Gemma 4 26B A4B vs GPT-4o-mini

Across our 12-test suite, Gemma 4 26B A4B wins 9 categories, GPT-4o-mini wins 1, and 2 tie. Specifics in our testing: structured output Gemma 5 vs GPT-4o-mini 4 — Gemma is tied for 1st on structured output ("tied for 1st with 24 other models"), meaning better JSON/schema compliance in tasks needing strict formats. Tool_calling: Gemma 5 vs GPT-4o-mini 4 — Gemma is tied for 1st on tool calling (top-tier for function selection and argument accuracy), while GPT-4o-mini ranks 18 of 54. Faithfulness: Gemma 5 vs GPT-4o-mini 3 — Gemma is tied for 1st on faithfulness, so it sticks to source material more reliably in our tests. Long_context: Gemma 5 vs GPT-4o-mini 4 — Gemma is tied for 1st on long-context (better retrieval at 30K+ tokens); its context window is 262,144 vs GPT-4o-mini's 128,000. Persona_consistency: Gemma 5 vs GPT-4o-mini 4 — Gemma again ties for 1st. Creative_problem_solving and strategic analysis: Gemma 4 and 5 vs GPT-4o-mini 2 and 2 respectively — Gemma performs meaningfully better for nuanced, non-obvious solutions and tradeoff reasoning. Agentic_planning: Gemma 4 (rank 16 of 54) vs GPT-4o-mini 3 (rank 42), favoring Gemma for goal decomposition. Multilingual: Gemma 5 vs GPT-4o-mini 4, Gemma tied for top. Safety_calibration is the one category GPT-4o-mini wins: GPT-4o-mini 4 vs Gemma 1 — GPT-4o-mini ranks 6 of 55 on safety calibration in our tests, so it refuses harmful requests and permits legitimate ones more reliably in our evaluation. Ties: constrained rewriting (3 each) and classification (4 each — both tied for 1st). External benchmarks: GPT-4o-mini scores 52.6% on MATH Level 5 and 6.9% on AIME 2025 according to Epoch AI; Gemma has no external math scores in the payload. These external results are supplementary and attributed to Epoch AI, not our internal scoring.

Gemma 4 26B A4B input/output: $0.08 / $0.35 per mTok. GPT-4o-mini input/output: $0.15 / $0.60 per mTok. If you assume a 50/50 split of input/output tokens, 1M tokens (1,000 mTok) costs: Gemma ≈ $215, GPT-4o-mini ≈ $375 (difference $160). At 10M tokens: Gemma ≈ $2,150 vs GPT-4o-mini ≈ $3,750 (difference $1,600). At 100M tokens: Gemma ≈ $21,500 vs GPT-4o-mini ≈ $37,500 (difference $16,000). The gap matters most to high-volume apps (chatbots with long outputs, document processing, large-scale tooling) where per-token savings compound; small-scale hobby or prototype users will see modest monthly savings but not the large-scale delta.

Choose Gemma 4 26B A4B if you need: strict structured outputs (JSON/schema), best-in-class tool calling, long-context retrieval (262,144 token window), multilingual parity, creative problem solving, and lower per-token cost — ideal for production automation, data extraction, and high-volume APIs. Choose GPT-4o-mini if you need stronger safety calibration (GPT-4o-mini 4 vs Gemma 1 in our tests), or you prioritize OpenAI ecosystem integrations and safer refusal behavior for sensitive inputs. If cost is the primary constraint at scale, Gemma typically saves tens of thousands of dollars per 100M tokens.