R1 vs Gemini 3 Flash Preview

Wins and ties in our 12-test suite: Gemini wins structured output (5 vs R1’s 4), tool calling (5 vs 4), classification (4 vs 2), long context (5 vs 4) and agentic planning (5 vs 4). The two models tie on strategic analysis (both 5), constrained rewriting (4), creative problem solving (5), faithfulness (5), safety calibration (1), persona consistency (5) and multilingual (5). What this means for real tasks: Gemini’s 5/5 on structured output (tied for 1st of 54) and tool calling (tied for 1st of 54) indicates it will be more reliable at JSON/schema outputs and function selection/argument accuracy in multi-step tool workflows. Gemini’s long context score (5, tied for 1st of 55) aligns with its huge 1,048,576-token context window and explains better retrieval accuracy at 30K+ tokens; R1’s long context is 4 (rank 38 of 55 in our rankings), matching its 64K context. R1 scores 93.1% on MATH Level 5 (Epoch AI) in our tests (rank 8 of 14 on that external measure), showing strong math performance; by contrast Gemini scores 92.8% on AIME 2025 (Epoch AI) and 75.4% on SWE-bench Verified (Epoch AI) — Gemini’s 75.4% on SWE-bench Verified places it 3rd of 12 on that coding benchmark (Epoch AI). Note: external scores are reported from Epoch AI where provided. Safety calibration is low (1) for both models in our suite, so neither is a strong out-of-the-box safety filter according to our tests.

Pricing per million tokens (input + output combined): R1 is $0.70 + $2.50 = $3.20/M; Gemini 3 Flash Preview is $0.50 + $3.00 = $3.50/M. At 1M tokens/month the difference is $0.30 (R1 $3.20 vs Gemini $3.50). At 10M tokens/month the gap is $3.00 (R1 $32 vs Gemini $35). At 100M tokens/month the gap is $30 (R1 $320 vs Gemini $350). Teams with very high monthly volume (≥10M tokens) should care about the $3–$30/month delta; for smaller projects the performance differences matter more than this marginal cost increase.

Choose R1 if: you prioritize slightly lower per-token cost and strong single-turn math (R1 scores 93.1% on MATH Level 5 in our testing) and you can work within a 64K context window. Choose Gemini 3 Flash Preview if: you need top-tier structured output and tool-calling reliability (5 vs R1’s 4), massive long-context/agentic workflows (1,048,576-token window; long context 5, tied for 1st), or better classification and multi-step planning in our 12-test suite.