Shanghai AI Lab / internlm/intern-s2-free

Intern-S2 - access through LLMTR

Intern-S2 (书生-S2) is Shanghai AI Lab's multimodal foundation model for scientific reasoning and long-horizon agent tasks. It was trained by reading scientific papers together with their figures and refined with reinforcement learning across more than twenty scientific domains, so it can answer questions that depend on figures, charts and tables in an image. Its context window is 262,144 tokens and it accepts text and images (URL or base64). Tool calling is supported; use auto for tool_choice. response_format (JSON mode) is not supported, so ask for JSON in the prompt when you need it. The model reasons before answering by default and the reasoning text arrives in reasoning_content; to turn reasoning off, send "reasoning": false or add :fast to the model id. Reasoning tokens count toward max_tokens, so a short max_tokens can cut the answer off before reasoning ends. It is free until 31 October 2026, 23:59 (TRT), with 500,000 tokens per person per day (input and output together).

Technical specifications

Canonical IDinternlm/intern-s2-free
ProviderShanghai AI Lab
Context window262,144 tokens
OperationsCHAT_COMPLETIONS
Modalitiestext, image

Pricing

An 8% platform margin applies to credit top-ups; model usage prices are not separately marked up.

OperationMetricUnitPrice
CHAT_COMPLETIONSINPUT_TEXTPER_1M_TOKENSNot available
CHAT_COMPLETIONSOUTPUT_TEXTPER_1M_TOKENSNot available

Example usage

With existing OpenAI SDK flows, change only the base URL and model identifier.

curl https://llmtr.com/v1/chat/completions   -H "Authorization: Bearer llmtr-your_key"   -H "Content-Type: application/json"   -d '{"model":"internlm/intern-s2-free","messages":[{"role":"user","content":"Hello"}]}'

Guides about this model

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