DeepSeek V3.2 vs Gemma 4 26B A4B

Head-to-head across our 12-test suite: DeepSeek V3.2 wins 3 tests (constrained_rewriting 4 vs 3; safety_calibration 2 vs 1; agentic_planning 5 vs 4). Gemma 4 26B A4B wins 2 tests (tool_calling 5 vs 3; classification 4 vs 3). Seven tests tie at parity: structured_output (5/5, both tied for 1st), strategic_analysis (5/5, both tied for 1st), creative_problem_solving (4/4, both rank 9), faithfulness (5/5, both tied for 1st), long_context (5/5, both tied for 1st), persona_consistency (5/5, both tied for 1st), and multilingual (5/5, both tied for 1st). Context and impact: Gemma’s 5/5 on tool_calling (tied for 1st among 54) means it selects functions and arguments more reliably for tool-based pipelines — important for orchestration and tool chains. DeepSeek’s 5/5 agentic_planning (tied for 1st) and its better safety_calibration (2 vs 1; DeepSeek ranks 12 of 55 vs Gemma’s rank 32) matter when you need robust goal decomposition and stricter refusal behavior. Classification is another clear Gemma win: 4 vs 3, with Gemma tied for 1st on that task (useful for routing and triage). For long contexts, structured output, faithfulness, persona consistency and multilingual tasks both models are effectively tied at top ranks, so expect similar performance there. Constrained rewriting favors DeepSeek (4 vs 3; DeepSeek rank 6 vs Gemma rank 31), so it handles tight character budgets better.

Raw token costs: DeepSeek V3.2 charges $0.26 input + $0.38 output per M tokens; Gemma 4 26B A4B charges $0.08 input + $0.35 output per M. Assuming a 50/50 split of input/output tokens, total cost per 1M tokens is $0.64 for DeepSeek vs $0.43 for Gemma (difference $0.21). At 10M tokens/month that's $6.40 vs $4.30 (difference $2.10). At 100M tokens/month it's $64.00 vs $43.00 (difference $21.00). The cost gap grows linearly — teams with high monthly volume (10M–100M+ tokens) should prefer Gemma to reduce recurring spend; teams that need superior agentic planning and stricter safety behavior may accept DeepSeek’s ~8.6% higher price ratio for those capabilities.

Choose DeepSeek V3.2 if you need best-in-class agentic planning, stronger safety calibration, and superior constrained rewriting — e.g., autonomous agents, multi-step goal decomposition, or apps that must refuse risky queries. Choose Gemma 4 26B A4B if you need cheaper input cost, better tool calling and classification, or multimodal inputs (text+image+video→text) — e.g., tool-driven pipelines, high-volume routing, or multimodal ingestion where per-token cost is a dominant factor.