

Qwen3.5 4B and Mistral Small 3.1 side by side: specs, capabilities, parameters, and live pricing from the EmpirioLabs catalog.
Qwen3.5 4B from Alibaba Cloud and Mistral Small 3.1 from Mistral AI are both in the Text Generation category, available through the EmpirioLabs API.
| Spec | Qwen3.5 4B | Mistral Small 3.1 |
|---|---|---|
| Model ID | qwen3-5-4b | mistral-small-3-1 |
| Author | Alibaba Cloud | Mistral AI |
| Released | Mar 2, 2026 | Mar 17, 2025 |
| Context window | 256K tokens | 89.6K tokens |
| Max output | 32,768 tokens | 32,768 tokens |
| Input | Text Image Video | Text Image |
| Output | Text | Text |
| Structured output | JSON Schema | JSON Schema |
| Endpoints | POST /v1/chat/completions POST /v1/responses POST /v1/messages POST /v1/completions POST /v1beta/models/qwen3-5-4b:generateContent | POST /v1/chat/completions POST /v1/responses POST /v1/messages POST /v1beta/models/mistral-small-3-1:generateContent |
| Capabilities |
Live rates from the EmpirioLabs catalog for both models. Each rate card always matches what the API charges.
Request parameters each model lists on EmpirioLabs, with the allowed values or range where one applies. A dash marks a parameter the model does not list.
| Parameter | Qwen3.5 4B | Mistral Small 3.1 |
|---|---|---|
| temperature | 0 to 2 Default: 0.7 | 0 to 5 Default: 0.15 |
| top_p | 0.01 to 1 Default: 0.95 | 0.01 to 1 Default: 1 |
| max_tokens | 1 to 32768 Default: 8192 | 1 to 32768 Default: 4096 |
| stop | string | - |
| enable_thinking | boolean Default: true | - |
| reasoning_effort | none, low, medium, high, max Default: medium | - |
| thinking_budget | 1024 to 32768 Default: 4096 | - |
| top_k | min 1 Default: 20 | - |
| min_p | 0 to 1 Default: 0 | - |
| frequency_penalty | -2 to 2 Default: 0 | - |
| presence_penalty | -2 to 2 Default: 0 | - |
| repetition_penalty | min 0.1 Default: 1 | - |
| seed | 0 to 2147483647 | - |
| logprobs | boolean Default: false | - |
| top_logprobs | 0 to 20 | - |
| logit_bias | object | - |
Supports text, image, and video input, streaming, function tools, structured JSON output, seed control, and thinking mode on by default. Use reasoning_effort or thinking_budget for bounded thinking, or enable_thinking=false for direct answers. Automatic cache reads are billed at the cached-input rate when reported by the model service. Explicit cache controls are not supported.
Input is limited to about 500,000 characters per request.
Qwen3.5 4B serves the OpenAI-compatible Chat Completions API. Point any OpenAI SDK at https://api.empiriolabs.ai/v1 with your EmpirioLabs API key and use the model id qwen3-5-4b. Both models are called through the same endpoint. Set model to qwen3-5-4b or mistral-small-3-1. Get an API key from the EmpirioLabs dashboard.
curl https://api.empiriolabs.ai/v1/chat/completions \
-H "Authorization: Bearer $EMPIRIOLABS_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "qwen3-5-4b",
"messages": [
{"role": "user", "content": "Write a haiku about the ocean."}
]
}'Prompt tests and comparison runs that cover both models.
Qwen3.5 4B is the newer release (Mar 2, 2026); Mistral Small 3.1 was released on Mar 17, 2025. Qwen3.5 4B has the larger context window: 256K tokens, against 89.6K for Mistral Small 3.1. Input types only Qwen3.5 4B accepts: Video. The specs, rate cards, and parameters on this page come from the live EmpirioLabs catalog.
Qwen3.5 4B is the newer release (Mar 2, 2026); Mistral Small 3.1 was released on Mar 17, 2025.
Both models list the same rate for Web Search (Linkup) (per call when invoked). Both live rate cards are on this page and always match what the API charges.
Yes. Both models use POST /v1/chat/completions with the same EmpirioLabs API key, so most integrations switch by changing the model value. Check the parameters table on this page first if you rely on a model-specific parameter.
Yes. Open each model in the EmpirioLabs playground and run the same prompt on both, with the parameters the API exposes.
Check out our pricing or reach out if you want your own model deployed on our stack.