Comprehensive side-by-side LLM comparison
Gemini 3.1 Pro supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
Google DeepMind
Gemini 3.1 Pro is a multimodal language model from Google DeepMind, released in preview in February 2026 as a point-version upgrade to Gemini 3 Pro focused on improving reasoning depth, factual grounding, and coding and agentic task performance. The model accepts text, images, video, audio, and PDFs as inputs across a 1M token context window, extending the multimodal breadth of the Gemini 3 series with a companion endpoint specifically optimized for custom tool use in agentic pipelines. Google describes it as built to refine the reliability and performance of the Gemini 3 Pro series, reflecting an incremental engineering iteration rather than an architectural overhaul.
Mistral AI
Mistral Small 3 is a 24-billion-parameter open-weight language model from Mistral AI, released in January 2025 as an update to the Mistral Small line with targeted improvements to instruction-following, multilingual reasoning, and structured output quality. Released under Apache 2.0, it was designed for deployment on a single high-VRAM GPU, continuing Mistral's focus on practical efficiency over maximum scale. The model became a widely-used option for teams building internal tooling, customer-facing applications, and local inference pipelines that needed strong general capability without the operational overhead of larger models.
1 year newer

Mistral Small 3 24B
Mistral AI
2025-01-30

Gemini 3.1 Pro
Google DeepMind
2026-02-19
Context window and performance specifications
Gemini 3.1 Pro
2025-01
Available providers and their performance metrics
Gemini 3.1 Pro
Mistral Small 3 24B
Gemini 3.1 Pro
Mistral Small 3 24B
Gemini 3.1 Pro
Mistral Small 3 24B