
GLM 5.1 (Thinking)
FP8
200k$1.47/M$4.62/M$0.27/M0%0.8s76.5 tps
GLM 5.2
FP8
1M$1.47/M$4.62/M$0.27/MN/A1.8s97 tps
GLM 5.2 (Thinking)
FP8
1M$1.47/M$4.62/M$0.27/M71.3%1.8s97 tps
GLM 5.3
1M$1.47/M$4.62/M$0.27/M0%2.1s70 tps
GLM 5.3 (Thinking)
1M$1.47/M$4.62/M$0.27/M41.4%2.1s70 tps
GLM 5.3 Flash
1.0M$0.16/M$0.53/M$0.03/M9.2%2.6s77 tps
GPT OSS 120B
INT4
128k$0.03/M$0.16/M$0.03/MN/A1.5s36 tps
Kimi K2.5 Thinking
256k$0.56/M$3.49/M$0.22/M3.3%1.2s37 tps
Kimi K2.7 Code
INT4
256k$0.79/M$3.68/M$0.17/M32.7%3.3s32 tps
MiMo V2.5
FP8
1M$0.42/M$2.10/M$0.08/M30.7%2.7s38 tps
MiMo V2.5 Thinking
FP8
1M$0.42/M$2.10/M$0.08/M61.7%2.7s38 tps
MiMo V2.6 Flash
FP8
1M$0.18/M$0.37/M$0.0039/M67.3%3.1s57 tps
MiniMax M3
FP8
524k$0.31/M$1.26/M$0.06/MN/A0.9s121 tps
MiniMax M3 Thinking
FP8
524k$0.31/M$1.26/M$0.06/MN/A0.9s121 tps
Muse Wonder
1.0M$5.25/M$26.25/M$0.26/MN/AN/AN/A
Qwen 3.6 35B A3B
FP8
256k$0.10/M$1.05/MN/AN/A0.8s69 tps
Qwen 3.6 35B A3B Thinking
FP8
256k$0.10/M$1.05/MN/AN/A0.8s69 tps
Qwen3 235B A22B
FP8
128k$0.16/M$0.79/MN/AN/A0.7s21 tps
Qwen3 235B A22B Thinking
FP8
128k$0.47/M$3.68/MN/A54.8%0.8s123 tps
Qwen3.5 35B A3B
256k$0.16/M$1.05/M$0.05/MN/A0.9s166 tps
Qwen3.5 35B A3B Thinking
256k$0.16/M$1.05/M$0.05/MN/A0.9s166 tps
Qwen3.5 397B
128k$0.79/M$4.73/MN/AN/A1.9s91.5 tps
Qwen3.5 397B Thinking
128k$0.79/M$4.73/MN/AN/A1.9s91.5 tps
Qwen3.8 27B
FP8
262k$0.47/M$3.36/MN/AN/A0.7s98.5 tps
Qwen3.8 27B Thinking
FP8
262k$0.47/M$3.36/MN/AN/A0.7s98.5 tps
Qwen3.8 Max
262k$2.10/M$6.30/M$0.26/MN/A0.3s114 tps
Qwen3.8 Max Thinking
262k$2.10/M$6.30/M$0.26/MN/A0.3s114 tps
Tencent Hy4 Preview
FP4
1.0M$1.09/M$3.28/M$0.06/MN/AN/AN/A
DeepSeek V4 Flash
Context
1M
Input /M
$0.10/M
Output /M
$0.20/M
Cache read /M
$0.02/M
Cache hit
0%
TTFT
1.1s
Throughput
37 tps
DeepSeek V4 Flash (Thinking)
Context
1M
Input /M
$0.10/M
Output /M
$0.20/M
Cache read /M
$0.02/M
Cache hit
0%
TTFT
1.1s
Throughput
37 tps
DeepSeek V4 Flash 0731
Context
1M
Input /M
$0.14/M
Output /M
$0.27/M
Cache read /M
$0.03/M
Cache hit
N/A
TTFT
1.1s
Throughput
52 tps
DeepSeek V4 Flash 0731 (Thinking)
Context
1M
Input /M
$0.14/M
Output /M
$0.27/M
Cache read /M
$0.03/M
Cache hit
N/A
TTFT
1.1s
Throughput
52 tps
DeepSeek V4 Pro
Context
1M
Input /M
$1.73/M
Output /M
$3.47/M
Cache read /M
$0.35/M
Cache hit
N/A
TTFT
1.5s
Throughput
55 tps
DeepSeek V4 Pro (Thinking)
Context
1M
Input /M
$1.73/M
Output /M
$3.47/M
Cache read /M
$0.35/M
Cache hit
51%
TTFT
1.5s
Throughput
55 tps
DeepSeek V4 Pro 0813
Context
1M
Input /M
$1.73/M
Output /M
$5.20/M
Cache read /M
$0.17/M
Cache hit
N/A
TTFT
1.3s
Throughput
66 tps
DeepSeek V4 Pro 0813 (Thinking)
Context
1M
Input /M
$1.73/M
Output /M
$5.20/M
Cache read /M
$0.17/M
Cache hit
N/A
TTFT
1.3s
Throughput
66 tps
DeepSeek V4.1 Flash
FP8
Context
1M
Input /M
$0.31/M
Output /M
$1.26/M
Cache read /M
$0.0079/M
Cache hit
59.9%
TTFT
0.5s
Throughput
203 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
Cache hit
49.2%
TTFT
0.5s
Throughput
203 tps
DeepSeek V4.1 Flash 1017
FP8
Context
1M
Input /M
$0.31/M
Output /M
$1.26/M
Cache read /M
$0.0079/M
Cache hit
N/A
TTFT
0.9s
Throughput
146 tps
DeepSeek V4.1 Flash 1017 (Thinking)
FP8
Context
1M
Input /M
$0.31/M
Output /M
$1.26/M
Cache read /M
$0.0079/M
Cache hit
N/A
TTFT
0.9s
Throughput
146 tps
DeepSeek V4.1 Flash Uncensored
FP8
Context
524k
Input /M
$0.35/M
Output /M
$1.39/M
Cache read /M
$0.0087/M
Cache hit
N/A
TTFT
N/A
Throughput
N/A
DeepSeek V4.1 Flash Uncensored Thinking
FP8
Context
524k
Input /M
$0.35/M
Output /M
$1.39/M
Cache read /M
$0.0087/M
Cache hit
N/A
TTFT
N/A
Throughput
N/A
GLM 4.7
FP4
Context
198k
Input /M
$0.42/M
Output /M
$2.03/M
Cache read /M
$0.08/M
Cache hit
35.8%
TTFT
1.1s
Throughput
29 tps
GLM 4.7 (Thinking)
FP4
Context
198k
Input /M
$0.42/M
Output /M
$2.03/M
Cache read /M
$0.08/M
Cache hit
35.8%
TTFT
1.1s
Throughput
29 tps
GLM 5.1
FP8
Context
200k
Input /M
$1.47/M
Output /M
$4.62/M
Cache read /M
$0.27/M
Cache hit
0%
TTFT
0.8s
Throughput
76.5 tps
GLM 5.1 (Thinking)
FP8
Context
200k
Input /M
$1.47/M
Output /M
$4.62/M
Cache read /M
$0.27/M
Cache hit
0%
TTFT
0.8s
Throughput
76.5 tps
GLM 5.2
FP8
Context
1M
Input /M
$1.47/M
Output /M
$4.62/M
Cache read /M
$0.27/M
Cache hit
N/A
TTFT
1.8s
Throughput
97 tps
GLM 5.2 (Thinking)
FP8
Context
1M
Input /M
$1.47/M
Output /M
$4.62/M
Cache read /M
$0.27/M
Cache hit
71.3%
TTFT
1.8s
Throughput
97 tps
GLM 5.3
Context
1M
Input /M
$1.47/M
Output /M
$4.62/M
Cache read /M
$0.27/M
Cache hit
0%
TTFT
2.1s
Throughput
70 tps
GLM 5.3 (Thinking)
Context
1M
Input /M
$1.47/M
Output /M
$4.62/M
Cache read /M
$0.27/M
Cache hit
41.4%
TTFT
2.1s
Throughput
70 tps
GLM 5.3 Flash
Context
1.0M
Input /M
$0.16/M
Output /M
$0.53/M
Cache read /M
$0.03/M
Cache hit
9.2%
TTFT
2.6s
Throughput
77 tps
GPT OSS 120B
INT4
Context
128k
Input /M
$0.03/M
Output /M
$0.16/M
Cache read /M
$0.03/M
Cache hit
N/A
TTFT
1.5s
Throughput
36 tps
Kimi K2.5 Thinking
Context
256k
Input /M
$0.56/M
Output /M
$3.49/M
Cache read /M
$0.22/M
Cache hit
3.3%
TTFT
1.2s
Throughput
37 tps
Kimi K2.7 Code
INT4
Context
256k
Input /M
$0.79/M
Output /M
$3.68/M
Cache read /M
$0.17/M
Cache hit
32.7%
TTFT
3.3s
Throughput
32 tps
MiMo V2.5
FP8
Context
1M
Input /M
$0.42/M
Output /M
$2.10/M
Cache read /M
$0.08/M
Cache hit
30.7%
TTFT
2.7s
Throughput
38 tps
MiMo V2.5 Thinking
FP8
Context
1M
Input /M
$0.42/M
Output /M
$2.10/M
Cache read /M
$0.08/M
Cache hit
61.7%
TTFT
2.7s
Throughput
38 tps
MiMo V2.6 Flash
FP8
Context
1M
Input /M
$0.18/M
Output /M
$0.37/M
Cache read /M
$0.0039/M
Cache hit
67.3%
TTFT
3.1s
Throughput
57 tps
MiniMax M3
FP8
Context
524k
Input /M
$0.31/M
Output /M
$1.26/M
Cache read /M
$0.06/M
Cache hit
N/A
TTFT
0.9s
Throughput
121 tps
MiniMax M3 Thinking
FP8
Context
524k
Input /M
$0.31/M
Output /M
$1.26/M
Cache read /M
$0.06/M
Cache hit
N/A
TTFT
0.9s
Throughput
121 tps
Muse Wonder
Context
1.0M
Input /M
$5.25/M
Output /M
$26.25/M
Cache read /M
$0.26/M
Cache hit
N/A
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
Cache hit
N/A
TTFT
0.8s
Throughput
69 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
Cache hit
N/A
TTFT
0.8s
Throughput
69 tps
Qwen3 235B A22B
FP8
Context
128k
Input /M
$0.16/M
Output /M
$0.79/M
Cache read /M
N/A
Cache hit
N/A
TTFT
0.7s
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
Cache hit
54.8%
TTFT
0.8s
Throughput
123 tps
Qwen3.5 35B A3B
Context
256k
Input /M
$0.16/M
Output /M
$1.05/M
Cache read /M
$0.05/M
Cache hit
N/A
TTFT
0.9s
Throughput
166 tps
Qwen3.5 35B A3B Thinking
Context
256k
Input /M
$0.16/M
Output /M
$1.05/M
Cache read /M
$0.05/M
Cache hit
N/A
TTFT
0.9s
Throughput
166 tps
Qwen3.5 397B
Context
128k
Input /M
$0.79/M
Output /M
$4.73/M
Cache read /M
N/A
Cache hit
N/A
TTFT
1.9s
Throughput
91.5 tps
Qwen3.5 397B Thinking
Context
128k
Input /M
$0.79/M
Output /M
$4.73/M
Cache read /M
N/A
Cache hit
N/A
TTFT
1.9s
Throughput
91.5 tps
Qwen3.8 27B
FP8
Context
262k
Input /M
$0.47/M
Output /M
$3.36/M
Cache read /M
N/A
Cache hit
N/A
TTFT
0.7s
Throughput
98.5 tps
Qwen3.8 27B Thinking
FP8
Context
262k
Input /M
$0.47/M
Output /M
$3.36/M
Cache read /M
N/A
Cache hit
N/A
TTFT
0.7s
Throughput
98.5 tps
Qwen3.8 Max
Context
262k
Input /M
$2.10/M
Output /M
$6.30/M
Cache read /M
$0.26/M
Cache hit
N/A
TTFT
0.3s
Throughput
114 tps
Qwen3.8 Max Thinking
Context
262k
Input /M
$2.10/M
Output /M
$6.30/M
Cache read /M
$0.26/M
Cache hit
N/A
TTFT
0.3s
Throughput
114 tps
Tencent Hy4 Preview
FP4
Context
1.0M
Input /M
$1.09/M
Output /M
$3.28/M
Cache read /M
$0.06/M
Cache hit
N/A
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-v4-flash: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 useVenice privacy policy