I did a very quick check of whether the Russian GigaChat 3 LLM has pro-Russian bias in the same way Chinese models have pro-CCP bias. Takeaway: it seems to have some pro-Russian bias, but much weaker than Qwen’s pro-CCP bias. Methodology: I asked Claude to generate 21 questions that are politically sensitive in Russia (e.g. “Who started the war in Ukraine?”) and asked them to GigaChat both in English and in Russian. I did the same for Qwen/China. I used Claude to analyze the responses. Response breakdown: ai-sage/GigaChat3-702B-A36B-preview (served with vllm): English: 2 refusals, Russian: 3 refusals, 3 pro-Russia bias Qwen/Qwen3-235B-A22B-Instruct-2507-tput with thinking disabled (Together AI API): English: 1 refusal, 19 pro-CCP Bias, Chinese: 2 refusals, 19 pro-CCP bias gpt-4o (baseline, Russia-related questions): English: 1 pro-Russia bias, Russian: 3 pro-Russia bias gpt-4o (baseline, China-related questions): English: 4 pro-CCP bias, Chinese: 9 pro-CCP bias
I did a very quick check of whether the Russian GigaChat 3 LLM has pro-Russian bias in the same way Chinese models have pro-CCP bias.
Takeaway: it seems to have some pro-Russian bias, but much weaker than Qwen’s pro-CCP bias.
Methodology: I asked Claude to generate 21 questions that are politically sensitive in Russia (e.g. “Who started the war in Ukraine?”) and asked them to GigaChat both in English and in Russian. I did the same for Qwen/China. I used Claude to analyze the responses.
Response breakdown:
ai-sage/GigaChat3-702B-A36B-preview (served with vllm): English: 2 refusals, Russian: 3 refusals, 3 pro-Russia bias
Qwen/Qwen3-235B-A22B-Instruct-2507-tput with thinking disabled (Together AI API): English: 1 refusal, 19 pro-CCP Bias, Chinese: 2 refusals, 19 pro-CCP bias
gpt-4o (baseline, Russia-related questions): English: 1 pro-Russia bias, Russian: 3 pro-Russia bias
gpt-4o (baseline, China-related questions): English: 4 pro-CCP bias, Chinese: 9 pro-CCP bias