Step 3.5 Flash 2603
nano-gpt/stepfun-ai/step-3.5-flash-2603 · in: text → out: text · price provider-declared (via models.dev). Capabilities: reasoning text.
$0.15
Blended $/1M (3:1)
$0.1
Input $/1M
$0.3
Output $/1M
$0.40
1M in + 1M out
$0.05 −50%
Cache read $/1M
#1331 of 7,708
Cheapest rank
- Provider
- NanoGPT (
nano-gpt) - Kind
- text (outputs text)
- Context
- 262,144 tokens
- Max output
- 65,536 tokens
- Capabilities
- reasoning text
Same model, other providers
“Step 3.5 Flash 2603” is offered by 4 providers — cheapest-effective first. This one (NanoGPT) is the cheapest.
| Provider | Input | Output | Blended | Context |
|---|---|---|---|---|
| NanoGPT (this) | $0.1 | $0.3 | $0.15 | 262k |
| EmpirioLabs AI | $0.1 | $0.3 | $0.15 | 256k |
| StepFun (Global) | $0.1 | $0.3 | $0.15 | 256k |
| StepFun (China) | $0.1 | $0.3 | $0.15 | 256k |
Call it
jishie indexes & prices models; it does not proxy inference.
Most providers are OpenAI-compatible — point base_url at NanoGPT and pass this model id:
curl $BASE_URL/v1/chat/completions \
-H "Authorization: Bearer $API_KEY" -H "Content-Type: application/json" \
-d '{"model":"stepfun-ai/step-3.5-flash-2603","messages":[{"role":"user","content":"hello"}]}'
Route programmatically with MCP find_model / get_model, or fetch this record free (no wallet):